Associate Principal Scientist, Statistical Programmer- Analysis & Reporting Standards/Innovation - Hybrid
USA - Pennsylvania - North Wales (Upper Gwynedd)
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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.
Our Quantitative Sciences team uses big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis and high-quality data to support decision making in clinical trials.
The Associate Principal Scientist, Statistical Programmer supports the design, development, and delivery of efficient, flexible, and modular analysis and reporting and submission standards that can be used for drug and/or vaccine projects across all therapeutic areas. Adheres to standard operating procedures and guidelines established by the department. Drives data structures which includes analysis and reporting data standards and submission standards and actively contributes to the department's strategic initiatives.
Primary Activities:
Develop and validate global programming standards for ADaM datasets
Develop and validate global programming standards for efficacy analysis and reporting
Develop and validate global programming standards for safety analysis and reporting
Design and develop complex programming algorithms
Provide technical consultation and analytical support to statistical programmers and statisticians
Represent our Company on relevant industry initiatives including R Consortium, TransCelerate, PHUSE, CDISC,.
Collaborate with key stakeholders, partners in driving Analysis & Reporting standard programs using our Company standards, processes
Education and Minimum Requirement:
BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 9 or more years of SAS programming experience in a clinical trial environment
MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 7 or more years of SAS programming experience in a clinical trial environment
Department Required Skills and Experience:
Excellent interpersonal skills and ability to negotiate and collaborate effectively
Excellent written, oral, and presentation skills
Broad knowledge and significant experience in developing analysis and reporting deliverables for Research & Development (R&D) projects (data, analyses, tables, listings, figures)
Strong project management skills; leadership at a program level; determines approach and ensures consistency and directs development of others when opportunities arise; ability to engage key stakeholders
Position Specific Required Skills and Experience:
Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH and familiarity with at least one other statistical computing software
Knowledge and understanding of CDISC SDTM and ADaM standards
Experience working with analytical research databases including various analysis datasets and procedures
Demonstrated understanding of statistics, clinical trial, and data management concepts as applied to drug/vaccine development
Preferred Skills and Experience:
Experience in developing flexible and efficient complex analysis and reporting standard SAS macros
R, Python and XML experience
Experience with Linked data, natural language processing
Experience using SAS, R in Unix/Linux environment
Ability to comprehend analysis plans which may describe methodology to be programmed; understanding of statistical terminology and concepts; Implements statistical methods not currently available through commercial software packages
Ability and interest to work across cultures and geographies
Active in professional societies
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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”.
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Expected US salary range:
$135,500.00 - $213,400.00Available 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.
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Employee Status:
RegularRelocation:
DomesticVISA Sponsorship:
YesTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
1st - DayValid Driving License:
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Job Posting End Date:
11/15/2024*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: Big Data Biostatistics CDISC Computer Science Data management Engineering Linux Mathematics NLP Python R R&D Research SAS Statistics XML
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Relocation support Salary bonus
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