Data Management Specialist

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 Iso Labs 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.

• 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 Iso Labs’ next generation of drug discovery ML models.
• Communicate your work and raise awareness of opportunities to improve data quality.

• 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 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.

• 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.

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in).

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.