Flatiron Institute, NYC - Research Scientists and Postdoctoral Fellows

We are looking for motivated individuals to work at the intersection of genomics, machine learning, and large-scale computational biology, with opportunities for close collaborations with experimentalists, high-impact clinical researchers, and leading computational researchers at the Flatiron Institute. Possible projects include developing and applying deep learning and other AI/ML methods for regulatory genomics and variant interpretation, foundation and representation learning for biological data, integration of genomic, multi-omic, single-cell, spatial, phenotypic, and clinical datasets, and computational modeling of biological networks & regulatory modules. Successful candidates should have a Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics, Engineering or a related field, and have a strong quantitative & computational background.

This position will be based, and have a principal office or workspace, at the Flatiron Institute (a division of the Simons Foundation) in New York City, but have extensive interactions and an associate affiliation with Princeton University. Postdoctoral Fellows are fully funded and will receive a competitive salary and have access to the Flatiron Institute's powerful scientific computing resources. Fellows may be eligible for subsidized housing within walking distance of the Flatiron Institute.

To apply, send a CV including three references with the email subject line ‘Flatiron Postdoctoral Application’ to Olga Troyanskaya at functionlab.flatiron@gmail.com.

Princeton Precision Health - Research Scientists and Postdoctoral Fellows

The mission of the Princeton Precision Health (PPH) initiative is to revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and training the next generation of leaders. PPH seeks applicants for postdoctoral or more senior research positions to join an interdisciplinary group that is tackling a wide variety of health-related research problems and using advanced data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to environmental studies - to make novel insights and to tackle the full complexity of human health. We seek applicants to join any of the several interdisciplinary research projects within Princeton Precision Health.

Please see https://apply.interfolio.com/191252 for additional details and to apply.

Princeton University - Postdoctoral Fellow

We seek a postdoctoral fellow to join a highly interdisciplinary project with the goal of obtaining a quantitative understanding of neuronal morphogenesis. The project is a collaboration between researchers at Princeton University (where the postdoctoral fellow will be based), Harvard University, the Flatiron Institute, and the New York Structural Biology Center.

The postdoctoral fellow will perform pooled optical screens of stem cell derived human neurons to determine how genes implicated in autism impact neuronal morphogenesis and internal organization. The work will integrate approaches from the fields of human genetics and cellular biophysics, and entail the use of quantitative optical microscopy, molecular perturbations, deep learning AI models, and mechanistic biophysical models.

To apply, send a CV including three references with the email subject line ‘Postdoc Position - Genetics & Biophysics of Neuronal Morphogenesis’ to Olga Troyanskaya (functionlab.princeton@gmail.com), Dan Needleman (dan.needleman@gmail.com), and Chandra Theesfeld (chandrat@princeton.edu).

Students (Princeton University)

We are open to working with motivated students at all levels (PhD, masters, undergraduate). Fostering a collaborative environment is central to our lab. We help students develop a personal understanding of biology while cultivating the strong computational mindset required for quantitative analysis. Current Princeton students should contact Prof. Troyanskaya via e-mail and include a brief overview of their background and research interests.

Prospective PhD students are encouraged to apply to any of the following programs at Princeton University: