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Posted: 10/21/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics and data science within the pharma and healthcare sectors, utilizing advanced statistics, AI, machine learning, and NLP to drive commercial insights and recommendations. Proficient in stakeholder management and data storytelling, effectively translating complex analyses into actionable strategies for marketing teams.
Highest-signal resume keywords
Advanced StatisticsAI/Machine Learning/NLPPython/R/SAS/SQL ProficiencyHealthcare Data AnalysisStakeholder Management
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Serve as a key analytics partner to US and global marketing, aligning analyses and insights to brand and portfolio priorities/OKRs
- Work with business stakeholders to understand key questions, clarify objectives, and translate them into analytical use cases
- Ensure timely, compliant, high-quality delivery of analyses and keep clients updated on progress
- Enable prioritization and scoping conversations by assessing business demand, requests, and potential use cases
- Analyze claims, EMR/EHR, CDC, IQVIA, digital, and CRM data to generate actionable commercial insights and recommendations
- Propose analytical approaches and AI/ML/NLP/modeling techniques, including methods and trade-offs
- Collaborate with data scientists, engineers, and on-shore and off-shore DHH teams to deliver solutions
- Support design, development, and refinement of AI/ML and NLP solutions, including Agentic AI
- Synthesize findings into concise stories and visualizations and present insights for data-driven decisions
- Monitor vaccine market dynamics and advances in analytics, AI, and machine learning
- Support US and global influenza marketing teams with commercial insights, analytics, and data science for a to-be-launched influenza prophylactic product
Requirements
What you’ll need- BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, or Public Health is required
- 5+ years of analytics or data science experience in pharma/biotech/healthcare
- Proven track record applying advanced statistics, AI, machine learning, NLP, and Agentic AI to commercial business problems
- Proficiency in Python, R studio, SAS, SQL, or similar tools for data extraction, feature engineering, and model development
- Strong experience with patient-level and healthcare data, including claims, EMR/EHR, registry, CDC, IQVIA, and other secondary sources
- Ability to translate business needs into structured analytical questions and data-driven recommendations
- Experience supporting products across development, launch, growth, maturity, and end of life
- Strong communication and data storytelling skills, including presenting complex findings to senior and non-technical audiences
- Stakeholder management and influence skills within a matrixed, cross-functional environment
- Project and time management capabilities, including leading multiple concurrent analytics initiatives and teams
- Self-directed, adaptable, curious, and forward-thinking mindset toward AI adoption, advanced analytics, and evolving healthcare data
- Ability to connect technical partners across cross-functional DHH teams
- Prior healthcare data experience, especially EMR/EHR, claims data, and IQVIA offerings preferred
- Vaccines business knowledge preferred
- Knowledge of global life sciences analytics, ex-US datasets, market research, forecasting support, desk research triangulation, advanced analytics, global market analogs, and competitive intelligence preferred
- Must be able to work in the office at least 3 days per week
- No visa sponsorship
- 10% travel required
Benefits
Comp & perks- Annual bonus and long-term incentive, if applicable
- Medical, dental, vision healthcare and other insurance benefits for employee and family
- Retirement benefits, including 401(k)
- Paid holidays
- Vacation
- Compassionate and sick days
- Hybrid work arrangements
- Relocation not provided
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAdvanced StatisticsAIMachine LearningNLPData AnalysisFeature EngineeringModel DevelopmentData ExtractionCommercial Insights
Soft Skills
CommunicationData StorytellingProject ManagementAdaptabilityCuriosity
Tools & Technologies
PythonR StudioSASSQLEMR/EHR SystemsIQVIACDC DataCRM SystemsAgentic AIData Visualization Tools
Industry Keywords
PharmaBiotechHealthcareVaccinesMarket ResearchForecastingGlobal Life Sciences AnalyticsPatient-Level DataCommercial Business ProblemsCross-Functional Collaboration