Senior Scientist, Genomic Risk & Clinical Biostatistics

MyOme; San Francisco (CA); Hybrid; USD 160,000 - 180,000; Full time

Benefits offered by this job

Healthcare

401K

Unlimited PTO

Professional development

Company-sponsored off‑sites

Direct access to leadership

Job summary

MyOme in the San Francisco Bay Area seeks a Senior Scientist with a strong background in clinical statistics and human genetics to design and analyze studies that establish the utility of our risk prediction models in real clinical settings. You’ll own trial design, estimands, and SAPs, and work directly with data in reproducible code.

You’ll apply survival, longitudinal, and causal methods, collaborate with medical and regulatory teams, and contribute end-to-end analyses that turn questions

Qualifications

• Ph.D. in Biostatistics, Statistical Genetics, Genetic Epidemiology, or related field.
• 4+ years of professional experience in a similar role.
• Experience in clinical study design: SAPs, estimands, and ICH E9.
• Experience with genetic data and biostatistics methods.
• Ability to produce clean, reproducible analyses in Python/R.

Responsibilities

• Design prospective biomarker-stratified studies to demonstrate clinical utility of models.
• Develop and execute SAPs, sample-size/power, and analyses per ICH guidelines.
• Pull, clean, and analyze complex genomic/clinical data in reproducible code.
• Apply statistical genetics methods to study design and score evaluation.
• Use survival and longitudinal methods and causal inference for real-world evidence.
• Collaborate with medical, regulatory, and clinical operations teams.

Skills

Python

R

Git

Cloud computing

Survival analysis

Longitudinal modeling

Causal inference

Statistical genetics

Data wrangling

Education

Ph.D. in Biostatistics / Statistical Genetics / Genetic Epidemiology

Tools

DNAnexus

AWS

GCP

Job description

MyOme in the San Francisco Bay Area seeks a Senior Scientist with a strong background in clinical statistics and human genetics to design and analyze studies that establish the utility of our risk prediction models in real clinical settings. You’ll own trial design, estimands, and SAPs, and work directly with data in reproducible code.

You’ll apply survival, longitudinal, and causal methods, collaborate with medical and regulatory teams, and contribute end-to-end analyses that turn questions