We are a part of the Scripps Research Translational Institute and the Department of Integrative Structural and Computational Biology at Scripps Research.
We are interested in the design of probabilistic machine learning methods and statistical models that incorporate known biochemical principles to facilitate decision-making from limited data and to allow for asking smarter questions. We have a major focus on quantitative analysis of regulatory variation in the human genome from large scale functional genomics data and its application to rare diseases and precision medicine.
We’re excited to hear from you…
If you are interested in working with us, send your resume to pejman AT scripps DOT edu. We hire at all levels from interns to postdocs. Also, we are a part of the doctoral program at Scripps. If you are interested in doing your graduate work in our group, feel free to reach out before applying to the program.
If you apply using the official form on the Scripps career page, please make sure to send a direct note to Pejman as well.