Current Openings
.Research Fellow in Digital Health: BIDMC Division of Digital Psychiatry
(co-sponsored, dual appointment with the Department of Biomedical Informatics at Harvard Medical School)
About
This unique research fellowship at the intersection of digital health, smartphone apps, digital phenotyping, biostatistics, and patient care offers the opportunity to work at the frontier of mobile health at Harvard Medical School. This fellowship focuses on evaluation, analysis, and dissemination of clinically focused insights derived from novel data obtained from clinical research studies focusing on college mental health and serious mental illnesses.
The Digital Psychiatry Division of the Department of Psychiatry at Beth Israel Deaconess Medical Center, a Harvard Medical School Affiliated Teaching Hospital, is leading efforts to translate advances in digital phenotyping and smartphone interventions for mental health to clinical solutions to improve the care of patients with illnesses like schizophrenia, bipolar disorder, and depression. The team is led by John Torous MD, board certified in both psychiatry and clinical informatics and offers the opportunity to make a strong impact and improve mental health with new technologies.
Start: Can be immediately and negotiable
Salary: Competitive. The position is full time, but potential for 50% effort is possible.
Job Description:
With this current opening we are seeking a candidate with strong quantitative skillsets applicable to digital mental health including time series analysis, imputation, creation of novel models, and application machine learning methods. Longitudinal patient level data is today generated from smartphone sensors, surveys, and metadata with the opportunity to combine neuroimaging and genetic data sets. Immediate goals include creating models of relapse prediction based on smartphone data to provide patients with early warning of elevated risk. The successful candidate would be expected to lead several projects at the intersection of digital mental health, global health, and clinical care that would result in first author publications. Finally, the successful candidate would be expected to work with our team in pursuing both industry and academic grants to expand this work.
An ideal candidate has been awarded or has nearly completed the requirements for a doctoral degree or foreign equivalent and is a trainee pursuing advanced studies beyond the doctoral level in preparation for an independent career in quantitative data science. In collaboration with and under the mentorship of the Principle Investigator (PI), a successful Research Fellow will engage in activities in the digital mental health space that will further his or her professional development. The position can be co-sponsored with the Division of Biomedical Informatics at Harvard Medical School and offer protected time there as well as at the medical center.
Required Qualifications:
Doctoral degree related to computer science, biostatistics, or data science
Strong publication history and writing skills
Strong quantitative and analytical skill sets with R or Python experience
Prior experience reviewing, analyzing, and summarizing scientific literature
Excellent attention to detail and interpersonal, organizational, writing, and project management skills.
Strong organizational and data management skills.
Desired Qualifications:
Prior healthcare related research or team experience
Data visualization experience
For more information, please email John Torous MD: [email protected].
(co-sponsored, dual appointment with the Department of Biomedical Informatics at Harvard Medical School)
About
This unique research fellowship at the intersection of digital health, smartphone apps, digital phenotyping, biostatistics, and patient care offers the opportunity to work at the frontier of mobile health at Harvard Medical School. This fellowship focuses on evaluation, analysis, and dissemination of clinically focused insights derived from novel data obtained from clinical research studies focusing on college mental health and serious mental illnesses.
The Digital Psychiatry Division of the Department of Psychiatry at Beth Israel Deaconess Medical Center, a Harvard Medical School Affiliated Teaching Hospital, is leading efforts to translate advances in digital phenotyping and smartphone interventions for mental health to clinical solutions to improve the care of patients with illnesses like schizophrenia, bipolar disorder, and depression. The team is led by John Torous MD, board certified in both psychiatry and clinical informatics and offers the opportunity to make a strong impact and improve mental health with new technologies.
Start: Can be immediately and negotiable
Salary: Competitive. The position is full time, but potential for 50% effort is possible.
Job Description:
With this current opening we are seeking a candidate with strong quantitative skillsets applicable to digital mental health including time series analysis, imputation, creation of novel models, and application machine learning methods. Longitudinal patient level data is today generated from smartphone sensors, surveys, and metadata with the opportunity to combine neuroimaging and genetic data sets. Immediate goals include creating models of relapse prediction based on smartphone data to provide patients with early warning of elevated risk. The successful candidate would be expected to lead several projects at the intersection of digital mental health, global health, and clinical care that would result in first author publications. Finally, the successful candidate would be expected to work with our team in pursuing both industry and academic grants to expand this work.
An ideal candidate has been awarded or has nearly completed the requirements for a doctoral degree or foreign equivalent and is a trainee pursuing advanced studies beyond the doctoral level in preparation for an independent career in quantitative data science. In collaboration with and under the mentorship of the Principle Investigator (PI), a successful Research Fellow will engage in activities in the digital mental health space that will further his or her professional development. The position can be co-sponsored with the Division of Biomedical Informatics at Harvard Medical School and offer protected time there as well as at the medical center.
Required Qualifications:
Doctoral degree related to computer science, biostatistics, or data science
Strong publication history and writing skills
Strong quantitative and analytical skill sets with R or Python experience
Prior experience reviewing, analyzing, and summarizing scientific literature
Excellent attention to detail and interpersonal, organizational, writing, and project management skills.
Strong organizational and data management skills.
Desired Qualifications:
Prior healthcare related research or team experience
Data visualization experience
For more information, please email John Torous MD: [email protected].
