Job description - The Das lab (www.jishnulab.org) seeks a Research Scientist to lead projects that use machine learning and network-based approaches to integrate multi-omic data, including single-cell, spatial, genomic, and proteomic modalities, in the context of infectious and autoimmune disease. The Research Scientist will develop and apply interpretable computational frameworks to uncover the cellular and molecular mechanisms that drive immune responses and disease outcomes, working closely with experimental and clinical collaborators. Beyond their own research program, the successful candidate will take on managerial responsibilities for other lab projects. These include coordinating timelines and deliverables, and contributing to manuscript preparation and grant writing.
Skills required - Candidates must hold a PhD in computational biology, systems immunology, or a related field, and have at least three years of relevant post-PhD research experience. A strong publication record and demonstrated expertise in machine learning, network inference, or multi-omic data analysis are expected.
Other information - Our based in the Department of Immunology and part of the Center for Systems Immunology, offers a highly interdisciplinary and collaborative training environment at the interface of systems biology, AI/ML and immunology. Recent representative publications from the lab (relevant to this role) include SLIDE (Rahimikollu et al Nature Methods 2024), SWING (Siwek et al Nature Methods 2025) and CoreNet (Omelchenko et al Nature Communications 2026). The Research Scientist will receive strong support for professional growth, including opportunities to lead high-impact publications, take part in grant development, build leadership and mentoring skills, and present work at national and international meetings. The position is well suited to someone looking to establish an independent research identity within a vibrant, supportive, and intellectually ambitious community.
