A position is available the laboratory of Alexis Battle at Johns Hopkins University. The candidate will develop, implement, and support activities in probabilistic modeling and machine learning with applications in genomic data analysis. The candidate will be part of a research team working on several ongoing projects including but not limited to single-cell RNA-sequencing data modeling, time series genomic data analysis, genetic association studies, and gene expression data analysis. The candidate will design novel methods and experiments in consultation with faculty and collaborators. The candidate will evaluate the state of ongoing projects and will make recommendations on the project regarding design choices, testing protocols, experimental design, and data analysis.
Specific Duties & Responsibilities:
Design machine learning approaches to identifying independent causal signals from diverse genomic association studies.
Design machine learning approaches to analysis of single-cell transcriptomic and time course data.
Design optimization procedures to effectively learn parameters of models developed.
Evaluate performance of each model and method tested.
In collaboration with other researchers, write manuscripts for publication describing approaches and analysis completed.
Minimum Qualifications (Mandatory):
Bachelor’s degree in Statistics, Applied Math, Computer Science, Biomedical Engineering or a closely related field.
At least 2 years experience in research environment.
Experience working on multidisciplinary teams.
Experience in preparing manuscripts for scientific publications. Experience with design of innovative technology.
Special Knowledge, Skills, and Abilities:
Working knowledge of computer programming language(s):R, Python, or C++. Familiarity with genomic data including RNA-sequencing and genotyping. Familiarity with machine learning and probabilistic modeling.
Advanced knowledge of machine learning and genomics.
Familiarity and experience with programming, particularly for statistical analysis.
Willingness to learn specialized software used in the research.
Experience in genomic data analysis.
Communication skills to present and public research work.
Classified Title: Associate Staff Engineer Role/Level/Range: ACRP/04/MD Starting Salary Range: $52,495 to $72,210 per year Employee group: Full Time Schedule: Monday through Friday Exempt Status: Exempt Location: 01-MD:Homewood Campus Department name: 10001485-Department of Biomedical Engineering Personnel area: Whiting School of Engineering
The successful candidate(s) for this position will be subject to a pre-employment background check.
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Johns Hopkins University remains committed to its founding principle, that education for all students should be grounded in exploration and discovery. Hopkins students are challenged not just to learn but also to advance learning itself. Critical thinking, problem solving, creativity, and entrepreneurship are all encouraged and nourished in this unique educational environment. After more than 130 years, Johns Hopkins remains a world leader in both teaching and research. Faculty members and their research colleagues at the university's Applied Physics Laboratory have each year since 1979 won Johns Hopkins more federal research and development funding than any other university. The university has nine academic divisions and campuses throughout the Baltimore-Washington area. The Krieger School of Arts and Sciences, the Whiting School of Engineering, the School of Education and the Carey Business School are based at the Homewood campus in northern Baltimore. The schools of Medicine, Public Health, and Nursing share a campus in east Baltimore with The Johns Hopkins Hospital. The Peabody Institute, a leading professional school of music, is located on Mount Vernon Place in downtown Bal...timore. The Paul H. Nitze School of Advanced International Studies is located in Washington's Dupont Circle area.