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Full Time Bioinformatics Machine Learning Jobs (NOW HIRING)

GATC Health

Bioinformatics Analyst - UT

Emeryville, CA · On-site

... with machine learning algorithms • Experience analyzing and interpreting large-scale human or ... and bioinformatics innovation Company : GATC Health uses AI to speed drug discovery, predict ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site

$110K - $150K/yr

At Freenome, we are seeking a Senior Machine Learning Scientist to help grow the Machine Learning ... Experience in NGS data analysis and bioinformatic pipelines. * Experience with containerized cloud ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site

$199K - $283K/yr

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning ... Experience in NGS data analysis and bioinformatic pipelines. * Experience with containerized cloud ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA

Experience using or interfacing with machine learning algorithms. * Experience analyzing and ... Computational biology and bioinformatics innovation. Why Join Us: • Opportunity to work at the ...

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All JobsFull Time Bioinformatics Machine Learning Jobs

Full Time Bioinformatics Machine Learning information

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$59.5K

$94.5K

$149.5K

How much do full time bioinformatics machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for full time bioinformatics machine learning in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Bioinformatics Machine Learning vs Full Time Data Scientist?

AspectFull Time Bioinformatics Machine LearningFull Time Data Scientist
Required CredentialsDegree in Bioinformatics, Computer Science, or related field; knowledge of biology and machine learningDegree in Data Science, Statistics, Computer Science, or related field; strong programming skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsTech companies, finance, consulting firms, various industries
Industry UsageBiotech, healthcare, genomicsFinance, marketing, tech, healthcare
Common Search/ComparisonYesYes

Full Time Bioinformatics Machine Learning roles focus on applying machine learning techniques to biological data, often within healthcare or biotech settings. Full Time Data Scientist positions are broader, covering various industries and data types. While both require programming and statistical skills, bioinformatics roles emphasize biological knowledge, whereas data science roles focus on diverse data applications across industries.

More about Full Time Bioinformatics Machine Learning jobs
What are the most commonly searched types of Bioinformatics Machine Learning jobs? The most popular types of Bioinformatics Machine Learning jobs are:
What job categories do people searching Full Time Bioinformatics Machine Learning jobs look for? The top searched job categories for Full Time Bioinformatics Machine Learning jobs are:
Full Time Bioinformatics Machine Learning jobs near you
Infographic showing various Full Time Bioinformatics Machine Learning job openings in the United States as of June 2026, with employment types broken down into 10% Full Time, 88% Part Time, and 2% Temporary. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Senior Scientist, Bioinformatics

Kenai Therapeutics

San Diego, CA • On-site

$140K - $155K/yr

Full-time

Posted 16 days ago

Be an early applicant

Job description

Kenai Therapeutics is seeking a skilled and versatile computational biologist to join our highly collaborative, multidisciplinary, and dynamic team advancing next-generation allogeneic cell therapies for neurological diseases. As Senior Scientist of Bioinformatics, the ideal candidate will drive computational analysis and pipeline development across CMC and research programs. This candidate brings scientific rigor, deep hands-on expertise in single-cell and multiomics analysis, and a strong foundation in statistics and machine learning to generate actionable insights that inform therapeutic decision-making. This role requires exceptional technical skills, a proven ability to communicate complex findings across scientific disciplines, and a desire to thrive in a small, fast-moving organization where flexibility and initiative are essential.

Key Responsibilities:

  • Design, implement, and maintain scalable, reproducible pipelines for single-cell RNA-seq, spatial transcriptomics, and integrative multiomics data analysis, from raw data through biological interpretation
  • Apply statistical modeling and machine learning approaches to large-scale omics datasets to identify biomarkers, characterize cellular heterogeneity, and aid process development
  • Leverage AI-based tools and platforms to accelerate research workflows, automate analyses, and enhance software development productivity
  • Perform complex data interpretation across modalities (scRNA-seq, genomics, spatial omics, proteomics) and translate findings into actionable insights for programs and leadership
  • Partner closely with manufacturing and research teams to align computational efforts with therapeutic objectives and program priorities
  • Contribute to data infrastructure strategy, supporting robust systems for data storage, integration, traceability, and long-term analytics
  • Communicate results effectively through internal presentations, and cross-functional meetings; distill complex analyses into clear narratives for diverse audiences.

Requirements

  • Ph.D. in bioinformatics, computational biology, genomics, statistics, or a related quantitative discipline with 3+ years of relevant industry experience
  • Self-motivated, hardworking, and adaptable
  • Strong foundation in statistics and machine learning, including supervised and unsupervised methods, dimensionality reduction, and model evaluation
  • Deep hands-on experience with single-cell analysis frameworks (e.g., Scanpy, Seurat, scVI) and associated workflows across the full analytical lifecycle
  • Strong proficiency in Python and R for data analysis, visualization, and pipeline development; Javascript experience is a plus
  • Demonstrated experience supporting drug discovery and development programs with computational and bioinformatic analyses
  • Proficiency in utilizing AI and large language model–based tools for research acceleration and software development
  • Excellent written and verbal communication skills, including the ability to present complex technical work to both computational and non-computational audiences
  • Strong team player with a collaborative mindset and a commitment to working in a small, tight-knit, and high-performing team environment

Preferred

  • Background in neuroscience, developmental biology, or related areas of disease biology
  • Experience in cell therapy research, manufacturing analytics, or related cell-based therapeutic modalities
  • Familiarity with spatial transcriptomics platforms (e.g., 10x Visium, Xenium, MERFISH) and integrative multiomics approaches
  • Track record of scientific contributions evidenced by peer-reviewed publications, patents, or conference presentations

Benefits

Kenai Therapeutics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The salary range for this position is $140,000 USD to $155,000 USD annually. This salary range is an estimate, and the actual salary may vary based on experience and/or the Company’s compensation practices.