Senior Manager, RWE Statistics & Data Science
About this opportunity
We Are Teva
We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.
Our Team, Your Impact
The Senior Manager, Real-World Evidence (RWE) Statistics & Data Science partners with cross-functional stakeholders to support the development and lifecycle management of Teva's innovative products. The successful candidate will provide statistical leadership for the design and analysis of observational research utilizing real-world data (RWD), drive the application of advanced analytical approaches, and translate complex data into actionable insights that support regulatory, medical, market access, and business decisions.
How You’ll Spend Your Day
Serve as the RWE Statistics lead for assigned programs and participate in relevant internal meetings supporting evidence generation planning and development.
Provide statistical input into the design and execution of observational studies. Develop or review statistical analysis plans (SAPs), synopsis, study protocols, and analysis specifications.
Partner with program teams to evaluate RWD sources, conduct exploratory analyses to identify fit-for-purpose data, and generate insights to inform decision-making.
Lead the statistical design, oversee the execution, review and interpret results of internal RWD analyses.
Apply advanced statistical methodologies, and AI/ML-based analytical approaches.
Clearly communicate statistical concepts and results to both technical and non-technical audiences.
Contribute to functional initiatives for capability development, AI adoption, and
Your Skills and Experience
PhD (with 2+ years of experience) or MS (with 4+ years of experience) in Biostatistics, Statistics, or a related quantitative field.
Proficiency in R, SAS, and/or Python.
Demonstrated expertise working with large RWD databases, including claims, EHR, registries, and survey data.
Experience with observational study design and analysis.
Strong understanding of methods to control confounding and minimize bias in observational studies.
Also Good to Have
Experience with advanced statistical methods, machine learning, AI, and advanced analytics applications using RWD.
Experience interacting with external collaborators, vendors, payers, or regulators.
Effective written and verbal communication skills.
Strong project and stakeholder management skills, with the ability to manage multiple priorities.
Salary Range
The annual starting salary for this position is between $133,600 – 167,000 annually. Factors which may affect starting salary within this range and level of role may include geography/market, skills, education, experience and other qualifications of the successful candidate.
How We’ll Take Care of You
We offer a competitive benefits package, including:
• Comprehensive Health Insurance: Medical, Dental, Vision, and Prescription coverage starting on the first day of employment, providing the employee enrolls.
• Retirement Savings: 401(k) with employer match, up to 6% and an annual 3.75% Defined Contribution to the 401k plan.
• Time Off: Paid Time Off including vacation, sick/safe time, caretaker time, 13 paid Holidays and 3 paid floating holidays.
• Life and Disability Protection: Company paid Life and Disability insurance.
• Additional benefits include, but not limited to, Employee Assistance Program, Employee Stock Purchase Plan, Tuition Assistance, Flexible Spending Accounts, Health Savings Account, Life Style Spending Account, Volunteer Time Off, Paid Parental Leave, if eligible , Family Building Benefits, Virtual Physical Therapy, Accident, Critical Illness and Hospital Indemnity Insurances, Identity Theft Protection, Legal Plan, Voluntary Life Insurance and Long Term Disability and more.
Already Working @Teva?
Make sure to apply through our internal career site on Twist, your one-stop shop for career development
Teva’s Equal Employment Opportunity Commitment
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, ancestry, national or ethnic origin, citizenship status, military status or status as a disabled or protected veteran, or any legally recognized status entitled to protection under applicable federal, state, or local laws.
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. Request a reasonable accommodation by sending an email to disabilityassistance@tevapharm.com with the nature of your request and your contact information. Only inquiries concerning a request for a reasonable accommodation will be responded to from this email address.
Important notice to Employment Agencies - Please Read Carefully
Teva Pharmaceuticals USA does not accept unsolicited assistance from agencies for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 62 comparable Manager Biostatistics & Data Science roles across 22 biopharma companies.
Salary context
37 of 62 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 62 comparable roles
+ 6 more countries
Seniority mix
62 of 62 peers have a known seniority level
Therapeutic area mix
8 of 62 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Open in 4 locations
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.