Senior/Principal Data Scientist - Statistics

About Relation

Relation is an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.

This year, we’ve embarked on an exciting double collaboration with GSK to tackle fibrosis and osteoarthritis, alongside advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with their deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients.

We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into positive impact for patients.

We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and develop to their highest potential.

By joining Relation, you will be part of an exceptionally talented team, with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives.

Opportunity

This role is an exceptional opportunity for a data scientist with deep expertise in statistics to advance the field of drug discovery. As part of the Cross Indication team, you will design and implement statistical models to analyse high-dimensional datasets, driving impactful insights and innovative discoveries.

The Statistics team within Cross Indication focuses on developing statistical frameworks and methods to uncover actionable insights from complex biological data. By collaborating closely with experimental and machine learning teams, the group ensures that computational outputs align with strategic goals in drug discovery.

Your responsibilities

• Develop advanced statistical methods, including Bayesian approaches, to analyse high-dimensional datasets.
• Collaborate with experimental teams to design and analyse large-scale knockout experiments.
• Perform data integration and statistical modelling to identify and validate novel drug targets.
• Contribute to the development of computational tools and pipelines for statistical analysis.
• Communicate findings effectively to cross-functional teams and stakeholders.

Professionally, you have

• PhD in statistics, biostatistics, computational biology, or another quantitative discipline; or equivalent industrial experience.
• Expertise or an understanding of Bayesian statistics and high-dimensional data analysis.
• Proficiency in Python or R for statistical programming.
• Experience in experimental design and analysis for biological datasets.
• Demonstrable track record of delivering complex data science-driven projects.
• Experience in at least one of the key domain areas of statistics, human genetics and omics.

Desirable knowledge or experiences

• Robust understanding of advanced statistical techniques applicable to human biology, particularly in therapeutics development.
• In-depth knowledge of statistical human genetics with the ability to creatively apply principles in target identification and validation.
• Competency in statistical programming (e.g. Python, R) sufficient to enable large-scale genomic data analysis
• Experience working with databases and data types related to target identification and validation, including pathways, phenotypes, ontologies, chemical entities, clinical health records.
• Expertise in handling broad omics data types, including but not limited to single-cell transcriptomics, human genetics, and epigenetics data.
• Proficiency in data mining and/or management of large datasets.

Personally, you are

• Inclusive leader and team player.
• Clear communicator.
• Driven by impact.
• Humble and hungry to learn.
• Motivated and curious.
• Passionate about making a difference in patients’ lives.

Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting!

Relation is a committed equal opportunities employer.

RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.