Cheminformatics Engineer - Drug Safety & Side Effects

1000 European Molecular Biology Laboratory; Hinxton; Hybrid; GBP 39,000 - 43,000; Full time

Benefits offered by this job

Hybrid working patterns

Relocation package

Private medical insurance

30 days annual leave

Pension scheme

Job summary

EMBL-EBI, based at the Wellcome Genome Campus, Hinxton, UK, seeks a scientific developer to build ML pipelines for extracting safety data in cheminformatics and bioinformatics. You will contribute to an open data resource, collaborating with Open Targets and partner teams to ensure robust data integration.

You will work on processing diverse sources, mapping outputs to ontologies, and contributing to open source resources, with a focus on safety data for drug targets and discovery teams.

Qualifications

• PhD or equivalent experience in cheminformatics, bioinformatics, or related field.
• Proficiency in Python and data processing.
• Experience with NLP methods in biomedical domain is a plus.

Responsibilities

• Develop machine learning pipelines to extract safety data from diverse sources.
• Map extracted data to biomedical ontologies.
• Collaborate across teams to integrate pipelines into existing infrastructures.
• Assist with data curation to prepare training sets.
• Disseminate results via presentations and publications.
• Maintain code and pipelines with version control and testing.

Skills

Python programming

Communication skills

Problem solving

Attention to detail

NLP in biomedicine

Text preprocessing

Version control

Education

PhD or equivalent in cheminformatics/bioinformatics

Tools

Git

Databases

Ontology mapping

Job description

EMBL-EBI, based at the Wellcome Genome Campus, Hinxton, UK, seeks a scientific developer to build ML pipelines for extracting safety data in cheminformatics and bioinformatics. You will contribute to an open data resource, collaborating with Open Targets and partner teams to ensure robust data integration.

You will work on processing diverse sources, mapping outputs to ontologies, and contributing to open source resources, with a focus on safety data for drug targets and discovery teams.