Scientist, Statistical Programming-PKPD (Hybrid PA/NJ)

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 stakeholders in Early and late Development PK/PD modeling and simulation stakeholders spanning both early and late-stage Oncology studies. Accountability predominantly includes the development and execution of statistical / modeling datasets, tables, listings, figures and regulatory submission deliverables under the guidance of senior level programmer. The Statistical Programmer will perform development and / or validation tasks according to departmental SOPs and collaborate effectively with stakeholders (Statistician, modelers, clinical team), other functional areas and outsource partners.

Primary Activities:

• Programmatically develop, validate and maintain modeling datasets, tables, listings and figures at study / protocol level
  
• Assure deliverables quality and compliance with departmental SOPs and good programming practices
  
• Collaborate effectively with project team members including outsource provider staff
  
• Ensure programmatic traceability from data source to analysis/modeling result
  
• Support the development of programming standards to enable efficient and high-quality production of programming deliverables
  
• Represent statistical programming on process improvement activities
  

Education :

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 2 years SAS programming experience in a clinical trial environment
  
• MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field
  

Department Required Skills and Experience:

• Good interpersonal skills and ability to negotiate and collaborate effectively
  
• Good written, oral, and presentation skills
  
• Knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
  
• Takes direction effectively and completes tasks at a project level; ability to collaborate with key stakeholders
  

Position Specific Skills and Experience:

• Experience with at least one other software than SAS (e.g., R, Python)
  
• Familiarity / experience with pharmacokinetic data and modeling and simulation datasets and analyses.
  
• SAS programming experience including data steps, procedures, data manipulation, SAS/MACRO, SAS/GRAPH
  
• Ability to quickly and effectively learn new program techniques and data structures
  
• Takes direction effectively and completes programming tasks under the guidance of a senior programmer at a project level
  
• Knowledge in CDISC SDTM and ADaM standards
  
• An interest to advance career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility
  

Preferred Skills:

• Knowledge of pharmaceutical development processes and clinical endpoint data (efficacy and safety)
  
• Good working knowledge of reporting processes (SOPs) and software development life-cycle (SDLC)
  
• Ability and interest to work across cultures and geographies.
  

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As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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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
$94,300.00 - $148,500.00

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:
Base SAS, Clinical Testing, Collaborative Development, Communication, Computer Science, Data Modeling, Numerical Analysis, Outsourcing, Python (Programming Language), R Shiny, SAS Macros, Science, Stakeholder Engagement, Stakeholder Relationship Management, Statistical Programming, Waterfall Model

-Preferred Skills:

Job Posting End Date:
08/12/2025
*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: R360299