The 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 therapies. 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. 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 in the Institute.

Formal didactic programming will be offered to promote cross-pollination of fellows between labs and further 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 Biology.

This program will provide:

• Competitive salary on Quantitative Sciences Postdoctoral Fellow payscale.

• Training and leadership opportunities in technology-based cancer research.

• Develop hybrid wet/dry lab research skills to advance multi-disciplinary team science research.

• A cohort of trainees able to collaborate on cutting edge technologies and computational advances to solve grand challenge problems in cancer biology and clinical oncology.

• Unique opportunities for multi-disciplinary mentorship by PIs from data science, basic cancer biology, and translational oncology labs.

• An annual symposium to showcase research projects by Convergence Fellows.

Candidate 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 (e.g., degree in Computational Biology, Bioinformatics, Biomedical Engineering, Mathematics, Computer Science, or Biostatistics) or from biology disciplines who are seeking training in computation and technology development will also be considered.

Fellowship requirements

• Develop 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 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 Genomics Symposium.

• Attend training in grant writing, and submit an F32, K99/R00, or equivalent.

To Apply

A complete application should include:

• Cover letter

• Current CV

• Three letters of recommendation

Send application materials to Lauren Ciotti [email protected]. The program will begin accepting applications during the Fall of 2022, with a planned start date of September 2023.

The Johns Hopkins University is an Equal Opportunity/Affirmative Action employer. We strongly encourage qualified women and under-represented minorities to apply.