Compbio Data Scientist

Job Description

• State-of-the-art 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 actionable outcomes through clinically relevant insights derived from rich datasets generated in-house. • We are looking to hire a new team member with expertise in omics-based analyses, including deep understanding of single cell transcriptomics (e.g. perturbation screens), and fluent with state-of-the-art analysis techniques (e.g. large scale atlas integration). Your expertise will help the team navigate the complexities of transcriptomics data and ensure that the tools being developed are accurate and effective, and that the analyses are performed to the highest rigor and in line with best practices in the field. • In this role, you will directly impact all target prioritization efforts, advance our understanding of diseases and aid the development of new treatments. In general, 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 utilize diverse machine learning and bioinformatic methods to perform downstream analysis and integrate omics, imaging, and human cohort data in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. • You will be joining 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 talented 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!

Qualifications

• Ph.D. in computational biology, systems biology, engineering, machine learning, or a related discipline, with 3+ years of working experience post graduation. • Extensive hands on experience analyzing single-cell and bulk RNA-seq data • Experience with spatial transcriptomics and/or proteomics • Some understanding of human physiology or disease biology (e.g. neurosciences, cancer biology). • Experience analyzing data from CRISPR-based experiments (i.e. perturb-seq) • Strong programming skills in scientific programming languages (i.e., Python) • Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review) • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions • Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues • Passion for making a difference in the world • Experience working with diverse functional genomic assays data (RNA/ATAC/ChIP-seq, etc) • Hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities • Understanding of systems biology approaches, including network analysis • First-hand experience studying diseases using omics or imaging data • Experience with proteomics and/or metabolomics data generated through mass spectrometry • Passionate about troubleshooting, asking questions and learning independently • Experience with modeling time-series datasets • Familiarity with cloud computing services (e.g., AWS or azure) • Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects. • Experience building infrastructure for data processing

Benefits

• 401(k) plan with employer matching for contributions • Excellent medical, dental, and vision coverage (insitro pays 100% of premiums for employees on our base plans), as well as mental health and well-being support • Open, flexible vacation policy • Paid parental leave • Quarterly budget for books and online courses for self-development • Support to occasionally attend professional conferences that are meaningful to your career growth and development • New hire stipend for home office setup • Monthly cell phone & internet stipend • Access to free onsite baristas and cafe with daily lunch and breakfast • Access to free onsite fitness center • Commuter benefits