Projeto PRR

Sumário

The prospective candidate will be responsible for:Leading and collaborating on research projects, with a focus on clinical or pre-clinical studies, epidemiological research, and health sciences education research.Perform advanced studies using multivariate statistics and data science, notably in health economics and evaluation, health impact assessment, epidemiology, public health and preventive medicine, as well as in infodemiology.Developing and delivering courses at undergraduate and postgraduate levels, notably in biostatistics and epidemiology.Developing and delivering executive and advance training courses, in close collaboration with industry and clinical partners.Providing statistical consultancy for healthcare research projects, from their design to the actual results and implications thereof.Writing and securing grants for research funding.Publishing research findings in scientific journals and presenting at scientific conferences.Securing and managing partnerships with industry and clinical partners, developing join training programs and research projects.Mentoring Ph.D. students and junior researchers.The ideal candidate should have a profile that combines a deep academic background with extensive practical experience:Academic Credentials: A Ph.D. in a relevant field such as Biostatistics, Epidemiology, Health Economics, or Health Technology Assessment.Teaching Experience: Proven ability to teach at both undergraduate and postgraduate levels, with a history of developing and delivering impactful courses in biostatistics or related fields.Research Expertise: Demonstrated experience in leading and collaborating on significant research projects, evidenced by a strong publication record in high-impact journals and contributions to international research collaborations.Interdisciplinary Approach: Skills in integrating biostatistics with other disciplines like health economics and policy, providing a comprehensive approach to health sciences research and education.Grant Acquisition and Management: A track record of successfully securing research funding and effectively managing research projects.Communication and Leadership Skills: Strong interpersonal skills for collaboration across various research teams and the ability to mentor and guide students.Mastering the basics of population studies and clinical trials is crucial for students, clinicians, or researchers to be "data integrators" rather than merely "users." Furthermore, any scientific work reliant on numerical data requires proper statistical treatment. However, gaps in knowledge and application of statistical methods at all levels of biomedical training and work are known, from student monographs to theses and scientific publications. These gaps also impact the ability to stay updated and innovate in healthcare. Therefore, it became necessary and urgent to create a support structure in Biostatistics that encompasses teaching and training skills in this area, both internal and external to the University, and is capable of guiding scientific works, from theses to publications. The Biostatistics laboratory of Católica Medical School aims to meet this need. This laboratory excels in applying statistical methodologies to clinical and pre-clinical studies, spearheading impactful epidemiological research, and providing expert statistical consultation in healthcare research. It also plays a crucial role in education, offering comprehensive programs to different target audiences, from students to clinicians and other professionals. The laboratory works in close proximity with the school’s research units, notably CIIS, enhancing their research offerings, as well as opening up novel project paths and collaborations in data-centred funding.An expert candidate is fundamental to enhance the laboratory’s research, consultancy, and educational offerings. This role is key to fostering interdisciplinary collaborations and contributing to the vision of being a centre of excellence in research and education, influencing healthcare outcomes through innovative methodologies in collaboration with industry partners and healthcare providers. Notable partnerships include Siemens Healthineers and Grupo Luz Saúde, with training and research projects being launched with both, requiring expert and dedicated staff.