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. in areas such as systems biology, stem cell/developmental biology, biophysics, computational genomics, microfluidics, or related fields. Contact Information: SB Hiring Team 200 Longwood Avenue Armenise
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and cell differentiation. We develop technologies to generate statistical data sets that make these problems tractable, as well as computational tools and laws governing biological system behavior. We
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common CNAs found in breast cancer (https://pubmed.ncbi.nlm.nih.gov/39567747/). Several lines of evidence suggest that these CNAs increase cell fitness and that cells carrying these CNAs represent
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experimental and computational expertise in single‑cell imaging are especially encouraged to apply. Contact Information: SB Hiring Team 200 Longwood Avenue Armenise Building 623 Boston MA, 02115 Contact Email
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multidisciplinary team to lead a field-based study characterizing volatile organic compound (VOC) exposure across diverse real-world indoor environments. This role offers the opportunity to conduct mobile sensor
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(e.g., organotypic slice cultures, intravital imaging, and/or ex vivo tissue imaging) Candidates with both experimental and computational expertise in single‑cell imaging are especially encouraged
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Qualifications: Ph.D. in Molecular Biology, Genetics, Cell Biology, or a closely related field, with a strong emphasis on cancer research. Demonstrated expertise in molecular biology techniques and omics
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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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of transmembrane signal transduction. Collaboration with team members specializing in molecular biology, computational modeling, and cell biology is encouraged, as is the presentation of research findings in
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods