Scientific Developer: Cheminformatics for Drug Safety AI

European Bioinformatics Institute | EMBL-EBI; England; Hybrid; GBP 39,000 - 43,000; Full time

Benefits offered by this job

Hybrid working patterns

Private medical insurance for you and/

30 days annual leave

Relocation package

Campus life benefits

Job summary

EMBL-EBI is seeking a scientific developer to join the Open Targets Safety 2.0 project. You will build machine learning pipelines for extracting safety data and integrate them into The ChEMBL and Open Targets platforms. The role is embedded within the Chemical Biology Resources team on a 2-year contract.

Applicants should have a PhD or equivalent, Python proficiency, and strong communication skills. Hybrid working arrangements are available in the UK, with generous benefits and relocation

Qualifications

• PhD or equivalent experience in cheminformatics, bioinformatics or another relevant scientific discipline.
• Proficiency in Python.
• Excellent attention to detail and problem-solving skills.
• Strong communication skills, both presentations and verbal.

Responsibilities

• To work closely as part of a team across Chemical Biology Resources and Open Targets to deliver a drug side-effect resource.
• Develop machine learning pipelines for extracting drug side effects from drug labels, clinical trials, publications and other documents, and mapping to biomedical ontologies.
• Integrate project workflows with existing infrastructures in the EBI Chemical Biology Resources and Open Targets teams.
• Assist with data curation to prepare clean and reliable training sets.
• Collaborate with the Open Targets pharmaceutical partners to assess, prioritise, validate and refine the developed methods.
• Disseminate the outcomes of the project to the scientific community and stakeholders through presentations and publications.

Skills

Python

Attention to detail

Communication skills

Education

PhD or equivalent in cheminformatics or bioinformatics

Tools

Git

Job description

EMBL-EBI is seeking a scientific developer to join the Open Targets Safety 2.0 project. You will build machine learning pipelines for extracting safety data and integrate them into The ChEMBL and Open Targets platforms. The role is embedded within the Chemical Biology Resources team on a 2-year contract.

Applicants should have a PhD or equivalent, Python proficiency, and strong communication skills. Hybrid working arrangements are available in the UK, with generous benefits and relocation