Our research team within the Mental Health Department 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 as a Senior Research Data Analyst.
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 & 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.
Minimum Qualifications (Mandatory):
Master's degree in quantitative science field (biostatistics, epidemiology, computer science, psychology or biology) or related field with 1 year related experience.
Require highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
Demonstrated ability on significant graduate project or additional doctoral education may substitute for experience to the extent permitted by the JHU equivalency formula.
Experience in data management of high-dimensional or longitudinal data is preferred.
Typically require PhD.
Special Knowledge, Skills & Abilities:
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.
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.
JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
Classified Title: Sr. Research Data Analyst Role/Level/Range: ACRP/04/MD Starting Salary Range: $52,495 - $72,210 annually (commensurate with experience) Employee group: Full Time Schedule: M-F Exempt Status: Exempt Location: School of Public Health Department name: Mental Health Research Projects 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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