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Atlas Genomics Jobs (NOW HIRING)

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

Contribute to the curation and expansion of the Drug-Gene Atlas: ensure that data inputs are well ... PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ...

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

Create a comprehensive, experimentally validated functional atlas of mitochondrial microproteins ... Functional genomics: CRISPR/Cas9 or baseediting screens, highthroughput reporter assays.

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

Create a comprehensive, experimentally validated functional atlas of mitochondrial microproteins ... Functional genomics: CRISPR/Cas9 or baseediting screens, highthroughput reporter assays.

University of Utah

Post Doc Res Assoc

Campus, IL

$65K - $73K/yr

Create a comprehensive, experimentally validated functional atlas of mitochondrial microproteins ... Functional genomics: CRISPR/Cas9 or baseediting screens, highthroughput reporter assays.

Arc Institute

Full Stack Engineer

Palo Alto, CA · On-site +1

$133K - $165K/yr

You'll own and develop platforms that Arc's researchers rely on daily, from genomics submission ... Atlas and other research programs * Build tooling and infrastructure to support Arc's ML ...

Arc Institute

Full Stack Engineer

Palo Alto, CA · On-site

$133K - $165K/yr

You'll own and develop platforms that Arc's researchers rely on daily, from genomics submission ... Atlas and other research programs * Build tooling and infrastructure to support Arc's ML ...

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Atlas Genomics information

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$28K

$89.6K

$176.5K

How much do atlas genomics jobs pay per year?

As of Jun 29, 2026, the average yearly pay for atlas genomics in the United States is $89,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is Atlas Genomics and what do they do?

Atlas Genomics is a clinical laboratory company specializing in advanced genomic testing and molecular diagnostics. They provide healthcare providers with innovative testing services, such as genetic screening, infectious disease diagnostics, and personalized medicine solutions. Their laboratory uses state-of-the-art technology to deliver fast, accurate results that help guide patient care and treatment decisions. Atlas Genomics also partners with medical professionals to ensure that testing is clinically relevant and easy to integrate into practice.

What are the typical responsibilities of a laboratory technologist at Atlas Genomics, and how do they collaborate with other teams?

At Atlas Genomics, laboratory technologists are primarily responsible for processing and analyzing genetic samples using advanced molecular techniques such as PCR and next-generation sequencing. They work closely with the quality assurance team to ensure data accuracy and compliance with regulatory standards. Collaboration with bioinformatics specialists and clinical coordinators is frequent, as technologists provide crucial data that informs diagnostic reports and research initiatives. The lab environment is fast-paced, requiring strong communication skills and the ability to adapt to evolving technologies and protocols.

What are the key skills and qualifications needed to thrive as a Genomics Laboratory Technician, and why are they important?

To thrive as a Genomics Laboratory Technician, you need a solid background in molecular biology, genetics, and laboratory techniques, typically supported by a degree in a life science field. Familiarity with next-generation sequencing (NGS) platforms, laboratory information management systems (LIMS), and relevant certifications such as ASCP can be highly beneficial. Attention to detail, strong problem-solving abilities, and effective teamwork are crucial soft skills for this role. These competencies ensure accuracy, efficiency, and reliability in processing and analyzing complex genomic data, which is vital for high-quality laboratory results.

What is the difference between Atlas Genomics vs Genetic Technician?

AspectAtlas GenomicsGenetic Technician
Required CredentialsTypically requires a bachelor's degree in genetics, biology, or related fieldUsually requires an associate degree or bachelor's in genetics or biology
Work EnvironmentLaboratories, research facilities, healthcare settingsLaboratories, hospitals, research institutions
Industry UsageResearch, diagnostics, biotech companiesClinical labs, research, healthcare providers

Atlas Genomics and Genetic Technicians both work in genetics-related fields, often in laboratory settings. While Atlas Genomics may focus more on research and advanced genetic analysis, Genetic Technicians typically perform routine testing and sample processing. Both roles require relevant education and are integral to genetic research and diagnostics, but Atlas Genomics often involves more specialized tasks and higher-level responsibilities.

More about Atlas Genomics jobs
What states have the most Atlas Genomics jobs? States with the most job openings for Atlas Genomics jobs include:
What job categories do people searching Atlas Genomics jobs look for? The top searched job categories for Atlas Genomics jobs are:
Atlas Genomics jobs near you
Infographic showing various Atlas Genomics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,647 per year, or $43.1 per hour.
Postdoctoral Fellow in Pre-Cancer Atlas (Santagata Lab)

Postdoctoral Fellow in Pre-Cancer Atlas (Santagata Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Posted 12 days ago

Key responsibilities

  • Conduct research on the earliest stages of high-grade serous ovarian cancer by integrating spatial multi-omic profiling with computational analysis.

  • Lead independent projects to define biological transitions in precancerous lesions and develop integrative computational models of early disease states.

  • Contribute to grant and manuscript writing, mentor junior trainees, and participate in a collaborative interdisciplinary research environment.

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

133rd of 541 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Fellow in Pre-Cancer Atlas (Santagata Lab)
School
Harvard Medical School
Department/Area
Harvard Program in Therapeutic Science
Position Description
We invite applications for a postdoctoral fellow position in the Santagata Lab at Harvard Medical School in Boston, Massachusetts, focused on the Gray Foundation BRCA Pre-Cancer Atlas initiative.
This project is centered on understanding the earliest stages of high-grade serous ovarian cancer (HGSOC) by integrating spatial multi-omic profiling with computational analysis to define how precancerous lesions evolve into invasive disease. The work aims to move beyond descriptive atlases toward identifying the biological states and transitions that determine when a lesion becomes dangerous and where intervention is possible.
Recent work from this program includes two key studies in Cancer Discovery that define the molecular and spatial progression of ovarian cancer precursors. One study used multimodal spatial profiling to reveal a transition from immune surveillance to immune suppression during progression from early lesions to cancer (Kader et al., Cancer Discovery 2025). A second study developed ORION-FISH, a method that integrates chromosomal copy-number alterations with protein-defined cell states in intact tissue, linking early genomic changes (e.g., MYC, CCNE1 gains) to local immune microenvironments at single-cell resolution. Together, these studies establish a framework for understanding how genomic, immune, and microenvironmental factors interact during the earliest phases of tumor evolution.
The successful candidate will work with Dr. Santagata and collaborators across Harvard Medical School, Dana-Farber Cancer Institute, and the University of Pennsylvania to define the next phase of the Pre-Cancer Atlas and translate its insights into clinically actionable strategies. Ongoing efforts focus on building an integrated, multi-modal map of early ovarian cancer evolution using CyCIF, ORION, GeoMx, and Xenium; establishing direct links between genomic alterations, epithelial cell states, and immune microenvironments; and identifying the biological transitions that mark the shift from benign or indolent lesions to high-risk, intervention-relevant states.
A central goal of the program is to move beyond cataloging features to discovering the rules that govern progression and vulnerability - including how early chromosomal instability, immune remodeling, and metabolic stress interact within intact tissue architecture. These insights are being leveraged to develop image-based and molecular biomarkers for early detection, risk stratification, and therapeutic interception, with direct paths toward clinical translation.
The fellow will have the opportunity to lead independent, high-impact projects within this framework, including defining new biological axes of progression, developing integrative computational models of early disease states, and contributing to the design of next-generation diagnostic and intervention strategies. In addition to conducting research, the fellow will be expected to contribute to grant and manuscript writing, mentor junior trainees, and participate in a highly collaborative, interdisciplinary research environment.
Basic Qualifications
  • Ph.D. or M.D./Ph.D. in cancer biology, computational biology, systems biology, bioengineering, or related fields
  • Experience or strong interest in cancer biology, tumor microenvironment, or early disease progression
  • Quantitative or computational skills are highly valued (e.g., Python/R, image analysis, genomics)

Additional Qualifications
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
Contact Information
Tyson Schrader
Contact Email
hits_hr@hms.harvard.edu
Salary Range
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required
3
Maximum Number of References Allowed
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