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Full Time Deep Genomics Jobs (NOW HIRING)

University of Rochester

$27.16 - $38.03/hr

Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400855 Ctr for Advanced ... Provides technical and operational support for genomics research projects conducted through the ...

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Full Time Deep Genomics information

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$33.5K

$90.8K

$135.5K

How much do full time deep genomics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time deep genomics in the United States is $90,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Deep Genomics vs Data Scientist?

AspectFull Time Deep GenomicsData Scientist
Required CredentialsAdvanced degree in bioinformatics, genetics, or related field; experience with genomics dataDegree in computer science, statistics, or related field; experience with data analysis
Work EnvironmentBiotech or pharmaceutical company focusing on genomics and drug discoveryVarious industries including tech, finance, healthcare; often in office settings
Employer & Industry UsagePrimarily in biotech, pharma, and genomics researchAcross multiple sectors including tech, finance, healthcare

Full Time Deep Genomics roles focus on applying genomics expertise to drug discovery, requiring specialized knowledge in genetics and bioinformatics. Data Scientists work across industries analyzing large datasets, often with different technical skills. While both roles involve data analysis, their industry focus and required credentials differ significantly.

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What are the most commonly searched types of Deep Genomics jobs?

The most popular types of Deep Genomics jobs are:

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Full Time Deep Genomics jobs near you
Infographic showing various Full Time Deep Genomics job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $90,829 per year, or $43.7 per hour.

Deep Learning Expert/Developer (On-site)

Ripple Effect

Bethesda, MD • On-site

$90K - $103K/yr

Full-time

Posted 28 days ago

Job description

General Information
  • Job Code: SHR-BI-03
  • Location: NIH Campus onsite, with ad-hoc telework
  • Employee Type: Exempt, Full-Time Regular
  • Clearance: Must be able to work in the U.S. without employer sponsorship
  • Salary Range: $90,267-$103,808 (how we pay and promote)

Position Overview
Are you passionate about turning complex data into meaningful insights? As a Deep Learning Developer on the Ripple Effect team, you will play a pivotal role in shaping our success in this important role with the NIH! Your work will directly impact the Lister Hill Center's work. This position involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction. The role focuses on the development of tools for retinal disease detection, severity classification, disease progression prediction, and more. The ideal candidate will have a strong background in deep learning, particularly for medical image analysis, and experience with high-performance computing environments.
While not an exhaustive list, the key duties for the position include:
    • Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data, and clinical records.
    • Develop algorithms for disease detection, severity classification, and longitudinal progression prediction, focusing on retinal diseases as well as other patient data.
    • Build and optimize deep learning tools for deployment on Android/iOS/Web-based platforms.
    • Other related duties as assigned.

Requirements
Minimum Qualifications
  • Master's degree
  • 5 or more years of experience in image analysis, machine learning, and deep learning

Basic Requirements
    • Proven experience writing manuscripts or papers for journals and conferences.
    • Extensive experience with medical image processing, data analysis, and classification techniques.
    • Expertise in developing custom deep learning workflows, including visualizing activations.
    • Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
    • Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
    • Experience in statistical analysis of experimental results.
    • Familiarity with Linux and Windows environments.
    • Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
    • Expertise in programming with Python, Keras, and PyTorch.
    • Experience in developing Android, iOS, or web applications.
    • Must reside within a commutable distance from the NIH main campus in Bethesda, MD, and be willing to report on site on a daily basis for this role.

Skills That Set You Apart
  • PhD in computer science, computer engineering, or relevant field
  • Familiarity with Linux and Windows environments.
  • Intermediate experience with (levels 03+) Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint.
  • Intermediate experience with workplace AI tools, including their limitations and risks, and how they can be applied to support project management tasks.

About Ripple Effect
Ripple Effect is a woman-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the "Best and Brightest Companies to Work For" in 2024 and 2025 by the NABR, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors.
Benefits
At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences.
Learn more about our benefits and culture here.

Apply