Job Description
Job title: Senior Data Scientist (AI/ML)
Location: Central Cambridge, UK (Hybrid option)
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 Data Scientist to drive data analysis and machine learning workflows for the development of innovative new nanoparticle drug delivery technologies for genetic medicines. In this role, the Data Scientist will harness massive, complex datasets gathered with Ride’s proprietary discovery platform spanning chemistry, molecular biology, and cellular biology, leveraging Ride’s unique data to build and refine predictive 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 data analysis and 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 are not limited to:
1. Lead data analysis, data management, and machine learning activities across the company.
2. 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.
3. Curate and manage datasets across various biological assays and develop and maintain robust analysis pipelines.
4. Expand and integrate database connections and cloud computing solutions to enhance data accessibility and scalability.
5. Effectively communicate complex ideas and concepts to those with limited knowledge and understanding.
Required qualifications, experience and skills:
1. PhD or equivalent in Machine learning, Physics, Applied Mathematics, Biology, Biochemistry, Chemistry, or a related discipline with a computational focus, or relevant industry experience.
2. Experience in cheminformatics, bioinformatics, scientific computing, Python, SQL, electronic lab notebook integrations and cloud computing.
3. Experience working in an industrial setting for 3+ years desired.
4. Demonstrates a high proficiency in computational workflow development, data analysis, project management and communication of results.
5. The ability to quickly learn new techniques and work in small teams.
6. The competence to participate in and contribute effectively to collaborative research projects.
7. Desire to be part of a highly collaborative, dynamic, and agile team.
8. Fluency in English, both written and spoken.
Please ensure a cover letter is attached to your CV at the time of applying.
Additional pay:
* Bonus scheme
* Employee stock ownership plan
Benefits:
* Work-from-home
* Company pension
* Life insurance
* Cycle to work scheme
* Free parking
Ride Therapeutics is an equal opportunities employer. Consistent with the Equality Act 2010, all applicants will receive consideration for employment without regard to reassignment, marriage and civil partnership, and maternity. If you need assistance and/or any reasonable adjustments during the application process, please make this known to the HR team.
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