Machine Learning Scientist Save

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a Machine Learning Scientist to join a team investigating neurological aging and disease using genetics and functional genomics in humans and model systems. Genomics offers rich, informative profiles of organism state throughout life. We collect these data to build causal models for organism state, that reveal the critical underlying cellular processes and highlight promising intervention points. The ideal candidate is passionate about unraveling how genome sequence determines function and the adverse transformations that accompany neurodegeneration.

Predictive modeling with cutting edge machine learning tools are at the core of this work, exemplified by recent publications modeling regulatory activity as a function of DNA sequence using deep learning.

• Avsec, Ž. et al. Effective gene expression prediction from sequence by integrating long-range interactions. Nat Methods 18, 1196–1203 (2021).
• Yuan, H. & Kelley, D. R. scBasset: sequence-based modeling of single-cell ATAC-seq using convolutional neural networks. Nat Methods 19, 1088–1096 (2022).
• Linder, J., Srivastava, D., Yuan, H., Agarwal, V. & Kelley, D. R. Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation. bioRxiv (2023).

Additional research can be found here.

Position Responsibilities:

• Develop novel computational methods for biological sequence analysis, single cell genomics, and statistical genetics
• Interact closely with experimental neuroscientists to analyze large-scale genomics data to reach biological insights
• Communicate research via publications, presentations, web interfaces, and open  software

Position Requirements:

• PhD in computational biology, bioinformatics, computer science, or a related discipline
• Strong computational fundamentals including machine learning, algorithms, data structures, and statistics
• Strong molecular biology, neuroscience, and genetics knowledge and interest; familiarity with biological data resources
• Fluent coding in preferably Python but at least one common bioinformatics programming language
• Experience analyzing genomics sequencing experiments, ideally including single cell
• Experience applying machine learning to biological problems
• Intellectual curiosity, attention to detail, consistent follow-through, proactive approach to collaborations, demonstrated ability to work effectively in a team environment
• Must be willing to work onsite at least four days per week

The estimated base salary range for this role is $155,000 - $162,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.