Senior Scientist, Statistical Programming
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At a glance
Requirements
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Job overview
The Senior Scientist, Statistical Programming provides support for statistical programming in late-stage drug and vaccine clinical development, designing datasets, collaborating with stakeholders, and leading projects while ensuring high‑quality deliverables throughout the product lifecycle.
Skills & qualifications
Skills
Qualifications
Full job description
Compensation
$117,000.00 - $184,200.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Job Description
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. 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 also required. 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; 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; and 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; and to collaborate with key stakeholders. To apply, visit Merck Sharp & Dohme LLC’s career site at www.merck.com/careers to create a profile and submit your CV for Job Req# R411657. EOE. Merck Sharp & Dohme LLC is a subsidiary of Merck & Co., Inc.
Place of Work
On-site
Requisition ID
R411657
Job Type
Full Time
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