1

Statistical Genetics Jobs in California (NOW HIRING)

Experience with statistical genetics and integrating functional and omics data with gwas * First-hand experience studying disease biology * Passionate about problem solving, asking questions and ...

Biostatistics/Statistical Genetics, Cancer Genetics,Bioinformatics, Computational Biology, Computational Immunology or similar). Alternatively, a PhD inMolecular Biology or Immunology combined with a ...

Part-time, Faculty - Statistics

CA · On-site

$56.46 - $86.44/hr

... genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and ...

... non-statistical audiences * Track record of producing high quality written documentation for multiple audiences * Prior experience with next-generation sequencing (NGS), genetics, and/or oncology ...

Showing results 41-60

Statistical Genetics information

What does a statistical geneticist do?

A statistical geneticist analyzes genetic data using statistical methods to identify genetic factors associated with traits or diseases. They often work with large datasets, employ software tools like R or Python, and collaborate with researchers to interpret genetic information for research or clinical purposes.

What are the key skills and qualifications needed to thrive as a statistical geneticist, and why are they important?

To thrive as a Statistical Geneticist, you need a strong background in genetics, statistics, and bioinformatics, often supported by an advanced degree (such as a PhD) in genetics, statistics, or a related field. Expertise with analytical tools like R, Python, PLINK, and genome-wide association study (GWAS) software, as well as familiarity with large-scale genetic datasets, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills are crucial for generating meaningful genetic insights, advancing research, and ensuring accurate analysis in complex genetic studies.

How to become a statistical geneticist?

To become a statistical geneticist, typically a candidate needs a bachelor's degree in genetics, statistics, or a related field, followed by a master's or Ph.D. in statistical genetics, bioinformatics, or computational biology. Developing skills in programming languages like R or Python, understanding genetic data analysis, and gaining experience through research or internships are also important steps.

What are some typical collaborative projects a statistical geneticist might work on within a multidisciplinary research team?

Statistical Geneticists frequently collaborate on projects involving genome-wide association studies (GWAS), analysis of large-scale sequencing data, and development of new statistical methods for genetic data interpretation. These projects often require close teamwork with bioinformaticians, laboratory scientists, clinicians, and data analysts to design studies, interpret findings, and translate genetic discoveries into clinical or biological insights. Such collaborations offer opportunities to contribute specialized statistical expertise while learning from other disciplines, ultimately advancing both scientific understanding and career growth.

What is the difference between Statistical Genetics vs Bioinformatics?

AspectStatistical GeneticsBioinformatics
Required CredentialsDegree in Genetics, Statistics, or related fieldsDegree in Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, academic institutions, healthcare settingsResearch labs, biotech companies, healthcare institutions
Industry UsageGenetic research, disease association studies, population geneticsGenomic data analysis, sequence alignment, data management

Statistical Genetics focuses on analyzing genetic data using statistical methods to understand inheritance and disease associations, while Bioinformatics emphasizes developing computational tools for managing and interpreting biological data. Both roles often collaborate but serve distinct functions within genetic research and healthcare industries.

What is statistical genetics?

Statistical genetics is a field of study that combines statistics and genetics to analyze and interpret genetic data. It focuses on understanding the genetic basis of traits and diseases by applying statistical methods to data from genome-wide association studies, family studies, and population genetics. Statistical geneticists develop models and tools to map genes that contribute to complex traits, estimate heritability, and predict genetic risk. Their work supports advances in personalized medicine, agriculture, and evolutionary biology.
What are popular job titles related to Statistical Genetics jobs in California? For Statistical Genetics jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistical Genetics jobs in California look for? The top searched job categories for Statistical Genetics jobs in California are:
What cities in California are hiring for Statistical Genetics jobs? Cities in California with the most Statistical Genetics job openings:
Infographic showing various Statistical Genetics job openings in California as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 19% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Manager / Associate Director, Project & Portfolio Management

Socket.dev

South San Francisco, CA • On-site

$164 - $204/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

The Opportunity

The unprecedented convergence of multi-modal data, advanced disease modeling, and computational power is revolutionizing drug discovery. insitro is harnessing this moment to redefine how medicines are developed for complex diseases. Our AI/ML-enabled platforms integrate and scale data to rapidly discover novel biological insights to redefine complex diseases and identify new targets and drugs. To enable this vision we are seeking an Sr. Manager (Associate Director) of Project and Portfolio Management who will help our project teams to discover and advance exciting drug candidates into the clinic for neurological or metabolic indications.

Reporting into the Head of Project and Portfolio Management (PPM), you will partner with project team leaders in developing rightsized project strategy and create a successful team environment with a high-level of performance. You will develop and execute high quality integrated project plans with clear timelines spanning research, discovery, clinical development, software engineering, and data science/machine learning. As part of PPM you will also be a part of establishing and improving project management tools and methodologies across our portfolio to support critical initiatives.

This role can be either hybrid coming onsite to our South San Francisco headquarters or remote with travel to the office as work necessitates; local candidates will have the option of a hybrid approach with three days per week in the office.

About You
  • BS degree required in a life science field, MS or PhD preferred

  • Minimum of 5 years of experience (8 years for Assoc Dir) in biotech/pharmaceutical industry in the early development space, including 2+ years (5+ for Assoc Dir) in project/portfolio leadership leading cross-functional matrix teams

  • Extensive knowledge of the drug development process and deliverables at each stage of the pipeline, with deep experience in translational stages, target discovery, early commercial assessment and preliminary clinical development

  • Excellent Project Management Skills – driving execution while balancing speed, quality, and cost including proficiency with project management tools and software e.g., critical path analyses and scenario planning (project management certification preferred)

  • Ability to strategically analyze and summarize complex information into important concepts for broader communication including to senior leaders

  • Deep experience leading matrix team meetings to enable collaboration, decision-making, and alignment with internal and external customers while leading all aspects of project scope, deliverables, risks, and resources

  • Ability to resolve complex cross-functional problems while building and maintaining positive working relationships with collaborators

  • Familiarity with high-content human data modalities (e.g., genetics/genomics, histopathological imaging, spatial biology), data generation technologies and familiarity with computational methods that are relevant to biomedical informatics, clinical informatics, statistical genetics, and medical genetics

Nice to Have
  • Project Management Certification (PMP or equivalent)

  • Familiarity with Google suite and Smartsheets strongly preferred

  • Prior use of generative AI tools / LLM technologies in day-to-day work (e.g. ChatGPT, Gemini, Perplexity)

  • Understanding of high-content human data modalities (e.g., genetics/genomics, histopathological imaging, spatial biology) and data generation technologies

  • Familiarity with and passion about machine learning enabled drug discovery

Compensation & Benefits at insitro

Our target starting salary for successful US-based applicants for this role is $164,000 - $204,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.

This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

In addition, insitro also provides our employees:

  • 401(k) plan with employer matching for contributions

  • Excellent medical, dental, and vision coverage as well as mental health and well-being support

  • Open, flexible vacation policy

  • Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)

  • Quarterly budget for books and online courses for self-development

  • New hire stipend for home office setup

  • Monthly cell phone & internet stipend

  • Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid

  • Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.

Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at info@insitro.com.

#LI-Hybrid

About insitro

insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.

#J-18808-Ljbffr