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Statistical Genetics Jobs in Houston, TX (NOW HIRING)

AD Scientific Innovation

Houston, TX ยท On-site

$140 - $180/hr

Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology. * Experience developing production-grade bioinformatics pipelines and software platforms. * Excellent ...

Postdoctoral Fellow - Genetics

Houston, TX ยท On-site

$64K - $76K/yr

... statistical skills when appropriate, and drive projects toward publication. We are particularly ... genetic information, or any other basis protected by institutional policy or by federal, state or ...

... statistical skills when appropriate, and drive projects toward publication. We are particularly ... genetic information, or any other basis protected by institutional policy or by federal, state or ...

Postdoctoral Fellow - Genetics

Houston, TX ยท On-site

$64K - $76K/yr

... statistical skills when appropriate, and drive projects toward publication. We are particularly ... genetic information, or any other basis protected by institutional policy or by federal, state or ...

Head of Lab Technology Platforms

Houston, TX ยท On-site

$97K - $127K/yr

... Baylor Genetics' laboratory technology infrastructure. This role will focus on optimizing ... statistical modeling, and performance monitoring. * Assist in deploying cloud-based solutions for ...

Postdoctoral Fellow - Genetics

Houston, TX ยท On-site

$64K - $76K/yr

The fellow will acquire skills in hypothesis-driven research, statistical analysis, scientific ... genetic information, or any other basis protected by institutional policy or by federal, state or ...

Head of Lab Technology Platforms

Houston, TX ยท On-site

$200 - $250/hr

AVPLA002392 * Full-Time * On-site Locations Showing 1 location Headquarters Baylor Genetics Houston ... statistical modeling, and performance monitoring. * Assist in deploying cloud-based solutions for ...

Automation Engineer II

Houston, TX ยท On-site

$90 - $110/hr

Headquarters Baylor Genetics Houston, TX 77021, USA Description KEY RESPONSIBILITIES ... Understanding of basic statistical concepts, including accuracy, precision, variability, and trend ...

Adhere to the Code of Conduct as outlined in Baylor Genetics' Compliance Program. QUALIFICATIONS ... Understanding of basic statistical concepts, including accuracy, precision, variability, and trend ...

Postdoctoral Fellow - Biostatistics

Houston, TX ยท On-site +1

$64K - $76K/yr

The primary research focus will be on developing novel statistical methodologies and software for ... genetic information, or any other basis protected by institutional policy or by federal, state or ...

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Statistical Genetics information

See Houston, TX salary details

$64.6K

$85.6K

$102.1K

How much do statistical genetics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for statistical genetics in Houston, TX is $85,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $101,200.00 per year, depending on experience, location, and employer.

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 Houston, TX?

For Statistical Genetics jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Statistical Genetics jobs in Houston, TX look for?

The top searched job categories for Statistical Genetics jobs in Houston, TX are:

Infographic showing various Statistical Genetics job openings in Houston, TX as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $85,621 per year, or $41.2 per hour.

$150 - $210/hr

Other

Re-posted 4 days ago


Job description

The Associate Director of Bioinformatics Innovation is responsible for driving the strategic vision, innovation roadmap, and execution of next-generation bioinformatics technologies that enable breakthrough products in genomics, precision medicine, molecular diagnostics, and AI-driven healthcare. This role combines scientific innovation,, computational expertise, and cross-functional collaboration to transform emerging technologies into scalable clinical and commercial solutions. THIS Can be REMOTE or Hybrid

The successful candidate will lead innovation initiatives across computational biology, machine learning, genomics, cloud computing, and software platforms while partnering closely with R&D, Bioinformatics R&D and Software Engineering and Business Development teams.

KEY RESPONSIBILITIES
  • Define and execute the bioinformatics innovation ideas.
  • Identify emerging technologies in bioinformatics, multi-omics, AI, and digital health.
  • Evaluate novel computational methods and translate cutting-edge research into commercially viable products.
  • Partner with cross-functional teams to translate innovative computational solutions into prototypes.
  • Support product roadmap planning and technology transfer.
  • Evaluate external technologies, open-source platforms, strategic partnerships, and licensing opportunities.
  • Foster a culture of innovation, collaboration, scientific excellence, and continuous learning.
QUALIFICATIONS Required
  • Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or related field.
  • 8 years of experience in bioinformatics, computational biology, or genomics.
  • 3 years of experience managing and leading a team, including direct people management responsibilities.
  • Familiarity with modern programming languages such as Python, R, C++, or Java.
  • Demonstrated success leading innovative computational solution development.
  • Deep knowledge of genomics, NGS analysis, statistical genetics, and computational biology.
  • Experience developing production-grade bioinformatics pipelines and software platforms.
  • Excellent communication and presentation skills.
Preferred:
  • Strong understanding of machine learning and AI applications in life sciences.
  • Experience working in multidisciplinary teams.
  • Experience with cloud computing platforms (AWS, Azure, or Google Cloud).
  • Experience with large-scale genomic databases and real-world clinical data.
  • Track record of patents, publications, or successful product launches.
COMPETENCIES
  • Strategic Thinking
  • Scientific Excellence
  • Cross-functional Collaboration
PHYSICAL DEMANDS AND WORK ENVIRONMENT
  • Frequently required to sit, talk, and hear.
  • Regular use of computer, keyboard, and standard office equipment.
  • May be required to manage multiple competing priorities in a fast-paced environment.
EEO STATEMENT

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.

EEO STATEMENT

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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