ZipRecruiter

Log In

1

Computational Genomics Jobs in Connecticut (NOW HIRING)

Fladger Associates

Scientist III

Ridgefield, CT · On-site

... genomics, statistics for big data analysis, or multi-omics data integration * Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for ...

WillHire

Scientist III

Ridgefield, CT · On-site

$110 - $170/hr

... genomics, statistics for big data analysis, or multi-omics data integration Good knowledge of existing bioinformatics databases and file formats In-depth understanding of computational methods for ...

All JobsComputational Genomics JobsComputational Genomics Jobs in Connecticut

Computational Genomics information

See Connecticut salary details

$38

$52

$70

How much do computational genomics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational genomics in Connecticut is $52.25, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $69.95 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 Connecticut?

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

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

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

Computational Genomics jobs near you
Infographic showing various Computational Genomics job openings in Connecticut as of August 2026, with employment types broken down into 1% Internship, 56% Full Time, 38% Part Time, 2% Temporary, and 3% Contract. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution, with an average salary of $108,684 per year, or $52.3 per hour.

Postdoctoral Associate Position - Functional Genomics / Regulatory Genomics / Human Evolution & Dise

Yale University

New Haven, CT • On-site

Full-time

Re-posted 6 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

70th of 622 rated colleges and universities

Job description

Description
The Reilly Lab seeks a highly motivated Postdoctoral Associate to join an interdisciplinary research program focused on understanding how genetic variants impact human health, evolution, and disease. The lab seeks to answer a fundamental question remaining in biology: "how do genetic changes lead to functional changes at the molecular, cellular, and phenotypic level?" The Reilly Lab is funded by the NIH, the Pew Charitable Trusts, and other foundations, and is an affiliate of the Impact of Genomic Variation on Function (IGVF) consortium as well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar.
The postdoctoral associate will - based on their research interest - contribute across one or more of the lab's five core themes:
  • Genomic Technology: Design and execute new, large-scale experimental screens to perturb CREs, including non-coding CRISPR screens and MPRAs.
  • Deciphering Regulatory "Grammar": Use saturation mutagenesis paired with machine-learning models to understand the rules by which CREs regulate gene expression.
  • Interrogating Genetic Architectures: Explore how combinations of variants together create a phenotype or disease state through phenotype associations and network logic models.
  • Writing Novel Genome Function: Design and validate synthetic sequences that promote cell-type-specific gene expression.
  • Exploring Evolution & Human Health: Investigate how changes in the non-coding genome shape modern human phenotypes, disease risk, and the evolution of our species, including signals of positive selection across global populations.

In addition, the postdoctoral associate will:
  • Analyze and interpret large-scale genomic, functional genomics, and population genetics datasets
  • Contribute to manuscript preparation, grant writing, and collaborative projects within the lab and across the IGVF and ENCODE consortia
  • Participate in written and oral communication of research findings
  • Prep and publish original research, including abstracts and peer-reviewed manuscripts
  • Mentor trainees (as appropriate) and participate in a highly interactive research environment

Qualifications
We're looking for inquisitive, creative, and passionate researchers with a PhD, MD, or MD/PhD (or related field such as genetics, genomics, computational biology, biochemistry, machine learning, population genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds - including those interested in human evolution, building new genomic tools, or analyzing complex data - would find a project here. Strong communication skills and the ability to work both independently and as part of a team are essential. A two-year commitment is required.
Application Instructions
Interested postdoctoral applicants should apply via Interfolio: https://apply.interfolio.com/184726 and include (1) a CV, (2) a brief description of their scientific interests and how these intersect with the lab's interests, and (3) copies of their major manuscripts.

What Yale University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply