Full-Time

AI Scientist

Deep Learning

Confirmed live in the last 24 hours

Absci

Absci

51-200 employees

Generative AI for accelerated drug discovery

Data & Analytics
AI & Machine Learning
Biotechnology

Expert

Remote in USA + 1 more

Required Skills
Python
Data Science
Pytorch
Pandas
NumPy
Requirements
  • PhD in Machine Learning or equivalent practical experience
  • Publications at major machine learning conferences & scientific journals, or extensive experience creating deep learning models in industry
  • Strong Python programming skills, including with Numpy, Scipy, and Pandas, with emphasis on data science and machine learning applications
  • Experience designing and training complex deep learning models in PyTorch or related platforms
  • Demonstrated ability to work collaboratively on projects with multiple contributors
Responsibilities
  • Design, implement and evaluate cutting-edge generative models for protein design
  • Effectively report and communicate research findings to AI and wet-lab teams across the company
  • Develop sampling techniques for designing diverse proteins
  • Collaborate with data scientists and wet-lab biologists on the design and integration of wet-lab experiments
  • Deploy large-scale distributed training systems on our in-house A100-based supercomputer

At Absci, employees work at the cutting edge of biotechnological innovation in drug discovery, leveraging a unique Integrated Drug Creation™ platform that synergistically combines AI and synthetic biology. This approach not only accelerates the development of biologics but also positions the company as a leader in the pharmaceutical technology industry. The culture fosters rapid validation of AI-designed antibodies, creating a dynamic and results-driven environment that is dedicated to making significant impacts on patient health globally.

Company Stage

IPO

Total Funding

$324.3M

Headquarters

Vancouver, Washington

Founded

2011

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-13%

2 year growth

-16%