postdoctoral associate

We are focused on providing our postdocs with opportunities to develop themselves as researchers, exposing them to cutting edge methodology and world leading collaborative science. We are always keen to hear from enthusiastic and curious scientists - please get in touch to learn more about what opportunities we currently have to support potential postdocs.



Associate Computational Biologist

We are looking for a highly motivated individual to join the Stanley Center for Psychiatric Research at the Broad Institute. This person will be responsible for integrating and analyzing GWAS, whole exome sequencing and whole genome sequencing data, and for interpreting genetic association results in the context of deeply phenotyped data sets. The candidate should have a strong computational background and demonstrated knowledge of research methods, and be able to adapt quickly and be part of a cross-functional team in a rapidly changing environment. The Stanley Center and the Broad Institute provide a vibrant multidisciplinary research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals across Boston. As a member of our team, you will be provided the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and psychiatric disease research.



Software Engineer - Hail Team

We are a small team of software engineers, mathematicians and computational biologists having outsized impact. Our open-source framework Hail ( is already being used to analyze the largest genetic data sets in existence. We are seeking software engineers at several experience levels to join our growing team.

We believe there is a unique opportunity to transform the practice of computational biology by applying deep ideas from computer science and mathematics to build the next generation of modular, scalable tools for analyzing massive genetic and biological data. These tools are needed to unravel the genetic architecture of disease and drive the development of new treatments and biotechnologies.

We implement distributed inference algorithms on top of our custom-built language, compiler, and run-time system to support querying, aggregation, and linear algebra on hundreds of thousands of human genomes. The typical dataset is now tens of terabytes and doubling every eight months. Our challenges are diverse: language and compiler design, low-level performance optimization, architecture of distributed systems, scaling established methods and inventing new ones, visualization, interoperability with other powerful tools, and close engagement with the amazing science and scientists all around us.



Data visualization designer/data scientist (on behalf oF Dr. Andrea Ganna and Dr. Samuli Ripatti)

FIMM and Broad Institute collaborate closely with the aim to create a seamless exchange of expertise and knowledge between the two institutions. Within this collaborative framework, Dr. Ganna and Dr. Ripatti are looking for a talented and passionate individual who loves data visualization and data analysis. The candidate will be based at FIMM, but with the possibility to travel or spend long period of time at the Broad Institute as required.