Job description
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 platforms across biology, chemistry, and clinical development.
The candidate will
- Research and develop state-of-the-art models for information extraction, text classification and data analysis
- Work on different types of data, combining relevant information across multiple sources and languages
- Collect datasets using various annotation tools, distant supervision, and expert annotations
- Engage with a biology team during development process
For Senior additionally
- Generation of ideas for research and development.
- Discussion of limitations, error analysis of results.
- Search and review state-of-the-art solutions & new datasets for NLP tasks.
- Provide mentorship for junior engineers to help them grow in their technical responsibilities and remove blockers.
Requirements
- Ph.D. or M.S. in related scientific or engineering field
- Experience with NLP and Language Processing
- Strong understanding of Machine Learning, Deep Learning and AI
- Strong background in Python programming is required (at least two years of experience)
- An ability to absorb a large amount of information from various sources
- An ability to quickly read and summarize scientific papers
- Motivation to learn new things and apply creative solutions
For Senior additionally
- Experience training junior engineers
Desirable skills
- Proven track of research publications in NLP
- Be experienced in PyTorch, Scikit-Learn, Transformers, Gensim, NLTK, Git, Linux, Bash, JupyterLab, Numpy, Pandas
- Be experienced in diverse language models, textual representations, pre-training language objectives, classical ML and DL approaches (Transformers, RNNs, CNNs)
- An ability to learn new libraries fast
- Perform error analysis of your results/models' predictions
Terms
- 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 start of a working day
Please send your CV to [email protected]