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FSP Principal Biostatistician- Early Phase Clinical Development; PK

Remote / Online - Candidates ideally in
Durham, Durham County, North Carolina, 27703, USA
Listing for: IQVIA
Remote/Work from Home position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Research/Development
    Data Scientist
Job Description & How to Apply Below
Position: FSP Principal Biostatistician- Early Phase Clinical Development(PK)

Job Level: FSP Senior or Principal Biostatistician for Early Phase Clinical Development (PK)

Location: Home-based in the U.S. or Canada

Why DSSS?

Data Sciences Staffing Solutions, DS3, is a unit within IQVIA that provides our sponsors with fully embedded resources through a Functional Service Provider (FSP) partnership. This means you get all the benefits of working for an industry leading global CRO while collaborating with sponsor teams and utilizing sponsor systems. These sponsor clients include world class pharmaceutical and biotech companies offering you unique opportunities to influence the future of medicine and advance therapies to market.

Job Summary:

The Principal Biostatistician is responsible for providing statistical support for drug development programs in early phases of development, focusing on healthy normal studies with PK and PD endpoints.

Additional Benefits:

  • Home-based remote working opportunities
  • Work/life balance as well as flexible schedules
  • Collaborating with motivated, high-performance, statistical and research teams
  • Technical training and tailored development curriculum
  • Research opportunities that match your unique skillset
  • Promising career trajectory
  • Job stability: long-term engagements and re-deployment opportunities
  • Focus on bringing new therapies to market rather than on project budgets and change orders
  • Engaging, fast-paced environment
  • Good work-life balance

Job Responsibilities:

  • Collaborate with multidisciplinary project teams to establish project timelines.
  • Provide statistical input to study synopses and protocols.
  • Write the statistical sections of clinical trial protocols, including sample size calculations, while consulting with internal and external experts.
  • Review eCRF and other data management documents.
  • Create or review randomizations and related specifications.
  • Write or review statistical analysis plans, dataset and TLF specifications.
  • Provide guidance and supervision to programmers in authoring of analysis dataset specifications and programming of tables, listings, and figures.
  • Provide statistical review and validation of the same.
  • Use SAS and/or R to perform inferential analyses and validate key data derivations.
  • Interpret study results and review reports of study results for accuracy.
  • Monitor internal and CRO project activities including timelines, deliverables, and availability of resources.
  • Collaborate with Data Management, Clinical Development, and Clinical Pharmacologists/PK with statistical expertise.
  • Contribute to clinical study reports and other regulatory documents e.g., DSURs, IB, etc.
  • Support exploratory analyses.
  • May support IND activities.

Qualifications (Minimal acceptable level of education, work experience, and competency)

  • PhD in Statistics, Biostatistics, or related field with 3+ years industry experience.
  • MS in Statistics, Biostatistics, or related field with 5+ years of industry experience.
  • 2+ years of experience in statistical analysis of non-compartmental PK endpoints in pharmaceutical industry
  • Understanding of ICH GCP, regulatory guidance for clinical pharmacology studies and industry practices/standards.
  • Experience with CDISC, including SDTM, ADaM, CDASH.
  • Demonstrated ability to work independently in project management and decision making.
  • Able to effectively communicate his/her ideas and to manage programmers in a constructive manner.
  • Proficiency in SAS to perform analyses and validate important data derivations.

Desired

Experience:

  • Knowledge of basic statistical modeling, simulations and PD/biomarker analyses
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