Senior Manager, Statistical Programming
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Job Summary
The Senior Manager, Statistical Programming is responsible for leading and participating in the development and validation of datasets, tables, figures, and listings (TFLs) that support the analysis and reporting of clinical trials and for providing expertise for statistical programming activities. This role will be expected to develop collaborative relationships and work effectively within the Statistical Programming team, with cross-functional teams, and external vendors.
Job Description
Create SAS programs and AI-assisted programming solutions to perform end-to-end statistical programming activities including SDTM, ADaM, and content for TFLs
Perform programming validation and quality review to ensure the accuracy, reproducibility, and integrity of analysis datasets, programming outputs, and AI-generated deliverables
Provide programming support for project teams, including development of programming strategies, standards, specifications, programmed analyses, and AI-enabled programming approaches
Lead and/or support submission preparations, deliverables, and regulatory responses
Review key planning documents (e.g., statistical analysis plan, data presentation plan, data review plan) to ensure alignment with development team objectives and clarity and completeness of programming assumptions and requirements; assess impact on programming activities
Develop or review validation plans for programming deliverables to ensure quality and consistency of outputs
Interact with vendors regarding project standards, programming conventions, programming specifications, file transfers, and AI-enabled programming practices, as applicable
Provide leadership in ensuring quality of deliverables by consistently applying standards and complying with regulatory requirements, guidance, and corporate and departmental SOPs and working practices.
Identify opportunities for increased efficiency, consistency, automation, and quality within Statistical Programming and interactions with vendors through innovative programming approaches and appropriate use of AI-enabled technologies
Independently lead and perform programming assignments with minimal supervision
Lead and/or participate in process improvement, standards, automation, and AI adoption initiatives that enhance productivity, quality, scalability, and consistency across Statistical Programming
Supervise contract workers and provide guidance on programming standards, quality expectations, and effective use of AI-enabled programming tools and workflows
Evaluate, implement, and champion emerging AI-enabled programming capabilities to streamline workflows, accelerate deliverable development, and drive continuous improvement while maintaining appropriate quality, traceability, and regulatory controls
Qualifications/ Required
Knowledge/ Experience and Skills:
Demonstrate proficiency in using SAS, R (preferrable), and AI-enabled programming tools to produce derived analysis datasets and TFLs
Knowledge of CDISC standards, relational database structures, and industry data standards.
Experience using software tools and applications (e.g., MS Office, XML, Pinnacle 21) and the ability to effectively adopt and apply emerging AI-enabled technologies
Ability to provide outputs that meet submission requirements, including ADaM datasets, define.xml files, reviewer guides, and other regulatory deliverables
Strong knowledge of regulatory, industry, and technology standards and requirements, including the appropriate use of AI-enabled tools in regulated environments
Good knowledge of the drug development process, clinical trials, medical terminology, statistical analysis plans, and protocol designs
Ability to work effectively in a team environment with clinical team members, vendors, and cross-functional stakeholders
Demonstrated ability to identify opportunities to improve productivity, quality, consistency, and automation through innovative programming approaches and AI-enabled solutions
Ability to critically evaluate, validate, and oversee AI-generated outputs to ensure accuracy, reproducibility, traceability, and compliance with established standards and procedures
Ability to support and influence the adoption of new technologies, standards, and AI-enabled programming practices across project teams
Experience supporting rare disease therapeutic areas and/or PK/PD analyses, preferred but not required
Master's degree in Statistics, Biostatistics, Mathematics, Computer Science, Life Sciences, or equivalent preferred, with at least 4 years of pharmaceutical industry experience preferred
Competencies
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
Respectful Collaboration - Seek and value others’ perspectives and strive for diverse partnerships to enhance work toward common goals.
Empowered Development - Play an active role in professional development as a business imperative.
Minimum $150,034.00 - Maximum $224,250.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate’s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.
Application Deadline : This will be posted for a minimum of 5 business days.
Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.
Come discover more about Otsuka and our benefit offerings; https://ah-prod.com/multi/videoplayer/player.html?v=6385356920112 .
Join Our Talent Community: Stay connected with Otsuka by joining our Talent Community. Tell us about your interests, and we’ll notify you about future opportunities that align with your background. https://community.hireez.com/cielo-otsuka/82cb3591
Disclaimer:
This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.
Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting EEAccommodations@otsuka-us.com .
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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 101 comparable Manager Biostatistics & Data Science roles across 26 biopharma companies.
Salary context
60 of 101 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 101 comparable roles
+ 8 more countries
Seniority mix
101 of 101 peers have a known seniority level
Therapeutic area mix
10 of 101 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
Open in 4 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.