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Assistant Genomics Data Scientist Jobs (NOW HIRING)

Duke University

RESEARCH TECHNICIAN I

Durham, NC · On-site

$17.50 - $24/hr

... data science approaches that help uncover biological insights from complex genomics data. Be Bold ... Yi Zhang is an Assistant Professor at Duke University School of Medicine , with faculty ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ

... and genomics. * Proficiency in Python (and/or R) for data analysis, statistical modeling, and ... Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

... and genomics. * Proficiency in Python (and/or R) for data analysis, statistical modeling, and ... Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets ... Internal, collaborative, and public databases to assist in the characterization of immune disease

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group ... Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group ... Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group ... Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic ...

Retro

Scientist, Genomics

Redwood City, CA

$43.25 - $54.25/hr

You're happiest at the bench, building assays, troubleshooting failures, and generating data. You ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Retro

Scientist, Genomics

Redwood City, CA · On-site

$130K - $170K/yr

You're happiest at the bench, building assays, troubleshooting failures, and generating data. You ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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How much do assistant genomics data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for assistant genomics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant Genomics Data Scientist, and why are they important?

To thrive as an Assistant Genomics Data Scientist, you need a background in bioinformatics, statistics, and molecular biology, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with genomic databases, and knowledge of tools like BLAST and GATK are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These competencies are essential for accurately analyzing genomic datasets and translating findings into actionable scientific insights.

What are some common challenges faced by Assistant Genomics Data Scientists when working with large-scale genomic datasets?

Assistant Genomics Data Scientists often encounter challenges related to managing and analyzing massive genomic datasets, which can require specialized computational tools and robust data storage solutions. Ensuring data quality and integrity while dealing with issues such as missing values, sequencing errors, or inconsistent formats is also common. Additionally, collaborating with interdisciplinary teams of biologists, clinicians, and senior data scientists requires strong communication skills to translate complex findings into actionable insights. Adapting to rapidly evolving technologies and staying current with best practices in bioinformatics is essential for success in this role.

What does an Assistant Genomics Data Scientist do?

An Assistant Genomics Data Scientist supports research and analysis by managing, processing, and interpreting large-scale genomic datasets. They use bioinformatics tools, statistical methods, and programming languages such as Python or R to help identify patterns and insights in genetic data. Their work often contributes to projects in healthcare, pharmaceuticals, or academic research, assisting senior scientists in making sense of complex biological information. Additionally, they may help maintain data pipelines and ensure the quality and integrity of genomic databases.
What cities are hiring for Assistant Genomics Data Scientist jobs? Cities with the most Assistant Genomics Data Scientist job openings:
What are the most commonly searched types of Genomics Data Scientist jobs? The most popular types of Genomics Data Scientist jobs are:
What states have the most Assistant Genomics Data Scientist jobs? States with the most job openings for Assistant Genomics Data Scientist jobs include:
Assistant Genomics Data Scientist jobs near you

Machine Learning Scientist / Senior Machine Learning Scientist

Calico

South San Francisco, CA

$170K - $240K/yr

Other

Posted 27 days ago

Job description

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a machine learning scientist to join a research group investigating how genome sequence determines regulatory function and how dysregulation of these programs drives aging. We develop sequence-based deep learning models that predict gene expression, chromatin accessibility, and other functional readouts directly from DNA. We use these models to interpret human genetic variation, map causal regulatory mechanisms, and identify promising intervention points.

This work builds on a sustained research program at the intersection of deep learning and regulatory genomics, including:

  • Avsec, Z. et al. Effective gene expression prediction from sequence by integrating long-range interactions. Nat Methods 18, 1196-1203 (2021).
  • Yuan, H. & Kelley, D. R. scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks. Nat Methods 19, 1088-1096 (2022).
  • Linder, J., Srivastava, D., Yuan, H., Agarwal, V. & Kelley, D. R. Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation. Nature Genetics (2025).

Additional research can be found here.

Position Responsibilities:

  • Design and train deep learning models for biological sequence analysis, with emphasis on gene regulation, single-cell genomics, and variant interpretation
  • Partner with experimental scientists to connect model predictions to biological mechanisms - designing validation experiments, analyzing large-scale genomics data, and translating computational findings into actionable biological insights
  • Communicate research through publications, open-source software, and public-facing tools

Position Requirements:

PhD in computational biology, bioinformatics, computer science, or a related field, and 0-5 years (for Scientist level) or 5+ years (for Senior Scientist level) of additional training in an industry or academic setting, with a strong publication record

  • Deep expertise in machine learning with solid grounding in algorithms, data structures, and statistics
  • Substantive knowledge of molecular biology and genetics; familiarity with genomic data types and public data resources
  • Hands-on experience analyzing genomics sequencing data, ideally including single-cell assays
  • Fluency with modern AI-assisted development and research tools (e.g., LLM-based coding assistants, literature synthesis), with a habit of proactively integrating new tools to accelerate scientific workflows
  • A collaborative disposition, strong follow-through, and comfort working at the interface of computation and experiment
  • Must be willing to work onsite at least four days per week

The estimated base salary range for this role is $170,000 - $240,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses

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