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.
- Prior management and leadership experience.
- Prior experience building and supporting reliable production data pipelines.
- Strong proficiency in Postgres, Python, React, TypeScript.
- Experience in multiple strongly typed languages such as C++, C# or Java.
- Successful track record designing software and systems architecture, including API and database design, commercial application development, cloud services, and DevOps practices.
- Experience with architecting and building analysis software.
- Excellent verbal and written communication skills, ability to bridge the gap between scientific users, engineers and developers.
- Team-oriented, flexible, able to adapt to rapidly evolving goals and challenges.
- Demonstrated leadership skills in a changing organization with evolving processes.
At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:
- 401k plan with company matching
- Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)
- Mental health and wellness benefits
- Weeklong summer and winter holiday shutdowns
- Generous paid time off and holiday policies
- Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies
- Enhanced parental leave benefit
- Daily subsidized lunch program when on-site
The expected salary range for this role is $183,000 to $220,500 depending on skills, competency, and the market demand for your expertise.
Eikon is proud to be an equal opportunity employer and will consider all qualified applicants for employment.
We are currently not accepting any new third-party agencies or firms at this time. Please do not forward unsolicited agency resumes to our website, employees or Human Resources. Eikon Therapeutics will not pay fees to any third-party agency or firm associated with unsolicited resumes.
