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other research funding opportunities . As part of our commitment to building a workforce of research leaders to drive pathways to MS cures, the National MS Society established a junior faculty award in biostatistics/informatics/computational biology . The goal of this program is to create protected time for a junior faculty member to collaborate with an established MS research group to develop expertise in MS clinical trials, real-world evidence, epidemiology, data mining, artificial intelligence, machine learning, and/or other related biostatistics, informatics, or computational biology research, and to inspire them to pursue critical questions in MS research throughout their career. The award provides three years of partial (25-50%) salary support or teaching buy-out funds, as well as up to $20,000 per year for access to datasets. Eligible candidates hold a doctoral degree (Ph.D. or equivalent) in biostatistics, data science, computational biology, informatics, artificial intelligence, machine learning, or related field, and are within seven years of completion of their terminal degree. They must have been offered or hold an academic appointment at the assistant professor (or equivalent) level at the initiation of the award. The recipient institution may be in any country not subject to official US sanctions and must be a non-profit organization. There is no citizenship requirement. See instructions on “How To Apply” for full details of proposal requirements. Briefly, the proposal should contain an overview of current activities, outline and details of the planned MS research collaboration, list of collaborators, long-term goals, and relevance to the Society’s Pathways to Cures Roadmap . The MS research collaborators should be at the same institution or in near geographic proximity, and application requires letter(s) of support and CV from one or more members of the MS group with whom candidate proposes to collaborate. " c-nmssatomrichtext_nmssatomrichtext-host="">The Biostatistics/Informatics Junior Faculty Award is on hold for 2025. Review our other research funding opportunities . As part of our commitment to building a workforce of research leaders to drive pathways to MS cures, the National MS Society established a junior faculty award in biostatistics/informatics/computational biology . The goal of this program is to create protected time for a junior faculty member to collaborate with an established MS research group to develop expertise in MS clinical trials, real-world evidence, epidemiology, data mining, artificial intelligence, machine learning, and/or other related biostatistics, informatics, or computational biology research, and to inspire them to pursue critical questions in MS research throughout their career. The award provides three years of partial (25-50%) salary support or teaching buy-out funds, as well as up to $20,000 per year for access to datasets. Eligible candidates hold a doctoral degree (Ph.D. or equivalent) in biostatistics, data science, computational biology, informatics, artificial intelligence, machine learning, or related field, and are within seven years of completion of their terminal degree. They must have been offered or hold an academic appointment at the assistant professor (or equivalent) level at the initiation of the award. The recipient institution may be in any country not subject to official US sanctions and must be a non-profit organization. There is no citizenship requirement. See instructions on “How To Apply” for full details of proposal requirements. Briefly, the proposal should contain an overview of current activities, outline and details of the planned MS research collaboration, list of collaborators, long-term goals, and relevance to the Society’s Pathways to Cures Roadmap . The MS research collaborators should be at the same institution or in near geographic proximity, and application requires letter(s) of support and CV from one or more members of the MS group with whom candidate proposes to collaborate. How To Apply other research funding opportunities . Questions? James Quinn, PhD James.Quinn@nmss.org other research funding opportunities . As part of our commitment to building a workforce of research leaders to drive pathways to MS cures, the National MS Society established a junior faculty award in biostatistics/informatics/computational biology . The goal of this program is to create protected time for a junior faculty member to collaborate with an established MS research group to develop expertise in MS clinical trials, real-world evidence, epidemiology, data mining, artificial intelligence, machine learning, and/or other related biostatistics, informatics, or computational biology research, and to inspire them to pursue critical questions in MS research throughout their career. The award provides three years of partial (25-50%) salary support or teaching buy-out funds, as well as up to $20,000 per year for access to datasets. Eligible candidates hold a doctoral degree (Ph.D. or equivalent) in biostatistics, data science, computational biology, informatics, artificial intelligence, machine learning, or related field, and are within seven years of completion of their terminal degree. They must have been offered or hold an academic appointment at the assistant professor (or equivalent) level at the initiation of the award. The recipient institution may be in any country not subject to official US sanctions and must be a non-profit organization. There is no citizenship requirement. See instructions on “How To Apply” for full details of proposal requirements. Briefly, the proposal should contain an overview of current activities, outline and details of the planned MS research collaboration, list of collaborators, long-term goals, and relevance to the Society’s Pathways to Cures Roadmap . The MS research collaborators should be at the same institution or in near geographic proximity, and application requires letter(s) of support and CV from one or more members of the MS group with whom candidate proposes to collaborate. " c-nmssatomrichtext_nmssatomrichtext-host="">The Biostatistics/Informatics Junior Faculty Award is on hold for 2025. Review our other research funding opportunities . As part of our commitment to building a workforce of research leaders to drive pathways to MS cures, the National MS Society established a junior faculty award in biostatistics/informatics/computational biology . The goal of this program is to create protected time for a junior faculty member to collaborate with an established MS research group to develop expertise in MS clinical trials, real-world evidence, epidemiology, data mining, artificial intelligence, machine learning, and/or other related biostatistics, informatics, or computational biology research, and to inspire them to pursue critical questions in MS research throughout their career. The award provides three years of partial (25-50%) salary support or teaching buy-out funds, as well as up to $20,000 per year for access to datasets. Eligible candidates hold a doctoral degree (Ph.D. or equivalent) in biostatistics, data science, computational biology, informatics, artificial intelligence, machine learning, or related field, and are within seven years of completion of their terminal degree. They must have been offered or hold an academic appointment at the assistant professor (or equivalent) level at the initiation of the award. The recipient institution may be in any country not subject to official US sanctions and must be a non-profit organization. There is no citizenship requirement. See instructions on “How To Apply” for full details of proposal requirements. Briefly, the proposal should contain an overview of current activities, outline and details of the planned MS research collaboration, list of collaborators, long-term goals, and relevance to the Society’s Pathways to Cures Roadmap . The MS research collaborators should be at the same institution or in near geographic proximity, and application requires letter(s) of support and CV from one or more members of the MS group with whom candidate proposes to collaborate.
BiostatisticsInformatics Junior Faculty