Find More Than 10K+
United Kingdom Jobs

Insilico Medicine is looking for a Middle/Senior Machine Learning Researcher/Engineer for Natural Language Processing (NLP) tasks in the biomedical domain. These tasks include text classification, information extraction from abstracts, patents, and clinical trials, multi-task learning, knowledge graph construction.
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]