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Statistical Genetics Jobs in Texas (NOW HIRING)

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 ...

Automation Engineer II

Houston, TX · On-site

$100 - $125/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 ...

Assistant Professor

Waco, TX · On-site

$100 - $125/hr

... genetic information, and disability. Baylor complies with statutory Aff. Duties and ... Position Qualifications Candidates must possess a doctoral degree in statistics or a related ...

Showing results 21-40

Statistical Genetics information

See Texas salary details

$61.2K

$81.1K

$96.7K

How much do statistical genetics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for statistical genetics in Texas is $81,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $95,800.00 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 Texas?

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

What job categories do people searching Statistical Genetics jobs in Texas look for?

The top searched job categories for Statistical Genetics jobs in Texas are:

What cities in Texas are hiring for Statistical Genetics jobs?

Cities in Texas with the most Statistical Genetics job openings:

Infographic showing various Statistical Genetics job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,055 per year, or $39 per hour.

Postdoctoral Fellow - Genetics

MD Anderson

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 8 days ago


MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

12th of 898 rated healthcare providers


Job description

The Trakala Lab at MD Anderson Cancer Center seeks a motivated postdoctoral fellow to study the biology of chromosomal instability (CIN) and aneuploidy in cancer, with an emphasis on immune surveillance and tumor evolution in vivo. The postdoctoral fellow will lead independent research projects using genetically engineered mouse models, organoids/tumoroids, advanced imaging, and single-cell and spatial omics approaches. Key responsibilities include experimental design and execution, data analysis and interpretation, manuscript preparation, and presentation of findings at scientific meetings.

The position offers a highly collaborative and interdisciplinary research environment with strong mentorship and opportunities for career development. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations. LEARNING OBJECTIVES The postdoctoral fellow will develop advanced expertise in studying chromosomal instability and aneuploidy in cancer using in vivo and ex vivo model systems.

Training goals include gaining proficiency in experimental design and execution with genetically engineered mouse models, organoids/tumoroids, advanced microscopy, and single-cell and spatial omics technologies, as well as rigorous data analysis and interpretation. The fellow will acquire skills in hypothesis-driven research, statistical analysis, scientific writing, and manuscript preparation, and will gain experience presenting research at national and international meetings. Additional outcomes include developing independence in project leadership, grant and fellowship writing, collaborative research, and mentoring of junior trainees, preparing the fellow for a successful career in academia, industry, or related scientific fields.

ELIGIBILITY REQUIREMENTS PhD, MD, or equivalent doctoral degree in a relevant scientific discipline (e.g., biology, biomedical sciences, engineering, computational sciences, or related fields) by the start date. Demonstrated research experience through doctoral training, with the ability to design and execute experiments and analyze and interpret data. Strong written and verbal communication skills and the ability to work both independently and collaboratively in a research environment

Candidates with training in cell biology, cancer biology, immunology, computational biology, bioengineering, or related fields are encouraged to apply; experience with mouse models and/or single-cell technologies is preferred. ADDITIONAL APPLICATION INFORMATION Trakala Lab: https://www.mdanderson.org/research/departments-labs-institutes/labs/trakala-laboratory.html POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Apply


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