Middle+ NLP Researcher/Engineer

Middle+ NLP Researcher/Engineer Remote

Insilico Medicine
Full Time Remote 10.56 - 12.04 GBP Today
Job description

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]

Middle+ NLP Researcher/Engineer
Insilico Medicine

www.insilico.com
Hong Kong, Hong Kong
Unknown / Non-Applicable
1 to 50 Employees
Company - Private
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