Computational Scientist – MachineLearning & Immunology & Biologics A cutting-edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machinelearning and statistical models to analyze complex biological data, particularly … immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machinelearning models—particularly language models, diffusion models, or graph neural networks —tailored to biomedical challenges. Build novel computational methods for interpreting biological sequences and structural data … domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machinelearning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications More ❯
Computational Scientist – MachineLearning & Immunology & Biologics A cutting-edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machinelearning and statistical models to analyze complex biological data, particularly … immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machinelearning models—particularly language models, diffusion models, or graph neural networks —tailored to biomedical challenges. Build novel computational methods for interpreting biological sequences and structural data … domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machinelearning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications More ❯
Computational Scientist – MachineLearning & Immunology & Biologics A cutting-edge biotech organization is seeking highly motivated Computational Scientists to support the mission of decoding and engineering the immune system. The role focuses on developing advanced machinelearning and statistical models to analyze complex biological data, particularly … immune repertoires and multimodal datasets. About the Role As part of a collaborative Computational Biology team, you will: Design and implement machinelearning models—particularly language models, diffusion models, or graph neural networks —tailored to biomedical challenges. Build novel computational methods for interpreting biological sequences and structural data … domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machinelearning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific productivity (e.g., peer-reviewed publications More ❯
Hinxton, Essex, United Kingdom Hybrid / WFH Options
NLP PEOPLE
We are seeking a talented MachineLearning (ML) Scientist to join a groundbreaking initiative to develop Digital Twins for rare diseases. You will work within a multidisciplinary project team, across the Open Targets, Molecular Systems and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI … patient-level data. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machinelearning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive … or similar programming languages. • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong knowledge of advanced statistical techniques and modern deep learning methods. • Expertise in pipeline workflow management tools like Nextflow or Snakemake. • Excellent communication skills, both written and verbal, for collaborative teamwork and reporting. • Self More ❯