Senior Scientist Statistical Programming, Late-Stage (Hybrid)

Job Description
In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our Company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, 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.
This position supports statistical programming activities for late stage drug/vaccine clinical development projects. This may include leadership of one or more projects. Accountability predominantly includes 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.
The incumbant is responsible for the design and maintenance of statistical datasets that support multiple stakeholder groups which include clinical development, outcomes research and safety evaluation.
The position is a key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high quality deliverables.
For assigned projects the position serves as the statistical programming point of contact and knowledge holder through the entire product lifecycle.
Primary Activities:
Effective analysis and report programming development and validation utilizing global and TA standards and following departmental SOPs and good programming practices.
Maintain and manage a project plan including resource forecasting.
Coordinate the activities of a global programming team that includes outsource provider staff.
Membership on departmental strategic initiative teams.
Skills:
Education and Minimum Requirement:
BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 5 years SAS programming experience in a clinical trial environment.
MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 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.
Effective written, oral, and presentation skills.
Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings).
A project leader; completes tasks independently at a project level; ability to 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.
Designs and develops complex programming algorithms.
Ability to comprehend analysis plans which may describe methodology to be programmed; an understanding of statistical terminology and concepts.
Familiarity with clinical data management concepts.
Experience in CDISC and ADaM standards.
Experience ensuring process compliance and deliverable quality.
Strategic thinking - ability to turn strategy into tactical activities; 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.
Preferred Skills and Experience:
Experience with GenAI tools (e.g R, R Shiny, R Force, Python Claude etc) is highly preferred.
Demonstrated success in the assurance of deliverable quality and process compliance. Strong working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC).
US and/or worldwide drug or vaccine regulatory application submission experience including the development of electronic submission deliverables.
Experience assuring programming consistency across protocols and projects, directing the program development effort of other programmers; experience as a programming mentor.
Ability and interest to work across cultures and geographies.
Ability to complete statistical programming deliverables through the use of global outsource partner programming staff.
Experience developing and managing a project plan using Microsoft Project or similar package.
Active in professional societies.
Experience in process improvement.
BARDS2020
eligibleforERP
SPjobs
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EBRG
Required Skills:
CDISC ADaM, Clinical Data Interchange Standards Consortium (CDISC) Standards, Clinical SAS Programming, Clinical Trials, Data Management, Data Modeling, Macro Programming, Numerical Analysis, Stakeholder Relationship Management, Waterfall Model
Preferred Skills:
Python (Programming Language), Regulatory Submissions, R Programming
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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. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
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.
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