relationrx - Principal Data Scientist - Computational Biology
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Requirements
• A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. • Strong experience working with high-dimensional biological data, including transcriptomics and other omics modalities. • Proficiency in Python, with experience in scientific computing and data analysis. • A solid understanding of statistical modelling and quantitative methods applied to biological data. • Hands-on experience with single-cell and/or spatial omics data, including patient-derived samples. • Familiarity with machine learning approaches used in biological or biomedical research. • Experience working in interdisciplinary teams spanning biology, data science, and ML. • Exposure to scalable computing environments. • PERSONALLY, YOU ARE • A collaborative, inclusive team player who thrives in interdisciplinary environments. • A clear and thoughtful communicator, comfortable explaining complex ideas across disciplines. • Curious, impact-driven, and motivated by scientific discovery. • Humble, open-minded, and eager to learn. • Passionate about applying data and science to improve patients’ lives. • Relation Therapeutics is a committed equal opportunities employer. • RECRUITMENT AGENCIES: Please note that Relation Therapeutics 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.
Responsibilities
• Analyse and interpret single-cell, spatial, and other multi-omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. • Develop and apply statistical and computational methods for transcriptomics and related omics data. • Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. • Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. • Work with experimental teams to help design experiments and validate computational hypotheses. • Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. • A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. • Strong experience working with high-dimensional biological data, including transcriptomics and other omics modalities. • Proficiency in Python, with experience in scientific computing and data analysis. • A solid understanding of statistical modelling and quantitative methods applied to biological data.
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