About this opportunity
Insitro lists this Compbio Data Scientist opportunity in south san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
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!
Responsibilities
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
About You
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
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $200,000 - $225,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
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
insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
#J-18808-Ljbffr
Worksite address
south san francisco, CA, 94083, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.