The Opportunity
The heart of insitro’s strategy is the development of novel, groundbreaking methods in machine learning and high-throughput biology that address key bottlenecks in the drug development pipeline. To accomplish that, we are putting together a team of life scientists with pioneering cellular and technological expertise. As a Genomics Associate Scientist, you will work to implement and complete genomic workflows, collaborating across multiple functions at insitro. You will collaborate with scientists and engineers to develop, transfer and validate manual process steps to automated liquid handling and coordinated systems. You will support the development and operation of in-house sequencing and genomic assays, such as single cell and bulk RNA-seq as a part of our data generation pipelines. This role provides the opportunity to collaborate with a very hardworking multidisciplinary team as you develop and run innovative assays in a brand-new environment with the goal to accelerate machine learning based drug discoveries.
In this role you will:
- Prepare Next Generation Sequencing (NGS) single-cell and bulk RNAseq libraries
- Complete QC, normalization and pooling of final libraries
- Load library pools onto in-house Illumina sequencers, troubleshoot sequencing issues, breakdown/maintain/wash instruments
- Assess quality metrics to evaluate assay performance
- Communication with external vendors
You will be joining a biotech startup with long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with a versatile team, learn a broad range of skills, and help craft insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!
About You
- B.S. in biological sciences, bio/chemical engineering, or similar experience
- Strong attention to detail
- At least 1 year of relevant work experience in academia or industry
- Experience with Molecular Biology techniques including NGS prep, DNA and RNA purification
- Experience crafting standardized operating procedures (SOPs)
- Excellent communication and interpersonal skills
- Excellent analytical and problem-solving skills
Nice to Have
- Experience with single cell and bulk RNA-seq
- Familiarity with liquid handling systems
- Experience working with automated NGS library prep methods
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $85,000 - $115,000. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, 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), 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 a data-driven drug discovery and development company using machine learning and data at scale to transform the way that drugs are discovered and developed for patients. insitro is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale. These predictive models can be brought to bear on key bottlenecks in pharmaceutical R&D to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of biologic insights and molecules in neuroscience and metabolic diseases. Since formation in mid 2018, insitro has raised over $700 million from top tech, biotech, and crossover investors and from collaborations with pharmaceutical partners. For more information on insitro, please visit the company’s website at
www.insitro.com.
