Lead/Senior Computational Biology Data Scientist, Imaging

The Opportunity

Innovative technologies that measure multiple cellular aspects are at the heart of insitro’s efforts to accelerate drug development. Computational biology is key to translate measurements into useful outcomes through clinically relevant insights derived from rich datasets generated in-house.

As a computational biologist at Insitro, you will be in charge of performing analysis of large scale datasets with an emphasis on multimodal measurements and data integration. You will work closely with the imaging and omics machine learning teams and use diverse machine learning and bioinformatic methods to perform downstream analysis and integrate imaging and human cohort data in order to extract insights about disease mechanisms. You will work cross-functionally with a team of life scientists, data scientists, bioengineers and machine learning scientists striving to identify therapeutic targets and develop drugs of high efficacy and low toxicity.

You will be joining the founding team of a vibrant biotech startup that has long-term stability, due to significant funding, and is in a high growth phase, and you will have many opportunities for significant impact. You will work closely with a very dedicated team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About You

• Ph.D. in computational biology, systems biology, engineering, machine learning, or a related discipline, or equivalent practical experience (e.g., a Master’s degree plus 3 years of relevant industry experience)
• Extensive hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities
• Experience with spatial transcriptomics and/or proteomics
• Some understanding of human physiology or disease biology
• Extensive experience with scientific programming in Python and R, including expertise using numpy, scipy, bioconductor, and similar toolkits
• Good programming skills in scientific programming languages (e.g., Python, R)
• Committed to writing well-commented code and documentation, and familiarity with coding standard processes (i.e. git)
• Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
• Passion for making a difference in the world!

Nice to Have

• Experience analyzing single-cell RNA-seq data
• Experience working with diverse functional genomic assays (RNA/DNase/ATAC/ChIP-seq, etc); exposure to CRISPR-based experiments a plus
• First-hand experience studying diseases using omics or imaging data
• Experience with proteomics and/or metabolomics data generated through mass spectrometry
• Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues
• Passionate about troubleshooting, asking questions and learning independently
• Experience with modeling time-series datasets
• Familiarity with cloud computing services (e.g., AWS or GCP)
• Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects.
• Experience building infrastructure for data processing