Machine Learning Engineer

Job title:Principal/Senior Machine Learning Engineer

Location:Central Cambridge, UK (Hybrid/Flexible)

Reports to:Head of Platform Technology

Our Company

Ride Therapeutics is a recently formed transatlantic biotechnology company with the mission of unlocking the full potential of mRNA & gene editing therapeutics through targeted & tunable delivery of these modalities. Founded by world-leading scientists from Harvard University & the University of Cambridge, Ride’s unique technology platform provides an entirely new approach to solving the delivery challenge at the molecular level. Powered by micro- and nano-engineering coupled to advanced data science, Ride is building the capability to deliver any molecular cargo, to any cell type, with a tunable release profile.

The Opportunity

Ride Therapeutics is seeking a highly adaptable and innovative Machine Learning Engineer to drive machine learning and broader data analysis workflows for the development of innovative new nanoparticle drug delivery technologies for genetic medicines. Your work will directly contribute to advancing cutting-edge genetic medicines, transforming the landscape of biomedicine and potentially impacting millions of lives and enabling key scientific discoveries along the way. In this role, the Machine Learning Engineer will harness massive, complex datasets related to nanoparticles being used for delivery gathered with Ride’s proprietary discovery platform spanning chemistry, molecular biology, and cellular biology, leveraging Ride’s unique data to build and refine classification, predictive, and generative models that accelerate our research and development efforts. We seek a team member with a strong drive for continuous learning and the versatility to innovate in rapidly evolving AI/ML techniques, coupled with a desire to contribute to solving one of the most important challenges in the advancement of biomedicine.

Key responsibilities include, but not limited to:

• Design and implement machine learning workflows for developing predictive models for biological outcomes utilizing diverse data inputs such as chemical/physical descriptors and biomolecular sequences
• Apply supervised and unsupervised techniques to a variety of types of chemical and biological data
• Initiate transfer learning in instances where data is sparse and curate adjacent data from internal and external sources
• Expand and integrate data analysis pipelines to enhance data accessibility and scalability across all scientific areas of the company (chemistry, molecular and cellular biology)
• Effectively communicate complex ideas and concepts to those with limited knowledge and understanding

Required qualifications, experience and skills:

• PhD or equivalent in Machine learning, Computer Science, Physics, Applied Mathematics, Biology, Biochemistry, Chemistry, or a related discipline with a ML focus, or relevant industry experience
• Demonstrated experience in applying unsupervised, supervised, and/or generative models to solve problems involving scientific data, supported by top-tier publications or a strong portfolio of projects. Please include specific projects in resume/application.
• Industrial experience doing machine learning is a plus
• Familiarity with AWS, Azure or other cloud-based cluster computing workflows.
• Be highly motivated, taking initiative without needing constant supervision, is proactive in identifying tasks and problems, sets goals independently, and is confident in their ability to achieve results.
• The ability to quickly learn new techniques and work in small teams
• The ability to efficiently manage your time and project manage the projects you are leading
• The competence to participate in and contribute effectively to collaborative research projects
• Must have excellent and adaptable communication skills with expert and non-expert audiences.
• Desire to be part of a highly collaborative, dynamic, and agile team
• Fluency in English, both written and spoken

Ride Therapeutics is an equal opportunities employer. Consistent with the Equality Act 2010, all applicants will receive consideration for employment without regard to age; disability; gender reassignment; marriage and civil partnership; pregnancy and maternity; race; religion or belief; sex; sexual orientation. If you need assistance and/or any reasonable adjustments due to a disability during the application process, please make this known to the HR team.