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Computational Genomics Jobs in Texas (NOW HIRING)

Baylor Genetics

AD Scientific Innovation

Houston, TX · On-site

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

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... of Genomic Medicine. We seek a driven and technically adept Postdoctoral Fellow to develop and ... A strong computational background is required. Expertise with PyTorch and torch-geometric, or ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... of Genomic Medicine. We seek a driven and technically adept Postdoctoral Fellow to develop and ... A strong computational background is required. Expertise with PyTorch and torch-geometric, or ...

MD Anderson

Postdoctoral Fellow - Genomic Medicine

Houston, TX · On-site +1

$46K - $63K/yr

... of Genomic Medicine. We seek a driven and technically adept Postdoctoral Fellow to develop and ... A strong computational background is required. Expertise with PyTorch and torch-geometric, or ...

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How much do computational genomics jobs pay per hour?

As of Aug 13, 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 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 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 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 3% Internship, 67% Full Time, 28% Part Time, and 2% Contract. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $106,441 per year, or $51.2 per hour.

Postdoctoral Associate - Functional Genomics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Posted 28 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

188th of 618 rated colleges and universities

Job description

Postdoctoral Associate - Functional Genomics
Division: Ophthalmology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Department of Ophthalmology is seeking a Postdoctoral Associate in the human molecular genetics/genomics field for the laboratory of Dr. Rinki Ratnapriya at Baylor College of Medicine. Dr. Ratnapriya's lab focuses on harnessing the power of genomic technologies to address translational and clinical bioinformatic challenges pertaining to retinal and macular degenerative diseases. The lab is working towards understanding the role of non-coding cis-regulatory sequence variation in context of retinal diseases. The lab generates multiple high-throughput functional genomics data sets on the genome, epigenome, and transcriptome in disease-relevant tissues/cells and use of computational approaches to integrate and analyze this data to identify the molecular components and the structure of the regulatory apparatus underlying gene expression variation.
To apply for the position, qualified candidates should submit a one-page cover letter stating reasons for their scientific interest in the lab, career goals, a curriculum vitae includes technical skills, and the names and contact information of three references.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Plans, conducts and analyzes research projects.
  • Dissociates human/model organisms tissue samples and prepares them for next-generation sequencing (NGS) compatible experiments.
  • Designs, implements, and operates bioinformatics pipelines using existing analytical tools for NGS applications.
  • Applies intellectual curiosity and passion for applying data science to biomedical problems.
  • Summarizes, visualizes, and communicates research and analyses findings to principal investigator and for research publications in scientific journals.
  • Conducts laboratory operations and supervises research staff.
  • Works developing and applies genomic technologies that can aid in improving gene discovery and genetic diagnosis in retinal degenerative diseases.
  • Focuses heavily on analysis of high-throughput bulk and single-cell multi-omic data (ATAC-seq and RNA-seq) in ocular tissues.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Has strong programming (Python and R) skills and molecular biology background.
  • Demonstrates scientific productivity, rigor and creativity with a strong publication record in peer-reviewed scientific journals.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
NN; PD; SN
Requisition ID: 25590

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