We are seeking a Data Engineer. Positioned at the intersection of health services research, statistics, and data science, the Data Engineer will be responsible for the design, standards, and performance of data within the Johns Hopkins Critical Illness Precision Medicine Center of Excellence. The ideal applicant brings a love of, and skill at, rigorous problem-solving with large-scale, real-world data. Strong candidates may come from a wide range of training and backgrounds, including social science, epidemiology, health or service operations, or computer / data science. Aptitude and skill are more important than specific credentials in this rapidly changing field.
This position will work with leading experts in the field of critical care medicine to make seminal discoveries and translate those discoveries into changes in practice at both the bedside and system-level to improve the healing of patients and their loved ones. As the data lead of a diverse team involving social scientists, data scientists, clinicians, and trainees, the successful candidate will link real world data on trajectories of seriously ill patients through treatment in a diverse multi-hospital system to outcomes, using both causal inference and prediction.
The position involves collaboration with partners in the rapid and rigorous evaluation of ongoing program, organization, and delivery innovations (including both natural experiments and using individualized and cluster-randomized evaluations), development of grant proposals and building a culture of rigor, transparency, and reproducibility in data extraction, analysis, and interpretation. This role involves defining and designing data frames and products to precisely define patients' physiology, treatment, and their evolution over multiple time scales, implementing, debugging, and maintaining them. Leading and supervising a growing team in their implementation and collaborating in diverse and energetic university research and cutting-edge clinical care environments.
Specific Duties & Responsibilities
With a high level of autonomy, the Data Engineer designs and deploys large-scale data frames to support analytics and evaluation for a wide range of research, operational, and evaluation projects supporting the healing of critically ill patients, their loved ones, and the clinicians and institutions caring for them. This involves data management and integration of enterprise applications, research and other data sources in a collaborative multidisciplinary team.
The responsibilities listed below are typical examples of the work performed by this position. Not all duties assigned to this position are included, nor is it expected that everyone in this position will be assigned every job responsibility.
Design, Development & Deployment of Data
Design and implement standard operating procedures that allow clinicians, organizational leaders, and scientists to analyze up-to-date data on individuals, units, and system-wide processes.
Write and maintain code to extract individual and organizational data derived from a multi-hospital electronic health record and integrate it with other sources of data including environmental, governmental, and credit report data.
Investigate data sources to understand all aspects of data generation and updating, including data structures and sources, normal data values, and reasons for anomalies. Maintain documentation of data extraction processes to ensure standardization and retention of core meaning of data.
Understand requirements for data, information, reporting, and analytic needs to ensure alignment, maximize efficiency, and minimize duplicative effort with a number of overlapping projects and teams.
Develop, manage, and ensure ongoing implementation of standards for the Center of Excellence data model and data flows. Partner in the development, management, establishment, and enforcement of technical standards both within the Critical Illness Center of Excellence and in collaboration across multiple other Precision Medicine programs.
Collaborate with mentors and learners to design and support the implementation of projects.
Develop detailed tasks and project plans by analyzing project scope and milestones for highly complex projects in order to deliver products in a timely fashion.
Identify areas for data quality improvement by participating in root cause analysis. Make recommendations to prevent and remediate data quality issues through the appropriate choice of architectures and practices.
Assist with troubleshooting and tuning of diverse projects as needed.
Regulatory & Best Practice Compliance
Deeply understand, educate other team members about, and ensure compliance with relevant human subjects and privacy regulations and best practices, emanating from both the federal level and Johns Hopkins, including the Institutional Review Board and Data Trust.
Codify team knowledge and practices into Standard Operating Procedures that can be shared to ensure reproducible science both across Johns Hopkins Precision Medicine programs and throughout the world.
Negotiate effective coordination with other teams within and external to Johns Hopkins
Implementation & Maintenance
Write elegant and transparent code to implement data flows and locked data sets to support specific and ongoing analyses.
Share code and support others sharing code in developing a fundamentally open and reproducible approach within the Center of Excellence and across Johns Hopkins Precision Medicine.
Monitor changes and resolve highly complex problems requiring the high level of technical expertise by responding as problems arise. Accomplish this by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully in order to satisfy the team's requirements and to provide a smooth transition to the new solution.
Recommend and advocate for data policies, governance structures and control frameworks for the ongoing management of data to ensure interpretation stability, convergence, synchronization, accuracy, completeness and reliability, both within the Center of Excellence and across Johns Hopkins Precision Medicine programs.
Data & Statistical Analysis
Partner with investigators to advise on research with primary responsibility for study design, sampling design, sample size, data management plan, data analysis plans, data processing and analysis, data security, and interpretation and presentation of study data.
Recommend appropriate statistical procedures, design, implement and manage complex research analysis using a variety of statistical procedures including but not limited to classification and regression trees and other classification methods, survival analysis, and longitudinal modeling.
Prepares analysis plans and writes detailed specifications for analysis files. Interpret analyses and writes statistical sections of study reports, utilize knowledge of statistics, machine learning, and quantitative analysis to conduct research studies and data analyses.
Prepare, present, and disseminate reports, manuscripts/publications/presentations, and other data materials. May contribute to writing manuscripts /publications. Produce tables and graphs in publication-quality form. Serves as a program reviewer and quality control checkpoint person for analyses (conducted by self or by others).
Strategy / Leadership
Embrace change, adapt to the unexpected, and focus energies, people, and solutions on practical and positive results.
Demonstrate strong written and oral communication skills to effectively lead change, and communicate with business, research, and IT staff.
Manage complex portfolio of multiple projects, with ability to make explicit and collaborative prioritization decisions.
Routinely interact with a multidisciplinary team including both learners, early, mid-, and senior career-faculty, within and outside of Johns Hopkins.
As the team grows, help in the recruitment and selection of new data analysts and biostatisticians, develop onboarding processes to nurture their growth and excellence, with Center of Excellence leaders, develop and implement a staged approach supervision, mentorship, and support.
Develop with other Centers of Excellence guiding principles, standards, and best practices consumed for the Precision Medicine program.
Collaborate with, and frequently lead, other technical experts, architects and subject matter experts to contribute technology elements with a focus on reliable data flows for evaluation and discovery.
Track a broad range of emerging technologies in data flows and analysis.
Special Knowledge, Skills, & Abilities
Strong analytical, interpersonal, and problem-solving skills
Ability to multi-task & support multiple priorities and multiple deliverables
Strong understanding of data collection practices, data cleaning principles, and statistical methodology
Excellent understanding of human subjects and data privacy concerns for health or other deeply personal data
Ability to communicate effectively and work collaboratively with disparate clients from clinicians through social scientists to technical developers
Understanding of IT concepts, development life cycles and best practices
Self-starter with the ability to appropriately prioritize and plan complex work for self or a team in a highly decentralized environment with minimal guidance
Demonstrated strong interest in developing new skills and methods
Ability to create quality assurance plans based on the analysis of design documents and requirements, create and execute test cases, log and assign defects and keep track of the defect status.
Bachelor's Degree required.
Five years of related work experience focused within database management and design and business requirement gathering.
Additional experience may be substituted for education.
Experience defining data architecture with special emphasis on interpretability, longitudinal analysis, and modularity.
Experience with SQL.
Experience with some modern statistical analytic environment.
Experience wrangling real, uncleaned data from health systems around clinical concepts.
Doctoral or Master's Degree in sociology, demography, economics, biostatistics, epidemiology, or related quantitative field.
Working in MS SQL Relational Databases.
Knowledge of data analysis languages such as R, STATA, and/or Python.
Cloud experience (Microsoft Azure preferred).
Familiarity with OMOP Common Data Model (CDM) and OHDSI tools, vocabulary resources and data stores for Observational Research.
Familiarity with Epic Clarity data / Medical domain knowledge in critical care medicine
Classified Title: Data Engineer Role/Level/Range: ATP/04/PG Starting Salary Range: $96,950 - $133,350 - $169,760 Annualy (Commensurate with experience) Employee group: Full Time Schedule: M-F, 37.5hrs Exempt Status: Exempt Location: School of Medicine Campus Department name: SOM DOM Pulmonary Personnel area: School of Medicine
Total Rewards The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/
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 eligible for employment and may be asked to provide additional information confirming their academic completion date.
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
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