Sr Manager, Data Scientist, Technical Developoment

Quick Facts

Role: Senior Manager, Data Scientist, Technical Development.

Description

Lead applied analytics, statistical modeling, ML/AI, and automation use cases that advance scientific insight and support priority decisions across Technical Development. Partner with TechDev scientists, Digital Solutions, IT/platform teams, Quality, and other stakeholders to frame scientific questions, prototype and validate analytical approaches, and develop reusable, workflow-integrated decision-support capabilities. Early focus areas may include predictive modeling, LLM/GenAI-enabled knowledge management and automation, image-based or process-data modeling, stability analytics, scheduling/workflow optimization, and participation in broader enterprise AI initiatives.

Responsibilities

• Lead the identification, prioritization, and evaluation of high-value data science, AI, and analytics opportunities across Technical Development, balancing scientific impact, feasibility, scalability, and organizational priorities.
• Partner with TechDev scientists to prototype, test, interpret, and iterate analytical approaches in real development workflows.
• Translate scientific and operational questions into clear analytical problem statements, including intended use, assumptions, data needs, success measures, and decision impact.
• Lead cross-functional initiatives and influence scientific, digital, and technology stakeholders to align on analytical strategies, platform capabilities, data standards, and adoption approaches.
• Design and advance scientific knowledge management capabilities, including structured knowledge assets, ontologies, knowledge graphs, retrieval systems, and GenAI-enabled scientific discovery and decision-support solutions.
• Define and implement evaluation frameworks for analytical and AI-enabled solutions, including performance measurement, validation, robustness, explainability, and adoption metrics to ensure trusted scientific use.
• Build and promote reuse of analytical assets across priority TechDev use cases and initiatives (e.g., statistical and ML/AI models, standardized datasets and features, dashboards, automation scripts, workflow patterns, code, data definitions, and analytical methods).
• Work with Digital Solutions, IT/platform teams, and other partners to move suitable analytics from exploratory work toward scalable, supportable products and workflows.
• Contribute to enterprise LLM/GenAI and data-driven solution areas in line with Responsible AI, data governance, quality, and documentation expectations.

Requirements

• BA/BS with 10+ years of relevant experience; MA/MS with 8+ years of relevant experience; or PhD with 2+ years of relevant experience in data science, statistics, computational science, engineering, informatics, or a related quantitative field.
• Multiple years of applied data science experience, including work using statistical modeling, machine learning, AI, automation, data engineering, visualization, knowledge management, or decision-support analytics.
• Strong programming skills in Python, R, or similar languages, with demonstrated ability to develop reproducible analytical workflows, reusable code, and fit-for-purpose documentation.
• Experience translating scientific or operational questions into analytical strategies, data requirements, modeling or retrieval approaches, evaluation plans, and interpretable outputs for business or scientific decision-making.
• Working knowledge of data quality, metadata, identifiers, controlled vocabularies, ontologies, knowledge graphs, data governance, scalable data pipelines, and technical infrastructure concepts relevant to reliable analytical delivery.
• Experience with methods or solution areas relevant to TechDev, such as stability modeling, image-based analytics, clone ranking or screening models, process or assay analytics, knowledge management, or scientific workflow automation.
• Effective communication and stakeholder partnership skills, including the ability to align scientific, digital, and technology stakeholders around analytical strategies, assumptions, limitations, and adoption approaches.

Benefits

• Salary range: $182,070.00 - $235,620.00.
• May be eligible for a discretionary annual bonus and discretionary stock-based long-term incentives (eligibility varies by role).
• Paid time off and benefits package including company-sponsored medical, dental, vision, and life insurance plans.