Senior Scientist, Statistical Programming - SDTM (Hybrid)

Job Description

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our 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.

Responsibilities:

The Senior Statistical Programmer, Submission Data Standards Quality Management (SDSQM), provides oversight and quality management of submission data standard deliverables for world-wide regulatory application submissions of drug and vaccine clinical development projects. Accountability predominantly includes submission data standards planning activities, coaching and consulting with project teams, outreach to external vendors and partners, and keeping current with industry submission data standards including SDTM, ADaM, clinical site data for CDER inspection planning, etc.

The incumbent will be responsible for continuous improvement of our electronic submission process and providing tools and templates to support delivery focusing on traceability, quality assurance, data conformance and data fitness. The position is a key collaborator with statistical programming, statistics, regulatory and other project stakeholders.

Primary Activities:

• PreNDA and PreBLA meeting preparation, study data standards plan, preparing questions for FDA e-data mailboxes (CBER/CDER), attendance at meetings with regulatory agencies (FDA, EMA, PMDA).
• Guiding project teams preparing submission deliverables including use of Pinnacle 21 Enterprise.
• Up-versioning activities to specific versions of SDTM.
• Participation in industry teams and conferences on best practices.
• Membership on departmental strategic initiative project teams.

Education and Minimum Requirement:

• 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.
• 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 stakeholder.

Position Specific Required Skills and Experience:

• US and/or worldwide drug or vaccine regulatory application submission experience including the development of electronic submission deliverables.
• Experience with submission standards CDISC (SDTM, ADaM), Define.XML, cSDRG, ADRG.
• Demonstrated success in the assurance of deliverable quality and process compliance.
• Excels in technical writing, able to convert complex ideas and information into simple readable form.
• Solid project management skills.
• Familiarity with clinical data management concepts.
• Strategic thinking - ability to turn strategy into tactical activities.
• Ability to anticipate stakeholder requirements.

Preferred Skills and Experience:

• Hands-on experience with R and Python for data analysis and statistical modeling.
• Strong working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC).
• Experience assuring consistency across protocols and projects.
• 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.

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Where required by law, the compensation range for this role is provided below.

The salary range for the primary location of this role is:

This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of 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.

Additional location(s): Please note the salary range above applies to the Primary Location of the position. Where a role has other listed locations, different compensation guidelines may apply. You may find the salary ranges for additional locations below. If the salary range is not listed for the location you are applying to, our Talent Acquisition team will provide further information to you relevant to your location.

Additional location(s) Compensation Information:

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

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