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Merck

Sr. Scientist, Statistical Programmer- Late-Stage, Hybrid

Merck, Rahway, New Jersey, us, 07065

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Sr. Scientist, Statistical Programmer- Late-Stage, Hybrid

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Sr. Scientist, Statistical Programmer- Late-Stage, Hybrid

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Merck In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within Merck's Research and Development division, quantitative scientists apply state-of-the-art scientific methodologies and tools in partnership with subject matter experts to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health. Responsibilities

The position supports statistical programming activities for late-stage drug/vaccine clinical development projects, including leadership of one or more projects. Develop and execute statistical analysis and reporting deliverables (e.g., safety and efficacy analysis datasets, tables, listings, figures) across trials and regulatory submissions. Design and maintenance of statistical datasets supporting clinical development, outcomes research, and safety evaluation. Collaborate with statistics and other project stakeholders to ensure efficient execution of plans and high-quality deliverables. Serve as the statistical programming point of contact and knowledge holder through the product lifecycle for assigned projects. Education and Minimum Requirements

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5 years SAS programming experience in a clinical trial environment MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 3 years SAS programming experience in a clinical trial environment Department Required Skills And Experience

Effective interpersonal skills and ability to negotiate and collaborate effectively Strong written, oral, and presentation skills Experience developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings) Ability to work independently as a project leader and collaborate with key stakeholders Position Specific Required Skills And Experience

Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise Preferred qualifications include hands-on experience using R and Python for data analysis Designs and develops complex programming algorithms Ability to comprehend analysis plans and relevant statistical terminology Familiarity with clinical data management concepts Experience with CDISC and ADaM standards Experience ensuring process compliance and deliverable quality Strategic thinking to translate strategy into tactical activities and design of statistical databases Ability to anticipate stakeholder requirements Preferred Skills And Experience

Experience ensuring deliverable quality and process compliance; knowledge of SDLC and reporting processes (SOPs) Regulatory submission experience including preparation of electronic submissions Experience guiding programming across protocols/projects and mentoring programmers Ability to work across cultures and geographies Experience coordinating with global outsource programming staff Project planning experience using Microsoft Project or similar Active in professional societies; process improvement experience Job Details

US hybrid work model: three days on-site per week (Mon-Thu) with some variation by site; remote day on Friday unless business needs require otherwise Salary range: $114,700.00 - $180,500.00 Annual bonus and long-term incentive eligibility where applicable Benefits including medical, dental, vision, retirement (401k), holidays, vacation, and sick days Relocation: Domestic; Visa Sponsorship: Yes; Travel: up to 10% Employment status: Regular; Flexible work arrangements: Hybrid Application information: Apply at Merck careers site; posting end date 10/10/2025 Equal Employment Opportunity

As an Equal Employment Opportunity Employer, Merck provides equal opportunities to all employees and applicants and prohibits discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other legally protected characteristics. We comply with affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under U.S. EEO laws, visit the EEOC Know Your Rights and GINA Supplement pages. U.S. Hybrid Work Model note: Effective September 5, 2023, eligible on-site employees in the U.S. follow a hybrid schedule as described above. San Francisco and Los Angeles residents: references to local fair chance hiring policies apply where required by law. For more details, refer to Merck career pages.

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