Senior Scientist, Statistical Programming
About this opportunity
Job Description
Responsibilities:
Support statistical programming activities for clinical trial data analysis.
Develop SAS programs to create and validate analysis datasets (ADaM) and summaries (TFLs) in support of Clinical Study Reports and regulatory submissions (FDA, EMA, etc.).
Collaborate with biostatisticians, project leads, and other stakeholders in ensuring project plans are executed efficiently with timely and high-quality deliverables.
Develop effective study and report programming and validation utilizing global CDISC, ICH, and Therapeutic Areas standards and following departmental SOPs and good programming practices.
Maintain and manage a project plan including resource forecasting. Coordinate activities of a global programming team. Participate in departmental strategic initiative teams.
Requirements:
Master’s degree or equivalent in Computer Science, Statistics, Applied Mathematics, Biomedical Engineering, or a closely related field and 3 years of experience in the position offered or a related role; OR a Bachelor's degree or equivalent in Computer Science, Statistics, Applied Mathematics, Biomedical Engineering, or a closely related field and 5 years of experience in the position offered or a related role.
Must have 3 years of experience with all the following:
Developing analysis and reporting deliverables for Phase 2 and 3 clinical trials, including creation of analysis datasets, tables, graphics, and listings, for planned and unplanned analyses.
SAS programming in a clinical trial environment including data step and procedures, macros, graphics, ODS.
Interpreting and executing on clinical trial statistical analysis plans.
Utilizing CDISC standards to create ADaM and SDTM datasets.
Designing and developing complex programming algorithms.
Ensuring process compliance and deliverable quality.
Required Skills:
Preferred Skills:
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Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
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San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
No relocation
VISA Sponsorship:
No
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Not Applicable
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
08/19/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID:R395927
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 62 comparable Senior Biostatistics & Data Science roles across 16 biopharma companies.
Salary context
22 of 62 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 62 comparable roles
+ 7 more countries
Seniority mix
62 of 62 peers have a known seniority level
Therapeutic area mix
1 of 62 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.
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.