Senior Machine Learning Scientist, Bioinformatics

We are looking for a Bioinformatician with deep experience in the training and application of deep learning models, especially but not limited to genomics, transcriptomics, spatial transcriptomics, and related fields. As a member of the Large Quantitative Model (LQM) team, you will develop completely new computational tools to reshape drug discovery. 

• Develop and apply deep learned models to predict genomic and transcriptomic profiles, including after perturbation by drug molecules.
• Drive curation and use of high-quality datasets, such as single-cell RNA-seq datasets.
• Work with a cross-functional team of experts to computerize drug discovery.
• Write patents, research papers and technical documents. Participate and present at international conferences.
• Reshape drug discovery, advance machine learning, and protect humanity from disease.

• Ph.D. in a field setting you up to work on deep learning models for genomics, transcriptomics, and biological pathway modeling: computational biology, bioinformatics, computer science, applied math, etc. 
• 2+ years working on deep learning for biopharma in an industry context.
• Experience in training, applying, and optimizing contemporary deep learning models, including generative models, as demonstrated by:
  • Publications and/or presentations
  • Contributions to software projects
• Experience applying deep learning models to problems in biopharma: genomics, transcriptomics, spatial transcriptomics, and/or related fields such as structural biology.
• Software skills: advanced proficiency with Python, with related software ecosystem tools (i.e. Git, Docker, Kubernetes, etc), and contemporary deep learning and informatics terms (i.e. R, Pytorch, etc)
• Excellent communication skills

• Relevant postdoctoral training
• Experience in long-context sequence modeling
• Direct experience in drug discovery or development
• Experience running deep learning workloads on GPU clusters at large scale
• Experience working on cloud
• Contributions to open source repositories

The US base salary range for this full-time position is expected to be $192k - $269k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.