Senior Scientist, Statistical Programming

Merck & Co.; Elmora (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

Merck & Co. in Rahway, NJ is seeking a Senior Scientist in Statistical Programming to support late-stage drug and vaccine clinical development.

You will develop and execute analysis and reporting deliverables, design statistical datasets, and collaborate with project teams to ensure timely, high-quality results across trials and regulatory submissions. The role requires a Master’s or Bachelor's degree with extensive SAS programming experience in a clinical trial setting, plus strong knowledge of

Qualifications

• Master's degree (or US equivalent) plus 3 years SAS programming in a clinical trial environment OR Bachelor's degree (or US equivalent) plus 5 years SAS programming in a clinical trial environment.
• Experience with CDISC and ADaM standards.
• Expertise in SAS programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database experience.

Responsibilities

• Provide support to statistical programming activities for late-stage drug/vaccine clinical development projects.
• Develop and execute statistical analysis and reporting deliverables from individual trials to global regulatory submissions.
• Design and maintain statistical datasets for multiple stakeholder groups across development, outcomes research and safety.
• Lead one or more projects and collaborate with statistics and other stakeholders to ensure timely, high-quality deliverables.

Skills

SAS programming

CDISC

ADaM

Statistical programming

Clinical Trials

Data Management

Project Leadership

Stakeholder Engagement

Statistical Analysis

SAS/MACRO

Education

Master's degree in Computer Science/Statistics/Life Sciences/Engineering or related field

Bachelor's degree in Computer Science/Statistics/Life Sciences/Engineering or related field

Job description

Job Description

Senior Scientist, Statistical Programming - Rahway, NJ:

• Provide support to statistical programming activities for late-stage drug/vaccine clinical development projects.
• Be accountable for the development and execution of statistical analysis and reporting deliverables (e.g. safety and efficacy analysis datasets, tables, listings, figures), the span of which range from individual clinical trials to world-wide regulatory application submissions and post marketing support.
• Design and maintain statistical datasets that support multiple stakeholder groups which include clinical development, outcomes research and safety evaluation.
• Act as a key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high quality deliverables.
• Serve as the statistical programming point of contact and knowledge holder through the entire product lifecycle.
• Apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.
• Lead one or more projects.

Requirements:

• Must have a Master's degree (or US equivalent) in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 3 years experience in SAS programming in a clinical trial environment OR a Bachelor's degree (or US equivalent) in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5 years experience in SAS programming in a clinical trial environment.
• Experience in CDISC and ADaM standards.
• Experience in designing and developing complex programming algorithms and ensuring process compliance and deliverable quality.
• Must possess expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH.
• Systems and database expertise.
• Must have ability to comprehend analysis plans which may describe methodology to be programmed.
• Have an understanding of statistical terminology and concepts; strategic thinking ability to turn strategy into tactical activities.
• Ability to design of statistical databases with the end in mind that optimize analysis and reporting and leverage departmental standards and industry best-practices.
• Ability to anticipate stakeholder requirements.
• Familiarity with clinical data management concepts.
• Effective interpersonal skills and ability to negotiate and collaborate effectively.
• Written, oral, and presentation skills.
• Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings) also required.
• Must be a project leader and possess ability to complete tasks independently at a project level.
• Ability to collaborate with key stakeholders.

Required Skills:

Clinical Development, Clinical Trials, Computer Science, Data Management, Data Modeling, Global Health, Marketing, Numerical Analysis, Outcomes Research, Project Leadership, Stakeholder Engagement, Stakeholder Relationship Management, Statistical Analysis, Statistical Programming, Strategic Thinking, Waterfall Model, Working Independently

Preferred Skills:

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

Search Firm Representatives Please Read Carefully-

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

Flexible Work Arrangements: Not Applicable

Job Posting End Date: 11/1/2026

*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: R411657