PRR Project

Summary

Job description: Recruitment of an Associate Professor specialized in Data Science and Artificial Intelligence applied to Health Research. The successful candidate will join a dynamic and interdisciplinary team of faculty members dedicated to advancing healthcare innovation through cutting-edge research and education. The selected candidate is expected to bring to NMS his/her expertise in cutting-edge computational techniques, namely artificial intelligence and machine learning, and lead transformative research initiatives and projects aimed at unravelling complex healthcare challenges. The selected candidate is also expected to create synergies with existent faculty at NMs and initiate interdisciplinary collaborative projects with NMS researchers, fostering a dynamic research ecosystem that transcends traditional disciplinary boundaries and allowing the development of improved diagnosis and treatments, and promoting a better health for all. The selected candidate is also expected to integrate data science and AI into NMS medical education curriculum, equipping the future healthcare professionals with essential skills to navigate the growing data-driven healthcare landscape. Key responsibilities: •    Conduct innovative research and lead a research team in the field of data science and artificial intelligence applied to health research. Publish research findings in high-impact peer-reviewed journals and present at conferences to contribute to the global academic community and advance knowledge in the field. •    Collaborate with interdisciplinary teams of biomedical and clinical researchers within NMS and across affiliated institutions to address urging health challenges. Work collaboratively to translate research findings into clinical practice and enhance healthcare through data-driven approaches and solutions. •    Secure funding through competitive grant applications and establishment of partnerships with external stakeholders. •    Mentor and supervise a research team of graduate students (PhD and Masters) and postdoctoral researchers in research projects, thesis development, and professional growth. •    Teach graduate and post-graduate level courses in data science, machine learning, and artificial intelligence with applications in health research. •    Teach under-graduate courses, through participation or coordination of one or more curricular units of the Integrated Masters in Medicine and/or bachelor in Nutrition Sciences. •    Actively participate in NMS institutional activities and bodies, promoting the development of the school as well as nurturing its collaborative, diverse and inclusive environment. •    Engage in outreach activities and participate in public events aimed at showcasing the importance and applications of these technologies in improving healthcare outcomes and addressing societal health challenges. Qualifications: •    Doctoral Degree in a relevant field such as computer science, biomedical informatics, statistics, or a related discipline with a focus on data science, machine learning, or artificial intelligence preferentially applied to health sciences. •    Proven track record of conducting impactful research in the application of data science to medical or healthcare domains. •    Experience in securing research funding from government agencies, private foundations, or industry partners. •    Ability to lead interdisciplinary research teams, collaborate with internal and external partners, and translate research findings into clinical practice. •    Strong knowledge of machine learning, statistical modelling, and data analytics techniques. •    Commitment to mentoring and advising graduate students and postdoctoral researchers. •    Teaching experience and ability to effectively communicate complex concepts to diverse audiences and engage students in active learning. •    Excellent communication and interpersonal skills, with the ability to collaborate effectively with multidisciplinary teams of biomedical and clinical researchers, educators, and healthcare professionals. Rationale: Hiring an Assistant Professor of Data Science and Artificial Intelligence (AI) in Health Sciences at NMS will be essential for advancing healthcare analytics, driving research innovation, and enhancing educational excellence of future and current healthcare professionals and researchers. This position will allow NMS to attract and retain a talented researcher with interdisciplinary and complementary expertise, which will benefit and contribute transversally to all the NMS research areas. This Assistant Professor can bridge the gap between traditional medical knowledge and cutting-edge technology, fostering collaboration and addressing key challenges in disease prevention, diagnosis, and treatment. He/She will facilitate and steer collaborative opportunities, strengthen societal impact, and reinforce the institution´s position as a leader in translational health research and innovation.