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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing scalable analytical products and automation solutions, leveraging advanced statistical and machine learning techniques. Proven ability to translate complex scientific and business requirements into actionable insights and operational capabilities within regulated environments.
Highest-signal resume keywords
Advanced Statistical TechniquesMachine LearningPython ProficiencyAI Adoption StrategyProduction-Grade Analytical Applications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisData Products DevelopmentAnalytical MethodologiesAutomation SolutionsDecision-Support ToolsSimulation TechniquesGenerative AI EvaluationSoftware SpecificationsClinical Development WorkflowsCross-Functional Initiative Leadership
Soft Skills
Stakeholder EngagementMentoring Technical TalentChange ManagementCollaborationContinuous Improvement
Tools & Technologies
PythonRSASSQLCloud TechnologiesData EcosystemsModern Data Platforms
Certifications & Qualifications
Bachelor's Degree in Data ScienceAdvanced Degree (MS, PhD) Preferred
Industry Keywords
PharmaceuticalBiotechnologyHealthcareGxP-Regulated EnvironmentsRegulated Industries
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Transform complex scientific, statistical, and operational challenges into scalable analytical products, automation solutions, and decision-support capabilities
- Apply advanced statistical, machine learning, simulation, and analytical techniques to complex statistical, commercial, clinical, and business challenges
- Partner across departments to identify opportunities for advanced analytics
- Develop reusable analytical methodologies and frameworks across studies and programs
- Identify and evaluate generative AI, advanced analytics, and automation opportunities
- Lead experimentation and prototyping of emerging technologies
- Promote responsible, compliant, and effective adoption of AI-enabled capabilities across BDS
- Translate scientific, regulatory, operational, and technical requirements into product roadmaps, software specifications, and implementation plans
- Improve the speed, quality, and reproducibility of biometrics and clinical development workflows
- Collaborate with functional leaders to redesign business processes and operating models
- Establish metrics and value-realization frameworks for analytical and automation initiatives
- Drive adoption of new tools and workflows through stakeholder engagement, training, and change management
- Serve as a trusted advisor on analytical strategy, AI adoption, and automation opportunities
- Mentor and develop technical talent within the Applied Intelligence organization
- Foster scientific rigor, innovation, experimentation, and continuous improvement
Requirements
What you’ll need- Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Informatics, Life Sciences, or a related discipline required
- 5–8 years of relevant experience developing analytical solutions, scientific computing applications, or data products within pharmaceutical, biotechnology, healthcare, or other regulated industries
- Demonstrated success translating scientific or business requirements into scalable software, analytical products, or operational capabilities
- Experience leading cross-functional initiatives involving analytics, technology, and business stakeholders
- Experience deploying production-grade analytical applications, decision-support tools, or automation solutions
- Strong understanding of AI, machine learning, analytics, automation, and modern data platforms
- Proficiency with Python, R, SAS, SQL, or equivalent technologies
- Familiarity with cloud, data, and technology ecosystems used to support advanced analytics and intelligent systems
- Advanced degree (MS, PhD, or equivalent) preferred
- Experience working in GxP-regulated or highly governed environments preferred
Benefits
Comp & perks- Equity / meaningful ownership
- Workplace flexibility
- Flexible time off
- Competitive benefits package