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Computational Genetic Jobs (NOW HIRING)

Tempus

Senior Computational Biologist I

New York, NY · On-site

$115K - $175K/yr

Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis * Computational skills using R ...

University of Alabama at Birmingham

$85K - $139K/yr

- COMPUTATIONAL SCIENTIST (T238342) COMPUTATIONAL SCIENTIST - ( T238342 ) Description COMPUTATIONAL ... genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits ...

UAB NOVA RENT

COMPUTATIONAL SCIENTIST

Birmingham, AL · On-site

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits ...

UAB NOVA RENT

COMPUTATIONAL SCIENTIST

Birmingham, AL · On-site

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits ...

UAB

COMPUTATIONAL SCIENTIST

Tampa, FL

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits ...

UAB

COMPUTATIONAL SCIENTIST

Tampa, FL

$85K - $139K/yr

COMPUTATIONAL SCIENTIST University of Alabama at Birmingham The Department of Anesthesiology and ... genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits ...

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Computational Genetic information

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$74

How much do computational genetic jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for computational genetic in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are popular job titles for Computational Genetic?

Popular job titles for Computational Genetic:

Computational Biologist - Quantitative Methods & Target Discovery

Indianapolis, IN • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

The Opportunity (Individual Contributor; Boston or Indianapolis)Responsibilities:
  • Independently design and implement end-to-end analyses of spatial and single-cell transcriptomic, proteomic, and metabolomic datasets, plus functional genomics workstreams.
  • Integrate results across modalities and with genetic evidence to build convergent frameworks for target prioritization.
  • Develop predictive models to score targets, distinguish association from mechanism, and provide confidence measures to inform portfolio decisions.
  • Advance quantitative toolkit: introduce ML/AI, knowledge graphs, Bayesian methods, and causal modeling where applicable.
  • Build scalable pipelines to preprocess, QC, harmonize, and integrate large-scale spatial and molecular omics datasets.
  • Perform hands-on functional genomics analyses (CRISPR screens, perturb-seq, high-content perturbation readouts) and integrate with transcriptomic/proteomic/pathway data for prioritization.
  • Collaborate cross-functionally to frame questions, translate computational outputs into discovery decisions, and co-develop models for drug discovery.
  • Champion standards for analytical rigor, reproducibility, and documentation; advise peers through reviews and shared problem-solving.
What You BringMinimum requirements:
  • Ph.D. in computational biology, biostatistics, biological engineering, systems biology, applied mathematics, or quantitative life science; training/research combining analytical method development (Bayesian approaches, AI/ML, etc.) with applied multi-omics, spatial omics, or functional genomics.
Preferred:
  • 2+ years post-doc or biopharma/biotech experience.
  • Experience with spatial omics, single-cell RNA-seq, proteomics, metabolomics, or multi-omics integration.
  • Proficiency in Python and/or R; solid software practices and scientific computing libraries.
  • Familiarity with workflow orchestration (e.g., Nextflow) and cloud-native environments.
  • Experience with at least two: Bayesian methods, causal modeling, knowledge graphs, ML/AI for target discovery, causal inference, or large-scale functional genomics.
Benefits (as stated):
  • Company bonus (company and individual performance dependent).
  • Comprehensive benefits: 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance/death benefits, time off/leave, and well-being benefits.
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