Full-Time
Computational Biology Data Scientist
Posted on 4/17/2023
Machine learning-driven drug discovery and development
Compensation Overview
$150,000 - $200,000
Mid
San Bruno, CA, USA
- 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 experience)
- Extensive hands on experience analyzing single-cell RNA-seq data
- Some understanding of human physiology or disease biology
- Experience working with diverse functional genomic assays (RNA/DNase/ATAC/ChIP-seq, etc)
- Extensive experience with scientific programming in Python and R, including expertise using numpy, scipy, bioconductor, and similar toolkits
- Committed to writing well-commented code and documentation and familiarity with coding standard processes (i.e. git )
- Ability to communicate optimally and collaborate with people of diverse backgrounds and job functions
- Passion for making a difference in the world!
- Experience with spatial transcriptomics and/or proteomics
- Experience analyzing data from CRISPR-based experiments
- 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
- 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 imaging 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
Insitro stands out as a pioneering drug discovery and development company, utilizing machine learning and high-throughput biology to transform the traditional, often inefficient, process of creating medicines. The company's unique approach combines human genetics, functional genomics, and machine learning to construct predictive in vitro human cell-derived disease models, aiming to deliver more effective medicines faster and at a lower cost. With a diverse team of experts in life sciences, machine learning, human genetics, engineering, and drug discovery, insitro fosters a collaborative culture that integrates the languages of biology and machine learning, making it an ideal workplace for those seeking to advance tomorrow's medicines.
Company Stage
Series C
Total Funding
$825.4M
Headquarters
South San Francisco, California
Founded
2018
6 month growth
↑ 6%1 year growth
↑ 30%2 year growth
↑ 58%Benefits
Excellent medical, dental, and vision coverage
Excellent mental health and well-being support
Open vacation policy
Access to free onsite baristas & cafe with daily lunch and breakfast
Access to free onsite fitness center
Commuter benefits
Paid parental leave
Competitive pay and 401(k) matching
Flexible work schedule (on site and remote)