Axle Informatics is a bioinformatics and information technology company that offers innovative computer services, informatics, and enterprise solutions to research centers and healthcare organizations around the globe. With experts in software engineering, bioinformatics and program management, we focus on developing and applying technology tools and techniques to empower decision-making and accelerate the discovery in translational research. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of health (NIH).
We are looking for an experienced Data Scientist to support projects at the NIH. The position will be based in Rockville, Maryland. We are looking for a skilled and motivated researcher/developer with expertise in image processing, algorithm development, and deep learning. The successful applicant will be involved with developing computational analysis of images and other data acquired in collaboration with scientists, biologists, and/or clinicians across the NIH.
Computational analyses will involve combinatorial assessment of disparate data types (i.e. patient demographics, risk factors, genetic information, 2D and 3D imaging modalities, etc.) into comprehensive classification and regression models. It is desired that the scientist will construct models using a variety of approaches including traditional machine learning (i.e. logistic regression, ridge/lasso regression, random forests, support vector machines, etc.), graph analytics, and deep learning. The scientist should also be familiar with development and optimization for CUDA and/or OpenCL and able to utilize packages and libraries that call these accelerators.
The scientist will participate in experimental design, data collection, data analysis and manuscript preparation; assist intramural staff, including students and postdoctoral fellows; stay current with scientific literature; stay informed about new approaches and technologies, including participation in conferences, workshops, and/or formal classroom instruction; independently locate and utilize scientific resources; and co-author peer reviewed publications.
The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
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Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individual’s assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.