Sr. Scientist, Statistical Programming- PKPD Oncology- 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 provides high quality statistical programming analysis and reporting deliverables for global PK modeling and simulation stakeholders spanning all therapeutic areas. The senior programmer will gather and interpret user requirements, retrieve the required data, transform the data into modeling-ready analysis datasets, and develop tables and figures according to the modeling analysis plans. The programmer will take on a data stewardship leadership role and be accountable for the creation of modeling data from original data source(s) to final modeling dataset. The programmer will be a key collaborator with modelers, statisticians and other project stakeholders.

Primary Activities:

• Programmatically synthesize preclinical data into analysis ready structures from varied data sources
  
• Create modeling-ready datasets by integrating PK, PD and covariate data
  
• Produce tables and graphics for inclusion in study reports and regulatory submissions
  
• Ensure programmatic traceability from data source to modeling result
  
• Support the development of programming standards to enable efficient and high-quality production of programming deliverables
  
• Produce SAS transport files and associated documentation for regulatory submissions
  

Education and Minimum Requirement:

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5-9 years SAS programming experience in a clinical trial environment
  
• MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 3-7 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
  
• Designs and develops complex programming algorithms
  
• Ability to comprehend analysis plans which may describe methodology to be programmed; understanding of statistical or pharmacokinetic terminology and concepts; Implements statistical methods not currently available through commercial software packages.
  
• Demonstrated ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements, knowledge of pharmaceutical development processes
  
• Efficiently manipulates clinical trial datasets including complex data preprocessing, filtering, and manipulation; programming expertise with clinical endpoint data (efficacy and safety) and pharmacokinetic data (raw concentration data, derived PK parameters).
  

Preferred Skills and Experience:

• Familiarity with pharmacokinetics modeling and simulation datasets and analyses
  
• Experience with at least one other software than SAS (e.g., R, Splus, NonMem)
  
• Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)
  
• Utilizes and contributes to the development of standard departmental SAS macros
  
• Ability and interest to work across cultures and geographies
  
• Ability to complete statistical programming deliverables through the use of global outsource partner programming staff
  
• Active in professional societies
  
• Oncology experience is a plus
  

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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 salary range for this role is
$114,700.00 - $180,500.00

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 .

You can apply for this role through (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

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:
Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:
Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:
Business, Clinical Site Management, Clinical Testing, Communication, Data Management, Data Modeling, Global Sourcing, Mechatronics, Numerical Analysis, Outsourcing, Pharmaceutical Development, Pharmacokinetics, PKPD Modeling, Site Initiation, Social Collaboration, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Statistical Programming, Waterfall Model

-Preferred Skills:

Job Posting End Date:
10/3/2025
*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.

Requisition ID: R354686