Data Scientist/Machine Learning Engineer - RNA Design

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Client:

SRG

Location:

Glasgow, United Kingdom

Job Category:

-

EU work permit required:

Yes

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Job Reference:

7ae256065f42

Job Views:

4

Posted:

02.05.2025

Expiry Date:

16.06.2025

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Job Description:

About this job

SRG is seeking a highly motivated and skilled data scientist to join our client, focusing 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 opportunity to help expand and scale their technology platform and shape the future of gene therapies.

Our client is a venture-backed biotechnology company that designs 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, allowing precise control of cell and gene therapies in response to various molecules.

Key Responsibilities

• Develop and refine AI/ML methods for RNA-based control system development.
• Prepare, process, clean, and annotate datasets tailored for AI development. Manage dataset curation to support various projects.
• Collaborate within a multidisciplinary team to execute data analysis of high standard and on schedule, providing accurate data for seamless project transition and informing experimental design.
• Design, test, and implement algorithms for structural design space exploration.
• Demonstrate strong teamwork and focus on achieving shared goals with a commitment to high-quality outcomes.

Skills

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

Qualifications

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

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