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Benefits offered by this job
Two annual cash bonuses
Job summary
Calico Life Sciences in South San Francisco is seeking a Machine Learning Scientist to investigate gene regulation through computational models. The role requires a PhD in a relevant field and offers a competitive salary range of $170,000 - $233,000, along with eligibility for two annual cash bonuses. Candidates should have deep expertise in machine learning, experience with genomic data, and a strong publication record. The position involves collaboration with experimental scientists and a significant focus on innovative biological insights.
Qualifications
PhD required, with 0-5 years for Scientist level or 5+ years for Senior Scientist level.
Strong publication record needed.
Deep expertise in machine learning and solid grounding in algorithms.
Responsibilities
Design and train deep learning models for biological sequence analysis.
Partner with experimental scientists to connect model predictions to biological mechanisms.
Communicate research through publications and public-facing tools.
Skills
Machine learning expertise
Genomic data analysis
Collaboration
Statistical analysis
Fluency with AI tools
Education
PhD in computational biology, bioinformatics, or related field
Tools
Deep learning frameworks
Genomic data analysis tools
Job description
Calico Life Sciences in South San Francisco is seeking a Machine Learning Scientist to investigate gene regulation through computational models. The role requires a PhD in a relevant field and offers a competitive salary range of $170,000 - $233,000, along with eligibility for two annual cash bonuses. Candidates should have deep expertise in machine learning, experience with genomic data, and a strong publication record. The position involves collaboration with experimental scientists and a significant focus on innovative biological insights.