Tenure-Track Faculty Position in Biomedical Data Science, Precision Health & Artificial Intelligence
Dartmouth College
Hanover, NH
Full-time
Education
Posted on March 30, 2024
Description
The Department of Biomedical Data Science (BMDS) and the Center for Precision Health & Artificial Intelligence (CPHAI) at the Geisel School of Medicine at Dartmouth invite applications for a tenure-track appointment at the rank of Assistant Professor. This role represents a targeted collaboration to further Dartmouth's innovative efforts in precision health through artificial intelligence (AI) and machine learning applications.
The Department of Biomedical Data Science offers a dynamic and interactive environment with a commitment to research excellence. BMDS faculty members benefit from highly collaborative and collegial interactions across campus, including departments at Geisel School of Medicine, Dartmouth's College of Arts and Sciences, Thayer School of Engineering, Tuck School of Business, Dartmouth Cancer Center, and Dartmouth Health's clinical departments. CPHAI is a new initiative that will foster novel, interdisciplinary AI and machine learning research, advancing public health and healthcare delivery, and positioning Dartmouth as a global leader in precision health. As the birthplace of AI, Dartmouth has a rich history in AI and the CPHAI builds on that history to increase faculty in this exciting area.
As an Ivy League research university and the birthplace of AI, Dartmouth is a leading teaching and research institution in the United States, dedicated to finding solutions to the world's most challenging problems and preparing students for leadership roles. The Center for Precision Health & Artificial Intelligence is at the forefront of this commitment, fostering novel, interdisciplinary AI and machine learning research to harness biomedical data, advancing public health, and healthcare delivery.
Dartmouth is located in the picturesque Upper Connecticut River Valley on the New Hampshire and Vermont border, a vibrant, academic and professional community offering excellent schools, lively arts, and an unmatched quality of life in a beautiful, rural setting. Boston, MA; Burlington, VT; New Haven, CT, New York City, New York, and Montreal, QC are all within a few hours' drive.
Candidates are expected to have a strong record of scholarship, to develop an independent research program, and to participate in graduate-level teaching. Evidence of an ability to secure extramural funding is desirable. Furthermore, candidates should have a PhD and/or MD (or equivalent) in a related field, and current faculty appointment at the level of Assistant Professor will be preferred, but Associate Professors may also be considered.
Dartmouth College is an equal opportunity employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.
The Department of Biomedical Data Science (BMDS) and the Center for Precision Health & Artificial Intelligence (CPHAI) at Geisel, and Dartmouth are committed to fostering a diverse, equitable, and inclusive population of students, faculty, and staff. Dartmouth recently launched a new initiative, Toward Equity, that embraces shared definitions of diversity, equity, inclusion, and belonging as a foundation for our success in institutional transformation. We are especially interested in applicants who are able to work effectively with students, faculty, and staff from all backgrounds and with different identities and attributes.
Qualifications
Successful applicants will develop vigorous and innovative research programs focused on biomedical informatics, machine learning in healthcare, personalized medicine, learning healthcare systems, medical image analysis, clinical natural language processing, or multimodal healthcare data analytics, with the goal of having a practical impact on healthcare delivery and patient outcomes. Expertise in interpretable machine learning, ethical and equitable use of AI, and algorithmic bias mitigation is strongly encouraged. A generous start-up package, as well as access to state-of-the-art research facilities, will be provided. Individuals will be given opportunities for mentorship and teaching in relevant PhD and MS graduate programs (e.g., Program in Quantitative Biomedical Sciences). Opportunities for innovative research methods development and application are facilitated through Dartmouth's high-performance computing resources (e.g., Discovery), access to Dartmouth's Shared Resources, and interactions with existing NIH Centers for Biomedical Research Excellence (COBREs) at Dartmouth. Successful individuals will be provided a tenure-track faculty appointment in the Department of Biomedical Data Science at the Geisel School of Medicine at Dartmouth College. Secondary appointments in other departments in Dartmouth College and Dartmouth-Health may be available depending on expertise and experience.
Application Instructions
Applicants should upload a cover letter (addressed to the Chair of the Search Committee, Professor Saeed Hassanpour), along with a curriculum vitae, a research statement describing their research interests and future research plans (up to 3 pages), a statement of teaching philosophy (up to one page), a statement of contributions to diversity (up to one page), and three letters of recommendation from referees to apply.interfolio.com/134886 .
Equal Employment Opportunity Statement
Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of sex, race, color, religion, age, disability, status as a veteran, national or ethnic origin, sexual orientation, gender identity, gender expression, or any other category protected by applicable law, in the administration of its educational policies, admission policies, scholarship and loan programs, employment, or other school administered programs. Applications by members of all underrepresented groups are encouraged.
If you are an applicant with a disability and need accommodations to assist in the job application or interview process, please email ADA@dartmouth.edu. In the subject line, please state “Application Accommodations” and include the job number or title. Someone from the ADA Compliance Office will be in touch within 2 business days.
For additional employment opportunities at Dartmouth College, please visit the Dartmouth Interfolio Job Board, the Office of the Provost, and the Office of Human Resources.
Offers of employment are contingent upon consent to a pre-employment background check with results acceptable under Dartmouth policy. Please visit the Office of Human Resources for details.
All Dartmouth College employees must comply with the College's health and safety guidelines and protocols, including but not limited to those related to COVID-19, such as any testing, masking, or distancing requirements that may be in place at any given time or place.
The Department of Biomedical Data Science (BMDS) and the Center for Precision Health & Artificial Intelligence (CPHAI) at the Geisel School of Medicine at Dartmouth invite applications for a tenure-track appointment at the rank of Assistant Professor. This role represents a targeted collaboration to further Dartmouth's innovative efforts in precision health through artificial intelligence (AI) and machine learning applications.
The Department of Biomedical Data Science offers a dynamic and interactive environment with a commitment to research excellence. BMDS faculty members benefit from highly collaborative and collegial interactions across campus, including departments at Geisel School of Medicine, Dartmouth's College of Arts and Sciences, Thayer School of Engineering, Tuck School of Business, Dartmouth Cancer Center, and Dartmouth Health's clinical departments. CPHAI is a new initiative that will foster novel, interdisciplinary AI and machine learning research, advancing public health and healthcare delivery, and positioning Dartmouth as a global leader in precision health. As the birthplace of AI, Dartmouth has a rich history in AI and the CPHAI builds on that history to increase faculty in this exciting area.
As an Ivy League research university and the birthplace of AI, Dartmouth is a leading teaching and research institution in the United States, dedicated to finding solutions to the world's most challenging problems and preparing students for leadership roles. The Center for Precision Health & Artificial Intelligence is at the forefront of this commitment, fostering novel, interdisciplinary AI and machine learning research to harness biomedical data, advancing public health, and healthcare delivery.
Dartmouth is located in the picturesque Upper Connecticut River Valley on the New Hampshire and Vermont border, a vibrant, academic and professional community offering excellent schools, lively arts, and an unmatched quality of life in a beautiful, rural setting. Boston, MA; Burlington, VT; New Haven, CT, New York City, New York, and Montreal, QC are all within a few hours' drive.
Candidates are expected to have a strong record of scholarship, to develop an independent research program, and to participate in graduate-level teaching. Evidence of an ability to secure extramural funding is desirable. Furthermore, candidates should have a PhD and/or MD (or equivalent) in a related field, and current faculty appointment at the level of Assistant Professor will be preferred, but Associate Professors may also be considered.
Dartmouth College is an equal opportunity employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.
The Department of Biomedical Data Science (BMDS) and the Center for Precision Health & Artificial Intelligence (CPHAI) at Geisel, and Dartmouth are committed to fostering a diverse, equitable, and inclusive population of students, faculty, and staff. Dartmouth recently launched a new initiative, Toward Equity, that embraces shared definitions of diversity, equity, inclusion, and belonging as a foundation for our success in institutional transformation. We are especially interested in applicants who are able to work effectively with students, faculty, and staff from all backgrounds and with different identities and attributes.
Qualifications
Successful applicants will develop vigorous and innovative research programs focused on biomedical informatics, machine learning in healthcare, personalized medicine, learning healthcare systems, medical image analysis, clinical natural language processing, or multimodal healthcare data analytics, with the goal of having a practical impact on healthcare delivery and patient outcomes. Expertise in interpretable machine learning, ethical and equitable use of AI, and algorithmic bias mitigation is strongly encouraged. A generous start-up package, as well as access to state-of-the-art research facilities, will be provided. Individuals will be given opportunities for mentorship and teaching in relevant PhD and MS graduate programs (e.g., Program in Quantitative Biomedical Sciences). Opportunities for innovative research methods development and application are facilitated through Dartmouth's high-performance computing resources (e.g., Discovery), access to Dartmouth's Shared Resources, and interactions with existing NIH Centers for Biomedical Research Excellence (COBREs) at Dartmouth. Successful individuals will be provided a tenure-track faculty appointment in the Department of Biomedical Data Science at the Geisel School of Medicine at Dartmouth College. Secondary appointments in other departments in Dartmouth College and Dartmouth-Health may be available depending on expertise and experience.
Application Instructions
Applicants should upload a cover letter (addressed to the Chair of the Search Committee, Professor Saeed Hassanpour), along with a curriculum vitae, a research statement describing their research interests and future research plans (up to 3 pages), a statement of teaching philosophy (up to one page), a statement of contributions to diversity (up to one page), and three letters of recommendation from referees to apply.interfolio.com/134886 .
Equal Employment Opportunity Statement
Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of sex, race, color, religion, age, disability, status as a veteran, national or ethnic origin, sexual orientation, gender identity, gender expression, or any other category protected by applicable law, in the administration of its educational policies, admission policies, scholarship and loan programs, employment, or other school administered programs. Applications by members of all underrepresented groups are encouraged.
If you are an applicant with a disability and need accommodations to assist in the job application or interview process, please email ADA@dartmouth.edu. In the subject line, please state “Application Accommodations” and include the job number or title. Someone from the ADA Compliance Office will be in touch within 2 business days.
For additional employment opportunities at Dartmouth College, please visit the Dartmouth Interfolio Job Board, the Office of the Provost, and the Office of Human Resources.
Offers of employment are contingent upon consent to a pre-employment background check with results acceptable under Dartmouth policy. Please visit the Office of Human Resources for details.
All Dartmouth College employees must comply with the College's health and safety guidelines and protocols, including but not limited to those related to COVID-19, such as any testing, masking, or distancing requirements that may be in place at any given time or place.
