Sr. Research Data Analyst; Mental Health

We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for the coordination of data and data analysis activities across multiple studies. This position is responsible for leading a specific gene‑environment interaction analytic project for our GEARS autism center of excellence.

• Develop, manage, and database of survey data from multi-site study.
• Develop standard operating procedures for initial data entry and data updates.
• Oversee quality control procedures for database and ongoing analysis.
• Develop data models.
• Conduct statistical analyses of data collected in this system to support empirical study.
• Build transmission models.
• Create and curate software tools across diverse programming languages in support of research efforts.
• Other duties as assigned.

• Derive polygenic risk scores from large extant genome‑wide genotyping datasets.
• 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.
• Collaborate with a network of scientists and staff to address research questions involving the analysis of genetic and environmental risk hypotheses.

• Master's Degree in related field.
• One-year of related experience.
• Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.

• PhD in a related field.
• Genetic epidemiology or statistical genetics training and experience.
• Experience performing analyses on a high-performance compute cluster, utilizing parallelization and multi-threading, and mastery of the R statistical language.
• Experience in neurodevelopmental outcomes and prenatal exposures.

• Biostatistical Analysis - Intermediate
• Data Management and Analysis - Intermediate
• Data Tool and Resource Development - Intermediate
• Data Validation and Quality Assurance - Intermediate
• Project Management - Intermediate
• Research Software Development - Intermediate
• Statistical Modeling - Intermediate
• Statistical Programming - Intermediate

The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified

Title:

Sr. Research Data Analyst

Role/Level/Range: ACRP/04/MD

Starting Salary Range: $26.82 - $46.92 HRLY (Commensurate w/exp.)

Employee group:
Casual / On Call

Schedule:

Hours Vary;
Typically 9:00am-2:00pm

FLSA Status:
Exempt

Location:

Remote

Department name:
Mental Health Research Projects

Personnel area:
School of Public Health

The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement.

More information can be found here: (Use the "Apply for this Job" box below)..

Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: 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.

Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered…