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Programming Associate, Statistical Programming

0-2 years
$80,800 – $121,200
10 Dec. 18, 2025
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Programming Associate – Statistical Programming | Princeton, NJ

Job ID: R14389
Category: Clinical Data & Programming
Job Type: Full-Time / Entry-Level
Location: Princeton, New Jersey, United States


About Genmab

Genmab is a global biotechnology leader committed to improving patient outcomes through innovative antibody therapeutics. With over 25 years of experience, Genmab has developed cutting-edge platforms including bispecific T-cell engagers, antibody-drug conjugates, immune checkpoint modulators, and effector function-enhanced antibodies.

Headquartered in Copenhagen, Denmark, Genmab operates internationally across North America, Europe, and Asia-Pacific. By 2030, Genmab aims to transform cancer and serious disease treatment with its Knock-Your-Socks-Off (KYSO®) antibody medicines.

Learn more at www.genmab.com.


Role Overview

The Programming Associate in Statistical Programming is an entry-level position focused on developing expertise in clinical trial data programming. This role supports the creation of SDTM, ADaM datasets, and TLFs under supervision, contributing to high-quality clinical deliverables and regulatory-compliant outputs.

The ideal candidate is detail-oriented, collaborative, and eager to develop skills in clinical data standards, statistical programming, and regulatory guidelines.


Key Responsibilities

  • Execute programming tasks under close supervision, including SDTM, ADaM, and TLF development.

  • Conduct quality control (QC) and support sponsor oversight activities.

  • Develop proficiency in company-standard coding practices and tools.

  • Build technical skills in data manipulation, visualization, and reporting.

  • Participate in internal programming meetings and training sessions.

  • Maintain knowledge of study-level documentation and contribute to inspection readiness.

  • Adhere to version-control discipline, good programming practices, and company standards.

  • Continuously update knowledge of ICH guidelines, regulatory requirements, CDISC fundamentals, and therapeutic areas.


Qualifications

  • Education: Bachelor’s or Master’s degree in Statistics, Biostatistics, Computer Science, or related fields.

  • Experience: Entry-level; 0 years relevant experience required.

  • Basic understanding of programming concepts; exposure to SAS, R, or other statistical software preferred.

  • Interest in clinical data standards (e.g., CDISC SDTM, ADaM) and regulatory compliance.

  • Strong attention to detail, organizational skills, and ability to work in a collaborative, fast-paced environment.


Compensation and Benefits (US-Based Candidates)

  • Salary Range: $80,800 – $121,200 annually (based on experience, qualifications, and location).

  • Eligibility for discretionary bonuses and long-term incentives.

  • Comprehensive medical, dental, and vision coverage.

  • 401(k) plan with company match.

  • Paid vacation, sick leave, holidays, and 12 weeks of discretionary parental leave.

  • Access to wellness, financial, and lifestyle support programs.

  • Commuter benefits, tuition reimbursement, and Lifestyle Spending Account for wellness and personal expenses.


About You

  • Passionate about clinical data programming and advancing patient-centered research.

  • Collaborative and proactive, with strong attention to detail.

  • Eager to learn, innovate, and grow in a dynamic, fast-paced environment.

  • Committed to ethical practices and regulatory compliance.

  • Open to mentorship and continuous professional development.