The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is looking for junior and senior scientists to join the U.S. Army Medical Research and Materiel Command’s Biotechnology High Performance Computing Software Applications Institute (BHSAI) [www.BHSAI.org] located in Frederick, Maryland. HJF provides scientific, technical, and programmatic support services to the BHSAI.
This opening is for dynamic research scientists interested in working in multiple cross-disciplinary research projects.
The Computational Biologist is responsible for advancing scientific knowledge by developing and applying their knowledge to original research problems in Military Medicine. The Research Scientist will apply their experiences in the collection, analysis, integration, and modeling of large datasets using computational biology and systems biology methods to provide key biological and physiological insights in the field of immunology and vaccine research.
The successful candidate will support and drive research in computational immunology and vaccine design. The candidate will work closely with multiple research teams to design, develop, and implement tools, systems, and methods to use complex multi-platform datasets to advance our understanding of the biology of infectious diseases and vaccines.
The candidate is expected to have the following major duties and responsibilities:
Perform expert computational research in immunology and infectious diseases and establish scientific hypotheses that can be addressed using computational methods
Carry out data analysis and modeling activities through the design and delivery of novel algorithms, tools, and techniques using genomic, transcriptomic, proteomic, flow cytometry, and biological screening assays
Support the development of databases, software, and user-interfaces that implement newly developed algorithms or methods
Provide expert advice on computational biology tools, experimental design, data analysis, and data interpretation
Present research results at scientific conferences and prepare manuscripts for publication in peer-reviewed journals
Actively identify and pursue opportunities to collaborate externally in support of the BHSAI’s technical and scientific goals with experts and collaborators
Minimum Education/Training Requirements: Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or closely related field. Depending on seniority level and experience, the candidate is expected to have the following qualifications:
Solid knowledge of informatics tools and visualization/data mining packages and a proven aptitude for optimally adapting them to specific problems
Proficiency in common database/programming/scripting languages (e.g., SQL, R, Python, Perl, Java, MATLAB, C++) and their application in biomedical research
First-hand experience in analyzing and interpreting large and complex data sets and a familiarity with common data types
Excellent writing and oral communication skills
Proven track-record of publishing relevant bioinformatics or systems biology results in peer-reviewed journals
Working knowledge of biostatistics including significance testing, power analysis, and boot-strapping methods
Demonstrated scientific knowledge of cell biology, molecular biology, and/or immunology
Minimum Experience: 2-4 years of experience preferred. Previous computational biology experience is a MUST HAVE.
PLEASE ONLY APPLY IF YOU HAVE PROVEN COMPUTATIONAL BIOLOGY EXPERIENCE. The candidate is expected to simultaneously work on multiple projects, involving a diverse and interdisciplinary team of scientists across multiple laboratories.
Background Requirement: Candidates must be eligible to receive a Public Trust clearance. Foreign nationals are welcome to apply. U.S. citizenship or permanent resident status is not required. However, a background requirement is that the employee must have lived in the US three consecutive years out of the past five years.
HJF is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.