Computational Genomics ML Scientist: Target Discovery

Computational Genomics ML Scientist: Target Discovery

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Bridge computational genomics and machine learning to drive drug discovery.
  • Company: Relation Therapeutics, a leader in innovative genomics research.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career development.
  • Why this job: Make a real impact in healthcare by shaping genomics-driven discoveries.
  • Qualifications: Experience in data science, machine learning, and genomics is preferred.

The predicted salary is between 63000 - 77000 Β£ per year.

Relation Therapeutics is seeking a Data Scientist to bridge computational genomics and machine learning at scale in London.

You will shape genomics-driven discovery, integrating multi-omics data to prioritise targets and inform drug discovery decisions.

You will work across biology, computation and engineering in a matrixed environment, building scalable workflows and collaborating with experimental and ML researchers to translate insights into impact.

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Computational Genomics ML Scientist: Target Discovery employer: Relation Therapeutics

Relation Therapeutics is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong emphasis on inclusivity and impactful results, employees are encouraged to grow through continuous learning and development opportunities. Located in a vibrant area, the company fosters a culture that values teamwork and communication, making it an ideal place for those passionate about advancing drug discovery.

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Contact Details:

Relation Therapeutics Recruitment Team

We think you need these skills to ace Computational Genomics ML Scientist: Target Discovery

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration