You Will:
Provide statistical programming support to data cleaning and locking activities, pre-defined and exploratory analysis, formal reports, publications, presentations, and new statistical methodologies.
Work closely with biostatisticians to create data and analysis program specifications based on the statistical analysis plan (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.
Have opportunities to work with data scientists closely on machine learning projects.
Have opportunities to work on engineering-oriented projects like dashboarding and scaling up efforts with large-scale genomic data.
May have opportunities to act as a biostatistician on small-scale projects.
Your Background Will Include:
2+ years in R Programming and statistical programming experience in academia or industry. Molecular diagnostics industry experience preferred
B.S. or M.S in Statistics or related field
Proficient in R or Python
Experience in deriving variables and creating analysis datasets for clinical studies
Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA
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
Job Types: Full-time, Contract
Pay: From $40.00 per hour
Schedule:
- 8 hour shift
Ability to Commute/Relocate:
- Remote (Preferred)
Education:
- Bachelor's (Preferred)
Experience:
- R Programming: 3 years (Preferred)
- SAS: 3 years (Preferred)
Contract Length:
- 7 - 11 months
Full Time Opportunity:
- Yes
Work Location:
- Fully Remote
This Job Is Ideal for Someone Who Is:
- Detail-oriented -- would rather focus on the details of work than the bigger picture
Company's website:
- www.Clinovo.com
Company's Facebook page:
- https://www.facebook.com/Clinovo-Resourcing-267207716950617/
COVID-19 Precaution(s):
- Remote interview process
- Virtual meetings
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