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Statistical Genetics Jobs in Houston, TX (NOW HIRING)

CEMEX, Inc.

ANALYST SUPPLY CHAIN

Houston, TX · On-site

$70 - $100/hr

Maintain, test and improve statistical forecasting levels and models to continuously improve ... genetic information, marital or familial status, military or veteran status, or any other ...

CEMEX

ANALYST SUPPLY CHAIN

Houston, TX · On-site

Maintain, test and improve statistical forecasting levels and models to continuously improve ... genetic information, marital or familial status, military or veteran status, or any other ...

CEMEX

ANALYST SUPPLY CHAIN

Houston, TX · On-site

Maintain, test and improve statistical forecasting levels and models to continuously improve ... genetic information, marital or familial status, military or veteran status, or any other ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site

$64K - $76K/yr

Research areas of interest include but are not limited to; development of statistical methods for ... genetic information, or any other basis protected by institutional policy or by federal, state or ...

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All JobsStatistical Genetics JobsStatistical Genetics Jobs in Houston, TX

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 6, 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:

Statistical Genetics jobs near you
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.

Postdoctoral Associate - Cancer Epidemiology

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 11 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

191st of 631 rated colleges and universities

Job description

Summary

The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position for our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics. 

Job Duties
  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research questions.
  • Uses state-of-the-art bioinformatical and statistical tools
  • Develops new statistical methods to answer biological questions that arise in the research.
  • Prepares manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Ensures compliance with institutional, sponsor and data security guidelines for handling sensitive genomic and clinical data.
  • Conducts advanced analysis of large-scale biomedical and population health datasets to support ongoing research within the section.
  • Collaborates with multidisciplinary teams, including faculty investigators, statisticians, clinicians, and trainees, in a highly team-oriented research environment.
  • Participates in the Section's sponsored training program by contributing to collaborative projects, mentoring trainees, and engaging in programmatic activities such as seminars, workshops, and collaborative research initiatives.
  • Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Ph.D. in Epidemiologists or Bioinformaticians or M.D.s/DVMs with related experience.
  • Has the ability to work in a team environment.
  • Experience with next generation sequencing data analysis is a plus.
  • Knowledge in cancer biology or genetics is preferable.
  • Excellent writing skills in English. 

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