Data Scientist / Machine Learning Engineer – RNA Design

JR United Kingdom; Hounslow; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading biotechnology company seeks a skilled Data Scientist/Machine Learning Engineer to enhance their innovative AI platform for gene therapy applications. This role offers a unique opportunity to contribute to pioneering projects that leverage advanced data analysis and machine learning techniques. Candidates should possess a strong background in AI/ML tools, Python proficiency, and relevant academic qualifications.

Qualifications

• Strong command over major ML frameworks (Keras, PyTorch, TensorFlow, Scikit-Learn).
• Exceptional analytical skills and a methodical approach.
• Communicates complex technical concepts effectively.

Responsibilities

• Develop and refine AI/ML methods for RNA-based control system development.
• Prepare, process, clean, and annotate datasets.
• Work with multidisciplinary teams to execute data analyses.

Skills

AI/ML tools development

Python

Keras

PyTorch

TensorFlow

Scikit-Learn

Predictive modeling

Next-Generation Sequencing (NGS)

Cloud platforms

Education

PhD in data science/AI, computer science, bioinformatics or related field

MSc in data science/AI, computer science, bioinformatics or related field

Job description

Data Scientist / Machine Learning Engineer – RNA Design, south west london

Client:

SRG

Location:

south west london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

Job Views:

3

Posted:

04.06.2025

Expiry Date:

19.07.2025

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.

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Created on 04/06/2025 by JR United Kingdom