Sr. Research Data Analyst (Health Policy and Management&#x29

Johns Hopkins University
Baltimore, MD, United States
29 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$55,800.0 - $97,600.0
Working hours
Regular working hours

Tech stack

Data Analysis Databases Data Validation Data Files Python (Programming Language) Software Tools SQL Databases Data Processing Electronic Medical Records Software Coding Programming Languages

Job description

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 coordination of data and data analysis activities across multiple studies., * Develop, manage, and maintain a database for study data for multiple studies.

  • 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.

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.

Requirements

  • Master’s Degree in a related field.
  • One year of related experience.
  • Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research.
  • Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

  • PhD in a related field.
  • Strong proficiency in coding and data wrangling with SQL, R and/or Python for statistical analysis.

  • Experience with econometrics techniques.

  • Experience with health cost related data sets.

Technical Skills & Expected Level of Proficiency

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on main.hercjobs.org

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:38 min

Reusing email software standards for HTTP file uploads

Imran Nazar · World Congress 2023

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer · World Congress 2021

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

Videos

See all

Related articles

See all