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Full-Time

Senior Automation Engineer

Confirmed live in the last 24 hours

Insitro

Insitro

201-500 employees

Machine learning for drug discovery efficiency

AI & Machine Learning
Biotechnology
Healthcare

Compensation Overview

$165k - $180kAnnually

+ Annual Performance Bonus + Equity Incentive Plan

Senior, Expert

San Bruno, CA, USA

Category
Bioinformatics
Biology Lab & Research
Biology & Biotech
Required Skills
Python
SQL
Requirements
  • Bachelor's degree or higher in Robotics, Mechanical, Electrical, Chemical, Software or Bioengineering, or Physics, Chemistry or Biology
  • B.S, with 8+ years, M.S with 6+ years, or Ph.D. with 3+ years of professional experience working with automation hardware
  • Experience automating scientific workflows (ex. Cell Culture, Genomic Screening or DNA-encoded Library processes)
  • Experience working with Python, SQL, and/or C#
Responsibilities
  • Come up to speed on various scientific process to drive the translation of workflows onto automation systems
  • Design, develop and qualify new workcells and liquid handling protocols to enable new platform capabilities
  • Work with the Automation Industrialization team to ensure equipment is in good operating condition and troubleshoot automation or software errors
  • Work with the Automation Sciences team to define scientific workflows, develop process specific QC metrics, and ensure successful transfer of methods to end users
  • Collaborate with folks from our machine learning, software engineering and scientific groups to solve questions ranging from technology onboarding, minimizing batch effects, or process improvements
  • Identify opportunities in how we develop, test and deploy automation solutions more efficiently
  • Lead and shape our team culture with your ideas and experience
  • Collaborate with the LIMS team on workflow parametrization

Insitro focuses on drug discovery and development in the pharmaceutical research sector. The company utilizes machine learning and biological tools to create predictive models that help identify successful paths for new medicines earlier in the process. This method aims to minimize the costly failures that often occur in pharmaceutical R&D. Insitro's team, which includes scientists, engineers, and drug hunters, collaborates to generate and analyze data to enhance the development of future drugs. Unlike traditional methods that rely heavily on intuition, Insitro's approach is data-driven and seeks to avoid unproductive routes in drug discovery. The company primarily serves pharmaceutical companies, healthcare providers, and research institutions looking for more effective drug development strategies. Insitro's goal is to improve the efficiency and success rate of bringing new medicines to market.

Company Stage

Series C

Total Funding

$825.4M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

11%

1 year growth

19%

2 year growth

52%
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Simplify's Take

What believers are saying

  • With over $600 million in venture capital funding, Insitro is well-positioned for sustained growth and innovation in the pharmaceutical R&D sector.
  • The appointment of high-caliber professionals like Emily Fox and Philip Tagari strengthens Insitro's capabilities in AI-driven drug discovery and development.
  • Insitro's partnerships and board appointments, such as Amy Abernethy, indicate strong industry recognition and potential for impactful collaborations.

What critics are saying

  • The competitive landscape in AI-driven drug discovery is intense, with well-funded competitors like Xaira Therapeutics posing significant challenges.
  • Ethical and social justice issues related to AI in drug development, such as data privacy and diversity in clinical trials, could pose regulatory and reputational risks.

What makes Insitro unique

  • Insitro integrates machine learning with modern biological tools to create predictive models, setting it apart from traditional pharmaceutical R&D approaches.
  • The company's focus on data-driven insights and predictive modeling aims to reduce the high failure rates in drug discovery, a significant pain point in the industry.
  • Insitro's leadership team, including experts like Emily Fox and Philip Tagari, brings unparalleled expertise in AI, machine learning, and drug development, enhancing its competitive edge.

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)