Data Scientist / Machine Learning Engineer – RNA Design

JR United Kingdom; Leicester; On-site; GBP 40,000 - 70,000; Full time

Job summary

A venture-backed biotechnology firm seeks a skilled data scientist to leverage AI for developing innovative gene control systems. This role offers the chance to shape the future of gene therapies, engaging in a multidisciplinary environment to refine advanced machine learning tools and contribute to groundbreaking projects.

Qualifications

• PhD/MSc or equivalent in data science, AI, computer science, or bioinformatics is required.
• Proven ability in developing AI/ML tools and predictive models.
• Experience in analyzing biological data (DNA, RNA, proteins) is beneficial.

Responsibilities

• Develop AI/ML methods for RNA-based control systems.
• Process and curate datasets for AI development.
• Collaborate with teams to analyze data and design experiments.

Skills

Python

AI/ML Development

Data Analysis

Collaboration

Analytical Skills

NGS Data Handling

Cloud Platforms

Algorithm Design

Education

PhD/MSc in Data Science/AI or related field

Tools

Keras

PyTorch

TensorFlow

Scikit-Learn

Job description

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Client:

SRG

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Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

About this job

SRG are seeking a highly motivated and skilled data scientist to join our client and to focus on leveraging their proprietary platform to develop novel gene control systems for the cell and gene therapy space. As one of the first hires in this growing company, you will have the unique opportunity to help expand and scale their technology platform and help shape the future of gene therapies.

Our client is a venture-backed biotechnology company that designs novel control mechanisms for the cell and gene therapy market using an innovative AI platform and synthetic biology expertise. The platform enables the design, building and screening of large & complex libraries of RNA-based control systems, to allow the precise control of cell and gene therapies in response to a diverse range of molecules.

Key Responsibilities

• Develop and refine AI/ML methods for RNA-based control system development.
• Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to support various company projects.
• Working within a multidisciplinary team, execute data analysis to a high standard and on schedule, to provide accurate data for seamless transition to subsequent project stages, and work closely with team members to inform the design of subsequent experiments.
• Design, test and implement algorithms for structural design space exploration.
• Demonstrate strong teamwork and a focus on achieving shared goals with a commitment to high-quality outcomes.

Skills

• Proven track record in the successful development and deployment of AI/ML-based tools.
• Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn.
• Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA or protein).
• Strong ability to communicate complex technical concepts effectively and collaborate closely with both experimental biologists and computational scientists.
• Exceptional analytical skills with a methodical approach to problem-solving.
• Familiarity with handling and analysing Next-Generation Sequencing (NGS) data.
• Skilled in using cloud platforms for deploying and managing ML applications.
• Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms.

Qualifications

• PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field.