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Bioinformatics Machine Learning Jobs (NOW HIRING)

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Scientist II, Bioinformatics

Lexington, MA

Understands well the biology application domain, proficient in bioinformatics tools, databases, software development, general and numerical algorithms, statistics and machine learning. Capable of ...

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Bioinformatics Scientist

Carlsbad, NM · On-site

$95K - $125K/yr

Position Title: Bioinformatics Scientist Classification: Exempt Reports To: Manager of ... Experience with machine learning, statistical modeling, or multi-omics data integration. Experience ...

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Bioinformatics Scientist

Carlsbad, CA · On-site

$95K - $125K/yr

Position Title: Bioinformatics Scientist Classification: Exempt Reports To: Manager of ... Experience with machine learning, statistical modeling, or multi-omics data integration.

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The Bioinformatician will furthermore play a role in performing CellScape data analyses for key ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

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How much do bioinformatics machine learning jobs pay per year?

As of Jun 6, 2026, the average yearly pay for 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 a Bioinformatics Machine Learning job?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a Bioinformatics Machine Learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

What are the key skills and qualifications needed to thrive in the Bioinformatics Machine Learning position, and why are they important?

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

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What cities are hiring for Bioinformatics Machine Learning jobs? Cities with the most Bioinformatics Machine Learning job openings:
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Bioinformatics Machine Learning jobs near you
Infographic showing various Bioinformatics Machine Learning job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Research Intern (PhD), Machine Learning

Output Biosciences

San Francisco, CA • On-site

$3K - $11K/mo

Full-time

Medical, Dental, Vision

Posted 29 days ago

Job description

Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.


The Role

You will own a research project that directly advances Output's research and its path to new therapies. This is not a side project: your work will contribute to the same models and methods the full-time team builds on. We will select a project together based on your research interests and our priorities, with a path to publishing your work at top-tier venues and the opportunity to continue with additional projects throughout the year.


About You

  • You are currently pursuing a PhD in machine learning, computer science, computational biology, physics, mathematics, or a related field

  • You have a strong research track record, demonstrated by publications or submitted work at venues such as NeurIPS, ICML, ICLR, or relevant computational biology conferences

  • You have hands-on experience designing and running ML experiments, including training models and analyzing results

  • You are proficient in Python and PyTorch, and comfortable working with large-scale datasets and GPU infrastructure

  • You can work independently on a research problem: scoping an approach, running experiments, interpreting results, and communicating findings clearly

Bonus Points

  • You have experience applying machine learning to biological, chemical, or molecular data

  • You have a background in computational biology, biophysics, chemistry, or a related natural science

  • You have experience with generative models, representation learning, or self-supervised learning

  • You have contributed to open-source machine learning or computational biology projects

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

What We Offer

  • We encourage new and different ideas, creativity and contrarian thinking

  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

  • You own your day-to-day management. What we care about is that we all hit our milestones

  • Competitive salary and equity in a growing, well-funded startup

  • Excellent medical, dental, and vision coverage