25.03.25 Machine Learning Scientists/Engineers, Cambridge, UK

Computational Chemistry List, Ltd. (CCL); Cambridge; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking Machine Learning Scientists/Engineers to revolutionize drug discovery through advanced machine learning techniques. This role involves designing ML models for structure-based drug design and collaborating with multidisciplinary teams to translate research into impactful solutions. The company offers excellent training, career development, and competitive salary, along with hybrid working options. Located near Cambridge City Centre, it provides a supportive and inclusive environment that embraces diversity. If you're passionate about leveraging AI in healthcare, this opportunity is perfect for you.

Benefits

Career Development

Competitive Salary

Hybrid Working Options

Onsite Facilities

Good Transport Links

Qualifications

• Develop innovative ML methods for structure-based drug discovery.
• Collaborate with teams to translate research into production solutions.

Responsibilities

• Design and implement ML models for drug design and optimization.
• Utilize proprietary datasets to train and validate algorithms.

Skills

Machine Learning

Deep Learning

Generative Models

Python

C++

AI Techniques

Protein Structure Modeling

Organic Chemistry Knowledge

Education

PhD in Computer Science

PhD in Chemistry

PhD in Physics

PhD in Engineering

Tools

PyTorch

TensorFlow

JAX

Job description

Machine Learning Scientists/Engineers, Cambridge, UK

Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology.

The Role

We are seeking Machine Learning Scientists/Engineers for permanent and 3-year fixed-term contracts to develop innovative machine learning methods for structure-based drug discovery. You will work on advancing computational tools that impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment.

Responsibilities:

1. Design and implement ML models for structure-based drug design, including protein-ligand interaction modeling and co-folding applications.
2. Develop AI approaches integrating structural and chemical data to enhance virtual screening and molecular design.
3. Utilize proprietary structural datasets to train, benchmark, and validate algorithms.
4. Collaborate with multidisciplinary teams to translate research into production solutions.

Profile and Skills:

1. PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering).
2. Strong background in machine learning, including deep learning and generative models.
3. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
4. Proficiency in Python and C++, with a collaborative mindset.
5. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic chemistry is a plus.

Why Join Astex

We offer excellent training, career development, competitive salary, and benefits, including hybrid working options. Located near Cambridge City Centre, with onsite facilities and good transport links, we embrace diversity and are committed to an inclusive workplace.

More Information

Visit www.astx.com for Astex Pharmaceuticals and www.otsuka.co.jp for Otsuka Pharmaceuticals.

Application Process

Apply online at this link before April 30, 2025. Please note email addresses are modified; change ",+" back to "@" before emailing.

Learn about the job from the Computational Chemistry List Job Listing at https://server.ccl.net/jobs.