Job Description
The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a highly motivated research assistant/associate with experience in machine learning and programming. The successful candidate will play a pivotal role in conducting applied machine learning research, analyzing multiple data modalities, and developing computational tools to address critical challenges in pathology diagnosis and personalized cancer treatments.
Qualifications
- Bachelor's or Master's degree in biomedical informatics, computer science, bioinformatics, computational biology, or a related field.
- Strong programming skills in languages such as Python or R.
- Proficiency in data analysis and machine learning techniques.
- Ability to work independently and collaboratively.
- Prior research experience in biomedical informatics or a related field is preferred but not required.
Responsibilities
- Assist in designing novel machine learning models for analyzing pathology, clinical, and molecular data.
- Collect, organize, and analyze large-scale biomedical datasets using advanced computational techniques and statistical methods.
- Collaborate with multidisciplinary teams of scientists, clinicians, and engineers to advance research projects.
- Contribute to scientific publications, conference presentations, and grant proposals.
Start Date
This position is available immediately and can be renewed annually.
How to Apply
Please send your curriculum vitae and the names and contact information of two to three references to Kun-Hsing Yu, MD, PhD. (Kun-Hsing_Yu AT hms DOT harvard DOT edu)
Date Posted
March 6, 2024