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Associate Scientist III, Mechanistic Cell Biology

insitroSouth San Francisco, California, United StatesOnsite
This job is no longer open

The Opportunity


The heart of insitro's strategy is the combination of novel target identification and conviction, the latest methods in machine learning, biology at scale and small molecule discovery that address important bottlenecks in the drug development pipeline. As an Associate Scientist in the Mechanistic Cell Biology Group, you will support drug discovery and development and contribute to biochemical and cell-based bioassay development as part of our diverse portfolio of therapeutic areas including neurological, metabolic disorders and oncology.

Additionally, you will assist with the logistics of drug discovery by supporting our compound management function. This is a lab-based role where you will report to the Associate Director, Mechanistic Cell Biology, and work onsite 5 days/week at our office in South San Francisco, CA. You will work with a diverse team of biologists, bioengineers, machine learning and data scientists who have a passion for making a difference!You will join a growing techbio startup that has long-term stability but is very much in formation, providing many opportunities for impact. You will work with an accomplished versatile team with learning opportunities, and help shape insitro's culture, strategic direction, and outcomes.

Join us, and help make a difference to patients!

Responsibilities


  • Perform biochemical and cell-based assays to expand understanding effects of target engagement across multiple targets and modalities
  • Help create tool cell lines
  • Maintain cultures of immortalized and primary cell lines
  • Work cross-functionally with scientists from diverse therapeutics areas at insitro to help answer mechanistic questions

About You


  • B.S or M.S in biochemistry, cell biology, pharmacology, or other relevant field, with at least two (2) years experience
  • Experience performing end-point and image-based assays in 96- and 384-well plate formats
  • Wide range of molecular biology skills, such as cloning, qPCR, RNA isolation, Western Blotting, ELISA assays (MSD), co-immunoproecipitation
  • Broad cell biology experience such as gene editing, transgene expression, stable cell line generation, immunofluorescence imaging
  • Aseptic technique for culture of immortalized and primary cells
  • Experience handling a variety of chemical matter including small molecules and siRNA
  • Familiarity with automated liquid handlers, e.g. Echo, Hamilton, Bravo, and Tecan
  • Familiarity with GraphPad Prism, Spotfire, Benchling, Signals, Python, and R

Compensation & Benefits at insitro


Our target starting salary for successful US-based applicants for this role is $105,000 - $120,000. 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.#LI-Onsite

About insitro


insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy.

insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience, oncology and metabolism. Since launching in 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 www.insitro.com.

This job is no longer open

Life at insitro

insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients. At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. Weᅢᄁ¬ツᆲ¬トᄁre embarking on a new approach to drug development ᅢᄁ¬ツᆲ¬タワ one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry. We believe that by harnessing the power of technology to interrogate and measure human biology, we can have a major impact on many diseases. We invest heavily in cutting edge bioengineering technologies to enable the construction of large-scale, high-quality data sets that are designed specifically to drive machine learning methods. Our first application is to use human genetics, functional genomics, and machine learning to build a new generation of in vitro human cell-derived disease models whose response to perturbation is designed to be predictive of human clinical outcomes. This cannot be done without great people. We are bringing together an outstanding team of people whose expertise spans multiple disciplines - life sciences, machine learning, human genetics, engineering, and drug discovery - and building a unique culture where people from diverse backgrounds work as a single team towards a common goal. We offer opportunities to collaborative people with expertise in life science and computational science. Join us to help bring better health to more people, faster and cheaper.
Thrive Here & What We Value1. Inclusive, growth-oriented environment supported by equitable company and team practices2. Open, flexible vacation policy3. Paid parental leave4. Quarterly budget for books and online courses for self-development5. Monthly cell phone & internet stipend6. Access to free onsite baristas and cafe with daily lunch and breakfast7. Access to free onsite fitness center8. Commuter benefits9. Equal opportunity employer1e. Commitment to diversity, equity, and inclusion
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