Machine Learning Researcher Remote
Insilico Medicine
Full Time
Remote
10.56 - 12.04 GBP Today
Job description
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
Requirements
Desirable skills
Terms and conditions
Please send your CV to [email protected]
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
Please send your CV to [email protected]
Insilico Medicine
www.insilico.com
Hong Kong, Hong Kong
Unknown / Non-Applicable
1 to 50 Employees
Company - Private
