The Rockefeller University seeks an Image Analyst to join Bio-Imaging Resource Center. Funded initially by a five-year Beckman Foundation grant to the Rockefeller University, the Image Analyst will contribute to the development of a new, integrated platform for the acquisition, processing, and analysis of data from pre-commercial light-sheet instruments for microscopy on living cells. The Image Analyst will implement and design deep learning-based computational workflows in order to extract meaningful information from light-sheet data obtained from a variety of different experimental organisms (cultured cells, nematode worms, zebrafish, mammalian embryos) and biological models. As a staff member in the Bio-Imaging Resource Center (BIRC), and working together with the Bioinformatics Resource Center (BRC), the Image Analyst will liaise between the existing microscopy and image analysis and informatics staff and the research scientists. Responsibilities include working in close collaboration with microscope engineers, biologists, physicists, bioinformaticians, and computer scientists in an international and interdisciplinary environment, and will involve the provision of training and assistance to researchers through approaches including workshops, seminars, laboratory meetings, and regularly scheduled help-desk sessions. Using both open-source packages and commercial image analysis software, the Image Analyst will also advise other staff members in selecting the most suitable workflows to quantitatively analyze image data acquired with a variety of imaging modalities. The Image Analyst will be expected to collaborate with all research scientists using the light-sheet microscopes and to facilitate the use of deep-learning methods by the whole Rockefeller research community. Additional responsibilities include assisting in piloting the implementation of the OMERO database to store, manage, and process images acquired on the new light-sheet systems, to propagate the use of OMERO throughout the BIRC and eventually the entire Institution.
Ph.D. or equivalent in biology, bioinformatics, computer science, or a related field required. Experience in developing bioimage analysis tools and in working with biological or medical images required. Knowledge and ability in open-source image analysis and deep-learning frameworks, such as DeepImageJ, Ilastik, Napari, ImJoy, CellProfiler, ZeroCostDL4Mic, and KNIME, a must. Experience with commercial image-analysis software such as Imaris, Arivis, and Huygens preferred. Broad knowledge of the use of high-level programming and scripting languages (Java/Python/R/MATLAB) in the analysis of biological imaging data required. Must have proficiency in the use of version control (Git) and the dynamic documentation of software code (jupiter/rmarkdown). Must be enthusiastic, rigorous, and motivated, have excellent interpersonal and communication skills, and possess the flexibility required to work in a service-oriented environment. Must be a self-starter with a proven ability to initiate collaborative projects and to introduce colleagues from different backgrounds to advanced image-analysis methods.
We offer an excellent benefits package, tuition reimbursement and a competitive salary. The Rockefeller University is located on Manhattan's Upper East Side, on a 15-acre campus, along the East River (www.rockefeller.edu/views.php).
The Rockefeller University is an Equal Opportunity Employer - Minorities/Women/Disabled/Veterans.
Click here to apply directly using The Rockefeller University website.
Internal Number: IRC26285
About The Rockefeller University
The Rockefeller University is a world-renowned center for research and graduate education in the biomedical sciences, chemistry, bioinformatics and physics. The university's 72 laboratories conduct both clinical and basic research and study a diverse range of biological and biomedical problems with the mission of improving the understanding of life for the benefit of humanity.