Instagram
youtube
Facebook

Rwe Data Analyst Expert

7 years
Not Disclosed
10 Sept. 4, 2025
Job Description
Job Type: Full Time Education: B.Sc/ M.Sc/ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: [Insert Role Title]

About the Role

As part of Sanofi, you will use your expertise in statistics, analytics, data management, and computational skills to execute analyses of pre-existing data and generate meaningful insights. You will collaborate across GenMed, Medical Affairs, Business Operations & Strategy (BO&S), Commercial Product Teams, and the RWE group in the Chief Digital Office. This role requires strong knowledge of statistics, observational research design, statistical programming, and pharmaceutical industry experience.


Key Responsibilities

People

  • Collaborate with colleagues from GenMed, Medical Affairs, BO&S, and Commercial Product Teams to execute analyses of pre-existing data.

  • Work with SGz functions and the RWE group to maintain Sanofi’s data assets.

  • Partner with team members, providing support and guidance when needed.

  • Mentor and guide new joiners in the team.

Performance

  • Independently conduct Conventional Projects that support key internal decision-making, including:

    • Characterizing disease epidemiology using diagnostic and/or treatment codes.

    • Assessing study feasibility based on available patient populations.

    • Performing descriptive cohort analyses with limited outcomes.

  • Develop a deep understanding of Sanofi’s digital tools and platforms.

  • Apply statistical, analytical, and computational expertise to execute data analyses.

  • Maintain Sanofi’s data assets via primary data collection, secondary data licenses, and de-identified clinical trial data.

  • Serve as a Subject Matter Expert (SME) for RWE analytics.

Customer

  • Deliver accurate and timely outputs.

  • Be highly responsive to end-user needs and requests.

Process

  • Manage and prioritize all requests received through the centralized mailbox based on business needs.


About You

Experience

  • 7+ years of relevant experience.

  • Proven experience analyzing multiple sources of secondary patient data (e.g., EMRs, administrative claims).

  • Hands-on experience with business intelligence tools (Qlik, Tableau, MicroStrategy) and integration with data technologies.

  • Exposure to RWE platforms such as AETION, PANALGO.

Soft Skills

  • Strong communication and ability to challenge conventional thinking constructively.

  • Proven collaboration and teamwork skills.

  • Ability to provide rapid response analytics.

  • High energy, responsiveness, and strong stakeholder focus.

  • Excellent written and verbal communication skills.

Technical Skills

  • Proficiency in R, SAS, Python, and/or PySpark.

Education

  • BA/BS + 7 years of relevant experience
    OR

  • MS/PhD + 5 years of relevant experience

  • Academic background in mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field.

Languages

  • Excellent command of English (spoken and written).


Why Join Us

At Sanofi, you will step into a new era of science, where your growth is as transformative as the work you do. We invest in your development so you can think faster, reach further, and break new ground. Together, we will push boundaries, challenge conventions, and deliver smarter solutions that improve lives worldwide.

Pursue Progress. Discover Extraordinary.


Diversity & Inclusion

Sanofi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other protected characteristics.