Biomedical NLP Scientist for Drug Safety & Cheminformatics

Open Targets; United Kingdom; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading biomedical research organization in the UK seeks a skilled candidate to develop NLP methods for extracting drug-related information. You will collaborate with safety scientists from major pharmaceutical partners to enhance drug safety evaluation. Candidates should possess a PhD or a Master's degree in computational linguistics or related fields, with strong skills in machine learning and Python. Benefits include generous leave, flexible working, private medical insurance, and a relocation package.

Benefits

Private medical insurance

30 days annual leave

Flexible working arrangements

Generous family benefits

Qualifications

• Experience with language models such as transformer models and LLMs.
• Experience in data cleaning and transformation techniques.
• Knowledge of cheminformatics and bioinformatics databases.

Responsibilities

• Develop machine learning pipelines to extract drug side effects.
• Investigate NLP methodologies for data extraction.
• Collaborate with scientists to assess and refine methods.

Skills

Machine learning pipelines development

NLP methodologies

Data extraction from scientific literature

Python programming

Collaboration skills

Attention to detail

Version control

Education

PhD or Masters in computational linguistics, computer science, bioinformatics, or cheminformatics

Tools

pySpark

pandas

Job description

A leading biomedical research organization in the UK seeks a skilled candidate to develop NLP methods for extracting drug-related information. You will collaborate with safety scientists from major pharmaceutical partners to enhance drug safety evaluation. Candidates should possess a PhD or a Master's degree in computational linguistics or related fields, with strong skills in machine learning and Python. Benefits include generous leave, flexible working, private medical insurance, and a relocation package.