Senior Scientist, Clinical Biostatistics & Genetic Risk Prediction

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’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.

Position Overview

We're seeking a senior scientist with a strong background in clinical statistics and human genetics to design and analyze the clinical studies that establish the utility of our risk prediction models in real clinical settings. You'll own trial design, estimands, and Statistical Analysis Plans, and you'll work directly with the data using reproducible code. This is a key role on a small, self-sufficient, and versatile team: the successful candidate will roll up their sleeves to deliver the analysis end-to-end, transforming ambiguous questions into defensible, reproducible, and impactful findings.

What You'll Do

• Design prospective, biomarker-stratified studies to demonstrate the clinical utility of our models; define estimands, endpoints, and analysis strategies.
• Develop and execute Statistical Analysis Plans, sample-size and power calculations, and primary, sensitivity, and subgroup analyses consistent with ICH E9 / E9(R1).
• Pull, clean, and analyze complex data (e.g. biobank cohorts (UK Biobank, All of Us), EHR extracts, registries) in reproducible and well-structured code.
• Apply statistical genetics methodology (calibration, ancestry portability, confounding, population stratification) to study design and score evaluation.
• Apply survival, longitudinal, and causal/observational methods to real-world evidence that complements trial data.
• Partner with medical, regulatory, and clinical operations teams and support trial-related regulatory interactions.

What You'll Need

• Ph.D. in Biostatistics, Statistical Genetics, Genetic Epidemiology, or a related quantitative field and 4+ years of professional experience in a similar role.
• Demonstrated clinical study / trial design experience: SAP authorship, sample-size/power, estimands, and working command of ICH E9.
• Statistical genetics or genetic epidemiology experience.
• Demonstrated ability to take raw, poorly-structured data and produce clean, reproducible analyses independently.
• Proficiency in Python and/or R, version control (Git), and large genomic/clinical datasets in cloud environments (AWS / GCP / DNAnexus).
• Survival and longitudinal modeling; causal inference for observational data.
• Strong written and verbal communication skills to communicate complex statistical concepts to non-technical audiences.

Preferred / Bonus Qualifications

• Experience in a start-up environment.
• Population-scale biobank experience (UK Biobank, All of Us, MVP).
• Strong publication record that demonstrates initiative and scientific independence.
• Direct work on a genetics clinical-utility or decision-impact study.
• Regulatory trial experience (IDE, FDA interactions) or clinical validation for diagnostics / SaMD

Location, Compensation, and Benefits

• Location: Hybrid, 2–3 days onsite at our Menlo Park, CA office; Bay Area candidates preferred. Remote in the US considered for the right candidate.
• Compensation: Annual salary range of $160,000 - $180,000, commensurate with experience. This role is also eligible for equity.

San Francisco Bay Area pay range: $160,000 USD - $180,000 USD

Benefits

• Comprehensive healthcare coverage (Health, Dental, and Vision)
• 401K
• Unlimited PTO
• Professional development opportunities
• Company-sponsored off‑sites and team meals during in-person meetings
• Direct access to company leadership and the opportunity for career growth

Diversity, Inclusion, and Equal Opportunity

MyOme values diversity in all forms. We believe that diverse perspectives drive better science and better patient outcomes. We are an Equal Opportunity Employer committed to creating an inclusive workplace that empowers every individual.

Why Work at MyOme?

Join us if you:

• Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level
• Enjoy rolling up your sleeves, taking initiative, and being empowered to lead
• Value humility, transparency, and collaborative problem-solving
• Thrive in fast-moving, dynamic environments with smart, driven teammates
• Appreciate competitive compensation, meaningful equity, and excellent benefits

Learn More: myome.com