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Freelance Genomics Data Scientist Jobs (NOW HIRING)

In this role you will work with population-scale genomic datasets from our on-market commercial ... Ph.D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer ...

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How much do freelance genomics data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for freelance 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 freelance genomics data scientist?

A Freelance Genomics Data Scientist is an independent professional who analyzes and interprets large-scale genetic data for clients or organizations on a project basis. They use computational tools and statistical methods to uncover insights from genomics datasets, such as DNA sequences, gene expression profiles, or genetic variants. Their work often involves collaborating with researchers, biotech companies, or healthcare organizations to support research, diagnostics, or personalized medicine. By working freelance, they have the flexibility to take on diverse projects across different sectors.

How do freelance genomics data scientists typically collaborate with research teams and clients while working remotely?

Freelance Genomics Data Scientists often work closely with multidisciplinary teams, including bioinformaticians, laboratory researchers, and clinical staff. Collaboration is usually managed through regular virtual meetings, shared project management tools, and cloud-based data platforms to ensure seamless communication and data sharing. Freelancers are expected to provide clear updates, interpret complex genomic data, and adapt to the workflows of various clients. Building strong relationships and maintaining transparency are key to success in this remote, project-based environment.

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

A Freelance Genomics Data Scientist needs a strong background in bioinformatics, statistics, and genomics, often supported by a degree in a related field and experience handling large biological datasets. Proficiency with programming languages like Python or R, familiarity with tools such as Bioconductor, and experience using cloud computing platforms are typically required. Excellent problem-solving abilities, communication skills, and the ability to manage time effectively are vital soft skills for collaborating remotely and delivering results to diverse clients. These competencies ensure accurate data analysis, effective client communication, and the ability to adapt to evolving project requirements in the fast-paced genomics industry.
More about Freelance Genomics Data Scientist jobs
What cities are hiring for Freelance Genomics Data Scientist jobs? Cities with the most Freelance 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 Freelance Genomics Data Scientist jobs? States with the most job openings for Freelance Genomics Data Scientist jobs include:
Infographic showing various Freelance Genomics Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% 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

Posted 22 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

184th of 616 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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