Senior Manager, Statistical Programming - Oncology Early Development
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 Senior Manager, Statistical Programming performs statistical programming and analysis oversight for
OED (Oncology Early Development) clinical projects conducted by CROs. This individual is responsible for
overseeing several compounds/indications on all statistical programming related tasks delivered by CROs.
The goal is to ensure data integrity and high quality of all the analysis for oncology first in human clinical
trials up through clinical proof of concept. This individual also performs hands on programming to validate
analysis datasets and TLFs delivered by CRO and support in-house studies for full set of analysis tasks. This
individual may need to manage other regular or contract statistical programmers.
Responsibilities:
•Leads the statistical programming activities for one or more compounds/indications or a therapeutic
area.
•Manages a team of statistical programmers and the resource planning for their assigned projects.
•Ensures timely deliverables, that all quality processes are followed and consistency within the
projects.
•Develops and oversees the development of SAS programs for the creation of ADaM data sets
following CDISC standards.
•Develops and oversees the development of SAS programs for the creation of Tables, Listings and
Figures.
•Ensures consistency of ADaM data sets for individual studies and integrated data.
•Creates documentation for regulatory filings including reviewers guides and data definition
documents.
•Leads the development of standard SAS Macros and the development of standard operating
procedures.
•Manages, mentors and creates career development plans for assigned staff.
•Participates in the recruitment and selection of new staff.
Qualifications
•MS in Statistics, Computer Science or a related field with 9+ years of relevant experience. OR BS in
Statistics, Computer Science or a related field with 11+ years of relevant experience.
•Minimum of 2 years experience leading a team of statistical programmers.
•In-depth understanding of SAS programming concepts and techniques related to drug development.
•In-depth understanding of CDISC Standards.
•In-depth understanding of the drug development process, including experience with regulatory
filings.
•Ability to communicate clearly both oral and written.
•Ability to effectively represent the Statistical Programming Organization in cross functional teams.
•Ability to accurately estimate effort required for project related programming activities.
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 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.