Senior – Vice President
Machine Learning
Confirmed live in the last 24 hours
Insitro

201-500 employees

Machine learning-driven drug discovery and development
Company Overview
Insitro stands out as a pioneering drug discovery and development company, utilizing machine learning and high-throughput biology to transform the traditional, often inefficient, process of creating medicines. The company's unique approach combines human genetics, functional genomics, and machine learning to construct predictive in vitro human cell-derived disease models, aiming to deliver more effective medicines faster and at a lower cost. With a diverse team of experts in life sciences, machine learning, human genetics, engineering, and drug discovery, insitro fosters a collaborative culture that integrates the languages of biology and machine learning, making it an ideal workplace for those seeking to advance tomorrow's medicines.
AI & Machine Learning
Data & Analytics

Company Stage

Series C

Total Funding

$743M

Founded

2018

Headquarters

South San Francisco, California

Growth & Insights
Headcount

6 month growth

6%

1 year growth

18%

2 year growth

66%
Locations
San Bruno, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
CategoriesNew
AI & Machine Learning
Requirements
  • PhD in technical field (Computer Science, Electrical Engineering, Bioinformatics, etc.) or equivalent practical experience
  • Extensive experience with a broad spectrum of state-of-the-art ML methods, including probabilistic modeling and deep learning
  • Significant familiarity with concepts in biology and medicine; experience working directly with biomedical data (genetics, omics, microscopy, clinical imaging) is a strong plus
  • 12+ years of work experience in a role involving ML method development for real world problems, ideally also in tasks that involve data at petabyte scale
  • Demonstrated track record of building a top-notch ML team, including the ability to source, identify, recruit and effectively manage top talent
  • 8+ years of experience leading a high-performance team, including setting a vision, and creating a culture of effective, high-quality methods development and reducing those methods to a practical implementation
  • Ability to interact effectively across disciplinary boundaries, including with people from very diverse backgrounds
  • Passion for making a difference in the world
Responsibilities
  • Guide your team to develop and deploy ML methods for analyzing and building predictive models for biology and chemistry discovery that build on state-of-the-art approaches, while also accounting for the unique needs of biomedical data
  • Lead and continue to grow our world-class DSML team, including building and mentoring a strong layer of managers who exemplify effective internal and x-functional leadership
  • Work with colleagues in the therapeutic areas and in drug discovery to enable the use of machine learning models to select therapeutic interventions that are safe and effective
  • Work with biologists and automation engineers to design experiments that generate datasets that are fit for purpose for machine learning, including ones generated explicitly for training ML models
  • Work with other executives to lead the scientific direction of the company, including identifying technologies, data modalities, and data sets that are synergistic with machine learning methods and provide differentiated value
  • Lead yearly and quarterly planning, set impactful goals, and align with cross-functional stakeholders
  • Work in partnership with the software engineering team to ensure that your team implements good software engineering practices and generates robust, reusable platform components
  • Collaborate with colleagues in corporate development to generate and support high value collaborations with data or pharma partners
  • Partner in building the larger insitro team, setting the culture, and building alignment with company values
  • Help to continue to build and cultivate the Board and the Scientific Advisory Board to ensure open and productive communication
  • Represent the company within the machine learning and computational biology communities so as to enhance company visibility and stature
Desired Qualifications
  • Experience working directly with biomedical data (genetics, omics, microscopy, clinical imaging)