Associate Scientist, Data Science
Lebanon, NH, United States
Full Time Mid-level / Intermediate USD 89K - 119K
Insmed Incorporated
At Insmed, we make a difference in the lives of patients with serious & rare diseases through innovative drug development & a patient-first culture.Company Description
Insmed is a global biopharmaceutical company on a mission to transform the lives of patients living with serious and rare diseases. Our most valuable resource is our employees, and everything we do is motivated by a patients-first mentality. We are dedicated to growing our team with talented individuals from around the world who are willing to challenge the status quo, solve problems, and work collaboratively with a sense of urgency and compassion.
Guided by our core values of collaboration, accountability, passion, respect, and integrity, we aim to foster an inclusive, diverse, and flexible work environment, where our employees are recognized for leaning in and rolling up their sleeves. If you share our vision and want to work with the most dedicated people in the biopharma industry, come to Insmed to accelerate your career.
Recognitions
Consistently Ranked Science’s Top Employer
Insmed is dedicated to creating a collaborative environment where our team can thrive. Every day, our employees turn their passion for science and research into innovative solutions for patients. That’s why we’ve been named the No. 1 company to work for in the biopharma industry in Science’s Top Employers survey for four years in a row.
A Certified Great Place to Work®
We believe our company is truly special, and our employees agree. In July 2024, we became Great Place to Work-certified in the U.S. for the fourth year in a row. We are also honored to have been listed on the Best Workplaces in Biopharma™, Best Workplaces in New York™, PEOPLE® Companies That Care, Best Workplaces for Women™, Best Workplaces for Millennials™, and Best Medium Workplaces™ lists.
Overview
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.Responsibilities
- Key responsibilities center on deploying, applying, evaluating, and improving tools to manage, analyze, interpret, and visualize data regarding our biotherapeutic development campaigns, in close collaboration with associated experimental teams. This will initially focus on primary data from the collaborating groups, but will expand to include curation and targeted analysis of public data relevant to our biotherapeutics.
- Mastery of software development in Python is essential, as is the use of relevant analytical, statistical, scientific, and visualization packages.
- Practical experience with computational and statistical methods for analysis of both small and large scale data is required. Management and analysis of data within cloud-based platforms, including use of and integration with databases, is beneficial.
- Additional beneficial proficiencies include creation of end-user available tools and web portals and the use of REST APIs to access public datasets. Practical experience in machine learning or image processing and analysis is beneficial.
- An MS, or a BS with 1-2 years of experience, in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline
Salary Range
$89,000 - $119,267 a yearCompensation & 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 employer. We do not discriminate in hiring on the basis of physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. 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.
Tags: APIs Computer Science Data analysis Engineering Machine Learning Mathematics Protein engineering Python Research Statistical modeling Statistics
Perks/benefits: Career development Competitive pay Equity / stock options Flex vacation Health care Salary bonus
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