Biostatistician (Biomarker Discovery)
Position: Role: Biostatistician
Experience: 5 years +
Work Location/Model : USA- Remote
Job Description:
Key Responsibilities
• Aid in the planning and writing of biomarker statistical analysis plans in the lead-up to clinical trials.
• Run and develop statistical models—such as random effects, mixed effects, and MMRM models—on biomarker data once clinical trials conclude.
• Support discovery research by reviewing literature and conducting power analyses to determine the efficacy of exploratory biomarkers.
• Work flexibly within a US time zone to collaborate with local stakeholders and act as a bridge for the current team members based in India.
Mandatory Skills: Biomarker, Modelling, SAP (Statistical Analysis Plan), Python, Or R.
Required Qualifications
• A highly formalized and solid background in statistical analysis.
• Strong capability to understand experimental design in scientific literature, formulate null and alternate hypotheses, and identify the appropriate statistical models or tests.
• Deep comprehension of how statistical models function and the core assumptions required to run and check them in the biomarker discovery space.
• Proficiency in programming with Python or R (Note: SAS coding is not required for this role).
• Must be located in a US time zone (such as the East Coast or Midwest) to enable real-time collaboration with US-based team members.
Preferred Skills
• Good to have - Familiarity with CDISC standards, specifically experience working with ADaM or SDM datasets
• Good to have - Experience or subject-matter knowledge in neuroscience and eye care (Scott's team) , the broader team also supports oncology and immunology .
• Must have - Prior experience with biomarker discovery projects.
Pay: $95,000.00 - $110,000.00 per year
Experience:
• Python OR R: 5 years (Required)
• Biomarker Discovery Project: 1 year (Required)
• SAP (Statistical Analysis Plan): 1 year (Required)
Work Location: Remote
Apply Now
Apply Now
Experience: 5 years +
Work Location/Model : USA- Remote
Job Description:
Key Responsibilities
• Aid in the planning and writing of biomarker statistical analysis plans in the lead-up to clinical trials.
• Run and develop statistical models—such as random effects, mixed effects, and MMRM models—on biomarker data once clinical trials conclude.
• Support discovery research by reviewing literature and conducting power analyses to determine the efficacy of exploratory biomarkers.
• Work flexibly within a US time zone to collaborate with local stakeholders and act as a bridge for the current team members based in India.
Mandatory Skills: Biomarker, Modelling, SAP (Statistical Analysis Plan), Python, Or R.
Required Qualifications
• A highly formalized and solid background in statistical analysis.
• Strong capability to understand experimental design in scientific literature, formulate null and alternate hypotheses, and identify the appropriate statistical models or tests.
• Deep comprehension of how statistical models function and the core assumptions required to run and check them in the biomarker discovery space.
• Proficiency in programming with Python or R (Note: SAS coding is not required for this role).
• Must be located in a US time zone (such as the East Coast or Midwest) to enable real-time collaboration with US-based team members.
Preferred Skills
• Good to have - Familiarity with CDISC standards, specifically experience working with ADaM or SDM datasets
• Good to have - Experience or subject-matter knowledge in neuroscience and eye care (Scott's team) , the broader team also supports oncology and immunology .
• Must have - Prior experience with biomarker discovery projects.
Pay: $95,000.00 - $110,000.00 per year
Experience:
• Python OR R: 5 years (Required)
• Biomarker Discovery Project: 1 year (Required)
• SAP (Statistical Analysis Plan): 1 year (Required)
Work Location: Remote
Apply Now
Apply Now