Sr. Scientist, Statistical Programming- STDM, Hybrid
USA - Pennsylvania - North Wales (Upper Gwynedd), United States
Full Time Senior-level / Expert USD 114K - 180K
MSD
At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.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.
Responsibilities:
The Senior Statistical Programmer, Submission Data Standards Quality Management (SDS QM), 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
Develop SAS Macros and Python Functions for SDTM Conversions.
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 stakeholders
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, SDRG, ADRG
Experience with SAS and Python Programming for SDTM Conversions.
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:
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
BARDS2020
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U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.
Expected US salary range:
$114,700.00 - $180,500.00Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.
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
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully
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.
Employee Status:
RegularRelocation:
No relocationVISA Sponsorship:
YesTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
N/ARequired Skills:
Business, Business, Clinical Data, Clinical Databases, Clinical Site Management, Clinical Testing, Clinical Trials, Coaching, Communication, Computer Science, Data Analysis, Data Management, Data Modeling, Electronic Submissions, Microsoft Project, Numerical Analysis, Process Improvement Projects, Process Improvements, Project Information Management, Project Management, Project Planning, Regulatory Compliance, SAS Macros, Social Collaboration, Software Development {+ 8 more}Preferred Skills:
Job Posting End Date:
06/13/2025*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Tags: Biostatistics CDISC Computer Science Consulting Data analysis Data management Engineering Mathematics Python R R&D Research SAS SDLC Statistics Testing XML
Perks/benefits: Career development Conferences Flex hours Flex vacation Health care Insurance Relocation support Salary bonus
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