Associate Computational Biologist I

The Massachusetts General Hospital (MGH) Center for Immunology and Inflammatory Diseases (CIID) is looking for exceptional computational biologist candidates to join the Single Cell Genomics Research Program directed by Dr. Alexandra-Chloé Villani. This multidisciplinary research program focuses on developing and implementing systems immunology and genomics strategies to further our understanding of the human immune system.  The Villani laboratory is also affiliated to the Broad Institute of MIT & Harvard, offering additional opportunities to collaborate and bridge with this vibrant community.

This position offers the opportunity to employ the cutting-edge of computational biology, machine learning and statistical research to solve important problems in health and disease related to the human immune system, autoimmune diseases and cancer. Single cell genomics is revolutionizing our understanding of biology – from redefining our understanding of the types of cells, a fundamental unit in biology, to translating this knowledge to better understand disease phenotypes and the implications of this to therapeutics. We are looking for a highly motivated and talented individual with a computational background to join our efforts. This position represents an exciting opportunity to work as a member of an interdisciplinary team of biologists, laboratory scientists, computational biologists, and physicians working together on transformative translational efforts that are bridging between the clinical and research interfaces. Our research program is developing and implementing unbiased experimental and computational strategies that can directly survey the human immune system in order to define at high resolution the key processes and players underlying healthy human immune responses as a foundation for understanding how immunity is dysregulated in diseases. This includes establishing a more comprehensive roadmap of the human immune system through identifying novel immune cell subpopulations across tissues using single-cell ‘omics’ strategies along with mapping the cellular ecosystem and associated molecular circuitry driving immune diseases. Collectively, our research program is empowering the study of the human immune system as a function of “healthy” baseline, inflammatory state, disease progression, and response to treatment with emphasis on precision medicine, ultimately paving the way for developing a comprehensive human immune lexicon that is key to promoting effective bench-to-beside translation of findings. 

As part of this position, you will conceive and apply algorithms as well as analytical approaches to analyze single-cell RNA/DNA/protein/ATAC-sequencing sequencing data generated from a wide-range of human tissue and immune-related disease conditions. The candidates will also take the lead on performing a wide range single-cell multi-omics analyses and collaborate directly with scientists performing experimental research studies at the bench and physicians seeing the patients. You must be capable of working in an interactive team environment while conducting self-directed research within broader goals set by group.