Department of Mental Health is seeking a Research Data Analyst. Our research team seeks to study how environmental exposures and genomics work together to increase risk for autism spectrum disorder (ASD) and impaired cognitive development. As part of this effort we are looking for a highly motivated and talented individual with a strong background in data management and data analysis to join our research team. You will work with a highly collaborative interdisciplinary team of investigators spanning the fields of epidemiology, genomics, biostatistics, and environmental and mental health sciences.
Under the supervision of the principal investigator you will be expected to independently carry out data analyses and work effectively with team members to achieve the overall goals of this project. The ideal candidate should enjoy a fast-paced, team-centered approach to discovery.
The Johns Hopkins Bloomberg School of Public Health is consistently ranked the #1 School of Public Health in the world. It is dedicated to promoting human health and provides a rich environment for research and translation of those findings. Additionally, our research team is affiliated with the Wendy Klag Center for Autism & Developmental Disabilities (WKC). As a member of our research team you will have an opportunity to attend WKC hosted journal clubs, meetings, and annual symposia and retreat events.
Specific Duties and Responsibilities:
Work in collaboration with scientists and core staff to address research questions involving the analysis of genetic and environmental risk hypotheses.
Carry out data analyses for large genomic and epidemiologic datasets, including genetic, epigenetic, expression, and other –omics data as well as high-dimensional environmental data such as longitudinal air quality data.
Mine publically available genomic and environmental databases.
Problem-solve applications of existing analytic tools to specific data analysis projects, including independent identification of problems and initial attempts at solutions.
Modify existing methods for application to new datasets and types of analyses – typically using R software.
Identify systematic problems with data related to lab or data cleaning methods, software, or personnel.
Documentation of work and data analyses, particularly through organized digital records of data set sources, file locations, and statistical and bioinformatics code.
Contribute to local protocol development and the preparation of research grant applications in a collaborative setting.
Interpret and translate the results of statistical analyses.
Discuss with colleagues, investigators, and supervisor the need for any additional analyses and/or special methodological needs.
Clearly summarize and present findings at team meetings.
Prepare written reports of statistical analyses, including relevant statistical theory, references, methods, results, and conclusions to contribute to scientific publications.
Keep abreast of technical and academic resources related to the methodology of statistical analyses.
Bachelor's degree in related discipline. 3 years related experience.
JHU Equivalency: Additional education (Master's level) may substitute for required experience, to the extent permitted by the JHU equivalency formula.
Master's degree in quantitative science field (biostatistics, epidemiology, computer science, biology with a strong quantitative background, etc.).
Experience in data management of high-dimensional or longitudinal data is preferred.
Additional Knowledge, Skills, and Abilities:
Must be detail oriented, have effective organizational skills, and be able to prioritize workload appropriately.
Must be able to perform multiple tasks efficiently and correctly.
Must be organized and able to appropriately prioritize responsibilities in a fast-paced environment.
Arrives at work on time and is prepared to assist coworkers and faculty.
Proficiency with bioinformatics tools for data management and statistical tools for data analyses, including a programming environment such as R, as well as experience using a high-performance compute cluster.
Must be organized, pay attention to detail, and be able to effectively communicate with team members.
Classified Title: Research Data Analyst Working Title: Research Data Analyst Role/Level/Range: ACRP/04/MC Starting Salary Range: $44,749.00 - $47,500.00; Commensurate with experience Employee Group: Full Time Schedule: Monday - Friday Exempt Status: Exempt Location: School of Public Health, East Baltimore Campus Department Name: Mental Health Personnel Area: School of Public Health
The successful candidate(s) for this position will be subject to a pre-employment background check.
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