Associate Software Engineer

Role Summary

Associate Software Engineer. This role is responsible for developing and managing scientific data solutions leveraging commercial and custom software tools to enable the capture, management, and integration of scientific data. The role involves close collaboration with laboratory scientists, software engineers, and external partners to facilitate data capture and maximize its usefulness in the R&D process.

Responsibilities

• Develop and maintain reliable software tools for R&D functions that accelerate and improve research processes.
• Configure and maintain lab information management solutions, including Dotmatics and Benchling suites.
• Develop and customize informatics solutions for functions, including protein and oligonucleotide therapeutics, by capturing and retrieving molecular properties along with associated experimental data.
• Collaborate with scientists, software developers, IT, and other stakeholders to deliver right-sized solutions; maintain and improve existing tools; contribute to long-term standardization efforts.
• Provide training, documentation, troubleshooting, and support to ensure adoption and proper use of all tools and systems managed by the team.
• Be a champion for scientific data quality.

Qualifications

• Required: Bachelor‚Äôs degree with 3+ years relevant experience.
• Experience in a Pharmaceutical/Industrial chemistry/Biotech environment and in working with LIMS, ELN, laboratory informatics projects, and/or scientific software development.
• Familiarity with common lab workflows and data management needs; ability to collaborate with scientists to understand and support processes. Hands-on lab experience is a plus but not required.
• Track record of delivering laboratory informatics solutions and applying modern software engineering practices to deliver applications and/or scientific data analyses.
• Experience developing and maintaining software applications or tools that are reliable, well-documented, and designed for ongoing use by others.
• Proficiency in web application development, especially Python (Django) and SQL, plus familiarity with version control, code review, and testing.
• Familiarity with cloud services, particularly AWS (EC2, ECS, S3) and containerized environments (Docker) is highly desirable.

Skills

• Software development in web applications with Python and SQL.
• Laboratory informatics, LIMS/ELN experience, data capture and management.
• Collaboration with cross-functional teams and ability to support scientific workflows.
• Documentation, training, and user-support capabilities.
• Quality focus for scientific data and ability to standardize processes.

Education

• Bachelor‚Äôs degree in a relevant field; 3+ years of experience in related roles.

Additional Requirements

• Experience with cloud services (AWS) and Docker is desirable.