PRR Project

Summary

MIA-Portugal is seeking a highly skilled and motivated AI Specialist to lead our efforts in leveraging artificial intelligence (AI) techniques for the analysis of biomedical and clinical data related to aging. This role offers an exciting opportunity to contribute to cutting-edge research in aging biology and age-related diseases using advanced AI methodologies. The successful candidate will work closely with interdisciplinary teams to develop innovative AI solutions for understanding the mechanisms of aging and identifying therapeutic targets.The candidate is expected to collaborate with MIA´s research teams to identify and acquire biomedical and clinical datasets relevant to aging, including genomics, transcriptomics, proteomics, metabolomics, imaging data, electronic health records (EHR), and wearable sensor data. Curate and pre-process datasets to ensure data quality and consistency and carry out the following tasks :Design and implement AI models, including machine learning, deep learning, and other AI techniques, to analyse complex biomedical and clinical data of aging.Develop novel algorithms for feature extraction, dimensionality reduction, and predictive modelling.Integrate multi-omics data modalities to elucidate molecular mechanisms underlying aging and age-related diseases.Develop integrative AI approaches to analyse multi-omics data and identify biomarkers of aging and disease progression.Build predictive models to assess the risk of age-related diseases, such as Alzheimer´s disease, cardiovascular disease, and cancer, based on multi-dimensional data.Explore causal inference methods to uncover causal relationships between biological factors and aging phenotypes.Interpret AI model results and identify key biological insights relevant to aging biology.Develop visualization tools and interactive dashboards to communicate complex findings to researchers and clinicians.Collaborate with interdisciplinary teams of biologists, clinicians, bioinformaticians, and statisticians to advance research goals in aging biology and age-related diseases.Contribute to scientific publications, grant proposals, and presentations at major conferences and scientific meetings.The candidate should hold a Ph.D. or Master´s degree in Computer Science, Bioinformatics, Biomedical Engineering, or a related field with a focus on AI and machine learning. Strong background in AI methodologies, including machine learning, deep learning, natural language processing, and reinforcement learning. Proficiency in programming languages such as Python, R, and MATLAB, and experience with AI frameworks such as TensorFlow, PyTorch, or Keras. Excellent problem-solving skills and ability to work independently and collaboratively in a team environment. Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.