Data Scientist I
The Johns Hopkins UniversityAbout the role
We are seeking a Data Scientist I who will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data extraction tools and carry out data management, visualization, and analysis tasks.
Specific Duties & Responsibilities
Support the development of dashboards, calculations, and reports which may require programming.
Support the development and tuning of machine learning models, which may require programming.
Support the development of infrastructure for cleaning and processing data and running experiments to evaluate system performance.
Mine various data resources for development of key metrics, performance indicators, and general business intelligence useful for planning and service design.
Perform error analysis and suggest and implement improvements.
Other duties as assigned.
In addition to the duties described above
Wrangle and analyze Electronic Health Record data other real world data including health insurance claims.
Use SQL, R and/or Python for statistical analysis.
Apply best practices for real-world evidence principles, including bias, confounding, and study design considerations.
Minimum Qualifications
Bachelor’s Degree.
Four years of relevant quantitative research and analytics experience, with at least two of those years including complex programming experience.
Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.
Preferred Qualifications
Strong proficiency in coding and data wrangling with SQL, R and/or Python for statistical analysis.
Experience with econometrics techniques.
Experience with electronic health records and cost related data such as claims.
Real world evidence techniques including target trial emulation.
Technical Skills & Expected Level Of Proficiency
Continuous Improvement - Developing
Data Architecture - Developing
Data Management and Analysis - Developing
Data Tools and Platforms - Developing
Data Validation and Quality Assurance - Developing
Data Visualization - Developing
Machine Learning - Developing
Oral and written communications - Developing
Programming Languages - Developing
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
Classified Title: Data Scientist I
Role/Level/Range: ATP/04/PG
Starting Salary Range: $102,295 - $179,375 Annually (Commensurate w/exp.)
Employee group: Full Time
Schedule: Monday to Friday: 9:00am – 5:00pm
FLSA Status: Exempt
Location: Hybrid/School of Public Health
Department name: Health Economics
Personnel area: School of Public Health
Responsibilities
- Support the development of dashboards, calculations, and reports which may require programming.
- Support the development and tuning of machine learning models.
- Support the development of infrastructure for cleaning and processing data.
- Mine various data resources for development of key metrics and performance indicators.
- Perform error analysis and suggest and implement improvements.
Qualifications
- Bachelor’s Degree.
- Four years of relevant quantitative research and analytics experience.
- Strong proficiency in coding and data wrangling with SQL, R and/or Python.