Manager, Statistics - Oncology (Hybrid)
About this opportunity
Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
The Manager, Statistics provides statistical expertise to support the research and development organization. The Manager works independently in partnership with experts in multiple disciplines to advance medicines to our patients.
Responsibilities:
Provide expertise to design, analysis and reporting of clinical trials or other scientific research studies. Independently develop protocols and/or statistical analysis plans with details for programming implementation. Implement sound statistical methodology in scientific investigations.
Identify scientifically appropriate data collection instruments. Identify and report data issues or violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Partner with Data Science in preparing for database lock.
Independently perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Identify and anticipate issues arising in the study design, conduct and propose scientifically sound approaches. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.
Develop strategy for data presentation and inference. Collaborate in publication of scientific research. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures. Ensure that study results and conclusions are scientifically sound, clearly presented, and consistent with statistical analyses provided.
Work collaboratively with multifunction teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions, and pursue analyses suggested by data. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.
Qualifications
Minimum Qualifications:
MS (with 6+ years of experience) or PhD (with 2+ years of experience) in Statistics, Biostatistics, or a highly related field.
Experience performing statistical computations and simulations
Clinical trial experience in the pharmaceutical space and/or Oncology space
Other Required Skills:
Understanding of drug development and life-cycle management in the regulated environment.
High degree of technical competence and effective communication skills, both oral and written
Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others
Able to build strong relationship with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
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 36 comparable Manager Biostatistics & Data Science roles across 16 biopharma companies.
Salary context
11 of 36 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 36 comparable roles
+ 2 more countries
Seniority mix
36 of 36 peers have a known seniority level
Therapeutic area mix
7 of 36 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 2 locations
Open in 3 locations
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.