Full-Time

Senior / Staff Automation Engineer

Posted on 12/17/2024

Insitro

Insitro

201-500 employees

Machine learning for drug discovery efficiency

AI & Machine Learning
Biotechnology

Compensation Overview

$165k - $215kAnnually

+ Annual Performance Bonus + Equity Incentive Plan

Senior, Expert

San Bruno, CA, USA

Onsite role expected to be in the office at least 4 days/week in South San Francisco Headquarters.

Category
Bioinformatics
Computational Biology
Biology Lab & Research
Biology & Biotech
Required Skills
Python
SQL
C#
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#
  • Comfortable completing work independently on complex projects and can also give guidance to others on daily work
  • Experience managing the relationship to other engineering functions (eg. third party service providers and vendors or internal mechanical or software engineering teams)
  • Understanding existing capabilities of the lab automation industry and a track record showing technical depth in automation systems of varying scale.
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 developing new medicines. By doing so, Insitro aims to minimize the costly failures that often occur in pharmaceutical R&D. Their team, which includes scientists and engineers, collaborates to generate and analyze data to enhance the drug discovery process. Unlike traditional methods that rely heavily on intuition, Insitro's approach is data-driven and seeks to provide more accurate predictions. The company primarily serves pharmaceutical companies, healthcare providers, and research institutions looking for efficient drug development solutions. Insitro's goal is to improve the overall effectiveness and efficiency of the drug discovery process.

Company Stage

Series C

Total Funding

$625.5M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

2%

1 year growth

1%

2 year growth

6%
Simplify Jobs

Simplify's Take

What believers are saying

  • Insitro received $25 million from Bristol Myers Squibb for ALS target discovery.
  • The company raised over $600 million in venture capital funding.
  • Insitro appointed AI expert Emily Fox as Senior VP of AI/ML.

What critics are saying

  • Competition from well-funded companies like Xaira Therapeutics challenges Insitro's market position.
  • Ethical concerns in AI drug development may affect Insitro's public perception.
  • Data privacy issues could lead to regulatory challenges for Insitro.

What makes Insitro unique

  • Insitro integrates machine learning with high-throughput biology for drug discovery.
  • The company builds predictive models to accelerate target selection and drug development.
  • Insitro's team combines expertise in science, engineering, and drug discovery.

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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)

INACTIVE