Software Engineering Manager, Data Engineering

About this role

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.

Position

The Software Engineering Manager, Data Engineering will join a multi-disciplinary engineering team that develops systems handling multiple high-throughput (PB/week) high-content imaging data streams. The position's primary responsibility will be to lead a small team to design and support mission-critical computational pipelines to analyze proprietary microscopy data, in collaboration with the larger Engineering, Research and Information Technology teams.

About You

You are a software engineer at heart who enjoys discussing architecture and data design with senior peers. You actively code and collaborate while keeping team goals aligned with business objectives.

What You will Do

• Manage a small team of software engineers.

• Maintain essential computational pipelines and applications for ongoing scientific research.

• Build reliable, flexible data processing and data storage architecture to organize biological and microscopy datasets and extract features from Eikon’s proprietary data.

• Work with data lakes and data pipelines to organize, clean, and serve scientific data for diverse use cases.

• Define and evolve the engineering system architecture vision to support system features and user-facing capabilities.

• Characterize and communicate design trade-offs to technical and non-technical audiences.

• Collaborate with Product and Program Management to develop high-level roadmaps for key software deliverables satisfying defined system-level business needs and user acceptance tests.

• Stay up to date with emerging trends and advancements in machine learning, distributed systems, cloud technologies, and software engineering practices, and evaluate their potential impact on our internal products.

Qualifications

• Bachelor's degree with 15 years of relevant experience or a master's degree with 12 years of relevant experience or a PhD with 8 years of relevant experience in Computer Science, Software Engineering or a related field.

• Professional experience within the biotechnology, life sciences, diagnostics, or scientific instrumentation industry, with exposure to research, laboratory, clinical, or scientific data environments.

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