Lead Biostatistician
Job description
About the role
This role advances regulated molecular diagnostic testing for Natera by applying statistics and IVD expertise to clinical trial design and interpretation. The position supports the oncology portfolio through methodological oversight, analysis execution, and cross-functional communication.
Every role in this field shares a few habits: clear communication, structured thinking, and steady follow through. Teams hold regular meetings, review progress, and adjust plans. Success usually depends on how well you work with others, not just how hard you try. Successful professionals in any field share a few habits: they take notes, keep commitments, and communicate in writing. Teams value people who make their work easy to review and build on.
Key facts
What you'll do
Risks are identified, concerns are communicated, and solutions are championed to interdisciplinary project teams to address issues in regulated development.
Junior team members receive mentoring and technical supervision to strengthen analytical capacity and consistency.
Other duties as assigned are performed to respond to evolving project and regulatory needs.
Requirements
The posting states a minimum of 4 years of experience.
A Master's degree in biostatistics, statistics, or equivalent with 5+ years of relevant experience, or a PhD in biostatistics, statistics, or equivalent with 3+ years of relevant experience.
Practical experience designing and executing statistical analyses in a regulated environment and clinical trials for regulatory submissions spans at least three years.
Practical experience with statistical analysis software such as R, SAS, or JMP persists for a minimum of four years.
Prior diagnostic experience is preferred to align with product context.
Practical notes
This role requires remote work within the United States.
Compensation varies by candidate qualifications and location.
Typical interview steps
Hiring processes usually combine a screening conversation with one or more interview rounds. Candidates can expect questions about their experience, a scenario or case, and a chance to ask their own questions. Preparation and specific examples from past work carry the most weight. Whatever the role, preparation is visible. Reviewing the company's product, the job description, and your own past work before the conversation is the strongest step.
Good to know
Biostatisticians in diagnostics apply probability theory and statistical methods to evaluate and develop novel approaches.
Clinical trial design and regulatory standards guide the development of robust studies in regulated environments.
Collaboration across genetics, laboratory science, and software engineering is common in molecular diagnostic development.
Clear communication of complex statistical concepts helps non-statistical stakeholders make informed decisions.
Documentation quality affects regulatory review and product approvals in healthcare settings.
Next-generation sequencing and oncology testing experience support precision medicine initiatives.
Questions to ask
Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.
Career growth
Careers in this field grow through a mix of experience, responsibility, and demonstrated results. Early years build skills; later years build ownership. Many professionals switch focus areas or companies to keep growing. Growth in any career comes from scope, results, and reputation. Take on work that is slightly uncomfortable, and make sure others can see the outcomes.
About the company
Therapeutics & Innovations Nateraâs Therapeutics & Innovations group is at the forefront of applying AI, genomics, and multimodal data to transform precision medicine. From building genomic foundation models to developing predictive AI platforms, our mission is to accelerate biomarker discovery, improve clinical trial design, and enable novel personalized therapeutics.