Job Description
Responsibilities
- Provide statistical programming support to pre-specified and exploratory analysis, formal reports, publications, presentations, and new statistical methodologies
- Work closely with biostatisticians to review the statistical analysis plan (SAP), and create data and analysis program specifications based on the SAP
- Maintain complete and auditable programming documentation for analysis of clinical studies
- Contribute to the development, documentation and maintenance of a reusable programming code library
- Serve as a member of clinical study teams
- Work with data scientists closely on machine learning projects, as applicable
- Work on engineering-oriented projects like dashboarding, automation, and scaling up efforts with large-scale genomic data, as applicable
- May act as a biostatistician on small-scale projects
- Stay abreast of industry developments in the Statistical Programming field and apply to appropriate systems and processes
Preferred Qualifications
- B.S. or M.S in Statistics or related field or equivalent
- 5+ years statistical programming experience in academia or industry. Molecular diagnostics industry experience preferred.
- Proficiency in R is required or experience programming in SAS with FDA regulatory experience.
- Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA
- Experience with vcf, CDISC, SDTM, and ADaM compliant data sets is strongly desirable
- Experience with regulatory submissions is strongly desirable
- Ability to work independently on multiple concurrent projects in a fast-paced environment
- Strong team player with demonstrated track record of success in cross-functional team environment
Desired experience
- Molecular diagnostics industry experience preferred
- R is strongly preferred
- Regulatory filing experience is strongly preferred
Date Posted
06/13/2024
Views
4
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