Sr. Research Associate, Data Science

Insmed Incorporated • Lebanon, NH

117d • $80,000 - $105,800 • Remote

About The Position

The biologics research group at Insmed develops and applies cutting-edge AI-driven protein engineering methods to design next-generation biotherapeutics. The candidate will be a core member of the computational team and will collaborate closely with multidisciplinary experimental teams in biologics discovery. In particular, the role focuses on data analysis, visualization, and statistical modeling of data collected as part of our diverse biotherapeutic development campaigns. The candidate will have the opportunity to build and use tools to derive information from these rich datasets and thereby help guide design and engineering of life-altering innovative biotherapeutic agents.

Requirements

• BS in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.
• 1-2 years of experience in a relevant field.
• Mastery of software development in Python.
• Practical experience with computational and statistical methods for data analysis.

Nice To Haves

• Experience in machine learning or image processing and analysis.
• Experience with cloud-based platforms and database integration.
• Creation of end-user tools and web portals.

Responsibilities

• Deploy, apply, evaluate, and improve tools to manage, analyze, interpret, and visualize data regarding biotherapeutic development campaigns.
• Collaborate closely with associated experimental teams.
• Focus on primary data from collaborating groups and expand to include curation and targeted analysis of public data relevant to biotherapeutics.
• Master software development in Python and use relevant analytical, statistical, scientific, and visualization packages.
• Utilize computational and statistical methods for analysis of both small and large scale data.
• Manage and analyze data within cloud-based platforms, including integration with databases.
• Create end-user available tools and web portals and use REST APIs to access public datasets.
• Practical experience in machine learning or image processing and analysis is beneficial.

Benefits

• Flexible approach to how we work.
• Health benefits and time-off plans.
• Competitive compensation package, including bonus.
• Equity Awards (Long-Term Incentives).
• Employee Stock Purchase Plan (ESPP).

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree