Scientist II - Bioinformatics (Maternity Cover)

At Insmed, every moment and every patient counts — and so does every person who joins in. As a global biopharmaceutical company dedicated to transforming the lives of patients with serious and rare diseases, you’ll be part of a community that prioritizes the human experience, celebrates curiosity, and values every person’s contributions to meaningful progress. That commitment has earned us recognition as Science magazine’s No. 1 Top Employer for five consecutive years, certification as a Great Place to Work® in the U.S., and a place on The Sunday Times Best Places to Work list in the UK.

For patients, for each other, and for the future of science, we’re in. Are you?

About the Role

Insmed Cambridge are advancing an early-stage research engine encompassing a wide range of technologies and modalities to deliver powerful new ways of treating a broad range of serious and rare diseases. We are looking for a talented statistician to join our Informatics & Data Science team. You will apply your expertise across a wide range of projects to support and accelerate Insmed Innovation UK’s drug discovery and development programs. This role will act as a key contributor delivering high quality statistical analyses and contributing to key decision making on our projects. As part of this role, you will support the pursuit of scientific research from early-stage target discovery and validation to lead optimisation and candidate selection. This opportunity is a 1 year fixed term maternity cover contract.

What You'll Do

Provide analytical and statistical rigour to empower better decision making during experimental design, collaborating with lab scientists to ensure key scientific questions can be answered by the generated data.Provide robust and rigorous statistical analyses and interpretation of experimental results to aid our drug discovery programmes.Translate the results of statistical analyses to non-experts, explaining the methodology, the key assumptions, and the main outcomes of the analysis in a way that is easily consumed and understood.Develop techniques for better visualising and explaining complex statistical analyses.Collaborate with lab scientists to drive automation and standardisation of workflows for routine biological assays.Liaise with internal and external collaborators.

Who You Are

A post-graduate degree in statistics or maths.A strong understanding of statistics, experimental design, and their application across a range of data types.Experience with statistical modelling techniques (for example, ANOVA, linear modelling, random effects, Bayesian models, and power analysis).Confident coding in in either python or R for data science and statistics, and experience coding within a team.Experience presenting findings to non-experts.Proficiency with data visualisation tools and libraries (matplotlib, seaborn, ggplot etc).Experience with git version control, preferably with familiarity of branching and merging.This role will require you to work from our brand-new state-of-the-art offices and labs situated in Babraham Research Campus, South Cambridge. Hybrid working is offered based on specific business needs and the role requirements.

Life at Insmed

Our research site in Cambridge, UK is situated in brand new labs and offices at the Babraham Research Campus—a leading hub for bioscience innovation and collaboration. Our team of biologists, human geneticists, bioinformaticians, data scientists, computational and synthetic chemists bring together a wide range of technologies and modalities to deliver powerful new ways of treating serious diseases.

At Insmed, you’ll find a culture as human as our mission—intentionally designed for the people behind it. You deserve a workplace that reflects the same care you bring to your work each day, with support for how you work, how you grow, and how you show up for patients, your team, and yourself.

Our offerings include

Flexible work schedules with purposeful in-person collaboration

Competitive retirement benefits, global equity awards, and participation in our Employee Stock Purchase Plan (ESPP)

Career development through the Insmed Learning Institute, external programs, LinkedIn Learning, and role-specific training

AI-powered and on-demand learning tools, including a digital assistant to help navigate internal resources

Hybrid-friendly technology and IT support for seamless teamwork across locations and time zones

Global recognition programs and Employee Resource Groups

Eligibility for specific programs may vary and is subject to the terms and conditions of each plan

Eligibility for specific programs may vary and is subject to the terms and conditions of each plan.

Current Insmed Employees: Please apply via the Jobs Hub in Workday.

Insmed Incorporated is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, 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.