Machine Learning Scientist – Bioinformatics & Computational Biology

Role: Machine Learning Scientist – Bioinformatics & Computational Biology

Experience:

Location:

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About the Role

Machine Learning Scientist (Bioinformatics)

genome mining, molecular technology development, and therapeutic innovation

Key Responsibilities

• Design, train, and evaluate

  advanced ML models

  for molecular biology and genomic applications.
• Develop

  biological language models

  to study eukaryotic and prokaryotic genome function and gene discovery.
• Build, test, and maintain

  modular and scalable software tools

  to accelerate adoption of genomic ML models.
• Contribute to research projects in

  generative genomics, genome engineering, and therapeutics

  .
• Collaborate with cross-functional teams of

  biologists, bioinformaticians, and ML engineers

  .
• Present and communicate analytical findings effectively to both computational and experimental teams.

About You

• Passionate about applying

  machine learning to solve biological problems

  with real-world impact.
• Strong foundation in

  deep learning, computational biology, and genomics

  .
• Excellent at

  analyzing and visualizing complex datasets

  and building high-quality ML tools.
• Familiar with

  genomic language modeling

  ,

  generative genomics

  , or

  biological design

  concepts.
• Collaborative mindset with enthusiasm for

  interdisciplinary teamwork

  .

Qualifications & Experience

• Education:

  M.Sc./B.Tech/M.Tech (or equivalent) in Computer Science, Bioinformatics, Computational Biology, or Genetics/Genomics.

• Experience:

  5–15 years in academia or industry, focused on ML or bioinformatics.
• Proficient in

  Python

  ,

  Bash

  , and frameworks such as

  PyTorch

  or

  TensorFlow

  .
• Experience with

  Linux

  ,

  Git/GitHub

  ,

  Docker

  , and

  Jupyter/RMarkdown

  notebooks.
• Understanding of how

  experimental design impacts data analysis

  .
• Strong communication and teamwork skills for effective collaboration with experimental scientists.

Why Join Us

• Work at the intersection of

  AI, genomics, and biotechnology

  .
• Collaborate with a world-class team of

  scientists and engineers

  .
• Drive

  breakthroughs in genome engineering and therapeutic discovery

  .
• Be part of a mission-driven organization redefining the future of

  data-driven biology

  .

🔬 Apply Now

AI models that accelerate biological discovery and therapeutic innovation

OR

Send your updated resume to careers@sidinformation.com