Sr. Scientist, Stat. Programming - SDTM (Hybrid)

Merck Sharp & Dohme LLC
North Wales, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 184K

Job location

North Wales, United States of America

Tech stack

Clinical Data Management
Computer Programming
Data Governance
R
Microsoft Project
SAS (Software)
Management of Software Versions
Information Technology
Data Management

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., 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

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
  • 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

eligibleforERP, Clinical Trials, Computer Programming, Computer Science, Data Management, Data Modeling, Electronic Submissions, Microsoft Project, Numerical Analysis, Process Improvements, Project Management, Regulatory Compliance, SDTM Mapping, Stakeholder Relationship Management, Statistical Programming, Strategic Thinking, Study Data Tabulation Model (SDTM), Technical Writing, Waterfall Model

Benefits & conditions

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)

The salary range for this role is

$117,000.00 - $184,200.00

About the company

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.

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