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Genomics Jobs (NOW HIRING)

Transportation Reimbursement Account (TRN) Axle is seeking a Genomics Technician to join our vibrant team at the National Institutes of Allergy and Infectious Diseases (NIAID) supporting the Center ...

Transportation Reimbursement Account (TRN) Axle is seeking a Genomics Technician to join our vibrant team at the National Institutes of Allergy and Infectious Diseases (NIAID) supporting the Center ...

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Genomics information

What are the key skills and qualifications needed to thrive in the Genomics position, and why are they important?

To thrive in a Genomics role, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science and relevant laboratory experience. Proficiency with genomic sequencing platforms (such as Illumina or Oxford Nanopore), data analysis software, and experience with databases like NCBI or Ensembl are commonly required. Critical thinking, attention to detail, and collaborative communication are essential soft skills for interpreting complex data and working within multidisciplinary teams. These competencies are important for ensuring accurate genetic analysis, driving research projects, and making meaningful scientific contributions.

What is a Genomics job?

A genomics job involves studying an organism's entire genetic makeup to understand gene functions, interactions, and variations. Professionals in this field work in research, healthcare, pharmaceuticals, or biotechnology, using advanced tools like sequencing technologies and bioinformatics. Their work can help in disease research, precision medicine, agriculture, and evolutionary biology. Common roles include genomic scientists, bioinformaticians, and clinical geneticists.

What are typical daily responsibilities for someone working in Genomics?

Professionals in Genomics typically spend their days designing experiments, preparing and processing biological samples, and conducting analyses using high-throughput sequencing technologies. They also interpret large datasets using specialized bioinformatics tools, prepare reports or present findings to stakeholders, and collaborate with other scientists such as clinicians, computational biologists, or data analysts. The work environment can be a mix of laboratory work and computational data analysis, depending on the specific position. Regular team meetings and collaboration are common, especially in research or clinical settings where interdisciplinary problem-solving is essential.

What cities are hiring for Genomics jobs? Cities with the most Genomics job openings:
What are the most commonly searched types of Genomics jobs? The most popular types of Genomics jobs are:
What states have the most Genomics jobs? States with the most job openings for Genomics jobs include:
Infographic showing various Genomics job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Postdoctoral Associate Position - Functional Genomics / Regulatory Genomics / Human Evolution & D...

Postdoctoral Associate Position - Functional Genomics / Regulatory Genomics / Human Evolution & D...

Yale University

New Haven, CT • On-site

Full-time

Posted 21 days ago


Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

40th of 535 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.

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