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June 27, 2026
Associate Director, Regulatory Affairs (Global Regulatory Advertising and Promotion)
Senior • On-site
180,000 - 200,000 USD/yr
Los Angeles, CA
Arrowhead Pharmaceuticals, Inc. is a commercial stage biopharmaceutical company developing RNAi-based therapeutics that silence disease-causing genes. The Associate Director of Regulatory Affairs, Advertising and Promotion (Ad Promo) partners cross-functionally with Marketing, Medical, Legal, Market Access, and Corporate Communications to ensure promotional and medical materials comply with regulatory requirements while supporting business objectives.
The ideal candidate is a collaborative, solutions-oriented regulatory professional with strong communication and organizational skills, experienced in leading US promotional review committees (MLR) and overseeing vendors providing promotional material review (PMR) services internationally. Experience supporting product launches is preferred.
Responsibilities
- Provide regulatory review and strategic guidance for promotional (branded and disease state) and medical communications for US prescription drug products across multiple channels, including digital, social media, websites, emails, print, speaker programs, video testimonials, scientific congresses, and field communications.
- Participate as a core member of MLR meetings and provide clear, practical, and risk-based regulatory recommendations.
- Advise cross-functional teams on promotional strategy, claims development, fair balance, substantiation requirements, and risk mitigation.
- Manage submissions to FDA Office of Prescription Drug Promotion (OPDP) and Advertising and Promotion Labeling Branch (APLB), including timely and accurate FDA 2253 submissions.
- Support review and approval of corporate and external communications.
- Monitor and interpret FDA enforcement trends, OPDP untitled/warning letters, and industry developments.
- Support launch readiness activities.
- Contribute to development and improvement of internal policies, SOPs, guidance documents, and review standards.
- Collaborate across functions to support compliant material development and approvals.
- Provide mentorship to junior regulatory staff or consultants.
- Participate in cross-functional initiatives related to process optimization, digital innovation, and operational excellence.
Requirements
- Bachelor's degree required; degree in life sciences, pharmacy, regulatory affairs, or related scientific discipline preferred.
- 7+ years of experience in Regulatory Affairs Advertising & Promotion within the pharmaceutical or biotechnology industry.
- Direct experience leading or reviewing US prescription drug promotional materials.
- Strong working knowledge of FDA-OPDP regulations, enforcement trends, and MLR processes.
- Working knowledge of PMR requirements in other countries.
- Familiarity with Veeva PromoMats or similar review systems.
- Candidates must have current, valid authorization to work in the country where this role is located.
Preferred
- Product launch experience.
- Experience supporting specialty, rare disease, oncology, or complex therapeutic areas.
- Global promotional regulatory experience.
- Experience working in fast-paced or emerging biotech environments.
Arrowhead provides competitive salaries and an excellent benefit package.
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🏢 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.
Technology
New offer

Avalo Therapeutics
Director Data Management
Senior
On-site
Philadelphia, PA
🏢 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).
Technology

Axle Informatics
Bioinformatics Scientist
Senior
On-site
Research Triangle Park, NC
🏢 Summary: The Bioinformatics Scientist role supports NIH research by independently designing and implementing advanced computational analyses for high-dimensional omics data. The position focuses on statistical genomics, machine learning, and multi-omics integration to generate biologically meaningful insights. The scientist develops scalable pipelines, custom software, and reproducible workflows while collaborating with interdisciplinary research teams. 🗂️ Requirements: Ph.D. in Bioinformatics, Computational Biology, Genomics, Data Science, Biostatistics, Computer Science, Biomedical Engineering or related quantitative field (Master’s with relevant experience acceptable), Minimum three years of relevant research experience, Experience in machine learning or advanced statistical modeling for high-dimensional biological data, Expertise in next-generation sequencing data analysis, Experience with multi-omics data integration, Proficiency in programming for bioinformatics analysis, Experience developing and maintaining analytical pipelines, Ability to work with large-scale datasets, Experience establishing reproducible workflows and documentation practices 📃 Skills: R, Python, MATLAB, Linux, Unix, Java, Shell, Perl, Bash, SAS, Git, Docker, Singularity, Apptainer, HPC, RNA-Seq, ChIP-Seq, miRNA-Seq, GWAS, Microarray, MachineLearning, DeepLearning, Multiomics, Statistics, Genomics, Transcriptomics, Epigenomics, Proteomics, DataVisualization, WorkflowManagement, Cloud 🏢 Description: Axle is seeking a Bioinformatics Scientist to support research activities at the National Institutes of Health (NIH) in Research Triangle Park, NC. Benefits We Offer: - 100% Medical, Dental & Vision Coverage for Employees - Paid Time Off and Paid Holidays - 401K match up to 5% - Educational Benefits for Career Growth - Employee Referral Bonus - Flexible Spending Accounts: - Healthcare (FSA) - Parking Reimbursement Account (PRK) - Dependent Care Assistant Program (DCAP) - Transportation Reimbursement Account (TRN) Position Information: This position independently provides bioinformatics and data science support to advance the institute's operational and research objectives. The role requires expertise in statistical genomics, machine learning, and scalable analysis and integration of high-dimensional omics data, applying AI-driven methods to generate biologically meaningful insights. Additional Qualifications: - Ph.D. preferred (or Master's) in Bioinformatics, Computational Biology, Genomics, Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a closely related quantitative field - Three years of experience in a relevant discipline - Demonstrated training or experience in machine learning, artificial intelligence, or advanced statistical modeling applied to high-dimensional biological data Software: - R - Python - MATLAB - Linux - Unix - Java - Shell - PERL - Bash - SAS - HPC - Git - Docker / Singularity / Apptainer - Workflow management tools Core Technical Areas: - Next-generation sequencing data analysis (Bulk RNA-Sequencing, Single Cell RNA-Sequencing) - Genome-wide association studies - Microarray data analysis - Multi-omics analysis and integration - Pipeline development - Machine learning and deep learning - Representation learning for omics data - Cloud platforms - Reproducible research practices - Data visualization Deliverables and Responsibilities: - Design analytical strategies and resolve scientific or technical challenges - Analyze and interpret high-throughput biological data - Develop and maintain custom analytical software, scripts, and computational pipelines - Establish reproducible workflows and standard operating procedures (SOPs) - Optimize analytical pipelines for multi-omics datasets - Perform preprocessing, quality control, integration, clustering, and differential expression analysis of single-cell datasets - Conduct analyses on NextGen sequencing data including ChIP-Seq, RNA-Seq, miRNA-Seq and related platforms - Perform genomic platform analysis including expression, exon, tiling, and promoter arrays - Apply machine learning approaches to integrate large-scale, complex multi-omic data - Develop computational infrastructure resources for large and complex datasets - Provide statistical support and devise novel analytical methods - Prepare scientific reports, publication-quality figures, and manuscripts - Present findings at meetings, seminars, and conferences - Train staff and provide technical support for bioinformatics tools and pipelines - Collaborate with interdisciplinary teams to design experiments and interpret results - Maintain detailed documentation and reproducible data analysis practices