RWE Analytics Specialist

(0207) Sanofi US Services Inc.; Cambridge (MA); On-site; USD 149,000 - 215,000; Full time

Job summary

Sanofi Cambridge, MA seeks an experienced RWE Analytics Specialist to provide programming support and senior oversight for analyses in large databases, collaborating with HEVA, medical affairs, and strategy teams. The role requires strong data science, statistics, and programming background, plus experience guiding junior team members.

The candidate will lead observational analyses, develop algorithms for oncology or related fields, apply regression and time-to-event methods, and report results

Qualifications

• Experience with statistical programming and observational research methods.
• Experience analyzing multiple secondary data sources (claims, EHR).
• Experience guiding junior team members through analyses.

Responsibilities

• Assess study feasibility across diverse data sources.
• Propose and conduct exploratory analyses to understand data sources.
• Analyze data per definitions using traditional programming or digital tools
• Characterize disease epidemiology and burden using descriptive and comparative designs
• Review literature for methods and validated algorithms
• Create statistical analysis plans and table shells from protocols
• Analyze data and develop algorithms (e.g., lines of therapy)
• Apply regression and time-to-event analyses
• Report results in study tables, dashboards or slides
• Communicate results to stakeholders

Skills

R

Python

SQL

Education

BA/BS + 5 years experience OR MS/PhD + 4 years experience

Job description

Job Title: RWE Analytics Specialist Location: Cambridge, MA

About the Job The successful RWE Analytics Specialist will provide programming support and Senior oversight to implementation of analyses and studies in large databases (e.g. administrative claims, electronic health records). The individual in this role will work in close collaboration with health economics and value assessment (HEVA), medical affairs, business operations & strategy (BO&S) and commercial product teams to understand research questions and translate those into actionable items for the analytics team. These responsibilities require a strong background in data sciences, including statistics and programming. Experience leading studies and analyses that use observational research design and secondary data, experience with secondary data sources such as administrative claims and electronic health records in the US and experience in the pharmaceutical industry are required. Experience guiding more junior team members through the implementation of analyses is a must. This position will report to the RWE Analytics Lead, Evidence for Access. Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs. About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve lives

Main Responsibilities

• Assess study feasibility in a variety of data sources available for analysis, including new or less familiar data
• Propose and conduct exploratory analyses that allow deep understanding of a data source at hand (e.g., ability to generate insights and visualize output that allows researchers to make decisions about study feasibility and study design)
• Analyze data based on provided definitions using traditional programming or other digital applications
• Characterizing disease epidemiology, burden of disease, rates of pre-specified outcomes based on diagnostic codes and/or treatment codes using descriptive and comparative study designs
• Review relevant literature for methods, lists of codes or validated algorithms
• Create statistical analyses plans and table shells from study protocols
• Analyze data using traditional programming or other digital applications
• Develop algorithms, such as lines of therapy for oncology
• Apply traditional modeling approaches, including regression and time to event analyses
• Report results in form of study tables, dashboards or slide deck
• Communicate results to stakeholders

About You

Basic Qualifications

BA/BS + 5 years of relevant experience OR MS/PhD + 4 years of relevant experience, Academic training in the areas of mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field

Required Experience

Experience programming in R, Python, and SQL Working knowledge of statistical methods Experience applying epidemiological methods Experience analyzing multiple sources of secondary patient data (e.g., electronic medical records, administrative claims)

Required Skills

Expertise with R, Python, and/or SQL Excellent written and verbal communication skills, collaboration and interpersonal skills Ability to communicate technical details to non-expert audiences

Why choose us?

Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

Sanofi US Services and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

The salary range for this position is: $148.500,00 - $214.500,00 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

We are an R&D driven, AI-powered biopharma company committed to improving people’s lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people’s lives. We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world. Discover more about us visiting www.sanofi.com or via our movie We are Sanofi Start a career that makes a difference. Reinvention is in our DNA. It’s what drove our evolution from a small French enterprise to one of the world’s leading biopharma companies. Whether it’s using AI to shorten drug-discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities. This is where you grow your career.