Data Scientist, Computational biology, (All Levels)

London

Relation Therapeutics overview

At Relation Therapeutics, we pioneer approaches in large-scale machine learning and high-resolution biology to discover new drugs for patients with diseases of high unmet need.

One of the core problems in drug discovery is understanding the biological mechanisms underlying disease. Our team combines single-cell profiling, biobank-scale genetics, experimental functional genomics, and end-to-end machine learning to decode and modulate the fundamental causes of ill health. We aim to transform drug discovery and development.

At Relation, we are committed to building diverse and inclusive teams. We are an equal opportunities employer and do 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 strive to create an interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential

By joining Relation, you will be part of an exceptionally talented team, have extraordinary leverage to push the field of drug discovery, and help shape our culture and strategic direction. Ultimately, your impact will be felt in patients' lives.

Opportunity

Joining Relation Therapeutics as a Data Scientist, Computational biology, you will be an essential member of our multidisciplinary team working closely with machine learning scientists, machine learning engineers, data engineers, and experimental scientists. Your role is pivotal in advancing our strategic priorities in computational biology. Your contributions will be instrumental in charting new frontiers in omics, and working with data from biobanks and clinical trials, including our proprietary Osteomics clinical trial. You will be identifying key data types, statistical methods, and tools, and staying at the forefront of bioinformatics methods for modern omics technologies. Your technical leadership will be crucial in developing our in-house bioinformatics data infrastructure, ensuring that Relation’s platform remains a leader in data-driven drug discovery.

Based at our headquarters in central London, you'll tackle the unique challenges presented by our scientific approach and demanding data processing pipelines. We offer access to cutting-edge resources, supporting your efforts to drive innovation and grow.

Role Responsibilities

• Design and implement computational pipelines for the analysis of large-scale biological datasets, including but not limited to genomics, transcriptomics, proteomics, and metabolomics.

• Develop statistical methods to identify novel drug targets and predict drug responses.

• Collaborate with cross-functional teams, including experimental biologists and machine learning scientists to advance drug discovery projects.

• Stay abreast of the latest developments in computational biology, machine learning, and bioinformatics to ensure the incorporation of best practices into our research.

• Contribute to the development and optimization of algorithms for data analysis and visualisation.

• Participate in the interpretation and reporting of results to stakeholders.
  

Professional Qualifications

• PhD in computational biology, human genetics, statistics, bioinformatics, computer science, or another quantitative discipline; or equivalent industrial experience.

• Demonstrable track record of delivering complex data science-driven projects.

• Proficiency in software development using Python, with upwards of 2 years of industry experience.

• Experience in at least one of the key domain areas of statistics, human genetics and omics.

• Familiarity with modern software engineering practices, collaborative tools, and CI/CD.

• Openness to engaging in machine learning projects and a willingness to develop skills in this area as needed.

Desirable Domain Knowledge

• 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 you will have a direct impact on advancing our understanding of disease biology, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in drug discovery. The patient is waiting!

Relation Therapeutics is a committed equal opportunities employer.