Requirements:
Master s or PhD in Data Science Genomics Bioinformatics or a related field.
5 years of experience in AI/ML with a focus on genomics or personalised medicine.
Strong experience in handling largescale healthcare datasets and genomic data.
Extensive experience in various AI applications including chatbots large language models (LLMs) image analysis generative AI and predictive AI.
Proficiency in programming languages like Python R and machine learning frameworks (e.g. TensorFlow PyTorch).
Familiarity with bioinformatics tools and databases.
Knowledge of healthcare regulations related to genomic data handling.
Excellent problemsolving analytical and communication skills
Key Responsibilities:
Develop AI models that incorporate genomic clinical and other healthcare data.
Use machine learning techniques to identify patterns and trends in genetic data for personalised healthcare interventions.
Collaborate with clinical experts to interpret genomic data and design experiments.
Build and deploy predictive models that assist in personalised medicine such as risk assessments diagnostics and treatment recommendations.
Stay updated with advancements in genomics and bioinformatics and implement relevant techniques in AI model development.
Ensure genomic data privacy security and compliance with regulations (e.g. GDPR HIPAA).
Collaborate with data engineers to develop and optimise data pipelines for largescale genomic datasets.
Present findings and models to crossfunctional teams clinical stakeholders and external partners.
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