Offer summary

Qualifications:

PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline., Strong publication record as a first author in leading AI venues such as NeurIPS, ICML, and ICLR., Expertise in generative AI, diffusion models, and foundational AI techniques., Proven experience in developing algorithms and machine learning systems with a focus on originality and scalability..

Key responsabilities:

Design and develop novel machine learning algorithms for complex problems.

Engage in cutting-edge AI research, including generative AI and foundational model architectures.

Maintain an active research presence through publications and presentations at top-tier AI conferences.

Implement proprietary AI solutions for identifying and validating drug candidates.

The global Life Sciences industry is dominant in today’s world. Drug development processes are progressing faster than ever before. The need for vaccines, treatments and medical devices continues to grow at an exponential rate to ensure treatment for disease reaches those it needs to. That means for Barrington James, we grow at the same speed. With 14 global offices specialising in niche areas of the Life Science industry, we are ready to support our growing group of clients in sourcing the most, senior, specialist and rare candidates to join them. ‘We Invest In Our People’ through training and development, through meritocratic progression, and through unrivalled commission structures, shareholder and bonus schemes. Barrington James Board & Executive Partners Barrington James is your global and award- winning Life Science Executive recruitment partner. With combined experience of over 100 years, our Executive Search team has access to the deepest pharmaceutical networks. Our primary focus is to understand and address the business challenges and hiring needs of our clients through a range of bespoke services, including Executive Search, Project Management, Market Research, Mapping Practice and Reference Check Insights.

Job description

Machine Learning Researcher – Deep Tech

A highly skilled Machine Learning Researcher is required to join an innovative deep-tech bio company, focusing on leading development efforts in generative AI, including diffusion models, language models, and novel algorithm development. This role is ideal for someone who thrives on designing foundational models and developing novel AI methodologies from the ground up. You will have the opportunity to work on high-impact research.

My client is an AI-driven deep-tech company at the intersection of AI and life sciences, developing proprietary algorithms that identify and accelerate the discovery of promising drug candidates. Their team is pushing the boundaries of what’s possible in machine learning, working on fundamental advancements that have real-world impact.

What You’ll Do

Design and develop novel machine learning algorithms tailored to address complex and challenging problems.
Dive into cutting-edge AI, including generative AI, diffusion models, and foundational model architectures.
Maintain an active research presence with publications and presentations at top-tier AI conferences such as NeurIPS, ICML, and ICLR.
Shape and implement proprietary AI solutions that redefine how drug candidates are identified and validated.

Who You Are

PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline.
A strong publication record as a first author in leading AI venues (e.g., NeurIPS, ICML, ICLR).
Expertise in generative AI, diffusion models, large language models, and foundational AI techniques.
Proven experience in developing algorithms and machine learning systems from the ground up, with a focus on originality and scalability.

Why Join Us?

Be part of a team of world-class researchers and scientists at the forefront of generative AI and foundational model research.

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