Principal Biostatistician FSP, Renal Disease
Durham, North Carolina, United States of America
Job Level: FSP Principal Biostatistician – Renal Disease
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 yields all the benefits of working for an industry leading global CRO and collaborating directly with cross-functional sponsor teams. 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 pharmaceutical clinical trials in patients.
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 Responsibilities:
- Collaborate with multi-disciplinary project teams to establish project objectives and timelines.
- Write the statistical sections of clinical trial protocols, while consulting with internal and external experts.
- Author statistical analysis plans.
- Monitor internal and CRO project activities including timelines, deliverables, and availability of resources.
- Collaborate with Data Management, Clinical Development, and Clinical Operations with statistical expertise.
- Contribute to clinical study reports and other regulatory documents, e.g. NDA, DSURs, Briefing Documents, ISS, ISE, etc.
- Provide guidance and supervision to programmers in authoring of analysis dataset specifications and programming/validation of tables, listings, and figures.
- Interpret study results and review reports of study results for accuracy.
- Support exploratory analyses.
- Participate in pre-IND or NDA activities.
- Participates in other activities and meetings to support Biostatistics and the Development Team as needed.
Qualifications (Minimal acceptable level of education, work experience, and competency)
- PhD in Statistics, Biostatistics, or related field with 5+ years industry experience.
- MS in Statistics, Biostatistics, or related field with 7+ years of industry experience.
- At least 3 years in Phase 2/3 clinical trial experience.
- Demonstrated ability to work pro-actively and independently.
- Able to effectively communicate his/her ideas and to manage programmers in a constructive manner.
- Ability to use R or SAS to perform efficacy and safety analyses and validate important data derivations when necessary.
- Understanding of ICH GCP, ICH E9 plus general knowledge of industry practices and standards.
- Experience with …
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Benefits Bonuses Career development Career trajectory Compensation Equal employment opportunities Flexible schedules Healthcare Incentive plans Job stability Medical Remote work Technical training Work-life balance
Tasks- Collaborate with teams
- Interpret study results
- Monitor project activities
- Provide statistical support
- Support exploratory analyses
- Write clinical trial protocols
ADaM Biostatistics BioTech CDASH CDISC Clinical Development Clinical operations Clinical Research Clinical trial protocols Clinical trials Consulting Data Management Education Exploratory analyses GCP Healthcare ICH ICH GCP Insights Management Programming R Regulatory Submissions Research SAS SDTM Statistical analysis Statistical analysis plans Supervision Training
Experience5 years
EducationHealthcare Life Sciences MS Ph.D. Related Field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9