At a Glance
- Tasks: Own data pipelines for transforming experimental and synthetic data in a cutting-edge biotech environment.
- Company: Join Iambic Therapeutics, a leader in innovative biological research.
- Benefits: Competitive pay, private medical insurance, life assurance, and flexible holidays.
- Other info: Hybrid role in a modern Bristol office with great collaboration opportunities.
- Why this job: Make a real impact on the future of drug discovery with advanced technologies.
- Qualifications: PhD or equivalent experience in Bioinformatics or related fields; strong Python skills.
The predicted salary is between 50000 - 70000 £ per year.
Iambic Therapeutics is seeking a Biological Structures Data Engineer to join the NeuralPLexer team and own the data pipelines for acquiring, curating, and transforming experimental and synthetic data to train the next generation of NeuralPLexer models. This role requires deep fluency with structural data (.cif files, the PDB, and the work of integrating structural data from many different sources which typically requires careful adaptation before it is usable). Working alongside ML scientists, you will design, implement, and harden the workflows that prepare experimental structural (e.g., protein–ligand complexes) and affinity data for training, and help create and ingest large volumes of high‑quality computationally generated synthetic data. The emphasis is on turning detailed domain knowledge into well‑engineered, maintainable infrastructure that the rest of the team can depend on, rather than bespoke one‑off handling. This position will be hybrid in our Bristol office.
Key Responsibilities
- Understand, maintain, and enhance existing data pipelines, including parsing and validation of structural data (.cif/PDB and beyond)
- Integrate and adapt data from a range of public and proprietary sources into reliable, reusable pipelines
- Work closely with ML scientists to ensure their data needs are met
- Ensure all data is stored in a secure, robust, and retrievable manner
- Perform code reviews and exemplify software engineering best practices.
- Communicate technical work effectively across a cross‑functional research and engineering team
Qualifications
- PhD or equivalent experience in Bioinformatics, Computational Biology, Cheminformatics or a related field (Engineer I) or with 3+ years of relevant experience (Engineer II)
- Hands‑on familiarity with structural biology data (.cif files, the PDB, and practical challenges of working with real‑world molecular structures)
- Strong software engineering practices, focusing on maintainable, well‑tested systems
- Proficiency in Python
- Comfortable operating in a research‑driven environment; developing, learning, and adapting cutting‑edge technologies
- Strong collaboration skills and ability to communicate across a cross‑functional research and engineering team
Preferred
- Experience designing data pipelines or data infrastructure for heterogeneous or large‑scale datasets
- Familiarity with additional drug‑discovery‑relevant data types
- Experience contributing to a data lake or comparable centralized data platform
- Familiarity with auxiliary data or data transformations relevant to protein structure prediction
- Exposure to cloud‑based systems (e.g., AWS, Kubernetes) and/or HPC
- Background bridging science and software engineering
Pay And Benefits
We offer a competitive compensation package, private medical insurance, life assurance, pension contributions, and flexible holiday allowances to our team. Our UK office provides a modern and collaborative work environment, right in the centre of Bristol.
Biological Structures Data Engineer I/II employer: Iambic
Iambic Therapeutics is an exceptional employer, offering a dynamic and collaborative work environment in the heart of Bristol. With a strong focus on employee growth, we provide competitive compensation, private medical insurance, and flexible holiday allowances, ensuring our team members thrive both personally and professionally. Join us to be part of a cutting-edge team that values innovation and teamwork in the exciting field of bioinformatics.
