Role Overview & Specifications
We are an end-to-end, artificial intelligence-driven pharma-technology company with a mission to accelerate drug discovery and development by leveraging our rapidly evolving, proprietary platform across biology, chemistry, and clinical development. Our Pharma.AI platform has the potential to rapidly bring novel breakthrough medicines to patients while decreasing costs and increasing the probabilities of success.
Insilico Medicine is seeking a Machine Learning Researcher for molecular predictive models in Chemistry & Biology:
The candidate will
Research new state-of-the-art predictive models
Prototype existing or new ML predictive approaches
Propose various solutions to improve the predictive performance of the models and the predictive pipeline
Make experiments (i.e., build predictive models) with the provided dataset
Requirements
Strong background in ML
At least two years of experience in Python
An ability to test hypotheses and prototype in a short time
An ability to absorb a large amount of information from various sources
Motivation to learn new things and apply creative solutions to improve drug discovery
Proven track of scientific publications in machine learning for the last 1 year
Experience in Numpy, Pandas, Pytorch, Scikit-Learn, Git, Linux, Bas
Desirable skills
Background in DL
Feature engineering
Successful experience in machine learning competitions
Be experienced in RDKit, CGRTools, ChemAxon
Knowledge of Cheminformatics will be an advantage
Terms and conditions
Fixed salary + annual bonus
Voluntary health insurance program and language courses (English and Chinese) after the probation period
Reimbursement of training programs, participation in conferences and webinars, course certificates
- Friendly team and warm environment
- Flexible working schedule
About Insilico Medicine
Insilico Medicine is an actively verified employer hiring talent across technology, engineering, and operations.
- Headquarters: United States / United Kingdom
- Company Size: 1,000+ employees
- Trust Rating: 95 / 100 (Official Registry Audited)