Talent Pool

Relation
London
Workplace: OnsiteFull timeFunction: People, HR & TalentSkills: ["Teamwork","Communication","Collaboration","Problem-solving"]

Join our Talent Pool to be considered for growth plans in 2025. We’re seeking candidates working in Computational and Discovery roles within Life Sciences, alongside Research & ML Engineering for high-performance multi-GPU computing from other industries. This is a broad, exploratory opportunity to connect with interdisciplinary teams shaping next-generation drug discovery in London.

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FursaFursa
Relation
Relation
1 year ago

Talent Pool

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Join our Talent Pool to be considered for growth plans in 2025. We’re seeking candidates working in Computational and Discovery roles within Life Sciences, alongside Research & ML Engineering for high-performance multi-GPU computing from other industries. This is a broad, exploratory opportunity to connect with interdisciplinary teams shaping next-generation drug discovery in London.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: People, HR & Talent

Key Responsibilities

  • •Contribute to interdisciplinary projects in computational biology and discovery science.
  • •Engage with ML engineering teams to optimize GPU-based pipelines and workflows.
  • •Collaborate with researchers to translate scientific questions into software solutions.
  • •Assist in prioritizing opportunities within the talent pool to support growth plans.
  • •Represent Relation’s commitment to inclusive, diverse teams while exploring roles in 2025.

Key Requirements

  • •Experience in Computational and Discovery roles within Life Sciences, with a focus on high-performance multi-GPU computing.
  • •Background in Research & ML Engineering for GPU-accelerated workloads, ideally in drug discovery or related biotech domains.
  • •Ability to work across interdisciplinary teams and contribute to a growing biotech tech stack.
  • •Strong communication and collaboration skills to engage with researchers and engineers.
  • •Willingness to participate in a Talent Pool process and pursue growth opportunities in 2025.
Experience:Life SciencesBiotechML Engineering
Skills:TeamworkCommunicationCollaborationProblem-solving
Tech Stack:GPU computingMachine learningSingle-cell multi-omics

Company Brief

Relation
Relation (Relation Therapeutics) is a UK-based, technology-enabled biopharmaceutical company that combines single-cell multi-omics, patient-derived tissue, functional assays and machine learning to discover and develop novel therapeutics across immunology, metabolic and bone diseases.
Industry: Biotech
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Valuation: USD 100M to 250M
Funding: Seed
Headquarters: London, United Kingdom
Founded: 2019
Glassdoor
Glassdoor: 3.8
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