Senior Biostatistician, Clinical Trial Design

MyOme•Menlo Park, CA

5d•$160,000 - $180,000•Hybrid

About The Position

MyOme is seeking a senior biostatistician with a strong background in clinical trial design and familiarity with genetics for clinical risk prediction. The role owns trial design, estimands, and Statistical Analysis Plans, and involves working directly with data using reproducible code. As part of a small, self-sufficient, versatile team, the successful candidate will deliver analyses end-to-end and turn ambiguous questions into defensible, reproducible, and impactful findings. The position is hybrid, with 2–3 days onsite at MyOme’s Menlo Park, California office; remote work in the United States may be considered for the right candidate. Bay Area candidates are preferred. The annual salary range is $160,000–$180,000, commensurate with experience, and the role is eligible for equity.

Requirements

Ph.D. in Biostatistics or a closely related quantitative field.
At least 4 years of relevant industry experience.
Direct experience leading the statistical strategy for prospective clinical trials end-to-end, including SAP authorship, sample-size and power calculations, estimands, and working command of ICH E9.
Working familiarity with genetic risk assessment in clinical use, including polygenic or monogenic risk, through a diagnostic lab, screening program, or clinical trial.
Ability to independently take raw, poorly structured data and produce clean, reproducible analyses.
Proficiency in Python and/or R, version control such as Git, and large genomic or clinical datasets in cloud environments such as AWS, GCP, or DNAnexus.
Experience with survival and longitudinal modeling and causal inference for observational data.
Strong written and verbal communication skills, including the ability to communicate complex statistical concepts to non-technical audiences.

Nice To Haves

Experience with diagnostic-product trials.
Experience in a start-up environment.
A strong publication record demonstrating initiative and scientific independence.
Direct work on a genetics clinical-utility or decision-impact study.
Regulatory trial experience, including IDE or FDA interactions, or clinical validation for diagnostics / SaMD.

Responsibilities

Design prospective, biomarker-stratified studies to demonstrate the clinical utility of genetic 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, including biobank cohorts, EHR extracts, and registries, using reproducible and well-structured code.
Collaborate with the statistical genetics team on calibration and ancestry-portability questions that affect trial design.
Apply survival, longitudinal, and causal or observational methods to real-world evidence that complements trial data.
Partner with medical, regulatory, and clinical operations teams and support trial-related regulatory interactions.