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Genomics Data Scientist Jobs (NOW HIRING)

This role works with large-scale clinical, imaging, pathology, molecular, genomic, and outcomes ... The AI Data Scientist works at the intersection of data science, machine learning, biomedical data ...

JOB SUMMARY The Clinical Genomics Scientist II analyzes clinical genetics data, curates variants and genes, and summarizes findings for clinical reports. Our scientists assist laboratory directors ...

Lead Scientist

Durham, NC · On-site

$120 - $170/hr

Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative ...

New

Lead Scientist

Raleigh, NC · On-site

$120 - $170/hr

Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative ...

New

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Genomics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do genomics data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for genomics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a genomics data scientist?

A Genomics Data Scientist analyzes large-scale genomic data to extract meaningful biological insights. They use statistical models, machine learning, and bioinformatics tools to study genetic variations, disease associations, and evolutionary patterns. Their work supports medical research, drug discovery, and precision medicine by translating complex genetic data into actionable knowledge. This role often involves coding in languages like Python or R, working with databases, and collaborating with biologists and clinicians.

What are the key skills and qualifications needed to thrive as a genomics data scientist?

To thrive as a Genomics Data Scientist, you need a solid background in biology, bioinformatics, statistics, and programming—typically with an advanced degree in a relevant scientific field. Proficiency with tools such as Python, R, next-generation sequencing (NGS) analysis pipelines, and experience with cloud-based data platforms and genomics databases is highly valued, and certifications in data science or bioinformatics can be advantageous. Critical thinking, strong communication, and interdisciplinary teamwork skills distinguish those who excel in this collaborative and evolving field. These core and soft skills enable accurate analysis of complex genomic data, effective collaboration with scientific and technical teams, and meaningful contributions to biomedical research and healthcare innovation.

What are some common challenges that genomics data scientists face in their daily work?

Genomics Data Scientists commonly face challenges such as handling massive and complex sequencing datasets, integrating information from various sources, and ensuring data quality and reproducibility. They often need to stay current with rapidly evolving bioinformatics tools and computational methods to interpret new types of genomic data. Collaborating across interdisciplinary teams—including biologists, clinicians, and software engineers—can require excellent communication and translation of technical insights into actionable results. Managing these challenges is rewarding, as it contributes directly to discoveries in medical research, diagnostics, and personalized medicine.

More about Genomics Data Scientist jobs

What cities are hiring for Genomics Data Scientist jobs?

Cities with the most Genomics Data Scientist job openings:

What are the most commonly searched types of Genomics Data Scientist jobs?

The most popular types of Genomics Data Scientist jobs are:

What states have the most Genomics Data Scientist jobs?

States with the most job openings for Genomics Data Scientist jobs include:

Infographic showing various Genomics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Postdoctoral Associate - Functional Genomics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 6 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

190th of 620 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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