Data Scientist / Machine Learning Engineer – RNA Design

JR United Kingdom; Kingston upon Hull; On-site; GBP 45,000 - 65,000; Full time

Job summary

A growing biotechnology company is seeking a highly motivated Data Scientist / Machine Learning Engineer in Kingston upon Hull. You will leverage a proprietary platform to develop novel gene control systems for cell and gene therapy. This role offers the opportunity to significantly impact the future of gene therapies, employing AI/ML to handle complex biological datasets and collaborate with experts in the field.

Qualifications

• Proven track record in AI/ML-based tools development.
• Experience in building predictive models for biological data.
• PhD/MSc or equivalent in a relevant field.

Responsibilities

• Develop and refine AI/ML methods for RNA control systems.
• Curate datasets for AI development and manage data analysis.
• Collaborate with multidisciplinary teams on experiments.

Skills

AI/ML tools development

Python proficiency

Data analysis

Algorithm design

Analytical skills

Communication

Education

PhD/MSc in data science/AI or related field

Tools

Keras

PyTorch

TensorFlow

Scikit-Learn

Cloud platforms

Job description

Social network you want to login/join with:

Data Scientist / Machine Learning Engineer – RNA Design, kingston upon hull, east yorkshire

col-narrow-left

Client:

SRG

Location:

kingston upon hull, east yorkshire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

3

Posted:

04.06.2025

Expiry Date:

19.07.2025

col-wide

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.