Data Management Specialist, London

Your impact 

We’re looking for a data management specialist who is passionate about the curation and integration of high quality experimental data to support drug discovery projects. 

At IsoLabs you will be a core part of the data team, building our large scale, high quality data asset to power our next generation of groundbreaking AI/ML models. Your role will be to partner directly with discovery project teams to integrate data generated throughout drug design cycles. You will bring domain expertise in discovery data management to co-develop the technical solutions and experimental data workflows we need to accelerate decision making and reimagine drug discovery.

What you will do 

• Partner directly with discovery project teams to integrate experimental data generated throughout drug design cycles.
• Support drug design cycles so that all chemistry and biological assay data necessary to underpin project decision making is efficiently captured and available.
• Collaborate with internal and external teams to develop data exchange standards and implement user-friendly ELNs that ensure the integrity of ingested data.
• Apply your knowledge of chemical and/or biologics registration to facilitate effective compound management within internal databases.
• Contribute to the wider data team’s efforts to build a large, diverse, and high quality data asset that powers IsoLabs’ next generation of drug discovery ML models. 
• Communicate your work and raise awareness of opportunities to improve data quality.

Skills and qualifications 

Essential:

• Experience working in drug discovery informatics or data management roles for small and/or large molecule programs within the pharma/biotech industry.
• BSc, MSc or PhD degree in (bio)chemistry, pharmacology or relevant degree in the life sciences. 
• Experience working with a broad range of experimental assay readouts used in the drug discovery process (e.g. in-vitro, biophysical and/or cellular assays; ADMET properties).
• Good knowledge of ontologies, data management systems and the curation of data to adhere to high standards of scientific quality.
• Experience using and configuring an Electronic Lab Notebook (ELN) system and defining robust data exchange standards with third parties. 
• Working knowledge of Python and SQL with experience using cheminformatics and data science toolkits (e.g. RDKit, Pandas/Polars)
• Strong communicator and a proven collaborator with both multi-disciplinary biology/chemistry and product/engineering teams

Nice to have:

• Experience configuring and maintaining third-party drug discovery data management systems (e.g. Benchling, Dotmatics).
• Familiarity with data engineering concepts and experience with running jobs on Cloud-based infrastructure.