ZipRecruiter

Log In

1

Computational Genomics Jobs in Texas (NOW HIRING)

next page

Showing results 1-20

All JobsComputational Genomics JobsComputational Genomics Jobs in Texas

Computational Genomics information

See Texas salary details

$38

$51

$68

How much do computational genomics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for computational genomics in Texas is $51.17, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $68.51 per hour, depending on experience, location, and employer.

What is a computational genomics job?

A Computational Genomics job involves using computational and statistical approaches to analyze genomic data. Professionals in this field develop algorithms, build models, and apply machine learning to interpret DNA sequences, gene expression, and other biological data. They work in research, healthcare, biotechnology, and pharmaceutical industries to advance precision medicine, drug discovery, and disease understanding. Strong programming skills, bioinformatics knowledge, and expertise in data analysis are essential for this role.

What does a computational genomics specialist do?

As a professional in Computational Genomics, your typical day may involve analyzing large-scale genomic datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental biologists and other computational scientists. You will often be tasked with interpreting complex biological data, troubleshooting data quality issues, and preparing detailed reports or visualizations of your findings. Additionally, you may participate in team meetings to discuss project goals, new research findings, or workflow improvements. This role requires balancing independent analysis with frequent interdisciplinary collaboration to ensure scientific projects progress efficiently.

What are the key skills and qualifications needed to thrive in computational genomics?

To thrive as a Computational Genomics professional, you need a strong background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, genomics, or computational biology. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics tools (e.g., BLAST, GATK), and platforms like Linux/UNIX is essential. Strong problem-solving abilities, effective communication, and the ability to work collaboratively with interdisciplinary teams are valuable soft skills. These abilities are crucial for accurately analyzing complex genomic data, developing robust workflows, and translating findings into actionable biological insights.

What are popular job titles related to Computational Genomics jobs in Texas?

For Computational Genomics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Computational Genomics jobs in Texas look for?

The top searched job categories for Computational Genomics jobs in Texas are:

Computational Genomics jobs near you
Infographic showing various Computational Genomics job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $106,441 per year, or $51.2 per hour.

Postdoctoral Fellow - Computational Genomics & Cancer Epidemiology

MD Anderson Cancer Center

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 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

We are seeking highly motivated postdoctoral fellows to join a multidisciplinary research program in the molecular epidemiology of lymphoid malignancies. Based in the Departments of Epidemiology and Lymphoma & Myeloma at The University of Texas MD Anderson Cancer Center, our work bridges molecular, population, and clinical research.
We investigate how inherited genetic variation, clonal hematopoiesis, and precancerous conditions influence the risk, progression, and outcomes of blood cancers, including chronic lymphocytic leukemia, multiple myeloma, and diffuse large B-cell lymphoma. By integrating germline and somatic genomic data with large-scale cohort, biobank, and clinical datasets, we identify risk factors, model disease trajectories, and develop precision tools for cancer risk prediction.
Supported by funding from the Cancer Prevention and Research Institute of Texas (CPRIT) and the National Cancer Institute, the program provides access to exceptional resources, including high-performance computing, large and diverse population datasets, and a collaborative, data-rich environment.
LEARNING OBJECTIVES
Postdoctoral fellows will work at the interface of population science, computational biology, and clinical oncology. Potential projects include:
Developing computational phenotyping methods to identify precursor conditions in large cohorts.
Characterizing clonal growth trajectories in B-cell precursors and their somatic drivers.
Investigating the combined effects of inherited and acquired genomic alterations on cancer risk and prognosis.
Fellows will be supported in developing independent research directions, publishing in high-impact journals, and presenting at national and international meetings.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations
ELIGIBILITY REQUIREMENTS
Ph.D., M.D./Ph.D., or equivalent degree in epidemiology, genetic epidemiology, bioinformatics, computational biology, or a related field.
Demonstrated experience in genomic data analysis and statistical programming (R, Python).
Interest in cancer epidemiology and early detection of lymphoid malignancies.
Strong written and oral communication skills, with a publication record.
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

What MD Anderson Cancer Center employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply