Senior Research Statistician - Statistical Innovation (Hybrid)
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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 Senior Research Statistician in Statistical Innovation is responsible for providing scientific and statistical leadership to support initiatives on designing innovative clinical trials and to evaluate, develop and deploy advanced and novel statistical/analytical modeling and simulations to drive statistical innovation modeling and simulation in Clinical Development.
Responsibilities:
Actively supports in the evaluation, introduction, development and education of novel statistical and/or machine learning/deep learning approaches.
Demonstrates extensive competence in investigating/evaluating complex innovative designs and analysis options using scientific computing, modeling and simulations.
Demonstrates extended understanding and actively seeks to acquire new knowledge in advanced and emerging statistical methods (e.g. Adaptive designs, Bayesian methods, synthetic control, predictive modeling etc.).
Applies imagination. Creates, invents, and implements new or better approaches, alternatives, and breakthrough ideas in modeling and simulations.
Demonstrates ability to apply statistical knowledge to solve real-world problems. Demonstrates the ability to evaluate alternative statistical and machine learning approaches.
Shows proficiency in development, implementation, and rollout of statistical and deep learning tools and techniques (e.g. using R, R-shiny, Python, Julia, etc.) to operationalize key innovative methodologies.
Builds and maintains external reputation and influences industry with presentations, attending industry meetings, or authoring articles for peer-reviewed publications.
Qualifications
Minimum Qualifications
PhD in Statistics, Biostatistics or a highly related field.
Advanced knowledge of statistical modeling and methodology and good understanding of drug development process.
Demonstrated experience in advanced statistical computing & simulation skills.
Proven expertise in standard (e.g. SAS, R)
Preferred Qualifications:
Experience in pharmaceutical development and applied statistics/statistical consulting preferred.
Expertise in specialized statistical software (e.g., FACTS, EAST, etc.) is preferred.
Other Required Skills:
Proven ability to collaborate and consult with discipline experts and leaders within and across function.
Excellent communication skills, both oral and written
Excellent teamwork and leadership skills
Passionate about statistical innovation and always think out of the box and is never satisfied with 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 this posting 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 short-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 and until 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 131 comparable Senior Biostatistics & Data Science roles across 31 biopharma companies.
Salary context
56 of 131 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 131 comparable roles
+ 11 more countries
Seniority mix
131 of 131 peers have a known seniority level
Therapeutic area mix
9 of 131 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.
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.