Postdoctoral Fellowship

Department/Program: Quantitative SciencesThe Convergence Institute is recruiting postdoctoral fellows for The Convergence Fellows Program. The goal of the Convergence Institute is to bring together the brightest minds in cancer biology, clinical oncology, engineering, and computational biology to make new discoveries and bring forward the next generation of cancer research. The Institute consists of a transdisciplinary team of faculty and co-mentored trainees across career stages.Data science and new measurement technologies are revolutionizing cancer research. Formal didactic programming will be offered to promote cross-pollination of fellows between labs and the oncology medical fellowship programs to ensure the transdisciplinary training, productivity, and career development of the fellows. This collaborative, transdisciplinary research environment, promoted by the program and the broader Johns Hopkins University, fosters a diverse and inclusive community. Additionally, it provides the opportunity to form a cohort of postdoctoral fellows working together to advance the next-generation of Convergence Cancer research. Trainees will have the opportunity to develop hybrid wet/dry lab research skills to advance multi-disciplinary team science research.The Convergence Fellows program will form a cohort of postdocs spanning scientific disciplines to lead this advance through team science challenge problems in cancer research. Trainees will work at the cutting-edge of technology-driven, team-science research in cancer biology under the mentorship of Johns Hopkins University School of Medicine Sidney Kimmel Comprehensive Cancer Center (SKCCC) Investigators and large-scale team science projects advancing Convergence research. Specific labs and opportunities are available at the Convergence Fellowship Webpage, and include cutting-edge convergence researchers, data science education, and infrastructure projects.Fellowship RequirementsDevelop an independent research project in the advancement of novel data science, genomics, or profiling technologies for cancer research.Participate in applied research under the supervision of a multidisciplinary mentoring team.Provide and participate in didactic training in new technologies, including joint presentation with clinical fellows in the Oncology journal club.Participate in programmatic activities, presenting on research in the SKCCC trainee research activities and JHU Convergence Institute Symposium.Collaborate with fellow trainees in cohort on cutting edge technologies and computational advances to solve grand challenge problems in cancer biology and clinical oncology.Attend training in grant writing, and submit an F32, K99/R00, or equivalent.Qualifications

PhD or equivalent with commitment to the application of emerging technologies, computational biology, and quantitative sciences to basic and translational cancer research. Candidates who are computationally trained or from biology disciplines who are seeking training in computation and technology development will also be considered.The Johns Hopkins University is an Equal Opportunity/Affirmative Action employer. We strongly encourage qualified women and under-represented minorities to apply.

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