Data Acquisition Manager,

London

Relation Therapeutics overview 

Relation Therapeutics is a TechBio company pioneering recommender systems biology to bring forward new drugs for patients with diseases of high unmet need. 

Relation are combining single-cell profiling, human genetics, functional genomics, and end-to-end machine learning to better understand human biology. The company’s ultimate goal is to transform how drug discovery & development is conducted, leading to new medicines for diseases where there is a tremendous need. 

Relation is using graph-based recommender system technologies to reveal causal relationships in diseases that until now have been impossible to understand using traditional technologies. Ultimately, Relation’s platform will be capable of identifying which areas of biology to focus on and greatly accelerates discovery research efforts for diseases that have not previously been widely researched.

At Relation we embrace diversity, equality and inclusion and we are committed to building diverse 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 inclusive interdisciplinary workplace that cultivates innovation through collaboration, empowering and supporting everyone to do their best work and develop to their highest potential.

Opportunity

Join us as a Data Manager if you would like to create and deliver on our company-wide data strategy. At Relation we use data from open-access research platforms, large biobanks, proprietary sources, and from our pioneering clinical studies and lab experiments. You will help us navigate a complex and rapidly moving data landscape to uncover scientific potential and accelerate our drug discovery efforts.

You will have extraordinary leverage to identify and integrate valuable new datasets. You’ll help us ensure the responsible use of our data in compliance with evolving regulatory standards. The ideal candidate for this role is willing to get their hands dirty, understand the data we’re working with, and cocreate our rich data ecosystem.

The role sits at the heart of a multidisciplinary team that includes machine learning scientists, computational biologists, bioinformaticians and wet lab scientists. 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:

• Collaborate with our wet lab, data science and ML teams to understand their data needs.

• Own our long-run data strategy in collaboration with the data science team.

• Devise systems for streamlined data identification, acquisition and integration into a standardised and FAIR-compliant data system.

• Develop and implement policies and methods for effective data handling and management, including a queryable data catalogue to capture relevant metadata and inter-data relationships.

• Manage access to external data sources, including large biobanks such as the UK Biobank.

• Integrate data quality validation and monitoring.

• Lead the adaptation of our data strategy to an evolving regulatory landscape.

• Support others in the daily use of our data systems.

Professionally, you have

• A graduate degree in bioinformatics, computer science, computational biology or a related field.

• Previous experience in large-scale data management.

• Proven experience in supporting and implementing complex data management systems and maintaining high-standard data security practices.

• Knowledge of database systems, and familiarity with data visualisation and analytics tools.

• The ability to decipher and organise large amounts of data.

Nice to have

• Familiarity with biological data types and databases, and core bioinformatic tools.

• Experience working with large biobanks such as the UK Biobank and dbGaP.

• Experience working with private and sensitive personal information.

• Strong software and data engineering skills, with fluency in Python and cloud environments,, as well as experience developing in collaborative contexts.

Personally,  you are:

• A great team player

• A 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!

To apply for this position please email enquiry@relationrx.com with a cover note and CV.

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