Senior Informatics Engineer

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets.

We are currently seeking an experienced Informatics Engineer to contribute to the design, implementation, and development of our informatics processes and systems in support of all phases of our research pipelines. You will work closely with our scientists and engineers to capture and manage functional requirements, and you will be a core member of a team responsible for building scalable, AI-enabled solutions that fit into our information ecosystem and ensure the integrity of our data architecture.

You are agile of mind and effectively communicate difficult concepts. You work well within a fast-paced, mission-driven, dynamic environment and possess a deep desire to pursue creative solutions with broad guidance and a high degree of independence. You are prepared to tackle a broad selection of challenges as the company grows. You can partner with R&D leadership and functional area scientists to proactively identify areas of need, design solutions, prioritize work, make “build versus buy” decisions, coordinate pilot studies, ensure appropriate system usage, and regularly report on system metrics and portfolio execution.

• Actively participate in the administration, design, implementation, integration, development, and testing of informatics solutions, including LIMS/ELN software (e.g., Dotmatics, CDD Vault), Inventory Management systems (e.g. Mosaic), and AI/ML platforms (e.g., Databricks), to support R&D projects and scientific workflows.

• Design, build, and deploy AI agentic tools and LLM-powered workflows that automate scientific data processes and accelerate research decision-making

• Implement data warehouse / data lake systems and ETL pipelines to support advanced analytics and AI/ML strategy

• Design and build data automation pipelines and ETL processes that ingest, transform, and harmonize research data from multiple sources

• Collaborate with a cross-functional team to develop an end-to-end digital architecture roadmap

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