Design, build and maintain the research data infrastructure and management system.
Work to understand the needs of teams and scientists to design intuitive, easy-to-use data pipelines and effective web applications.
Lead, mentor, and build the Software and Data Science team.
in nimbly building applications that are useful and maintainable.
in executing R&D data science and informatics projects.
in industry standard software best practices (testing, reviews, methodologies).
in making buy vs build decisions.
Engineer batch and streaming data pipelines from disparate sources (cloud, analytical instruments, user/scientist-generated, APIs, etc.) into a modern data storage architecture.
Work closely with information technology, product management, and scientific research teams.
BS in Computer Science, electrical engineering, or related field (MS/PhD preferred), or equivalent experience.
Strong understanding of computer science.
Experience in managing, improving, and growing a software engineering and/or data science team.
Proven ability to manage multiple ongoing projects while leading a team and contributing code.
Experience with technical project and product management.
Strong skill in at least one memory-efficient language (ex: Rust, Golang, Java, Kotlin, C#, Swift, C++, C, Scala, Elixir, etc.).
Extensive experience with fullstack web application and service development (we primarily use Flask, R Shiny, Streamlit).
Extensive experience with API design and implementation (REST, GraphQL, etc.).
Extensive experience creating, working with, and maintaining data management systems (including knowledge of SQL, NoSQL, and data pipelines).
Demonstrated expertise in technical system design and architecture and design thinking.
10+ years experience in software engineering.
2+ years experience with cloud service architecture and development (AWS, GCP, Azure, or similar).
Passion for solving monumental problems.
Scientific research background – Food science, bioinformatics, pharmaceutical, life sciences experience, or similar science-related background is a big plus.
Machine learning and advanced statistical experience is a plus.
Tagged as: Computer Science, Engineering, Mathematics
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