Senior Data Engineer

CHARM Therapeutics is a biotech focused on delivering transformational medicines that will address difficult-to-drug targets in key oncogenic pathways. CHARM has developed the first highly accurate, high throughput protein-ligand co-folding algorithm (DragonFold), driven by end-to-end 3D deep learning. Our platform enables the rapid generation of highly differentiated clinical candidates, our ambition is to revolutionise drug discovery. 

CHARM Therapeutics has established a state-of-the-art R&D facility in Cambridge, UK.  We are seeking a Senior Data Engineer with a passion for innovation.  This role will be instrumental in enabling our oncology-focussed drug discovery pipeline through establishing and improving our data platform.  The successful candidate must have excellent interpersonal and cross-functional collaboration skills, and will join a multidisciplinary, highly collaborative team of scientists and engineers to invent novel medicines.

Responsibilities

• Supporting drug design cycles across multiple programs by ensuring data transformations are operating at all times
• Architect and build a system for ingesting and organising internal and external data, including affinity data and structural data, enabling a drug discovery design cycles
• Liaising with program teams to optimise data usage in drug discovery, including chemistry and biology assay data, as necessary to support project decisions
• Coordinating external data curation
• Continually looking for opportunities to improve the accessibility of project data across the portfolio

Requirements

• 3+ years of experience in a biotechnology environment
• Strong data engineering skills
• Domain knowledge of key data resources to support drug discovery
• Familiarity with ChEMBL, GoSTAR or similar databases
• SQL for relational database querying
• Demonstrable ETL (Extract, Transform, Load) workflow experience,  standardisation and data wrangling skills in Python
• Strong team player with an inclusive mindset
• Proven track record of setting up and maintaining data analytics and visualisation systems
• Knowledge of collaborative data science environments (e.g. Jupyter Notebook)

Highly desirable skills

• MSc or higher degree in drug discovery, biochemistry, pharmacology, or medicinal chemistry
• Knowledge of ontologies
• Hands on experience of manipulating bioactivity data
• Familiarity with Electronic Lab Notebooks
• Familiarity with Linux and command line tools
• Knowledge of TIBCO Spotfire