Research Scientist, AI/ Machine Learning

Seeking an AI-driven Research Scientist to push the boundaries of immuno-oncology and next-gen biologic design., The successful candidate role will focus on integrating cutting-edge AI/ML technologies to accelerate discovery and optimization across biologic modalities, including antisense oligonucleotide (ASO) therapeutics and antibody design. You will also play a key role in developing computational frameworks and predictive models to enhance therapeutic design pipelines., * Design and implement advanced AI/ML approaches for antibody discovery, including fine-tuning protein language models and generative protein design workflows.

• Develop scalable machine learning methods for multi-objective optimization of biologics such as antibodies, antigens, ADCs, and other modalities.
• Build sequence-aware predictive models to prioritize ASO designs based on exon-skipping responses across diverse targets and modalities.
• Create reproducible computational frameworks for biologics, encompassing data ingestion, feature engineering, model training, validation, and deployment.
• Curate and harmonize datasets, defining robust sequence and structure features to drive model performance.
• Establish benchmarks and collaborate with experimental teams to validate predictions.
• Evaluate and adopt tools to enhance modeling workflows and decision support systems.
• Maintain a clean, well-documented codebase and provide user guidance for cross-functional teams.
• Perform additional related tasks as assigned., Clinical Administrator Clinical Development Clinical Operations Clinical Program Manager Clinical Project Manager Clinical Research Associate Clinical Research Nurse Clinical Research Scientist Clinical Services Clinical Study Manager Clinical Supplies Clinical Trials Manager / Administrator Drug Safety Feasibility Investigator Patient Recruitment Pharmacoeconomics Pharmacovigilance Study Site Coordinator Study Start Up

Data Management / Statistics

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Biostatistics Clinical Data Management Data Analyst Informatics SAS Programming Statistical Programming Statistics

Finance / Administration

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Administration Contracts / Proposals Customer Services Finance Legal Licensing Purchasing & Procurement

Healthcare

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Carer / Healthcare Assistant Consultant General Practitioner Nurse Pharmacy Physician / Doctor, Biology Biotechnology Chemistry Epidemiology Genetics and Genomics Laboratory Pharmacokinetics Pharmacology Pre - clinical Proteomics Scientific Toxicology

Regulatory Affairs

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CMC Compliance Labelling Regulatory Writing

Sales / Commercial

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Account Management Business Analytics Business Development Commercial Management Product Management Sales Therapy Specialist

• PhD in Computational Chemistry/Biology, Machine Learning, Biomedical/Chemical Engineering, or a related field.
• Strong background in oligonucleotide chemistry and antibody design.
• Proven experience in computational modeling of antibody-antigen interactions.
• Expertise in probabilistic learning, deep learning models (e.g., RNNs, GNNs, Transformers), and generative AI.
• Proficiency in programming languages such as Python, R, and SQL, with hands-on experience in frameworks like PyTorch, TensorFlow, or JAX.
• Experience developing machine learning models for DNA, RNA, and proteins, including language models and structure prediction.
• Familiarity with large-scale computing, cloud infrastructures, and database systems.
• Knowledge of tools like AWS, GitHub/GitLab, and Docker containers.
• Strong communication skills to collaborate effectively with multidisciplinary teams.
• Commitment to teamwork and continuous learning.

Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.