Research Scientist

JR United Kingdom; Slough; Hybrid; GBP 45,000 - 75,000; Full time

Job summary

A leading company in the AI-biology frontier is seeking passionate individuals to drive multimodal generative models research. Ideal candidates will have an advanced degree and experience in AI or Computational Biology. The role offers hybrid work flexibility, support for continued learning, and competitive compensation, making it a great opportunity for those eager to advance in this innovative field.

Benefits

Competitive salary + equity options

Support for publications and conferences

Hybrid work flexibility

Collaborative, mission-driven team

Qualifications

• Experience leading research projects or mentoring junior scientists.
• Track record of impactful research with publications in top journals/conferences.

Responsibilities

• Drive cutting-edge research in multimodal generative models for biological applications.
• Collaborate with internal researchers and partners to advance research goals.
• Present and publish findings in conferences and journals.

Skills

AI

Machine Learning

Computational Biology

Generative Models

Research Leadership

Education

MSc in AI, ML, Computational Biology or related field

PhD or equivalent experience

Job description

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Excited about shaping the future of AI in biology through foundational research?

Qualifications:

• MSc and 2-3 years experience/ PhD or equivalent experience in AI, ML, Computational Biology, or related field.
• Track record of impactful research with publications in top journals/conferences.
• Experience leading research projects or mentoring junior scientists (for senior roles).
• Background in generative models (e.g., diffusion, Bayesian Flow Networks) or multimodal ML

Responsibilities:

• Drive cutting-edge research in multimodal generative models for biological applications.
• Collaborate with internal researchers and strategic partners to advance research goals.
• Present and publish findings in top-tier conferences, journals, and industry events.
• Contribute to building a collaborative, innovative, and knowledge-sharing research culture.
• Engage in cross-functional projects with applied BioAI and external collaborators such as NVIDIA/ leading AI labs at Oxford/ Cambridge/ MIT/ DeepMind.
• Competitive salary + equity options.
• Hybrid work flexibility.
• Support for publications, conferences, and ongoing learning.
• Work on impactful, interdisciplinary problems at the AI-biology frontier.
• Collaborative, mission-driven team with cutting-edge research focus.

If you meet 60-70% of the requirements I would love to hear from you. Click the Easy Apply button!