Sr. Manager/ Associate Director, Data Management

🏢 Summary: The Director Clinical Data Management leads and oversees all clinical data management activities across multiple clinical trials, ensuring high-quality, inspection-ready data to support regulatory submissions and business objectives. This role sets data strategy, manages CROs and vendors, and drives risk-based quality and process excellence across Phase I–III programs. The position collaborates cross-functionally to deliver compliant data aligned with global regulatory standards. 🗂️ Requirements: BS/BA in Life Sciences, Engineering, Computer Science, Mathematics, Statistics or related field, 12+ years (MS) or 15+ years (BS) in clinical data management in biotech, pharma, or CRO, 5+ years of people management experience, Experience supporting Phase I–III clinical trials, Experience overseeing CROs and external data management vendors, Strong knowledge of CDISC standards, Strong knowledge of GCP and ICH Guidelines, Strong knowledge of FDA and global regulatory requirements, Experience with modern EDC systems (Medidata Rave, Veeva CDMS, Oracle or equivalent), Experience with risk-based quality management (RBQM) 📃 Skills: CDISC, GCP, ICH, FDA, EDC, Medidata, Rave, Veeva, Oracle, RBQM 🏢 Description: Position Summary: The Director Clinical Data Management provides strategic and operational leadership for all clinical data management activities across the clinical development portfolio. This individual serves as the functional leader for Data Management, responsible for establishing data strategy, overseeing external partners, driving process excellence, and ensuring the delivery of high-quality, inspection-ready clinical data that supports clinical development, regulatory submissions, and business objectives. Essential Duties and Responsibilities: Lead and oversee all clinical data management activities across multiple clinical studies and development programs. Develop and implement data management strategies that support clinical, regulatory, and business objectives. Provide leadership and oversight of CROs and technology vendors responsible for data management deliverables. Ensure quality, integrity, consistency, and timely availability of clinical trial data. Collaborate closely with Biostatistics, Statistical Programming, Clinical Operations, Clinical Development, Medical Monitoring, Regulatory Affairs, and Pharmacovigilance teams. Review and approve key study documentation including: Data Management Plans Edit Check Specifications CRF Design Data Review Plans Database Build and Validation Documentation Drive risk-based data review and quality management practices. Support regulatory inspections and audits. Contribute to submission readiness activities including NDA, BLA, MAA, and other global regulatory filings. Build scalable data management processes, standards, and SOPs as the organization grows. Mentor and develop internal team members and consultants. Required Education and Experience: BS/BA degree in Life Sciences, Engineering, Computer Science, Mathematics, Statistics, or related field; MS/MA degree preferred. 12+ (if MS/MA degree) or 15+ (if BS/BA degree) years of clinical data management experience within biotechnology, pharmaceutical, CRO, or related environments. 5+ years of people management experience. Demonstrated experience supporting Phase I–III clinical trials. Experience overseeing external data management vendors and CRO partnerships. Strong understanding of: CDISC standards GCP ICH Guidelines FDA and global regulatory requirements Experience with modern EDC systems such as Medidata Rave, Veeva CDMS, Oracle, or equivalent platforms. Additional Skills, Knowledge, Abilities: Experience with risk-based quality management (RBQM).

🏢 Summary: The Senior Manager / Associate Director, Statistical Programming leads and oversees statistical programming activities across clinical development programs, ensuring high-quality, regulatory-compliant deliverables for trials and submissions. The role drives strategy, vendor oversight, CDISC standards implementation, and cross-functional collaboration while mentoring programming teams. It offers significant impact on regulatory submissions, data standards, and biometrics process innovation. 🗂️ Requirements: Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or related quantitative field (or Bachelor’s with significant relevant experience), 7+ years (Senior Manager) or 9+ years (Associate Director) statistical programming experience in biotech, pharma, or CRO, Experience as lead programmer supporting clinical development programs and regulatory submissions, Advanced proficiency in SAS programming (Base, Stat, Graph, Macro, SQL), Extensive experience with CDISC standards (SDTM, ADaM, Define.xml), Strong knowledge of ICH, GCP, FDA, EMA regulatory requirements, Experience managing CROs, FSPs, or external programming vendors 📃 Skills: SAS, BaseSAS, SASStat, SASGraph, SASMacro, SQL, R, CDISC, SDTM, ADaM, Define.xml, Pinnacle21, ICH, GCP, FDA, EMA 🏢 Description: Position Summary: The Senior Manager / Associate Director, Statistical Programming will provide strategic and operational leadership for statistical programming activities across one or more clinical development programs. This individual will be responsible for the planning, execution, oversight, and delivery of statistical programming outputs supporting clinical trials, regulatory submissions, publications, and internal decision-making. The successful candidate will serve as a key partner to Biostatistics, Clinical Data Management, Clinical Operations, Medical, Medical Affairs, Regulatory Affairs, Pharmacovigilance, and external vendors to ensure high-quality, compliant, and timely programming deliverables. This role offers the opportunity to influence programming standards, mentor team members, and contribute to the continued growth of the Biometrics organization. Essential Duties and Responsibilities: Statistical Programming Leadership Lead statistical programming activities for one or more clinical studies, programs, or therapeutic areas. Provide strategic oversight and accountability for the development, validation, and delivery of statistical programming outputs, including SDTM and ADaM data packages (SDRG, ADRG, Define.xml, submission-ready datasets), and Tables, Listings, Figures (TLFs). Ensure programming deliverables meet quality, timeline, regulatory, and audit-readiness requirements. Support regulatory submissions, health authority interactions, publications, and ad hoc analyses. Vendor and CRO Oversight Manage and oversee outsourced statistical programming activities conducted by CROs and external partners. Review and validate datasets, TLFs, specifications, and programming documentation generated by vendors. Monitor vendor performance, timelines, quality metrics, and resource allocation to ensure successful project execution. Establish and maintain effective partnerships with external programming and biometrics vendors. Cross-Functional Collaboration Partner closely with Biostatistics, Data Management, Clinical Operations, Medical, Medical Affairs, Regulatory Affairs, Pharmacovigilance, and other stakeholders to deliver high-quality clinical data and analyses. Review and provide programming input on Protocols, Statistical Analysis Plans (SAPs), Data Management Plans (DMPs), CRFs, annotated CRFs, data review plans, and dataset and TLF specifications. Collaborate on the development of data review tools, dashboards, visualizations, and other statistical applications to support clinical development activities. Communicate programming strategies, timelines, risks, and resource needs to project teams and leadership. Standards, Innovation, and Process Improvement Contribute to the development, implementation, and continuous improvement of internal statistical programming standards, processes, and best practices. Assist with establishing framework of programming environment, including library of macros. Drive adoption of CDISC standards, programming automation, and innovative analytical solutions. Maintain expertise in regulatory requirements, industry standards, and emerging technologies related to statistical programming. Support inspection readiness and represent Statistical Programming during audits and regulatory inspections as needed. Team Leadership and Development Mentor, coach, and develop junior statistical programmers to support individual growth and organizational success. Provide leadership and technical guidance to internal and external programming teams. Participate in recruiting, onboarding, and developing programming talent. Foster an inclusive, collaborative, and psychologically safe environment that encourages innovation, learning, and accountability. Required Education and Experience: Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related quantitative discipline. Bachelor's degree with significant relevant experience will also be considered. Sr Manager: 7+ years of statistical programming experience within the biotechnology, pharmaceutical, or CRO industry; Associate Director: 9+ years of experience. Demonstrated experience serving as a lead programmer supporting clinical development programs and regulatory submissions. Advanced proficiency in SAS programming, including Base SAS, Stat, Graph, Macro, SQL, and generation of submission-ready deliverables. Working knowledge of R or other modern statistical programming languages is a plus. Experience with producing publication-quality statistical graphics using SAS/R is a plus. Experience with building/contributing to global SAS macro library for TFL generation is highly desirable. Extensive experience with CDISC standards, including SDTM, ADaM, Define.xml, controlled terminology, and regulatory submission requirements. Experience with Pinnacle 21 is a plus. Strong understanding of ICH guidelines, GCP, FDA, EMA, and other global regulatory requirements. Experience managing external CROs, FSPs, or programming vendors. Excellent project management, organizational, communication, and stakeholder management skills. Preferred Experience supporting multiple clinical programs from early development through regulatory submission. Experience implementing programming standards, automation initiatives, or modern analytics platforms.

🏢 Summary: Senior Manager / Associate Director, Biostatistics role providing strategic and operational statistical leadership across clinical development programs. The position leads study design, analysis, regulatory interactions, and cross-functional collaboration to support global submissions and evidence generation. This role influences development strategy, applies advanced statistical methodologies, and oversees statistical deliverables for clinical trials and post-marketing research. 🗂️ Requirements: PhD in Biostatistics, Statistics or related quantitative field with 4–6+ years industry experience OR MS with 6–8+ years industry experience, Experience providing statistical leadership for clinical development programs and clinical trials, Strong knowledge of clinical trial methodology, study design, statistical analysis, and regulatory requirements, Experience supporting regulatory submissions and health authority interactions, Experience leading cross-functional teams, Expertise in adaptive designs, longitudinal analyses, survival analyses, integrated analyses, Experience overseeing CROs and external statistical vendors, Proficiency in SAS and/or R, Strong understanding of ICH, FDA, EMA and global regulatory guidance 📃 Skills: SAS, R, Biostatistics, Statistics, ClinicalTrials, AdaptiveDesign, LongitudinalAnalysis, SurvivalAnalysis, IntegratedAnalysis, HEOR, RealWorldEvidence, ICH, FDA, EMA 🏢 Description: Position Summary: Senior Manager / Associate Director, Biostatistics to provide strategic and operational statistical leadership across clinical development programs. This individual will serve as the lead biostatistician for one or more clinical development programs and will partner closely with Clinical Development, Medical Affairs, Data Management, Statistical Programming, Regulatory Affairs, and external partners to ensure the delivery of high-quality statistical strategy, analyses, and regulatory submissions. The successful candidate will contribute to study design, protocol development, analysis planning, interpretation of clinical data, regulatory interactions, and evidence generation activities that support development, registration, and lifecycle management of programs. This role offers the opportunity to influence development strategy, advance innovative statistical methodologies, and contribute to regulatory and business decision-making. Essential Duties and Responsibilities: Statistical Leadership & Clinical Development - Lead the biostatistics strategy for one or more clinical development programs and studies. - Serve as the statistical representative on cross-functional study teams, Clinical Development Teams, and governance committees. - Collaborate with Clinical Development and Medical teams to design clinical studies aligned with program objectives, regulatory expectations, and business needs. - Provide strategic input into clinical development plans, including study design, endpoint selection, sample size determination, interim analyses, and decision criteria. - Identify potential statistical, operational, or scientific challenges and proactively develop solutions. - Evaluate and implement innovative statistical methodologies to enhance development strategies and study efficiency. - Support quantitative decision-making, including benefit-risk assessments, probability of technical success analyses, and Go/No-Go evaluations. Study Design, Analysis & Reporting - Author and/or review statistical sections of protocols, statistical analysis plans (SAPs), data review plans, and study reports. - Develop and/or oversee analysis strategies, including tables, listings, and figures (TLFs), ensuring methodological rigor and regulatory compliance. - Ensure timely delivery and quality of statistical analyses for interim reviews, final analyses, integrated summaries, and regulatory submissions. - Interpret study results and effectively communicate findings to technical and non-technical audiences. - Prepare and review abstracts, posters, manuscripts, presentations, and scientific publications. Regulatory & External Interactions - Contribute to regulatory strategies and support global submissions. - Represent Biostatistics during interactions with health authorities, including FDA, EMA, PMDA, and other regulatory agencies, as appropriate. - Support responses to regulatory questions related to study design, analysis methodologies, and interpretation of results. - Ensure statistical deliverables meet applicable ICH, FDA, EMA, and other global regulatory requirements. Medical Affairs, HEOR & Evidence Generation - Provide statistical leadership for post-marketing studies, observational research, registry studies, real-world evidence initiatives, and outcomes research activities, as applicable. - Support evidence generation strategies that address clinical, scientific, payer, and market access objectives. - Collaborate with cross-functional partners to identify evidence gaps and develop analytical approaches to address unmet evidence needs. - Contribute statistical expertise to publications, scientific communications, and evidence dissemination activities. Vendor Oversight & Operational Excellence - Oversee CROs, functional service providers, and external statistical vendors to ensure high-quality deliverables and adherence to timelines. - Collaborate with Statistical Programming and Data Management to ensure data quality and efficient execution of analyses. - Support departmental initiatives focused on process improvement, innovation, quality standards, and inspection readiness. - Contribute to the development and maintenance of statistical standards, procedures, and best practices. Required Education and Experience: Sr Manager: - Ph.D. in Biostatistics, Statistics, or a related quantitative discipline with a minimum of 4 years of pharmaceutical, biotechnology, or clinical research experience; or M.S. with a minimum of 6 years of experience. Associate Director: - Ph.D. in Biostatistics, Statistics, or a related quantitative discipline with a minimum of 6 years of relevant pharmaceutical industry experience; or M.S. with a minimum of 8 years of experience. - Demonstrated experience providing statistical leadership for clinical development programs and clinical trials. - Strong knowledge of clinical trial methodology, study design, statistical analysis, and regulatory requirements. - Experience supporting regulatory submissions and health authority interactions. - Experience leading cross-functional teams and influencing development strategies. - Expertise in statistical methods applicable to clinical development, including adaptive designs, longitudinal analyses, survival analyses, and integrated analyses. - Experience overseeing CROs and external statistical vendors. - Proficiency in SAS and/or R. - Strong understanding of ICH, FDA, EMA, and other global regulatory guidance. - Experience with real-world evidence, observational studies, HEOR, or post-marketing research is a plus. - Experience in immunology, inflammation, autoimmune disease, or related therapeutic areas is preferred.

🏢 Summary: Leadership role responsible for driving data analytics strategy and integrating AI to enhance predictive capabilities, operational efficiency, and strategic decision-making in a highly regulated pharmaceutical environment. The position leads cross-functional analytics initiatives, ensures regulatory compliance, and manages a high-performing data team aligned with business goals. Focused on innovation and governance, the role leverages advanced analytics and AI to support organizational growth and performance. 🗂️ Requirements: Bachelor's degree in Data Science, Business Analytics, or related field, Minimum 5 years of experience in data analytics or related roles, At least 2 years of leadership experience, Proven experience leveraging AI in data analytics, Experience in a highly regulated industry, Strong knowledge of data governance and regulatory compliance, Proficiency in data analytics tools and AI-driven platforms 📃 Skills: AI, Analytics, DataScience, PredictiveAnalytics, DataGovernance, Compliance, ProjectManagement, Reporting, DataManagement 🏢 Description: Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with Empower's growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing Empower's competitive edge and operational efficiency. RESPONSIBILITIES Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with Empower's business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to the company's growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower's commitment to compliance and ethical practices. Cross-Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes. KNOWLEDGE AND SKILLS Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively. EXPERIENCE AND QUALIFICATIONS Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Full-time remote B2B contract for a Senior Software Consultant to take technical ownership of a Python-based manufacturing analytics solution in a regulated pharmaceutical environment. The role focuses on evolving and scaling the application, improving architecture, ensuring compliance, and supporting cloud-based deployment. It requires strong autonomy, database expertise, and experience delivering controlled, traceable changes in regulated settings. 🗂️ Requirements: Strong experience in Python application development, Experience developing and supporting production software solutions, Solid knowledge of relational databases, Ability to design and evolve database schemas and SQL data flows, Experience with PostgreSQL or similar database, Proven ownership of a production system, Ability to quickly understand and take over existing codebase, Experience with automated testing, Experience with documentation and change control processes, Experience working in regulated environments, Experience with cloud-based solutions or modern deployments, Ability to work independently as a senior technical resource, Fluent English 📃 Skills: Python, SQL, PostgreSQL, AWS, Terraform, CDK, Streamlit, Dash, Cloud, Docker, Serverless, MES 🏢 Description: 🌍Work mode - fully remote. 📑 Assignment type : B2B ⏳Contract length > 6 months + extensions. ⏰Start - ASAP/1 month. 📕Language - English. ⚙️Industry - healthcare/pharmaceutical. 💼 Recruitment process - 2 interviews with the client. 💻 Workload : Full time (40 hours a week). Summary: We are seeking a Senior Software Consultant to take technical ownership of an existing manufacturing analytics solution within the pharmaceutical production environment. This role involves evolving the solution through new use cases, scaling, architectural improvements, and ensuring compliance with regulatory standards. Main Responsibilities: Take technical ownership of an existing Python-based application and drive its evolution through new use cases, scaling, architectural improvements, and maintainability enhancements. Design and implement new features based on business, manufacturing, process-support, and quality needs. Work with relational databases, including schema design, SQL, migrations, performance considerations, data quality, and auditability. Support and improve the application's cloud-based deployment and operational setup. Contribute to architectural improvements that enable the solution to scale from a local use case toward a broader platform. Ensure that changes are tested, documented, and implemented in a controlled and traceable manner. Collaborate with process supporters, subject-matter experts, QA, IT, and other stakeholders. Translate business, process, and compliance needs into pragmatic technical solutions. Support handover, knowledge transfer, and long-term maintainability of the solution. Where relevant, contribute to follow-up activities related to Data Integrity and IT Risk Assessment. Key Requirements: Strong experience with Python application development . Experience developing, maintaining, and supporting production software solutions. Solid understanding of relational databases, preferably PostgreSQL or similar . Ability to design, understand, and evolve database schemas and SQL-based data flows. Track record of solo or near-solo ownership of a production system. Ability to understand an existing codebase and take ownership of it quickly. Treats automated testing as a key part of delivery. Experience working with documentation, change control, structured delivery processes, and maintainable handover material. Comfortable working in environments where traceability and controlled changes are critical. Experience with cloud-based solutions or modern deployment environments. Strong communication skills and ability to collaborate with both technical and non-technical stakeholders. Proven ability to work independently as a senior technical resource. Nice to Have: Experience in pharmaceutical, biotech, medical device, or another regulated environment. Familiarity with GxP, computerized systems validation, data integrity, and controlled software changes. Experience with Streamlit, Dash, or similar Python-based application frameworks. Experience with AWS or another major cloud platform. Familiarity with Infrastructure-as-Code tools such as AWS CDK, Terraform, or similar. Experience with containerized applications, serverless jobs, managed databases, or similar cloud components. Experience with manufacturing systems, MES systems, or industrial analytics. Familiarity with Statistical Process Control or similar process-monitoring methods. Experience scaling solutions into a more reusable platform. Experience supporting validation, risk assessment, or quality documentation in regulated environments. Other Details: Tools/Methodologies: Python, SQL, Cloud Technologies Compliance: Experience in a regulated environment required

🏢 Summary: Leadership role focused on building and managing an AI & Data practice, driving client engagement, technical strategy, and delivery across AI, machine learning, data engineering, and cloud platforms. The position combines practice leadership, pre-sales support, team development, and hands-on technical oversight for scalable AI and data solutions. The role is on-site in Greensboro, NC, Broomfield, CO, or Troy, MI with competitive salary and performance bonus. 🗂️ Requirements: 12-15 years in consulting, engineering services, or technology-driven organizations, 5+ years in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Knowledge of Generative AI technologies and LLM ecosystems, Experience with AI/ML frameworks, Experience with data engineering platforms and distributed systems, Experience with cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations, Bachelor's degree in Computer Science, Data Science, AI, or related field 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning, DataEngineering, PromptEngineering, Containerization, Orchestration 🏢 Description: Responsibilities Practice Leadership & Management Lead and manage the AI & Data practice. Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development Provide line management and leadership to members of the practice including technical leadership across AI and Data. Define skills development objectives for practice members and evaluate progress and effectiveness. Develop, improve, and standardize processes, methodologies, and tools. Foster a culture of collaboration, innovation, and knowledge sharing across the practice. Client Engagement & Pre-Sales Partner with Sales and Account teams to identify and shape AI & Data opportunities. Lead or contribute to solutioning, proposals, and RFP responses. Act as a trusted advisor in client discussions and executive forums. Align AI & Data solutions with business value and client outcomes. Technical Leadership & Innovation Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) Support delivery teams with hands-on guidance and expert oversight. Drive development of AI & Data offerings, accelerators, and reusable assets. Identify opportunities for AI-driven productivity gains and automation. Ensure adoption of industry best practices and scalable architectures. Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - Experience with AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Experience with Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Experience with Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - Experience with MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Skills & Competency Management - Create, maintain, and manage the practice skill matrix - Identify competency gaps and develop capability-building plans - Develop and coordinate technical training programs and certification initiatives - Build and strengthen a team of experts through recruitment, coaching and mentoring, internal talent development and training - Support career development planning and succession management within the practice - Promote technical communities, best practices, and continuous learning initiatives Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range: $160,000-$190,000 + Annual Performance Bonus Note: This position is on-site and can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. Drug Screening Requirement: Candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Leadership role focused on managing and scaling an AI & Data practice, including technical leadership, client engagement, pre-sales support, and innovation across AI, ML, cloud, and data engineering domains. The position involves leading technical teams, developing AI solutions and reusable assets, and driving competency development and best practices. The role is onsite in Greensboro, NC, Broomfield, CO, or Troy, MI, with a salary range of $160,000–$190,000 plus bonus. 🗂️ Requirements: 12-15 years experience in consulting, engineering services, or technology-driven organizations, 5+ years experience in AI, Data, or Analytics leadership roles, Experience building and scaling technical teams or practices, Bachelor's degree in Computer Science, Data Science, AI, or related field, Experience with Generative AI technologies, Experience with AI/ML frameworks, Experience with Data Engineering tools and distributed systems, Experience with Cloud AI ecosystems, Experience with MLOps or LLMOps tools, Understanding of data governance, security, and AI regulations 📃 Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Databricks, AWS, Azure, GCP, SageMaker, Bedrock, Vertex, MLflow, Kubeflow, ETL, ELT, RAG, LLMOps, MLOps, AI, MachineLearning, DeepLearning 🏢 Description: Responsibilities Practice Leadership & Management Lead and manage the AI & Data practice. Manage and steer the allocation of practice resources across multiple activities, including: - Technical pre-sales support - Technical expertise delivery to projects - Recruitment support - Training and competency development Provide line management and leadership to members of the practice including technical leadership across AI and Data. Define skills development objectives for practice members and evaluate progress and effectiveness. Develop, improve, and standardize processes, methodologies, and tools. Foster a culture of collaboration, innovation, and knowledge sharing across the practice. Client Engagement & Pre-Sales Partner with Sales and Account teams to identify and shape AI & Data opportunities. Lead or contribute to solutioning, proposals, and RFP responses. Act as a trusted advisor in client discussions and executive forums. Align AI & Data solutions with business value and client outcomes. Technical Leadership & Innovation Provide leadership across advanced AI & Data domains: - Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems) - Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh) - Cloud-based AI architectures (AWS, Azure, GCP AI services) - Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) Support delivery teams with hands-on guidance and expert oversight. Drive development of AI & Data offerings, accelerators, and reusable assets. Identify opportunities for AI-driven productivity gains and automation. Ensure adoption of industry best practices and scalable architectures. Skills & Competency Management Create, maintain, and manage the practice skill matrix. Identify competency gaps and develop capability-building plans. Develop and coordinate technical training programs and certification initiatives. Build and strengthen a team of experts through: - Recruitment - Coaching and mentoring - Internal talent development and training Support career development planning and succession management within the practice. Promote technical communities, best practices, and continuous learning initiatives. Qualifications - 12-15 years of experience in consulting, engineering services, or technology-driven organizations - 5+ years of experience in AI, Data, or Analytics leadership roles - Proven experience building and scaling technical teams or practices - Experience in Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services) - Experience in AI/ML frameworks (Python ecosystem, TensorFlow, PyTorch, Scikit-learn) - Experience in Data Engineering tools & platforms (Spark, Databricks, distributed systems) - Experience in Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI) - Experience in MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration) - Understanding of data governance, security, and AI regulations Educational Qualifications - Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field - Certifications in AI/ML, Cloud are a plus Salary Range $160,000-$190,000 + Annual Performance Bonus The actual salary offered is dependent on various factors including location, qualifications, skills, education, training, and experience. This position is on-site and can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. Drug Screening Requirement As a federal contractor, all candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

🏢 Summary: Leadership role responsible for driving inbound sales pipeline growth, market expansion, and revenue acceleration within a highly regulated pharmacy environment. The position leads sales development strategy, team performance, AI-driven analytics adoption, and cross-functional collaboration to optimize forecasting, prospecting, and operational execution. Focused on scalable processes, compliance, and data-driven decision-making to achieve aggressive commercial targets. 🗂️ Requirements: Bachelor's degree in Business, Marketing, Communications, Healthcare Administration or related field, Minimum 5 years experience in sales development, business development, inside sales, or commercial operations, Minimum 3 years direct people leadership experience, Experience with CRM platforms and sales engagement technologies, Experience using AI-enabled analytics and business tools, Strong knowledge of inbound sales methodologies and pipeline management, Experience in regulated, fast-paced environments, Valid driver's license 📃 Skills: CRM, AI, Analytics, Forecasting, Automation, Reporting, Segmentation, LeadScoring, Dashboards, Workflow, SalesEngagement 🏢 Description: POSITION SUMMARY The Manager, Sales Development drives pipeline generation, market expansion, and revenue acceleration by leading a high-performing inbound sales organization within a hyper-growth, highly regulated 503A and 503B pharmacy environment. This role owns sales development strategy, prospecting execution, talent performance, forecasting accuracy, and cross-functional alignment across commercial operations, marketing, analytics, and customer engagement initiatives. The leader leverages AI as a force multiplier to increase speed, scale, lead quality, workflow efficiency, and data-driven decision-making while strengthening operational rigor and customer acquisition outcomes. RESPONSIBILITIES Sales Leadership Pipeline Ownership: Lead and optimize the sales development function by establishing scalable inbound strategies, driving qualified pipeline growth, and aligning prospecting priorities with enterprise revenue objectives. Utilize AI-enabled analytics, workflow automation, and performance intelligence tools to improve targeting precision, accelerate conversion velocity, and enhance forecasting accuracy. Coach high-performing teams through structured accountability, measurable execution standards, and continuous development practices. Talent Development: Recruit, develop, and retain high-performing sales development talent within a fast-paced, highly regulated healthcare environment. Implement structured onboarding, coaching frameworks, and performance management processes. Leverage AI-driven coaching insights, conversation intelligence, and productivity analytics to personalize development plans and accelerate performance outcomes. Performance Execution: Drive operational excellence through disciplined management of sales activity metrics, pipeline health, prospect engagement, and conversion performance. Establish rigorous performance expectations and implement corrective actions to improve efficiency and accountability. Utilize AI-powered dashboards, predictive insights, and reporting tools to strengthen decision-making and optimize resource allocation. Market Expansion Prospecting Strategy: Design and execute targeted inbound prospecting initiatives that expand market reach and accelerate customer acquisition. Partner with marketing, sales leadership, and commercial operations to align outreach strategies with business priorities. Utilize AI-enabled segmentation, lead scoring, and behavioral insights to improve prospect quality and engagement strategies. Customer Engagement: Establish consistent communication standards and data-informed outreach strategies aligned with growth objectives. Collaborate cross-functionally to ensure seamless customer experiences while maintaining regulatory compliance. Leverage AI-supported engagement tools and automation platforms to increase responsiveness and improve conversion effectiveness. Growth Alignment: Align sales development initiatives with enterprise growth strategy by translating priorities into measurable execution plans and operational targets. Apply AI-enabled forecasting, trend analysis, and performance monitoring tools to identify opportunities and accelerate growth initiatives. Operational Excellence Process Optimization: Improve sales development processes and workflows to support scalability and execution rigor. Establish performance benchmarks and implement solutions that enhance productivity and customer acquisition outcomes. Utilize AI-driven automation and reporting capabilities to streamline activities and improve data accuracy. Data Governance: Ensure integrity and accuracy across sales development data and reporting systems. Partner with commercial operations and analytics teams to standardize measurement practices and improve business intelligence. Leverage AI-powered analytics platforms to identify trends and optimize pipeline management. Compliance Management: Maintain adherence to organizational policies and regulatory requirements within a highly regulated environment. Reinforce accountability and ethical conduct across all sales development activities. Utilize AI-enabled monitoring tools and workflow controls to strengthen compliance visibility and reduce operational risk. Cross-Functional Collaboration Strategic Partnership: Build collaborative partnerships across sales, marketing, analytics, customer engagement, and operational teams to support scalable growth. Utilize AI-supported collaboration platforms and reporting tools to improve transparency and execution. Business Communication: Deliver clear communication to executive leadership and stakeholders regarding performance results and strategic priorities. Translate complex data into actionable business insights using AI-driven reporting and visualization tools. Innovation Leadership: Identify emerging technologies and process enhancements to strengthen sales development effectiveness. Encourage continuous learning and data-driven experimentation while maintaining operational discipline within a regulated environment. KNOWLEDGE AND SKILLS - Expertise leading sales development organizations and inbound prospecting strategies - Proficiency with CRM platforms, sales engagement technologies, AI-enabled analytics tools, forecasting systems, workflow automation, and reporting tools - Strong communication, coaching, and stakeholder management skills - Ability to optimize business processes and implement scalable solutions in regulated environments EXPERIENCE AND QUALIFICATIONS - Bachelor's degree in Business, Marketing, Communications, Healthcare Administration, or related field required; Master's preferred - Minimum 5 years of progressive experience in sales development, business development, inside sales, or commercial operations leadership - Minimum 3 years of direct people leadership experience - Experience utilizing CRM platforms, sales engagement technologies, analytics tools, and AI-enabled business solutions - Strong understanding of inbound sales methodologies, prospecting strategies, and pipeline management - Experience operating within highly regulated, fast-paced environments - Valid driver's license required - Preferred certifications: CSP, CBDP, SSLC or related credentials Employee Benefits, Health and Wellness: Comprehensive benefits including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Physical Requirements: Role requires frequent communication, prolonged stationary work, regular computer use, movement around the office and campus, and physical activities such as standing, walking, reaching, climbing, balancing, stooping, kneeling, crouching, or crawling.

🏢 Summary: SQL Server DBA role focused on SQL development, performance optimization, and database administration for healthcare data solutions in a collaborative engineering environment. The position combines hands-on T-SQL development with management of on-premises and cloud SQL Server platforms, emphasizing OLTP systems, security, reliability, and automation. On-site work is required at the Carmel, IN headquarters with flexible work-life balance support. 🗂️ Requirements: 5+ years SQL Server DBA experience in production environments, Experience with SQL Server 2016+ installation, configuration, and maintenance, Hands-on experience with Amazon RDS for SQL Server, Advanced T-SQL query writing and optimization, Knowledge of indexing strategies and execution plans, Performance tuning and troubleshooting skills, Experience with backup, restore, and HA/DR methodologies, Database security and access management experience, Experience with OLTP workloads in 3-tier application environments, Ability to collaborate across Engineering, IT, and Product teams 📃 Skills: SQL, T-SQL, SQLServer, AmazonRDS, Azure, GoogleCloud, PowerShell, OLTP, HIPAA, SOC2, HITRUST, QueryStore, DMVs 🏢 Description: Who We Are Clinical Architecture is at the forefront of healthcare IT innovation. Our team is an ambitious group of diverse leaders who balance creativity and expertise to solve tough problems that make a difference. Our environment is positive, casual, and comprised of people dedicated to delivering world-class solutions and exceptional customer service. SQL Server Database Administrator (DBA) Clinical Architecture is seeking an experienced SQL Server Database Administrator (DBA) to join our team in the Indianapolis, IN area. This role blends hands-on SQL development and developer support (approximately 80%) with core DBA responsibilities (approximately 20%). The SQL Server Database Administrator (DBA) will play a critical role in delivering high-quality, reliable healthcare data solutions by partnering closely with Application Developers, Cloud Engineers, Implementation Architecture, and DevOps teams. The ideal candidate is an experienced SQL Server professional who thrives in a collaborative development environment. This individual will write, review, and optimize SQL, assist with schema design, improve query performance, and promote best-practice coding standards across multiple systems. The role also includes DBA responsibilities such as managing on-premises SQL Server environments and cloud-based SQL platforms (including Amazon RDS, Azure Managed SQL Instances, and Google Cloud SQL), with a focus on availability, security, and overall platform reliability. Experience must be rooted in 3-tier application development with real-time, high-volume transactional (OLTP) workloads, not ETL pipelines or data warehouse environments. This role is required to be on site at our Carmel, IN Headquarters. Clinical Architecture offers ample flexibility to accommodate a healthy work-life balance. Responsibilities Database Administration: - Install, configure, and maintain on-prem SQL Server instances (SQL Server 2016 and newer). - Administer Cloud Service Provider SQL Server instances, including monitoring, snapshots, and instance configuration. - Manage SQL Server Agent jobs, linked servers, Database Mail, and other database platform components. - Implement, monitor, and continuously improve backup and disaster recovery strategies. Performance and Reliability: - Troubleshoot performance issues using execution plans, Query Store, and dynamic management views (DMVs). - Identify and resolve blocking, deadlocks, and query performance bottlenecks. - Design and maintain effective indexing and statistics strategies. SQL Development: - Write, review, and optimize stored procedures, functions, views, and inline SQL used by application teams. - Collaborate with developers to improve schema design, query patterns, and performance optimization. - Promote and enforce SQL coding standards and best practices. Security and Compliance: - Apply least‑privilege security models and manage database access and permissions. - Support compliance initiatives such as HIPAA, SOC 2, and HITRUST, as required. - Ensure encryption, auditing, and secure connectivity are consistently implemented. Monitoring and Automation: - Configure monitoring and alerting for both on-prem SQL Server and Amazon RDS instances. - Automate routine tasks using T‑SQL or PowerShell. - Assist with capacity planning and system lifecycle management. Qualifications and Experience - 5+ years of experience as a SQL Server DBA in a production environment. - Strong experience with SQL Server installation, configuration, and ongoing maintenance. - Hands‑on experience with Amazon RDS for SQL Server. - Advanced T‑SQL skills, including writing and optimizing complex queries. - In-depth knowledge of indexing strategies, execution plans, and performance tuning. - Experience with database security, backup and restore processes, and high availability/disaster recovery (HA/DR) methodologies. - Proven ability to collaborate across Engineering, IT, and Product teams. Benefits - Opportunities for learning, development, and growth. - Experiences that connect you with colleagues. - A laid-back work environment with thoughtful amenities. - Paid Volunteer Time, Paid Holidays & PTO, including winter break week for full-time team members. - Sabbatical opportunities for tenured team members. - Comprehensive Medical, Dental, Vision, and ancillary insurance options for eligible employees. - Maternity and Parental leave benefits. - Employer paid Short-term Disability & Long-term Disability. - Health and Wellness incentives. - 401k Matching.

🏢 Summary: Hybrid Data Analyst role focused on transforming and standardizing clinical study data into analysis-ready datasets, enabling cross-study consistency and reusability. The position involves data wrangling, anomaly detection, FAIR data improvements, and building reproducible workflows using Python, SQL, and AWS tools. The role requires close collaboration with stakeholders to translate ambiguous business questions into structured analytical outputs within a GDPR-compliant environment. 🗂️ Requirements: Proficiency in Python for data analysis and transformation, Proficiency in SQL for querying and validation, Experience with AWS environments including S3, Experience standardizing and harmonizing heterogeneous datasets, Ability to detect patterns, anomalies, and structural differences across datasets, Experience building reproducible data workflows, Experience with data visualization tools, Knowledge of GDPR-compliant data handling, Fluent English (spoken and written) 📃 Skills: Python, SQL, AWS, S3, PowerBI, GDPR, CDISC, SDTM, ADaM, SAS, MachineLearning, AI, LLM 🏢 Description: Data Analyst within Study Patient Operations About the project We are looking for a Data Analyst in collaboration with a global, science‑driven biopharmaceutical company that uses data and advanced analytics to accelerate the development of innovative therapies. As a Data Analyst in Study Patient Operations, you will transform diverse clinical study data into reliable, analysis‑ready datasets and support cross‑study standardisation and reusability. This role is ideal for someone who thrives in ambiguity, shows strong analytical curiosity, and proactively proposes structured solutions even with incomplete information. Work mode: hybrid — based in Warsaw, with one day per week on-site at the client’s office . Tasks Cross‑study data standardisation: Standardise and harmonise data from multiple studies with varying conventions to enable consistent cross‑study analysis. Pattern and anomaly detection: Identify patterns, discrepancies, anomalies, and structural differences across datasets and convert them into actionable mapping rules and validation checks. FAIR data improvement: Strengthen metadata, lineage, definitions, and data quality to enhance data accessibility and reusability, even when documentation is incomplete. Problem framing & stakeholder collaboration: Translate broad or ambiguous business questions into clear data requirements, analytical approaches, and defined pipeline outputs. Data wrangling & transformation: Extract, join, transform, and reconcile datasets using Python, SQL, and AWS‑based tools to support downstream analysis. Compliance, documentation & insight communication: Ensure GDPR‑aligned data handling, maintain audit‑ready documentation, and clearly communicate insights, limitations, and assumptions. Expectations Strong analytical problem‑solving skills in ambiguous contexts and ability to iterate toward clarity. Learning agility , with motivation to quickly understand new domains and clinical data standards. Standardisation mindset , with experience proposing consistent mappings across heterogeneous datasets. Pattern recognition ability across multiple datasets/studies. Proficiency in Python and SQL for analysis, validation, and reproducible workflows. Experience with AWS environments , especially S3 and analytical/querying tools. Data visualisation skills (Power BI or similar). Excellent communication and documentation abilities , especially explaining “what the data means.” Fluent in English (spoken and written) Beneficial Skills Familiarity with clinical trial standards (e.g., CDISC SDTM, ADaM ). Experience with SAS-formatted clinical datasets . Understanding of clinical study processes , privacy/consent principles, and patient data handling. Exposure to machine learning / AI / agentic tools . Interest or experience in LLM-based tooling , especially for metadata, documentation, or analytics workflows. We offer Ongoing support from a dedicated agent , taking care of your project continuity, client contact, necessary formalities, work comfort and development, Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors, Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle, Spectacular integration events , both for you (e.g., annual Kick-Off trip , Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres), Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients, Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years, A complete benefits package , including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad. About 7N Constantly searching for projects, difficult rate negotiations, lack of development support – sounds familiar? At 7N, you gain not only stability of contracts but also the personal involvement of a dedicated agent who ensures your professional comfort and continuous access to development initiatives. Our mission is to provide stable and rewarding collaborations that drive your success as an IT expert and the success of our clients. We build long-lasting relationships based on Scandinavian values and 30 years of experience creating IT solutions for over 200 organizations.