Associate Scientist, Bioinformatics

Overview

The candidate will be a core member of a computational team developing and applying cutting-edge AI-driven protein engineering methods to design next-generation biotherapeutics, and will work closely with a dynamic and multidisciplinary team conducting associated protein engineering and preclinical analysis experiments. In particular, the role focuses on analysis and modeling of data collected as part of our diverse biotherapeutic development campaigns, with an initial primary focus on data from immunoassays including immunopeptidomics and T cell activation. The candidate will have the opportunity to build and use bioinformatics tools and pipelines to extract information from these rich datasets and thereby help guide design and engineering of life-altering innovative biotherapeutic agents.

Responsibilities

• Key responsibilities center on deploying, applying, evaluating, and improving bioinformatics tools and pipelines to manage, analyze, and interpret data regarding our biotherapeutic development campaigns, initially focusing on immunoassays including immunopeptides and T cell activation, which we use to assess the immune recognition of biotherapeutics.
• Additional responsibilities will include curation and targeted analysis of background Omics data relevant to our biotherapeutics. 
   

Requirements:

• An MS, or a BS with 1+ years of experience, in Bioinformatics, Quantitative Biomedical Sciences, Computer Science, Statistics, Mathematics, or a related quantitative discipline  
• Practical experience with bioinformatics tools and pipelines for analysis of large-scale biological data in general is required. Experience with immunology data is beneficial. Data analysis and management within cloud-based platforms is beneficial.  
• Proficiency in Python and relevant scientific, bioinformatics, and visualization packages is required. Additional beneficial proficiencies include creation of end-user available tools and web portals, along with use of REST APIs to access public datasets. 
• Practical experience in machine learning or image processing and analysis is beneficial

This position can be remote or hybrid in our research labs in NJ or NH.

Salary Range

$89,000 - $119,267 a year

Compensation & Benefits

At Insmed, we’re committed to investing in every team member’s total well-being, now and in the future. Our benefit programs vary by country but we offer the following to all Insmed team members, regardless of geographic location:

• 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)

For more information on U.S. benefits click here.

Additional Information

Insmed Incorporated is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Unsolicited resumes from agencies should not be forwarded to Insmed. Insmed will not be responsible for any fees arising from the use of resumes through this source. Insmed will only pay a fee to agencies if a formal agreement between Insmed and the agency has been established. The Human Resources department is responsible for all recruitment activities; please contact us directly to be considered for a formal agreement.

Insmed is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact us by email at TotalRewards@insmed.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

Applications are accepted for 5 calendar days from the date posted or until the position is filled.