Senior Genomics ML Scientist - DNA Sequence Modeling

Senior Genomics ML Scientist - DNA Sequence Modeling

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Relation Therapeutics

At a Glance

  • Tasks: Develop computational models for DNA sequence and disease biology.
  • Company: Relation Therapeutics, a leader in genomics and machine learning.
  • Benefits: Attractive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and discovery.
  • Why this job: Join a pioneering team and make a real impact in genomics.
  • Qualifications: Experience in data science, machine learning, and genomics required.

The predicted salary is between 60000 - 80000 Β£ per year.

Relation Therapeutics is seeking a senior data scientist to work on DNA sequence modelling, statistical machine learning, and functional genomics in support of target discovery and mechanism elucidation. You will develop computational models linking genetic variation to molecular phenotypes and disease biology, embedded within the Rosalind team.

You will build and evaluate models that connect sequence to function, including variant effect prediction and regulatory activity modelling.

Senior Genomics ML Scientist - DNA Sequence Modeling 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.

Relation Therapeutics

Contact Details:

Relation Therapeutics Recruitment Team

We think you need these skills to ace Senior Genomics ML Scientist - DNA Sequence Modeling

Statistical Machine Learning
DNA Sequence Modelling
Functional Genomics
Computational Modelling
Genetic Variation Analysis
Molecular Phenotype Linking
Variant Effect Prediction