Full-Time

Director of Integrated Bioanalytics

Confirmed live in the last 24 hours

Insitro

Insitro

201-500 employees

Machine learning for drug discovery efficiency

AI & Machine Learning
Biotechnology

Compensation Overview

$210k - $240kAnnually

+ Annual Performance Bonus + Equity Incentive Plan

Senior, Expert

San Bruno, CA, USA

Requires at least 3 days per week in the office.

Category
Bioinformatics
Genomics
Biology Lab & Research
Biology & Biotech
Requirements
  • Ph.D. in Analytical Chemistry, Biochemistry, or a related field with a preferred 8+ years of relevant industry experience.
  • M.S. + 12 years of relevant industry experience can also be considered.
  • Demonstrated experience managing a team of scientists and associates in a biotechnology setting.
  • Proven track record in developing analytical methods for lead molecules, troubleshooting, and optimizing assays for GMP use according to ICH guidance.
  • Expertise in relevant regulatory guidelines.
  • Experience in developing and validating bioanalytical assays.
  • Proficiency in techniques such as Ligand Binding Assays (ELISA, MSD etc), RT-qPCR, ddPCR and HPLC/UPLC/LC-MS.
  • Experience with mass spectrometry for large molecules and oligonucleotides, a plus.
Responsibilities
  • Establish the team by recruiting scientific staff and setting up laboratory operations.
  • Lead Bioanalytical Method Development and Fit For Purpose Qualification in house for nGLP studies.
  • Engage with and guide CRO partners for supporting method validation and ensure that sample analysis and relevant reports are rigorous and on time.
  • Provide technical leadership in formulation and analytical development for various modalities, including oligonucleotide drugs, biologics, and small molecules.
  • Collaborate with external vendors to apply phase-appropriate methods for raw materials, drug substances, and drug products.
  • Develop and implement initial methods in-house for purposes such as release assays, stability testing, and product characterization.
  • Serve as the analytical lead for CMC project teams.
  • Oversee troubleshooting, technology transfer (both internally and with CRO/CDMO partners), and phase-appropriate GMP validation of analytical methods.
  • Work with the quality function to ensure appropriate methods and SOPs are in place for studies.
  • Author and review technical reports and regulatory submissions.
  • Prior experience in IND filing (Module 3 for CMC) is required.
  • Promote a culture of safety, data integrity, collaboration, innovation, continuous improvement, and accountability within the team.
  • Provide leadership and mentorship to junior team members.

Insitro specializes in drug discovery and development by using machine learning and biological tools to predict successful paths in the pharmaceutical research process. Their predictive models aim to reduce the costly failures that are common in drug development. The company collaborates with scientists and engineers to generate data that enhances the efficiency of discovering new medicines. Insitro's goal is to provide pharmaceutical companies and research institutions with more effective methods for developing drugs.

Company Stage

Series C

Total Funding

$625.5M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

12%

1 year growth

22%

2 year growth

51%
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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.

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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)