Kubelt
HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)
Kubelt, Harvard, Illinois, United States, 60033
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HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)
School
School Harvard Medical School
Department/Area
Department/Area Biomedical Informatics-Quad
Position Description
The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with our multidisciplinary team, and publish the findings.
Salary and Benefits This position is salaried and benefits-eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, and benefits can be found at
https://postdoc.hms.harvard.edu/guidelines
.
With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Basic Qualifications
A Ph.D. in a Biomedical Informatics, Computational Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential.
Additional Qualifications Strong problem-solving and communication skills are highly desirable for this opportunity.
Special Instructions Required documents:
Statement of Research for PhD work
Cover Letter describing your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab.
Note with names and contact information for three people who have agreed to serve as your reference
Please send your curriculum vitae, two representative papers, and the names and contact information of three references to Kun-Hsing Yu, MD, PhD. (kun-hsing_yu@hms.harvard.edu)
Expected Dates
Start date: This position is available immediately
Duration: This position has strong potential to be renewed on an annual basis.
Contact Information Faith McDonald Countway Library 695 Huntington Ave. Boston, MA 02115
EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
Supplemental Questions Required fields are indicated with an asterisk (*).
#J-18808-Ljbffr
HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI) Title HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)
School
School Harvard Medical School
Department/Area
Department/Area Biomedical Informatics-Quad
Position Description
The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with our multidisciplinary team, and publish the findings.
Salary and Benefits This position is salaried and benefits-eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post-PhD, and benefits can be found at
https://postdoc.hms.harvard.edu/guidelines
.
With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Basic Qualifications
A Ph.D. in a Biomedical Informatics, Computational Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential.
Additional Qualifications Strong problem-solving and communication skills are highly desirable for this opportunity.
Special Instructions Required documents:
Statement of Research for PhD work
Cover Letter describing your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab.
Note with names and contact information for three people who have agreed to serve as your reference
Please send your curriculum vitae, two representative papers, and the names and contact information of three references to Kun-Hsing Yu, MD, PhD. (kun-hsing_yu@hms.harvard.edu)
Expected Dates
Start date: This position is available immediately
Duration: This position has strong potential to be renewed on an annual basis.
Contact Information Faith McDonald Countway Library 695 Huntington Ave. Boston, MA 02115
EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
Supplemental Questions Required fields are indicated with an asterisk (*).
#J-18808-Ljbffr