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Full Time Quantitative Genetics Jobs (NOW HIRING)

Ohalo

Quantitative Geneticist

South San Francisco, CA · On-site

South San Francisco, CA Time Type: Full Time The Opportunity At Ohalo, we are building the future ... You will be at the nexus of genetics, data science, and engineering, designing the predictive ...

Ohalo

Quantitative Geneticist

San Francisco, CA · On-site +1

South San Francisco, CA Time Type: Full Time The Opportunity At Ohalo, we are building the future ... You will be at the nexus of genetics, data science, and engineering, designing the predictive ...

Osaic

Quantitative Analyst II

Scottsdale, AZ · Hybrid

$70K - $75K/yr

Role Type: Full time Salary: $70,500 - $75,000 per year + annual performance based bonus Actual ... a disability), genetic information, race, religion or belief, sexual orientation, skin color ...

Osaic

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

Role Type: Full-time, Exempt Salary: $85,000 - $99,000 per year + annual performance-based bonus ... a disability), genetic information, race, religion or belief, sexual orientation, skin color ...

Jefferies

Equity Derivatives Quant VP/SVP

Manhattan, NY · On-site

$175K - $300K/yr

We are seeking a highly skilled quantitative professional at the VP/SVP level to join our Equity ... Primary Location Full Time Salary Range of $175,000 - $300,000. #LI-DNI About Us Jefferies is a ...

Jefferies

Equity Derivatives Quant VP/SVP

Manhattan, NY · On-site

$175K - $300K/yr

We are seeking a highly skilled quantitative professional at the VP/SVP level to join our Equity ... Primary Location Full Time Salary Range of $175,000 - $300,000. #LI-DNI Jefferies is a leading ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

... pregnancy, ethnicity, genetic information or any other protected categories under applicable ... Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include ...

Netflix

Quantitative Researcher, Commerce Product

$220K - $360K/yr

Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ... genetic makeup, marital status, or military service. Job is open for no less than 7 days and will ...

Netflix

Quantitative Researcher, Commerce Product

$220K - $360K/yr

Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ... genetic makeup, marital status, or military service. Job is open for no less than 7 days and will ...

Jefferies

SVP, Equity Derivatives Risk Quant

Manhattan, NY · On-site

$200K - $250K/yr

Collaborate with Market Risk, Credit Risk, SIMM, and Quantitative Risk Development teams to ensure ... Primary Location Full Time Salary Range of $200,000 - $250,000. About Us Jefferies is a leading ...

Jefferies

SVP, Equity Derivatives Risk Quant

Manhattan, NY · On-site

$200K - $250K/yr

Collaborate with Market Risk, Credit Risk, SIMM, and Quantitative Risk Development teams to ensure ... Primary Location Full Time Salary Range of $200,000 - $250,000. Jefferies is a leading global, full ...

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All JobsQuantitative Genetics JobsFull Time Quantitative Genetics Jobs

Full Time Quantitative Genetics information

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$31K

$90.6K

$146K

How much do full time quantitative genetics jobs pay per year?

As of Jul 7, 2026, the average yearly pay for full time quantitative genetics in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are full time quantitative genetics jobs?

Full time quantitative genetics jobs involve applying statistical and mathematical methods to study the genetic basis of traits in plants, animals, or humans. Professionals in these roles analyze large datasets to identify genetic variations linked to specific traits, predict breeding outcomes, and improve genetic selection strategies. These positions are commonly found in academia, agriculture, biotechnology, and pharmaceutical industries. Typical responsibilities include data analysis, developing genetic models, conducting experiments, and collaborating with interdisciplinary teams.

What are the key skills and qualifications needed to thrive as a Full Time Quantitative Geneticist, and why are they important?

To thrive as a Full Time Quantitative Geneticist, you need a solid background in genetics, statistics, and data analysis, typically supported by an advanced degree such as a PhD in genetics, animal breeding, or a related field. Familiarity with statistical software (e.g., R, SAS), genetic analysis tools (e.g., ASReml, BLUPF90), and experience with large-scale genomic datasets are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish top performers in this field. These competencies are critical for designing and interpreting complex genetic studies that drive advancements in breeding programs and genetic research.

What are some common challenges faced by professionals in full-time quantitative genetics roles?

Professionals in full-time quantitative genetics often face challenges such as managing large and complex datasets, keeping up with rapidly evolving statistical methods, and integrating diverse sources of biological data. Collaborating across multidisciplinary teams—including geneticists, statisticians, and computational biologists—is essential for success but can also require strong communication skills. Additionally, staying current with new computational tools and software is important for effective data analysis and research advancement.

What is the difference between Full Time Quantitative Genetics vs Quantitative Geneticist?

AspectFull Time Quantitative GeneticsQuantitative Geneticist
CredentialsTypically requires a PhD in genetics, biology, or related fieldsOften holds a PhD or Master's in genetics, biology, or statistics
Work EnvironmentResearch labs, universities, biotech companiesResearch institutions, agricultural companies, biotech firms
Industry UsageUsed broadly in academia and industry for research and developmentFocused on applying genetic principles to improve crops, livestock, or health

Full Time Quantitative Genetics refers to a role involving comprehensive research and analysis in genetics, often requiring advanced degrees. Quantitative Geneticist is a related position with similar credentials, primarily applying genetic models to practical problems in agriculture or health. Both roles share work environments and industry usage but differ mainly in scope and focus.

More about Full Time Quantitative Genetics jobs
What cities are hiring for Full Time Quantitative Genetics jobs? Cities with the most Full Time Quantitative Genetics job openings:
What are the most commonly searched types of Quantitative Genetics jobs? The most popular types of Quantitative Genetics jobs are:
What states have the most Full Time Quantitative Genetics jobs? States with the most job openings for Full Time Quantitative Genetics jobs include:
What job categories do people searching Full Time Quantitative Genetics jobs look for? The top searched job categories for Full Time Quantitative Genetics jobs are:
Full Time Quantitative Genetics jobs near you
Infographic showing various Full Time Quantitative Genetics job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Geneticist

Ohalo

South San Francisco, CA • On-site

Full-time

Posted 16 days ago

Job description

Position Title: Quantitative Geneticist, Predictive Breeding
Location: South San Francisco, CA
Time Type: Full Time
The Opportunity
At Ohalo, we are building the future of agriculture with our breakthrough Boosted breeding technology. We are seeking a visionary and hands-on Quantitative Geneticist to be a principal architect of the computational engine that drives our entire crop improvement strategy.
This isn't a typical modeling role. You will be at the nexus of genetics, data science, and engineering, designing the predictive systems that guide our breeding decisions. You will build and deploy everything from genomic selection models to sophisticated simulations that chart the course of our breeding portfolio. If you are driven to solve complex problems and want to see your code and models directly translate into real-world genetic gain, this is a unique opportunity to make a foundational impact.
Responsibilities
As a key member of our technical team, your responsibilities will be organized around three core pillars:
1. Core Predictive Science
  • Genomic Prediction & GWAS: Design, build, and validate the primary statistical models (e.g., GBLUP, ssGBLUP, GWAS) that form the foundation of our predictive capabilities, translating genotype and phenotype data into actionable insights.
  • Breeding Simulation: Evolve our in-house breeding simulation platform to run complex, large-scale scenarios. Your models will answer critical strategic questions about resource allocation, risk management, and the optimal path to achieve our breeding objectives.

2. Strategic Decision Modeling
  • Pipeline Optimization: Move beyond prediction to prescription. Design and implement online optimization models (e.g., using multi-armed bandits, online learning, metaheuristics) to create a self-improving system that dynamically allocates resources and maximizes the rate of genetic improvement.
  • Portfolio Management & Utility: Develop and integrate multi-trait utility functions that align our selection strategy with market needs and product profiles. You will help manage the entire breeding portfolio as a strategic asset.

3. Innovation & Collaboration
  • Accelerate Research with AI: Act as a force multiplier by leveraging modern AI tools across the research lifecycle. This includes using LLMs for hypothesis generation, pioneering the use of genomic foundation models (e.g., Evo2), and using AI-assisted tools to write, debug, and document production-quality code.
  • Drive Cross-Functional Impact: Serve as a critical scientific partner to domain experts (breeders, plant scientists), Machine Learning Engineers (MLEs), and Data Engineers (DEs). Proactively translate breeding objectives into modeling requirements and ensure your solutions are seamlessly integrated into our operational workflows.
  • Uphold Statistical Rigor: Collaborate with fellow quantitative scientists to champion statistical integrity across the organization, from experimental design to model validation and interpretation.
Candidate Profile
  • Education: M.S. or Ph.D. in Quantitative Genetics, Statistical Genetics, Plant Breeding, Biostatistics, Operations Research, or a related computational field.
  • Core Experience: 5+ years of hands-on experience applying quantitative principles in a research or industry setting. A strong portfolio of projects demonstrating the application of predictive modeling and/or simulation is highly desired.
  • Programming Excellence:
    • Expert-level proficiency in Python and its scientific computing stack (e.g., NumPy, SciPy, Pandas, Scikit-learn). Demonstrable experience building modular, testable, and maintainable code is essential.
    • Hands-on experience using generative AI tools (e.g., GitHub Copilot) to accelerate the development of scientific code.
  • Statistical Modeling Expertise:
    • Deep theoretical and practical understanding of mixed models for genetic evaluation (e.g., GBLUP, ssGBLUP).
    • Proven experience with Bayesian statistics, applying methods such as Bayesian GBLUP, hierarchical models, and clustering using MCMC or variational inference.
    • Familiarity with decision theory and online optimization frameworks (e.g., multi-armed bandits, Thompson sampling) for resource allocation.
    • Experience with or interest in applying genomic foundation models (e.g., Evo2, other LLM-like architectures) to learn from large-scale sequence data.
    • Experience with machine learning algorithms (e.g., XGBoost, Ridge Regression) as applied to genomic data.
  • Collaboration & Communication: A proven ability to work effectively in a cross-functional team. You must be able to translate complex technical and scientific concepts for different audiences and work collaboratively to turn models into real-world impact.
  • Genomic Data Acumen: Experience handling and processing large-scale genomic datasets (e.g., SNP arrays, sequencing data) is required.
  • Bonus Points For:
    • Proficiency in R, particularly for reading and translating legacy statistical models (e.g., brms, sommer, ASReml).
    • Experience with workflow management tools (e.g., Nextflow, Snakemake).
    • Familiarity with cloud computing environments (GCP, AWS) and data warehousing technologies (e.g., BigQuery).
    • Knowledge of polyploid genetics and modeling.

The anticipated pay range for this role is $150,000 - $200,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location.
About Ohalo:
Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit www.ohalo.com.
Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application.
Ohalo is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Ohalo is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
No visa sponsorship is available for this position at this time.
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