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Statistical Genetics Jobs in California (NOW HIRING)

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

(Senior) ML Scientist

South San Francisco, CA ยท On-site

$183K - $238K/yr

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 ...

Genetic Counselor 2

Sacramento, CA ยท On-site

$51.47 - $67.87/hr

... genetics. * Knowledge of the statistical methods and procedures, including survey techniques for evaluation of the adequacy of research designs and techniques; ability to communicate in written form ...

$62K - $63K/yr

Minimum RequirementsMS in computational biology, bioinformatics, biostatistics, biophysics, mathematics, statistics, genetics/genomics, computer science or a related STEM discipline and a minimum of ...

Showing results 41-60

Statistical Genetics information

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 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 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.

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.

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 genomics. Developing skills in programming languages like R or Python and gaining experience with genetic data analysis are essential. Relevant certifications or training in statistical methods and genetics can also enhance qualifications.

Is biostatistics in high demand?

Biostatistics is in high demand due to the growth of healthcare, genomics, and personalized medicine. Statistical genetics professionals with skills in data analysis, programming, and understanding biological data are increasingly sought after in research institutions, pharmaceutical companies, and healthcare organizations.

What does a statistical geneticist do?

A statistical geneticist analyzes genetic data to identify associations between genetic variations and traits or diseases. They develop and apply statistical models, often using software like R or Python, to interpret complex biological data and contribute to research in genetics and genomics.

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, 78% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

$100 - $140/hr

Other

Posted 18 days ago


Job description

Department Summary

The Department of Biostatistics at the UCLA Fielding School of Public Health is internationally recognized for excellence in biostatistical research, education, and interdisciplinary collaboration. Faculty and students conduct innovative research in Bayesian methods, causal inference, data science, machine learning, statistical genetics, longitudinal and survival analysis, and spatial statistics. The Department collaborates extensively with investigators across UCLA Health, the David Geffen School of Medicine, and other research institutions to advance discoveries that improve public health and healthcare outcomes. In addition to its nationally ranked graduate programs, the Department is home to the Master of Data Science in Health (MDSH) program, which prepares students to apply advanced data science, statistical, and computational methods to complex biomedical and health-related challenges. The Department is known for its collegial, collaborative, and supportive environment and its commitment to advancing data-driven approaches to public health and medicine.

Position Summary

Join the UCLA Fielding School of Public Health's Department of Biostatistics, a nationally and internationally recognized leader in biostatistical research, data science, and public health innovation. The Senior Fund Manager plays a critical role in supporting a diverse portfolio of sponsored research projects, contracts, grants, and departmental funds that advance scientific discovery and improve health outcomes worldwide. Working closely with faculty, researchers, and administrative leadership, the incumbent will provide high-level financial analysis, research administration, and strategic fund management for complex federal, state, and private awards. This position offers the opportunity to contribute to cutting-edge research initiatives while supporting the Department's renowned graduate programs, including the Master of Data Science in Health (MDSH) program. The ideal candidate will thrive in a collaborative, fast-paced environment and enjoy partnering with faculty and staff to support the Department's research, education, and service mission.

Salary & Compensation

*UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits.

Qualifications
  • Advanced knowledge and demonstrated experience serving as a Fund Manager in all aspects of research administration, including pre-award proposal development, post-award administration, financial management, compliance monitoring, and award closeout. (Required)
  • Advanced knowledge of contract and grant administration, including proposal preparation, budget development and justification, sponsor guideline interpretation, award management, effort reporting, reconciliations, financial reporting, and closeout activities. (Required)
  • Working knowledge of funding agency regulations, policies, and procedures, including federal, state, private, and nonprofit sponsors, and the ability to apply those requirements throughout the award lifecycle. (Required)
  • Knowledge of University accounting principles, financial management practices, internal controls, audit requirements, and administrative policies and procedures related to purchasing, travel, payroll, reimbursements, and personnel actions. (Required)
  • Working knowledge of UCLA financial and administrative systems and related business applications, including financial reporting, payroll, purchasing, fund transfers, travel, and reimbursement systems. (Required)
  • Demonstrated ability to interpret, apply, and communicate University policies, sponsor regulations, and administrative procedures, exercising sound judgment to resolve complex financial and compliance issues. (Required)
  • Advanced analytical, mathematical, and problem-solving skills sufficient to evaluate financial data, reconcile accounts, assess risk, monitor expenditures, develop projections, and prepare financial analyses and recommendations. (Required)
  • Demonstrated skill in budget development, forecasting, financial planning, and preparation of accurate financial reports using Microsoft Excel and other financial reporting tools. (Required)
  • Demonstrated ability to independently prioritize and manage a complex, high-volume workload with competing deadlines while maintaining a high degree of accuracy, efficiency, and attention to detail. (Required)
  • Excellent written, verbal, interpersonal, consultation, and customer service skills sufficient to communicate complex financial information and establish effective working relationships with faculty, staff, students, sponsors, and campus partners. (Required)
  • Demonstrated experience utilizing financial, payroll, purchasing, and reporting systems to manage contracts, grants, gifts, endowments, discretionary funds, and other funding sources while ensuring compliance with University and sponsor requirements. (Required)
  • Demonstrated ability to identify financial risks, implement process improvements, maintain confidentiality, and support operational excellence and best practices in research administration and fund management. (Required)
Special Conditions for Employment
  • Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.
  • Age Requirement: Candidate(s) must be 18 years or older to be eligible to be hired.
Schedule

8:00 am- 5:00 pm

Union/Policy Covered

RP-Research and Public Service PR

Complete Position Description

https://universityofcalifornia.marketpayjobs.com/ShowJob.aspx?EntityID=38&JDName=Research%20Administrator%203%20RP%20(40087676)

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