Full-Time

Associate Scientist II

Neuroscience

Confirmed live in the last 24 hours

Insitro

Insitro

201-500 employees

Machine learning-driven drug discovery and development

Data & Analytics
AI & Machine Learning

Mid

San Bruno, CA, USA

Required Skills
Python
R
Requirements
  • Two (2) years of drug discovery experience in a biotech/pharmaceutical setting
  • Experience with the execution of cellular assays at mid and high throughput scale
  • Demonstrated ability to work in cross-functional teams
  • Experience and knowledge of neurological and psychiatric disorders
  • Experience with analysis scripts in python, R, and collaborative platforms
  • Hands-on experience with high throughput automated cell culture and dosing equipment
Responsibilities
  • Develop, optimize, and perform cellular assays to support the Neuroscience therapeutic area
  • Culture iPSC-derived cell-types related to neurological models
  • Maintain accurate documentation of experiments in electronic lab notebook
  • Evaluate and implement new enabling technologies and methodologies
  • Collaborate with colleagues on multi-disciplinary project teams

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)