Insilico Medicine is 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 probabilities of success.
Insilico Medicine is seeking a Machine Learning Researcher/Engineer for molecular predictive models in Chemistry & Biology.
The candidate will:
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Research and develop predictive models
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Find innovative ways to improve the metrics drastically
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Design graph/string/descriptors-based model architectures in application to chemical tasks
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Test and optimize existing solutions
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Analyze and interpret the chemical space for predictions
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Implement various algorithms in Python for the predictive pipeline
Requirements:
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Experience in ML competitions (Kaggle, etc.)
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A strong background in ML and DL
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At least two years of experience in Python
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An ability to quickly test hypotheses with prototypes
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An ability to absorb a large amount of information from various sources
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An ability to see patterns in data
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Feature engineering ability
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Motivation to learn new things and apply creative solutions to improve drug discovery
Desirable skills:
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Successful experience in machine learning competitions
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Proven track of research publications in machine learning or drug discovery
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Be experienced in Numpy, Pandas, Pytorch, Scikit-Learn, RDKit, Git, Linux, Bash, JupyterLab, Plotly
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Be experienced in diverse classical ML and DL approaches: Transformers, RNNs, CNNs, GNNs, Gradient Boosting
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Knowledge of Chemoinformatics
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An ability to learn new libraries fast
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An ability to implement and bring to production the best prototypes
Terms and conditions:
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Fixed salary + annual bonus
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Voluntary health insurance program and language courses (English and Chinese) after the probation period
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Reimbursement of training programs, participation in conferences and webinars, course certificates
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Friendly team and warm environment
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Flexible start of a working day
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