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Senior Scientist / Associate Director, Oncology (Tumor Mechanisms)

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

The Opportunity


The heart of insitro's strategy is the combination of advanced machine learning, biology at scale and molecular discovery that address bottlenecks in the drug development pipeline. To accomplish that, we are putting together an incredible team with a passion for target discovery and therapeutics advancement.Reporting to the Oncology Discovery Therapeutic Area head, you will partner with data science and machine learning (DSML), translational oncology and computational biology colleagues to credential and prioritize drug targets and biomarkers identified using insitro's differentiated machine learning platform.

You will lead preclinical validation studies from candidate identification through selection and there will also be opportunities to lead projects to drug candidate nomination.This will be a hybrid on-site OR remote preclinical role. You are collaborative, creative, and rigorous and will excel in an exciting environment. This is an excellent opportunity for someone passionate about therapeutic discovery and delivering cancer medicines to the right patients!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 cancer patients!

Responsibilities


  • Lead efforts to evaluate and prioritize Oncology targets derived from insitro's machine learning platform with the goal of producing viable therapeutic interventions.
  • Partner with colleagues in DSML to assemble orthogonal genetic target credentialing data.
  • Design and oversee target credentialing studies in cell and tumor models.
  • Utilize your disease area expertise to provide strategic input into prioritization of insitro's Oncology targets.
  • Generate target credentialing packages and present recommendations in internal meetings
  • Lead collaborations with external partners such as CROs in efforts related to the Oncology disease area.
  • Participate in evaluation of potential Oncology assets.

About You


  • PhD in a biological science related field (Cell bio, Biochem, Genetics etc.) with 8+ years of industry experience including 5+ years in Oncology target identification, validation or therapeutic discovery / validation
  • Significant understanding of tumorigenic mechanisms and therapeutic approaches
  • Record of leading project teams to interrogate and prosecute targets or drug discovery campaigns
  • Experience working with data scientists / computational biologists /statistical geneticists to identify or validate therapeutic targets or biomarkers
  • Experience managing CROs and collaborating with external partners

Compensation & Benefits at insitro


Our target starting salary for successful US-based applicants for this role is $155,000 - $195,000. 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 strive to bring together diverse teams–grounded in different expertise and life experiences–and ensure those teams succeed in inclusive, growth-oriented environments supported by equitable company and team practices.

You can expect equitable treatment, respect, and fairness throughout the interview process.

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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