Full-Time

Senior Director/ Vice President

Head of IP

Posted on 4/26/2024

Insitro

Insitro

201-500 employees

Machine learning-driven drug discovery and development

Data & Analytics
AI & Machine Learning

Senior

San Bruno, CA, USA

Required Skills
Communications
Requirements
  • Graduate studies in computer science, machine learning, chemistry, biochemistry, genetics, molecular biology, or bioinformatics
  • J.D. from a top tier law school
  • Active membership in at least one state bar
  • USPTO Patent Bar registration
  • Minimum of 12 years practice as a patent professional
  • In-depth understanding of ML techniques
  • Exposure to computational methods relevant to drug design
  • Experience with biopharma-specific patent and IP conventions
  • Ability to lead and execute on IP strategy across technical disciplines
  • Dynamic self-starter with results-oriented approach
  • Collaborative and proactive team player
  • Excellent written and oral communication skills
Responsibilities
  • Patent portfolio development
  • Trademark portfolio management
  • IP rights clearance & licensing
  • Manage proprietary information
  • Legal function administration

Insitro, a data-driven drug discovery and development company, integrates machine learning, human genetics, and high-throughput biology. This innovative approach aims to revolutionize the traditional methods of drug discovery, by enhancing the prediction and understanding of human cell-derived disease models, ultimately aiming to reduce development costs and time.

Company Stage

Series C

Total Funding

$825.4M

Headquarters

South San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

7%

1 year growth

20%

2 year growth

59%

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)