Data Scientist II - Machine Learning

Insmed EU Careers; Cambridgeshire and Peterborough; On-site; GBP 45,000 - 75,000; Full time

Job summary

A leading biopharmaceutical company is seeking a skilled Data Scientist specializing in Machine Learning. The role involves developing advanced computational tools and techniques to facilitate drug discovery for rare diseases. Successful candidates will have a strong background in data science and a passion for applying innovative solutions in healthcare.

Benefits

Flexible working arrangements

Health benefits and time-off plans

Competitive compensation package, including bonus

Equity Awards (Long-Term Incentives)

Employee Stock Purchase Plan (ESPP)

Qualifications

• Experience applying machine learning techniques to life science applications.
• Confident coding in Python and using libraries such as TensorFlow and PyTorch.
• Experience building robust ML and data science pipelines is essential.

Responsibilities

• Perform data integration, mining, and analytics across multi-omics datasets.
• Design and develop robust machine learning models for drug discovery.
• Collaborate with platform engineers to integrate ML models into pipelines.

Skills

Data processing and analysis

Machine Learning

Collaboration

Coding in Python

Education

Post-graduate degree in Machine Learning, Statistics, or related field

Tools

pandas

numpy

sklearn

pytorch

tensorflow

git

Job description

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.

Summary

Here at Insmed Cambridge, we believe that data drives discovery. We are developing the next generation of computational tools and machine learning models to accelerate therapeutic development for rare genetic diseases. To support this mission, we are seeking a talented and motivated Data Scientist with expertise in Machine Learning to join our growing team. In this role, you will help build a pioneering platform enabling data-driven drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis.

Responsibilities

• Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery, and compound optimisation.
• Design and develop robust machine learning models.
• Collaborate with platform engineers to integrate ML models into production-grade pipelines, APIs and cloud-based services.
• Building high-quality, well-tested and maintainable code
• Provide analytical and statistical rigour to empower better decision making during experimental design.
• Act as a subject expert to leverage data driven science working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists.

What we are looking for

• A post-graduate degree in machine learning, statistics, computer science, cheminformatics, bioinformatics, chemistry, biology, genetics, medicine or a similar area.
• Experience in applying machine learning techniques to life science applications and datasets.
• Strong data processing and analysis skills.
• Confident coding in python and using common libraries (numpy, pandas, sklearn, pytorch / tensorflow, etc.)
• Experience building robust ML and data science pipelines.
• Experience with git version control, with familiarity of different branching and merging strategies.

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)

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 [e-mail] 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.