The Smithsonian Institution Data Science Lab (datascience.si.edu), housed within the Office of the Chief Information Officer, is looking to fill a postdoctoral fellowship in the area of biodiversity genomics.
The Data Science Lab was formed in response to the dramatic increase in all forms of digital data across the Smithsonian (19 museums, 9 research centers, and zoo). We seek to build collaborations both across Smithsonian units, as well as universities and other institutions. Members of our group work on a variety of data-intensive research topics including biodiversity genomics and machine learning applications of digitized museum collections. See a list of our recent publications here: https://datascience.si.edu/data-science-lab-publications
The successful applicant may design their own project or choose to build off of our current projects and collaborations. They will have the opportunity to become a certified Carpentries instructor and teach genomics and data science skills as part of our training program for Smithsonian staff, fellows, and interns (https://datascience.si.edu/carpentries) if desired.
Qualifications: Applicants should possess a Ph.D. in a biological or computational discipline, demonstrate a strong publication record and ability to conduct independent research. Proficiency in genome assembly, annotation, and phylogenomic methods as well as a standard programming language such as Python, and experience using a High Performance Computing Cluster is desired.
Appointment is initially for one year, and renewable for a second year based on performance. Due to COVID-19 restrictions, the Data Science Lab is working remotely for the foreseeable future. Applicants are not required to relocate to the Washington, DC area. Stipend: $60,000 per year, with an additional $5,000 health insurance offset and $5,000 research budget. Start date is flexible.
To apply, submit a curriculum vitae, a 1-page statement of research interests, and contact details for 2-3 academic references to Rebecca Dikow (DikowR@si.edu). Review of applications will begin July 27th, 2020 and continue until the position is filled.