CAMRIS is a clinical and life sciences firm that realizes innovative solutions to challenges worldwide through high-quality, cost-effective program and research management services. We combine our proven systems with today’s most effective, evidence-based best practices to improve the lives of people around the world. Our core practice areas include HIV/AIDS, microbiology and infectious disease research, vaccine research, development and production, global health security, biodefense, and clinical research.
CAMRIS attracts the next generation of scientists to work at premier government research and development institutions with state-of-the-art facilities and equipment, under world leaders in health research. Our exceptional benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, and life insurance. If you enjoy being a part of a high performing health and research organization dedicated to making the world a healthier place, please apply today!
We are seeking a Bioinformatics Scientist to support the overall functions of the Laboratory of Immune System Biology (LISB), at the NIH.
* Perform computational analysis, integration, and modeling of diverse data sets, to include microarray, bulk and single-cell RNAseq, ATAC-seq, flow and CyTOF phenotyping, serum proteome, SNP genotyping, and microbiome profiling.
* Perform “Bottom up” dynamical modeling, for example, starting from networks of molecular/cellular interactions.
* Perform computer programming with proficiency in R and at least one scripting language (Perl/Python/Ruby)
* Perform database design and construction, and dynamical system theory and modeling.
* Servce as the main POC and laison with NIH/NIAID IT and high-performance computing teams to set up, develop, and maintain necessary computational infrastructure and tools for research.
* Prepare and assist with writing of scientific manuscripts and attend/present at scientific seminars.
* Work location: Bldg 4, Room 135
* Part-time: Up to 300 hours total
* Ph.D. in computational biology, statistics, bioinformatics, systems biology, biophysics, or relevant disciplines.
* 8 years work experience with bioinformatics and the analysis and modeling of large-scale data sets.
* Knowledge of statistics and quantitative modeling.
* Proficiency in C/C++ and/or Java as well as experience with multiple OS platforms (Windows, MAC, Linux) are pluses.
* Research experience or formal training in the biomedical sciences is a plus.