Project Lead Rwe Analytics

7-10 years

Not Disclosed

Hyderabad

10 Nov. 7, 2024

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

Project Lead – RWE Data Analytics

Location: Hyderabad, India
Job Type: Permanent, Full-Time
Travel: As per business need

About Us

Sanofi Business Operations (SBO) is an internal Sanofi resource hub in India, designed to centralize and streamline processes to support Sanofi’s global functions including Specialty Care, Vaccines, General Medicines, CHC, CMO, R&D, and Data & Digital. SBO aims to be a strategic partner for functional and tactical delivery across Medical, HEVA, and Commercial teams worldwide.

We are looking for an experienced Project Lead – RWE Data Analytics to join our growing Real-World Evidence (RWE) team. This role provides a unique opportunity for a data scientist or epidemiologist to contribute to innovative RWE studies in cardiovascular (CV) disease and diabetes. You will be responsible for leading data-driven projects that generate impactful insights and support evidence generation across Sanofi's global portfolio.

Main Responsibilities

As Project Lead – RWE Data Analytics, you will drive the growth of RWE capabilities for Sanofi’s General Medicines portfolio. Your primary tasks will include:

Project Leadership & Data Analytics

Lead RWE Projects: Oversee the conceptualization, design, and execution of RWE analytical projects across therapeutic areas like CV disease and diabetes.
Healthcare Data Analysis: Lead analysis using diverse healthcare datasets (e.g., EHR, claims data, RCTs) to generate insights through statistical techniques like data modeling, time-to-event analysis, and other advanced analytics.
Cross-Functional Collaboration: Partner closely with Medical, Market Access, HEOR, and Commercial teams to deliver actionable insights that maximize the value of Sanofi’s assets.
Rapid Response Analyses: Provide timely and accurate analyses to support business needs and decision-making across internal stakeholders.
Study Reporting & Dissemination: Lead the drafting of technical reports, study manuscripts for peer-reviewed journals, and presentations for international conferences.
External Collaboration: Represent Sanofi’s RWE team at external meetings, maintaining relationships with academic institutions, governments, and external research partners.

Data Management & Strategy

Ensure Data Access & Integrity: Validate and secure access to third-party healthcare datasets, ensuring data quality and compliance.
Strategic Direction: Contribute to the RWE strategic direction, providing data insights and recommendations that inform key business decisions for the General Medicines portfolio.
Project Oversight: Manage project timelines and activity, ensuring projects are delivered on time, within scope, and with high quality.

About You

We are seeking an analytical, results-driven professional with expertise in healthcare data analytics and real-world evidence generation. If you have a passion for data science, epidemiology, and impactful research, this is an exciting opportunity to make a significant contribution to global healthcare.

Experience

7-10 years in the public health, biotechnology, or pharmaceutical industry with a strong background in healthcare data analysis and RWE studies.
Extensive experience analyzing and managing large healthcare datasets (e.g., EHR, claims, RCTs) and applying statistical methods (e.g., time-to-event analysis, data modeling).
Proven ability to lead cross-functional projects, collaborate with global teams, and present complex findings to diverse audiences.

Skills & Competencies

Data Science & Analytics Expertise: Strong proficiency in R, Python, SQL, and SAS, with advanced Microsoft Excel skills (VBA).
Excellent Communication: Ability to convey complex data analyses and results to non-technical stakeholders, including health economists, clinicians, and policy makers.
Cross-Functional Collaboration: Experience working across teams and functions, with the ability to manage multiple projects and stakeholders simultaneously.
Creative Problem-Solving: Strong problem-solving and critical thinking abilities, with a focus on delivering practical, actionable insights.
Self-Starter: Ability to work independently, manage deadlines, and adapt to changing project requirements.

Education

Master’s or PhD in a quantitative field (e.g., data science, statistics, epidemiology, biostatistics, computer science) or a related discipline.

Languages

Fluent in English (spoken and written).

Why Choose Sanofi?

At Sanofi, we’re driven by the desire to pursue progress and discover extraordinary in everything we do. Joining our team means you’ll be part of a diverse, innovative, and supportive work environment where your contributions will help shape the future of healthcare globally.

What We Offer:

Career Growth: A world of opportunities to enhance your skills and advance your career in a global biopharma company.
Competitive Compensation: A comprehensive package that recognizes your contributions and amplifies your impact.
Global Impact: Be part of a company that’s committed to improving health outcomes worldwide.