Software Data Engineer (UK)

JOB SUMMARY

In this role, you'll play a pivotal part in building and optimizing data pipelines that transform large, multi-modal datasets into high-quality training inputs for cutting-edge AI models for drug discovery. You'll help evolve our data pipeline and storage infrastructure to support faster, more reliable turnarounds for research and development of new models.

You'll join a multidisciplinary team, collaborating closely with ML scientists, software developers and DevOps engineers to improve the performance and reliability of Python-based workflows. As a key contributor, you'll participate in the design, testing, and maintenance of core software systems, conduct thoughtful code reviews, and champion engineering best practices-including version control, testing, and documentation.

This role is remote, with preference for candidates on the East Coast or UK.

KEY RESPONSIBILITIES

• Design and improve data pipelines that process large, multi-modal datasets from a variety of internal and external sources into training datasets for AI models.

• Evolve our data storage layer to support analytics, schema evolution, reproducibility, and efficient data access.

• Collaborate with ML engineers to improve the performance and reliability of Python-based data processing workflows.

• Collaborate on the creation, testing and maintenance of software systems

• Code review for pull requests in adjoining areas

• Maintenance of and mentorship in software best practices, including version control, testing and documentation

• Clear oral communication of work in meetings and company demos, at a level suited to the audience

QUALIFICATIONS

• Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.

• Proven ability to design flexible, maintainable ETL systems.

• Experience with data pipeline orchestration tools such as Prefect, Airflow, Argo, Databricks, or Spark.

• Understanding of the ML model lifecycle; prior work with scientific or ML workflows is a plus.

• Hands-on experience with multi-terabyte scale data processing.

• Familiarity with AWS; Kubernetes experience is a bonus.

• Knowledge of data lake technologies such as Parquet, Iceberg, AWS Glue etc.

• Strong Python software engineering skills.

• Pragmatic mindset - able to evaluate tradeoffs find solutions that empower ML researchers to move quickly.

• Background in bioinformatics or chemistry is a plus.

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai .

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer a competitive compensation package, 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.