Senior Statistical Programmer

Merck & Co.; North Wales (Montgomery County); Hybrid; USD 117,000 - 184,200; Full time

Benefits offered by this job

Annual bonus

Long-term incentive

Comprehensive benefits

Job summary

Merck & Co. is seeking a Senior Statistical Programmer to deliver high-quality SAS/R analyses for Early Development Statistics and PK/PD modeling across therapeutic areas.

You will gather requirements, transform data, and develop tables, listings and figures for modeling and regulatory submissions. Responsibilities include creating compliant programming code, ensuring traceability, and collaborating with statisticians and PK modelers to improve efficiency and data integrity across global

Qualifications

• BA/BS or MS with relevant domain and SAS/R experience in clinical trials.
• Experience with CDISC SDTM and ADaM standards.
• Strong collaboration and communication skills.
• Ability to interpret analysis plans and develop programs.

Responsibilities

• Develop, validate, and maintain datasets, tables, listings, and figures.
• Provide analytical support to statisticians and PK modelers.
• Prepare compliant code for regulatory submissions.
• Ensure traceability from data source to results.
• Contribute to standards for efficient programming deliverables.

Skills

SAS programming

R programming

CDISC SDTM/ADaM

Clinical trials

Data manipulation

Team collaboration

Education

BA/BS in Computer Science/Statistics/Applied Mathematics/Life Sciences or related field

MS in Computer Science/Statistics/Applied Mathematics/Life Sciences or related field

Tools

SAS

R

Python

NonMem

Job description

Job Description

This position provides high quality statistical programming deliverables for global stakeholders in Early Development Statistics and/or PK/PD Modeling and Simulation spanning all our Company's therapeutic areas. The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables, listings and figures according to statistical/modeling analysis plan. The senior programmer will partner with stakeholders to solve problems; reduce the amount of programming tasks being completed by stakeholders to facilitate an increase in efficiency and compliance for the analyses. The senior programmer will also write programs to analyze data with statistical methods which are not currently available through commercial software packages. The programmer will be a key collaborator with statisticians, pharmacokinetic (PK) modelers, and other project stakeholders.

Primary Activities

• Programmatically develop, validate and maintain complex datasets, tables, listings, and figures
• Provide technical consultation and analytical support to statisticians and PK modelers for exploratory and unplanned statistical analyses
• Prepare compliant programming code for regulatory submissions including analysis datasets, tables, listings, figures and associated documentation
• Ensure programmatic traceability from data source to analysis / modeling result
• Support the development of programming standards to enable efficient and high quality production of programming deliverables

Education and Minimum Requirements

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5‑9 years SAS/R programming experience in a clinical trial environment
• MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 3‑7 years SAS/R programming experience in a clinical trial environment

Department Required Skills and Experience

• Effective interpersonal skills and ability to negotiate and collaborate effectively
• Effective written, oral, and presentation skills
• Effective knowledge and experience in developing analysis and reporting deliverables for research and development projects (data, analyses, tables, graphics, listings)
• A project leader; completes tasks independently at a project level; ability to collaborate with key stakeholders

Specific Required Skills and Experience

• Experience in CDISC SDTM and ADaM standards
• Significant SAS or R programming experience for data manipulation, analysis and reporting
• Designs and develops complex programming algorithms
• Ability to comprehend analysis plans which may describe methodology to be programmed; understanding of statistical terminology and concepts; Implements statistical methods not currently available through commercial software packages
• Demonstrated ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements; knowledge of pharmaceutical development processes

Preferred Skills and Experience

• Programming expertise with pharmacokinetic data (raw concentration data, derived PK parameters)
• Familiarity with clinical pharmacology concepts and pharmacokinetics concepts
• Efficiently manipulates very large databases including complex data preprocessing, filtering, and manipulation; programming expertise with clinical endpoint data (efficacy and safety) and pharmacokinetic data (raw concentration data, derived PK parameters)
• Experience with at least one other software than SAS (e.g., R, Python, NonMem)
• Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)
• Utilizes and contributes to the development of standard departmental SAS macros
• Ability and interest to work across cultures and geographies
• Ability to complete statistical programming deliverables through the use of global outsource partner programming staff
• Active in professional societies

Required Skills

• Clinical Database Programming
• Clinical Trials
• Collaborative Development
• Data Modeling
• Pharmaceutical Development
• Project Leadership
• Stakeholder Relationship Management
• Statistical Programming

Salary & Benefits

The salary range for this role is $117,000.00 - $184,200.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.

Location Requirements

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

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

Application Information

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

Employee Status: Regular

Relocation: Domestic

VISA Sponsorship: Yes

Travel Requirements: 10%

Flexible Work Arrangements: Hybrid

Shift: Not Indicated

Valid Driving License: No

Hazardous Material(s): N/A

Job Posting End Date: 07/22/2026

Equal Employment Opportunity

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. We comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit EEOC Know Your Rights and EEOC GINA Supplement.