Principal Biostatistician FSP, RWE

IQVIA LLC

Durham (NC)

Remote

USD 120,000 - 309,000

Full time

5 days ago
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Benefits offered by this job

Home-based remote work
Flexible schedules
Professional development

Job summary

IQVIA’s Data Sciences Staffing Solutions (DSSS) seeks a Principal Biostatistician to provide full statistical support for real-world evidence (RWE) drug development. This home-based role partners with sponsor teams, enabling flexible schedules while delivering rigorous analyses and regulatory-ready documentation.

You will lead statistical activities, oversee SAS programming for complex inclusion/exclusion criteria, and collaborate across cross-functional groups to drive strategic RWE initiatives.

Qualifications

  • Ph.D. in Statistics, Biostatistics, or related field with 5+ years of industry experience.
  • Experience leading secondary data analysis, including medical claims, EMR, registries.
  • Hands-on experience as Project statistician with real-world data (EMR/claims).
  • Fluency in LOA, mock TFLs, protocol and SAP.
  • Experience in cost analysis and healthcare resource utilization (HCRU) using RWD.
  • Experience with CDISC ADAM datasets.
  • Extensive collaboration with medical affairs and health economics.

Responsibilities

  • Collaborate with multi-disciplinary project teams to establish project goals and timelines.
  • Serve as statistical lead and represents Biometrics on health outcomes and epidemiology studies.
  • Serve as SME for RWE/HEOR/HTA research design, methodologies, data sources, and reporting.
  • Write statistical analysis plans.
  • Provide strategic/tactical support for cross-functional RWE development for regulators, payers, and clinicians.
  • Leverage administrative claims, EMR, registries or other real-world data and recommend optimal analysis.
  • Select and implement analytical methods including statistical models or ML models.
  • Develop study protocols, SAS programs, study reports, and other study documents.
  • Identify innovation opportunities for the use of RWD.
  • Establish effective communication with internal stakeholders about using RWD.

Skills

SAS programming
RWE/HTA design
RWE data sources
ICH GCP/E9
Stakeholder communication
Project leadership
LOINC codes
Propensity score matching

Education

Ph.D. in Statistics/Biostatistics

Tools

SAS

Job description

Job Level: FSP Principal Biostatistician for RWE Research Location: Home-based in the U.S. or Canada
Why DSSS?

Data Sciences Staffing Solutions, DSSS, 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 expert sponsor teams. 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 full range statistical support for drug development based on real world evidence (RWE).

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 project budgets and change orders.
  • Experience with regulatory submissions.
  • Engaging, fast-paced environment.
  • Good work-life balance.
Job Requirements
  • Collaborate with multi-disciplinary project teams to establish project goals and timelines.
  • Serves as statistical lead and represents Biometrics on health outcomes and epidemiology studies.
  • Serves as subject matter expert for RWE/HEOR/HTA research design, methodologies, data sources, analytic techniques, and reporting.
  • Writes statistical analysis plans.
  • Provides strategic and tactical support for cross-functional RWE development for regulators, payers, and clinicians.
  • Leverages administrative claims, electronic medical records, registries, or other real-world data and recommends optimal analysis.
  • Selects and implements appropriate analytical methods including statistical models or machine learning models to align with overall business objectives.
  • Develops high quality study protocols, statistical analysis plans, study reports, and other study documents.
  • Identifies innovation opportunities for the use of RWD.
  • Establishes effective communication with various internal stakeholders to understand and support the strategy for when and how to use RWD.
  • Commitment to maintaining the highest standards of data accuracy and integrity by implementing rigorous quality control processes throughout the data handling and analysis phases.
  • Demonstrated ability to quickly adapt to new requirements and efficiently handle ad-hoc requests.
Required Knowledge, Skills, and Abilities
  • In-depth knowledge of RWE databases, including large administrative claims data, EMR, disease registries, and clinical trial data.
  • Demonstrated ability in evaluation and development of RWE from conceptualization through application.
  • Familiarity with LOINC codes, reimbursement and lab data interpretation, and ability to implement surrogate variable algorithms (e.g., phenotype definitions, proxies for clinical endpoints)
  • Ability to execute statistical analysis plans using advanced programming techniques to perform detailed and complex analyses relevant to real-world evidence.
  • Ability to effectively interpret and communicate research results to internal and external audiences.
  • Understanding of ICH GCP and E9 as well as general knowledge of industry practices and standard
  • Knowledge of global regulatory and HTA requirements for RWE
  • Excellent organizational skills and proven ability to effectively lead multiple projects to successful completion.
  • SME-level proficiency in SAS programming tailored to handle complex inclusion and exclusion criteria, conduct propensity score matching, and develop outcome metrics.
Required Education and Experience
  • Ph.D. in Statistics, Biostatistics, or related field with 5+ years of industry experience.
  • Experience leading secondary data analysis, including medical claims, electronic medical records, chart reviews, and registries.
  • Solid hands-on experience as Project statistician with real-world data, including EMR/EHR and claims datasets (e.g., Humedica, Optum, MarketScan, CMS, Komodo, Truveta, TrinetX, etc.)
  • Fluency in LOA, mock TFLs, protocol and SAP
  • Experience in cost analysis and healthcare resource utilization (HCRU) evaluation using RWD
  • Experience with CDISC ADAM datasets.
  • Extensive working experience with stakeholders such as medical affairs and health economics
Preferred but not Required Experience
  • Understanding of payer landscape, health economic outcomes, and value demonstration frameworks
  • Exposure to regulatory submissions, HTA support.
  • Expertise in R is also valued.

#LI-Remote #LI-NITINMAHAJAN

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.

https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $111,000.00 - $309,000.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments.

Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere.

Thank you for your interest in growing your career with us.

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