Sr Application Developer

Regeneron Pharmaceuticals - Tarrytown, NY

Full-time - Mid Level

Tarrytown, NY

Professional, Scientific, and Technical Services

About the position

The Sr. Application Developer at Regeneron Pharmaceuticals will play a crucial role in developing and maintaining applications that analyze and interpret vast amounts of genetic data. This position aims to empower scientists at the Regeneron Genetics Center by providing high-quality, flexible tools for large-scale genome-wide analyses, ultimately contributing to the development of better medicines for patients.

Responsibilities

• Implement new features to existing applications based on user needs and state-of-the-art genetic analysis methods.
• Modernize and optimize existing applications to enhance performance.
• Develop new applications and functions to support novel analysis types.
• Maintain, optimize, and implement new features to web applications, APIs, and command line interfaces (CLI).
• Collaborate with other developers on priority tasks and assist both back-end and front-end developers.
• Provide user support by addressing questions, understanding specific use cases, fixing bugs, and writing documentation.
• Communicate and brainstorm new ideas with colleagues who are experts in analysis methods or users of the tools being developed.

Requirements

• Master's degree in Computer Science, Bioinformatics, Biomedical Engineering, or a related field with a minimum of 4 years of relevant experience in Computational Biology or a related field.
• Expertise in web application and/or software development.
• Experience working on a Linux/UNIX command line and SQL databases.
• Proficiency in high-level programming languages like Python.
• Experience in developing web applications with Python and/or JavaScript (e.g., Flask and React).
• Familiarity with data visualization using D3 and Canvas.
• Experience in continuous integration and continuous development (CI/CD) is preferred.
• Experience contributing to the development of open-source bioinformatics tools using standard methodologies in version control.
• Experience working with biological or genomics data is a plus.

Nice-to-haves

• Familiarity or strong interest in statistical genetics, human genetics, or computational genomics.
• Ability to effectively communicate methods and present code to various technical audiences.
• Enjoyment of working in a highly interactive environment with a diverse team.

Benefits

• Health and wellness programs
• Fitness centers
• Equity awards
• Annual bonuses
• Paid time off for eligible employees