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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in Medical Intelligence and Data Strategy, with a strong focus on predictive analytics, AI/ML applications, and real-world evidence integration. Proven ability to lead cross-functional teams and communicate complex data insights effectively to diverse stakeholders.
Highest-signal resume keywords
Medical Affairs ExperienceData Strategy LeadershipAI/ML Applications in HealthcareReal-World Evidence ExpertiseProgram Management Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive AnalyticsNatural Language ProcessingData Strategy DevelopmentMedical Information SystemsHealthcare AnalyticsReal-World Evidence PlatformsData Governance FrameworksKPI Framework DesignAlgorithmic TransparencyQuality Benchmarking
Soft Skills
Excellent Communication SkillsInterpersonal SkillsInfluencing Cross-Functional TeamsStrategic Narrative DevelopmentComplex Data Presentation
Tools & Technologies
Medical Intelligence PlatformsDigital Health Data StreamsAI/ML ToolsData Architecture SolutionsPharmaceutical Data Platforms
Certifications & Qualifications
MDPhDPharmDMaster's in Data ScienceMaster's in BiostatisticsMaster's in Health Informatics
Industry Keywords
Pharmaceutical Data EcosystemEHR IntegrationClaims DataHealthcare RegulationsPrivacy Standards
About the role
Key responsibilities & impact- Define and own the Medical Intelligence roadmap, shifting Medical Affairs from reporting data to predictive strategy
- Forecast medical trends, anticipate unmet needs, and enable forward-looking decision-making across GBUs
- Build and lead the Data Strategy framework connecting clinical evidence, real-world data, field insights, and digital health data streams
- Champion Medical Plai and predictive analytics platforms, overseeing design, testing, and integration into Medical Affairs workflows
- Own and evolve the Medical Care Gaps identification and analysis framework
- Lead development and optimization of MedIS capabilities
- Develop and maintain a strategic roadmap for Medical data and analytics capabilities
- Scout emerging data science and AI/ML capabilities and test medical intelligence use cases
- Collaborate with Digital and the Global Head of Medical Innovation to select and validate AI/ML use cases
- Design proof-of-concept initiatives with KPI frameworks and governance checkpoints
- Partner with peer Global Leads to integrate medical intelligence insights across innovation initiatives
- Integrate Medical Intelligence outputs into Medical Planning, Care Gap prioritization, and evidence-generation strategies
- Serve as an embedded intelligence partner to Medical GBUs and participate in GBU leadership meetings
- Translate complex data science and predictive analytics concepts into strategic narratives for senior leadership
- Represent Medical Intelligence in the Medical Innovation Council and contribute to DAI governance decisions
- Champion data literacy within Medical Affairs
- Collaborate with Digital AI teams on data architecture and vendor builds
- Ensure data strategies, predictive models, and intelligence platforms comply with healthcare regulations, privacy standards, and ethical AI principles
- Develop governance frameworks for data use, model validation, algorithmic transparency, and quality benchmarking
- Monitor evolving AI, real-world data, and data-governance regulations and standards
Requirements
What you’ll need- 10+ years of experience in Medical Affairs, Data Strategy, Real-World Evidence, Healthcare Analytics, or a related field within a pharmaceutical or healthcare organization
- Advanced scientific, medical, or quantitative degree (MD, PhD, PharmD, or Master's in Data Science, Biostatistics, Health Informatics, or equivalent) strongly preferred
- Demonstrated experience with AI/ML applications in healthcare, including predictive analytics, natural language processing (NLP), or real-world evidence platforms
- Proven track record of designing or leading data strategy or medical intelligence programs in global, matrixed environments
- Experience with Medical Information Systems and/or pharmaceutical data platforms strongly preferred
- Excellent communication and interpersonal skills; ability to present complex analytical concepts clearly to non-technical medical and business audiences
- Ability to build strategic narratives from complex, multi-source data environments
- Ability to influence cross-functional teams and drive alignment on data strategy without direct authority
- Strong program management skills with experience leading global analytics or data strategy initiatives in matrixed environments
- Deep understanding of the pharmaceutical data ecosystem, including real-world evidence, claims data, EHR integration, and digital health data streams
- Demonstrated track record of turning insights into action
- Approximately 20–25% travel to collaborate with GBU teams, Digital partners, and external stakeholders
Benefits
Comp & perks- Supportive, future-focused team
- Opportunities for career growth through promotion or lateral moves, at home or internationally
- Rewards package recognizing contribution
- Health and wellbeing benefits
- High-quality healthcare
- Prevention and wellness programs
- At least 14 weeks' gender-neutral parental leave
- Patient insights incorporated into drug-development studies
- Opportunities to work with cutting-edge AI, data, and digital platforms
- Equal Opportunity and Affirmative Action employer