Job Description

Who we are
Together, we're on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It's a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world's leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization's Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we're always looking for new ways to continue making a difference, and new people to make a difference with.
The opportunity
We are seeking a technically strong and motivated Senior Manager, Real World Data (RWD) Analytics to lead the execution of programming deliverables across a variety of clinical data sources. This individual will be responsible for delivering high-quality analytical outputs in alignment with real world evidence (RWE) study protocols, and statistical analysis plans. The role will play a critical part in supporting RWD projects by leveraging cutting-edge analytical tools and methods, enabling robust big data transformation, analysis, and reporting in collaboration with statisticians and study teams globally.
How you'll spend your day

• Lead the development and execution of programming deliverables using RWD sources (e.g., claims, EHR, registry) to support RWE studies and analyses.
• Partner with RWE statisticians and cross-functional study teams to align on analytical strategy and timelines, translate statistical analysis plans and protocols into efficient and reproducible analytical programs.
• Ensure compliance with internal standards, best practices, and regulatory requirements
• Support group head to recruit and build a team of RWD analysts based in India.
• Establish robust onboarding and training processes, documentation practices, and foster a continuous learning culture.
• Stay abreast of evolving big data analytical technology, with emphasis on advanced analytical tools and methods, AI/ML, process improvement and automation.

Your experience and qualifications

• Master's degree or higher in Statistics, Biostatistics, Data Science, or a related quantitative field.
• Minimum 8 years of hands-on experience in programming and analytics in a pharmaceutical or healthcare research setting.
• Proven experience with RWD sources including claims, EMRs, and/or registry data.
• Prior experience managing or mentoring technical teams is preferred.

Teva's Equal Employment Opportunity Commitment
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.