Senior Statistical Programmer – Medical Affairs, SAS & R 3672885

Axiom Path

  • Bridgewater, New Jersey
  • 1 day ago
  • Remote

    Highlights

    At least 3 years of relevant statistical programming experience within pharmaceutical, biotechnology, or a related clinical research environment; candidates with 5+ years are strongly aligned. This close-knit team works across publications, abstracts, scientific meetings, internal analyses, and other high-priority reporting needs.

    Numbers & Facts

    LocationBridgewater, New Jersey (
    Remote
    )

    Description

    Be Part Of A High-Performing Team

    Join a specialized Medical Affairs statistical programming team within a biopharmaceutical organization supporting post-submission scientific and analytical activities. This close-knit team works across publications, abstracts, scientific meetings, internal analyses, and other high-priority reporting needs. With a lean structure and strong emphasis on accuracy, the environment is highly collaborative while giving experienced programmers meaningful ownership over their work.

    What's In Store For You

    • Fully remote opportunity anywhere within the continental United States.
    • One-year contract engagement with potential extension based on performance, business need, and budget.
    • Flexibility to generally work within your local business hours while maintaining sufficient overlap with an East Coast-based team.
    • Opportunity to work within a small Medical Affairs statistical programming group where individual contributions are highly visible.
    • Exposure to varied post hoc, ad hoc, publication, and scientific reporting requests.
    • Potential opportunities to support other statistical programming teams during lighter Medical Affairs workload periods.

    How You Will Make An Impact

    • Provide statistical programming support for Medical Affairs analyses, publications, abstracts, scientific meetings, and internal requests.
    • Produce and validate tables, figures, listings, and other statistical reporting outputs.
    • Pick up existing SAS programs developed by other programmers, quickly understand their structure and logic, and accurately adapt them for new requests.
    • Develop parallel or related analyses by modifying established programming approaches and reusable code.
    • Use both SAS and R to support analytical and reporting deliverables.
    • Perform ad hoc and post hoc analyses with short turnaround expectations.
    • Maintain exceptionally high programming and QC standards across deliverables.
    • Work independently while collaborating closely with statistical programming colleagues and cross-functional stakeholders.
    • Support other statistical programming groups when workload demands shift across the organization.
    • Manage multiple requests while maintaining accuracy, responsiveness, and attention to detail.

    Are you an experienced statistical programmer ready to make an impact in Medical Affairs reporting?

    • At least 3 years of relevant statistical programming experience within pharmaceutical, biotechnology, or a related clinical research environment; candidates with 5+ years are strongly aligned.
    • Advanced hands-on SAS programming skills.
    • Strong hands-on R programming experience is required.
    • Demonstrated ability to work with and modify programming originally written by other programmers.
    • Strong experience developing or validating tables, figures, listings, and other statistical reporting outputs.
    • Experience supporting ad hoc, post hoc, publication, abstract, or scientific reporting analyses is highly valuable.
    • Familiarity with CDISC standards, including SDTM and ADaM.
    • Ability to independently troubleshoot code and deliver high-quality programming with minimal oversight.
    • Exceptional attention to detail and commitment to programming quality.
    • Strong written and verbal communication skills.
    • Ability to collaborate effectively within a small team while managing shifting priorities and short timelines.
    • Bachelor's degree in Mathematics, Statistics, Computer Science, or a related discipline.

    #dice

    Similar Jobs

    See more jobs