Nxera Pharma
SCIENTIFIC DATA ENGINEER
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SCIENTIFIC DATA ENGINEER
Location: Central London, UK
Department: Data & Cheminformatics
Type: Full-time, Permanent
Reports to: VP of Cheminformatics & Data Architecture
About Nxera Pharma
Nxera Pharma is establishing a new AI-enabled discovery initiative to build a high-throughput, AI- and physics-driven GPCR discovery engine that complements our world-class experimental capabilities and extensive proprietary structural and chemogenomic data assets originating from Heptares Therapeutics. This initiative sits within our newly formed NxAQ organisation.
AI is being deployed across the NxWave™ platform, trained on the industry's most extensive proprietary GPCR structure–ligand dataset and paired with our curated chemogenomic library of GPCR-focused small molecules.
Our mission is to unlock the vast untapped potential of G protein-coupled receptors (GPCRs) through computational and experimental innovation, enabling the design of first-in-class therapeutics across metabolic, neurological, immunological, and rare diseases.
As part of Nxera's mission to redefine drug discovery through advances in artificial intelligence and quantum mechanics, we are seeking a Scientific Data Engineer to help build the data foundations that power next-generation AI-driven research.
The Role
As a Scientific Data Engineer, you will join the Data & Cheminformatics team and play a key role in developing our next-generation data platform. You will design and maintain scalable data pipelines, integrate diverse scientific datasets, and create high-quality data products that enable AI/ML and computational drug discovery across the AI Research and Computational Chemistry teams.
What You’ll Do
- Design, build and maintain automated data transformation pipelines using Prefect workflows to clean, standardise and integrate scientific datasets within our data lake.
- Develop robust data ingestion pipelines for external scientific resources, including literature, patents, SAR data, competitor intelligence, and structural datasets.
- Productionise and integrate cheminformatics workflows for compound standardisation, registration, and molecular property and feature calculation.
- Help implement data lineage, governance, access control, and data quality frameworks across the platform.
- Collaborate closely with Cheminformatics, AI Research, and Computational Chemistry teams to model, capture, and manage workflow outputs effectively.
- Contribute to analytical capabilities that monitor key scientific and operational metrics, including model performance, experimental cycle times, and computational costs.
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What You’ll Bring
Essential experience
- PhD, or equivalent industry experience, in a relevant scientific discipline such as Bioinformatics, Cheminformatics, Chemistry, or Computational Chemistry.
- Demonstrated experience (typically 5+ years) designing data models, working with relational databases, and developing ETL/ELT pipelines.
- Strong programming skills in Python and SQL, with experience using workflow orchestration platforms such as Prefect, Airflow, or Dagster.
- Familiarity with drug discovery databases and scientific resources including PDB, ChEMBL, PubChem, ClinicalTrials.gov, PubMed, and SureChEMBL.
- Practical experience working with chemical structures and cheminformatics libraries such as RDKit.
- Solid understanding of software engineering best practices, including version control, containerisation, CI/CD, automated testing, and code review.
- Excellent communication skills with the ability to collaborate effectively across multidisciplinary scientific and engineering teams.
Desirable experience
- Experience working with modern data lakehouse technologies and cloud data warehouse platforms such as Parquet, Apache Iceberg, DuckDB, Databricks, or Snowflake.
- Experience using Prefect in production environments.
- Experience working within AWS cloud infrastructure.
- Familiarity with experimental drug discovery datasets, including structural biology, assay, and synthesis data, together with ELN or scientific data management systems.
- Experience implementing data governance frameworks and access control mechanisms.
- API development experience and familiarity with the Model Context Protocol (MCP).
- Hands-on experience using AI coding assistants or agentic development tools such as Claude Code, Cursor, or Codex.
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Why Join Nxera Pharma?
- Help shape the future of AI-driven drug discovery within a company founded on scientific excellence and innovation.
- Work at the intersection of mathematics, machine learning, and molecular biology, transforming the way therapeutics are discovered.
- Collaborate with world-class scientists, engineers, and computational researchers united by a shared mission to bring precision medicines to patients faster.
- Play a pivotal role in building the data infrastructure that enables cutting-edge scientific research and AI innovation.
What’s in it for you?
- Competitive salary and discretionary annual bonus.
- Eligibility for Restricted Stock Unit (RSU) awards.
- 26 days' annual leave, plus public holidays, with the option to purchase up to five additional days each year.
- Employer pension contributions.
- Private medical insurance for you and your family, plus a healthcare cash plan covering dental and optical expenses.
- Health and wellbeing benefits, including a subsidised individual gym membership.
- Income protection for long-term illness.
- Group Life Assurance providing four times your annual salary.
Diversity & Inclusion
At Nxera Pharma, we are passionate about delivering life-changing medicines to patients. We foster an open, collaborative, and inclusive environment where everyone can bring their authentic selves to work and where diverse perspectives drive better science.
Our culture is built on respect, curiosity, and belonging. We believe inclusivity is not an initiative but a fundamental part of who we are, and we remain committed to fairness, equity, and equal opportunity for all.
How to Apply
Please submit your CV together with a covering letter outlining your interest in the role and how your background aligns with the position.
Join us at Nxera Pharma—where AI, data, and biology come together to transform the future of medicine!
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