We are seeking a postdoctoral researcher to join the Biological Computing Section (BCS), Center for Structural Biology (CSB), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Frederick, MD.
The BCS group develops algorithmic solutions to address the increasing demands for quantitative and computational approaches in electron microscopy, integrative structural biology, and materials science. You will be working in a creative collaborative team developing and applying novel computational solutions for analyzing high-dimensional noisy image data.
The research of the BCS group is supported by the collaborative and interdisciplinary NIH intramural program, which includes more than 1100 labs and provides state-of-the-art equipment in structural biology, biochemistry, and biophysics. We have excellent access to high-end electron microscopes (Titan Krios/Cold FEG/Selectris/Falcon 4, Arctica/BioQuantum/K3 and Aquilos II CryoFIB) and smaller screening electron microscopes available at the NCI Frederick campus. These core facilities are supported by Ph.D. level staff and offer hands-on training. In addition, NIH is committed to the continuing education and career development of its research staff through numerous courses and workshops offered by the NIH Office of Intramural Training & Education (OITE) and Foundation for Advanced Education in the Sciences (FAES). There are also opportunities for intramural career transition funding (K grants).
NIH offers a competitive starting stipend and comprehensive health insurance. Appointments will be one year initially and renewable up to a total of 3-5 years based on performance. The NIH is dedicated to building a diverse community in its training and employment programs. This position is subject to a background investigation.
Qualifications and Job Details
Required and Preferred Skills
- You have a Ph.D. degree in quantitative science (preferably mathematics, computer science, physics, statistics, engineering, materials science, theoretical chemistry, medical imaging or bioinformatics).
- You enjoy coding in a collaborative interdisciplinary environment to solve difficult computational problems.
- You are keen to use your skills to develop structural methodologies that may be applied to accelerate discovery across multiple disciplines and make a significant impact on biomedical and materials research world-wide.
- You have a working knowledge of structured programming in a middle-level language, algorithms and statistical analysis with demonstrated experience in problem solving.
- You are highly motivated to participate in rigorous and innovative research programs.
- You possess an excellent work ethic and team spirit, you can work independently and efficiently, and you can collaborate closely with members of our group and other labs on joint projects.
- You have a proven record of collaborative research.
Experience in developing image processing algorithms, particularly for the analysis of transmission electron microscopy images, is a plus.
About the NCI Center for Cancer Research
The Center for Cancer Research (CCR) is home to nearly 250 basic and clinical research groups located on two campuses just outside of Washington, D.C. CCR is part of the National Cancer Institute (NCI) and makes up the largest component of the research effort at the National Institutes of Health (NIH). Centrally supported by long-term funding and a culture of complete intellectual freedom, CCR scientists are able to pursue the most important and challenging problems in cancer research. We collaborate with academic and commercial partners and advocacy groups across the world in efforts to prevent, diagnose and treat cancer and HIV/AIDS. The CCR research portfolio covers the full spectrum of biological and biomedical research. Our work ranges from basic to translational and clinical, and our clinical trials are conducted in the NIH Clinical Center, the world’s largest hospital dedicated to clinical research that offers a robust infrastructure to support CCR’s patients on an estimated 250 open studies. The success of CCR is grounded in an exceptionally strong discovery research program that provides the foundation for the seamless translation of insights from bench to bedside. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences.
Frederick is the second largest city in Maryland but retains a “small town” feel, surrounded by mountain views with a vibrant Main Street community. The city offers outstanding schools, a balanced and thriving economy and a highly educated workforce.
Applicants should send a cover letter indicating preferred starting date, a brief description (1-2 pages) of past research, CV, and contact information for at least two references via email to Hans Elmlund: email@example.com). More information about BCS can be found at: https://ccr.cancer.gov/staff-directory/hans-elmlund, https://simplecryoem.com/ and https://github.com/hael/SIMPLE. Applications are open until the position is filled.