Director, Statistical Programming - Immunology (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 Director, Statistical Programming is a key leadership role responsible for overseeing a team of both new and experienced programmers. They will be leading and managing the statistical programming team to ensure efficient and high-quality deliverables. This role will have a strong focus on multiple indications within a specific therapeutic area, ensuring that all programming activities align with the overall clinical development strategy. The Director will collaborate closely with cross-functional teams to provide strategic input and support decision-making processes. They will also be responsible for establishing and maintaining standard operating procedures to ensure compliance with regulatory requirements and industry best practices.
Responsibilities:
SAS Programming: Demonstrated extensive understanding of SAS programming concepts and techniques appropriate to the pharmaceutical industry. Able to critically review programming techniques and strategy. Recognizes limitations in programming strategy and corrects flaws proactively.
Standards: Monitors and interprets industry/regulatory trends and regulatory guidance. Sets both short and long term vision for programming standards. Ensures programming standards work seamless with related function’s standards.
DATABASE ACTIVITIES: Case report forms and database definitions: Provides strategic guidance on the development of CRFs and database designs. Provides strategic guidance on global standards related to CRF designs and database designs.
Derivation Programming, Submission Data Sets and Programs: Demonstrated proficiency in interpreting statistical analysis plans and developing analysis data set specifications. Monitors and interprets industry/regulatory trends and regulatory guidance. Sets both short and long term vision for programming standards
Client Interaction: Works collaboratively with multiple stakeholders to manage priorities and resources across therapeutic areas. Builds relationships with external partners and service organizations. Demonstrates an understanding of drug development principles. Anticipates potential problems within and across projects and develops appropriate contingency plans. Creates escalation plans to ensure resolution of all issues at the therapeutic and project levels. Provides strategic guidance
Communication: Effectively and persuasively presents statistical programming concepts, assessment of risks and impacts and logical arguments to other statistical programmers, statisticians, scientists and non-scientists. Effectively presents information through planning and execution of meetings and presentations.
Training and Mentoring: Provides coaching and mentoring to first line managers when needed. Provides strong professional and technical leadership to maintain highly motivated staff. Arranges appropriate training opportunities for staff to facilitate their timely career development. Ensures consistency of training opportunities across the organization. Ensures that self and staff are compliant with training requirements.
Resource Management: Manages statistical programming staff by appropriate assignment of responsibilities, defining scope and reviewing activities/progress so that projects are delivered on time with suitable quality. Allocates resources to projects such that the correct balance of expertise and experience is maintained for all projects. Responsible for assisting the Global Director of Statistical Programming in preparing global resource planning.
Establishes high expectations and goals to ensure organizational success and leads staff to meet or exceed those goals. Creates an organization that executes efficiently and is committed to meeting goals. Encourages a culture of open, honest communication where all are encouraged to express their views.
Creates an organization that executes efficiently and is committed to meeting goals. Encourages a culture of open, honest communication where all are encouraged to express their views.
Qualifications
Minimum Qualifications:
MS in Statistics, Computer Science or a related field with 12+ years of relevant experience. OR BS in Statistics, Computer Science or a related field with 14+ years of relevant experience.
Highly competent in SAS programming and Macro development.
Pharmaceutical experience with clinical trials, including familiarity with expectations of regulatory agencies, especially FDA and EMEA. NDA/BLA or other regulatory filing experience, including ISS or ISE experience.
A minimum of 5 yrs management experience required.
Previous experience leading direct reports
Preferred Qualifications:
Immunology Experience
Experience utilizing AI in statistical programming activities
Other Required Skills:
High degree of technical competence and communication ability, both oral and written.
Thorough understanding of ICH Guidelines and relevant regulatory requirements.
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 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 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 76 comparable Director Biostatistics & Data Science roles across 27 biopharma companies.
Salary context
38 of 76 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 76 comparable roles
+ 6 more countries
Seniority mix
76 of 76 peers have a known seniority level
Therapeutic area mix
12 of 76 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
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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.