HMS - Associate in Biomedical Informatics (HIDIVE Lab)

HMS - Associate in Biomedical Informatics (HIDIVE Lab) Title HMS - Associate in Biomedical Informatics (HIDIVE Lab) School School Harvard Medical School Department/Area Position Description Our Lab Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems! The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface of human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar. We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high impact data visualization tools and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team! Your Role As an Associate in the lab, you will be part of our research team and contribute one or more of the following skills to HIDIVE Lab projects: research and methods development software engineering, and visualization, user interface, or user experience design data collection, management, and analysis academic writing You will work under the mentorship of the PI, postdoctoral fellows, or other senior lab members. Our Resources The HIDIVE Lab participates in large-scale collaborative projects such as Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects. Our work also benefits from multiple research software products (e.g., HiGlass , Vitessce , Gosling , HuBMAP Data Portal User Interface , etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research. Basic Qualifications Bachelor or Masters degree in biomedical informatics, computer science, computational biology, data science or a related field. Prior research experience (internships, research assistantships) and contributions to scientific projects involving computational work. Additional Qualifications If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees. 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. #J-18808-Ljbffr Harvard University