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Co Op Biology Coding Jobs (NOW HIRING)

Support Project Managers in daily coordination of biologics development projects and operational ... Previous internship, co-op, research lab, student organization, or operational support experience ...

Support Project Managers in daily coordination of biologics development projects and operational ... Previous internship, co-op, research lab, student organization, or operational support experience ...

There are chemical, biological, mechanical and electrical processes or systems to learn. Any ... The co-op in the Environmental department will work with mill Environmental Engineers to perform ...

Perform routine data engineering assignments under close supervision, using established code design ... DATA CO-OP ESSENTIAL QUALIFICATIONS: Required Qualifications: * Currently enrolled in a Business ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Actively participate in code/design reviews as well as brainstorming sessions * Develop program and ...

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Actively participate in code/design reviews as well as brainstorming sessions * Develop program and ...

Kettering Co-op

Grand Rapids, MI

$18.50 - $24.25/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Actively participate in code/design reviews as well as brainstorming sessions * Develop program and ...

Chemistry, Biology) at Michigan State University, Western Michigan University, or Michigan Tech ... The Co-op student must take ownership of his work. The ability to work with other lab personnel ...

Your Impact at LILA Lila Sciences is seeking a dedicated Cell Free Co-op for Protein Sciences to ... Working on a degree in biochemistry, molecular biology, biotechnology, biological engineering ...

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Co-Op, ML Scientist for Biology

Lila Sciences

San Francisco, CA • On-site

Other

Posted 15 days ago


Job description

Your Impact at LILA

Lila is building a platform where AI and automation co-evolve to solve hard problems across scientific domains. Within Life Sciences AI, we are developing autonomous-science capabilities for biological systems, spanning multiple biological domains and resolutions, based on multi-modal data and foundation models.

We are seeking a Co-Op, LS AI, ML Scientist for Biology to contribute to cutting-edge research on how to effectively evaluate, guide, and reinforce agentic model behavior in this domain.

This is an opportunity to work alongside Lila scientists on early-stage research in autonomous life science AI. You will help explore reasoning models, evaluation and benchmark datasets, and workflows that connect modern AI methods to real biological questions, gaining hands-on experience in a fast-moving scientific environment.

What You'll Be Building

  • Contribute to ML research on reasoning models for biological discovery and autonomous science.
  • Explore methods to evaluate, guide, and reinforce agentic model behavior in biological domains.
  • Help develop evaluation and benchmark datasets for biological reasoning tasks.
  • Analyze multi-modal biological data to identify useful signals for model evaluation and improvement.
  • Prototype workflows that connect model reasoning, evaluation, and scientific feedback.
  • Communicate findings through code, notebooks, written summaries, and presentations.

What You'll Need to Succeed

  • Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Biology, Bioengineering, or a related quantitative field.
  • Research experience in machine learning, AI for science, computational biology, or biological data analysis.
  • Strong programming skills in Python and experience with modern ML frameworks such as PyTorch, JAX, or similar tools.
  • Experience working with biological, scientific, or multi-modal datasets.
  • Interest in reasoning models, agentic systems, evaluation methods, or benchmark design.
  • Interest in closed-loop scientific discovery, autonomous labs, or AI systems that interact with experimental feedback.
  • Ability to communicate research findings clearly through code, notebooks, written summaries, and presentations.
  • Comfort working in a collaborative, cross-disciplinary research environment.

Bonus Points For

  • Experience with reasoning models, agentic systems, reinforcement learning, or model evaluation.
  • Experience developing benchmarks, evaluation datasets, or model assessment workflows.
  • Publications, preprints, talks, posters, or workshop presentations in ML, AI for science, computational biology, or related scientific venues.