Senior RWE Analytics Scientist

Sanofi Group; 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

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