Machine Learning Scientist

Northreach is a dynamic recruitment agency that connects businesses with top talent in the cell & gene therapy, fintech, and digital sectors. Our mission is to provide a seamless and personalized recruitment experience for clients and candidates, and to create a positive work environment that encourages equality, innovation, and professional growth.

Our client is a cutting-edge biotech company based in Cambridge, UK, leveraging artificial intelligence and machine learning to revolutionize drug discovery and therapeutic development. They are at the forefront of integrating computational approaches with biological systems to accelerate research in areas such as genomics, precision medicine, and biomarker discovery.

Role Overview

We are seeking a highly motivated AI / Machine Learning Scientist to develop and apply state-of-the-art machine learning algorithms to biological datasets. This role will be pivotal in harnessing AI to drive new insights into disease mechanisms, enhance target identification, and optimize therapeutic design.

Key Responsibilities

• Develop and implement machine learning models for analyzing complex biological and genomic datasets.
• Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development.
• Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate AI-driven insights into experimental workflows.
• Develop and maintain scalable pipelines for data processing and model deployment.
• Interpret and visualize AI-driven predictions to guide experimental design and decision-making.
• Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation.

Requirements

• PhD or MSc in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field.
• Strong experience in developing and applying machine learning models, particularly in deep learning, probabilistic modeling, and/or NLP.
• Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data.
• Experience working with large-scale datasets and cloud computing platforms (AWS, GCP, or Azure) is a plus.
• Strong problem-solving skills and ability to work collaboratively in a multidisciplinary environment.
• Excellent communication skills with the ability to present complex data in a clear and concise manner.

Northreach is an equal opportunity employer and we do not discriminate against any employee or applicant for employment based on race, colour, religion, sex, national origin, disability, or age. We are committed to promoting diversity, equity, and inclusion in the workplace and hiring practices, therefore only partner with businesses that promote DEI. We strive to create a welcoming and inclusive environment for all employees.