Associate Machine Learning Scientist for Nucleic Acid Binding Data and Novel Nucleic Acid Bases
Location: York, UK
Contract: Full-time, on-site
Department: Lab / Production
Reporting to: Lead Machine Learning Scientist
About Aptamer GroupAptamer Group develops Optimer® binders, providing innovative solutions to advance the life science industry. Our cutting-edge technologies facilitate breakthroughs in diagnostics, therapeutics, and research applications. By harnessing the power of Optimer® binders, we contribute to improving healthcare outcomes and addressing complex scientific challenges. At Aptamer Group, we are committed to pioneering advancements that drive greater precision and innovation in the life sciences.
Role
We are seeking a highly motivated computational scientist to support the development of a world-leading AI model for analysing and predicting binders targeting undruggable protein classes. This breakthrough work has the potential to revolutionise binder technology and enable leaps in drug discovery and molecular engineering.
You will work closely with our Lead Machine Learning AI Scientist, providing an excellent opportunity to learn from an established expert while contributing to cutting‑edge model development. You will leverage extensive internal data libraries, including proprietary data on novel nucleic acid bases with amino acid‑like side chains, with continuous updates from ongoing development work. You will also collaborate with an expert industry‑academic consortium providing leading data on nucleic acid‑protein target structures and interaction sequences.
This position is ideal for someone with a strong scientific background, knowledge of next‑generation sequencing, and a keen interest in developing machine learning expertise and contributing to groundbreaking research at the forefront of therapeutic discovery.
Main responsibilities
* Support the development and implementation of AI models and algorithms for the analysis of DNA aptamer NGS data, incorporating novel DNA bases with amino acid side chains.
* Collaborate closely with experimental scientists to understand experimental workflows and processes that generate high‑quality sequencing data using novel DNA bases with amino acid side chains.
* Preprocess, analyse, and interpret large‑scale NGS datasets to identify aptamer sequences, motifs, and structural features incorporating novel DNA bases.
* Help to validate AI models using experimental data and benchmarking datasets, iteratively refining model performance and accuracy.
* Develop software tools and pipelines for automated processing and analysis of NGS data, incorporating novel DNA bases with amino acid side chains.
* Stay abreast of advancements in bioinformatics, machine learning, and genomic research, integrating emerging technologies and methodologies into AI model development.
* Communicate results and findings effectively through written reports, presentations, and publications, contributing to scientific discourse and knowledge dissemination.
* Collaborate with cross‑functional teams across research and development to integrate AI models into drug discovery workflows and molecular engineering projects.
The above list of job duties is not exclusive or exhaustive and the post holder will be required to undertake such tasks as may reasonably be expected within the scope and grading of the post.
Essential Skills and Expertise
* Proficiency in programming languages such as Python, R, or MATLAB, with experience in data manipulation and analysis.
* Experience in working with biological or experimental datasets, with a focus on molecular interactions, protein‑ligand binding, or similar applications.
* Knowledge of molecular biology techniques and genomic technologies, particularly DNA aptamer selection, sequencing, and experimental design.
* Excellent problem‑solving skills, critical thinking abilities, and the capacity to work independently and collaboratively in a multidisciplinary team environment.
* Strong communication and interpersonal skills, with the ability to convey complex technical concepts to diverse audiences and engage in scientific discussions.
* Deep familiarity with specific datasets, systems and Aptamer processes
* Experience working with novel DNA bases incorporating amino acid side chains, nucleic acid analogs, or noncanonical nucleotides in aptamer selection and molecular engineering.
* Familiarity with machine learning or other advanced computational techniques, especially as applied to binder technology and molecular design.
* Knowledge of cloud computing, parallel and high‑performance computing frameworks for large‑scale data analysis and modelling.
* Experience with version control systems (e.g., Git) and software development best practices for collaborative code development and reproducible research.
Personal Qualifications
* Degree (or equivalent experience) in bioinformatics, biology, biochemistry, computer science, or a related field, with a background in genomics or molecular biology preferred.
Why Join Aptamer Group?
* Work at the forefront of innovative life science technologies
* Be part of a growing, collaborative organisation with real‑world impact
* Contribute directly to high‑value diagnostic and therapeutic programmes
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