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Manager, Research Data and Analytics

brownhealth1,507 open roles

Pay
$121,597 – $200,616 a year
Where
Brown University Health
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Your applicationOpen nowManager, Research Data and Analyticsbrownhealth · Brown University Health

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The clock on this job

Early applications get read.

14.0% of postings close within 7 days. Measured by our own scanner across the market. brownhealth postings stay open a median of 21 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted today

brownhealth median: 21 days open

The posting

SUMMARY:

Reporting to the Director, Data Architecture, the Manager, Research Data and Analytics leads the day-to-day operations of the research data and analytics team building Brown University Health's research data ecosystem: a secure cloud environment that integrates, curates, and validates clinical and research data, supports cohort identification, and provides governed, standardized access for investigators and external partners. This position is grant funded for five years, with the intent to transition to additional funding thereafter.

The Manager works alongside existing technical staff building out the broader data platform and directly manages the technical staff dedicated to this project. In this role, the Manager turns technical direction into delivered work: planning and tracking projects, reporting progress and reading out results to leadership and grant stakeholders, and serving as the team's primary connection to the research community.

This is a working-manager role. The Manager is expected to contribute hands-on every day as both a project/program manager and a technical resource, building, validating, and delivering the research data capabilities, including i2b2 and OMOP-based resources, that investigators use to find, access, and analyze clinical data.

Brown University Health employees are expected to successfully role model the organization’s values of Compassion, Accountability, Respect and Excellence, as these values guide our everyday actions with patients, customers and one another. In addition to our values, all employees are expected to demonstrate the core Success Factors which tell us how we work together and how we get things done. The core Success Factors include:

Instill Trust and Value Differences Patient and Community Focus and Collaborate

In addition, our leaders will demonstrate an aptitude for:

Ensure Accountability and Build Effective Teams Drive Vision and Purpose and Optimize Work Processes

By applying core and leadership competencies, leaders help Brown University Health achieve its strategic goals.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

The Manager, Research Data will be responsible for managing the research data team, delivery, reporting, and research community engagement, with a focus on turning ingested data into curated, governed, research-ready data products and services for Brown University Health's research data ecosystem. Responsibilities include:

  • Leads the day-to-day operations and delivery of Brown University Health's research data function, including the team, platforms, data products, services, and operating processes supporting clinical and translational research.
  • Supervise the grant-funded research data and analytics team, including data engineers, analysts, and applications analysts; assign and prioritize work, support hiring and onboarding, and coach and develop staff.
  • Own the integrated work plan for grant-funded research data deliverables, including scope, milestones, dependencies, risks, and issues, and run the team's intake and agile delivery cadence to balance day-to-day research requests with longer-term platform work.
  • Coordinate with Information Services, security, privacy, and research administration to keep work moving, and track effort and spend against the grant budget.
  • Prepare regular status reports, metrics, and readouts for the Director, Data Architecture, the Chief Data Analytics Officer, research leadership, and grant reporting, tracking measures such as request volume and turnaround time, researchers served, data assets delivered, platform adoption, and milestone status.
  • Build, test, and maintain research-specific data transformations and curated research data sets using SQL, Python, or similar tools on the enterprise cloud data platform, and review code and data products produced by the team for accuracy and quality.
  • Support the implementation and ongoing operation of i2b2 and OMOP, including transforming ingested source data into the common data model, running data-quality checks, building cohort definitions, and fulfilling research data requests and extracts.
  • Serve as the primary liaison between the research data team, the existing research facilitation group, and individual investigators to understand research needs, priorities, and pain points.
  • Work with the existing research services and support team to design and implement a research data support framework, including intake and triage, tiered service levels, consultation, documentation, training, and feedback mechanisms, to better serve the research community over time.
  • Incorporate data governance policies within the team's daily work, including verification of IRB approvals and data use agreements, minimum-necessary review, de-identified and limited data set delivery, access provisioning, and tracking needed to support accounting of disclosures.
  • Document and maintain end-to-end workflows from research request through data delivery, in partnership with privacy, compliance, and research administration.
  • Identify recurring research requests that can become reusable data products or self-service capabilities, and bring researcher needs and lessons learned back to the technical staff building the research data ecosystem to inform the roadmap.
  • Perform other duties as assigned.

EDUCATION:

Bachelor's degree in Computer Science, Biomedical or Health Informatics, Data Science, Epidemiology, Biostatistics, Public Health, or a related quantitative field required.

Master's degree or PhD in Biomedical Informatics, Epidemiology, Biostatistics, Public Health, Data Science, or a related field preferred.

Equivalent combinations of education and relevant professional experience may be considered in accordance with Brown University Health requirements.

EXPERIENCE:

A minimum of 5 years of progressively responsible experience in data engineering, analytics, research data management, or clinical/health informatics, including at least 3 years in a healthcare, academic medical center, or biomedical research environment and at least 2 years leading technical teams or managing data or analytics projects.

Required Qualifications

  • Hands-on proficiency in SQL and Python (or R) for building, validating, and delivering data sets.
  • Experience working with electronic health record data for research or analytics.
  • Demonstrated experience managing multi-stakeholder projects, including planning, tracking, and reporting progress to senior leaders.
  • Working knowledge of research data and research data frameworks, including common data models, cohort discovery, FAIR data principles, and how clinical data is used in observational and retrospective research.
  • Ability to lead a small team while remaining a hands-on contributor.
  • Excellent communication skills, with the ability to translate between researchers and technical teams and produce clear status reports and readouts for executive audiences.

Preferred Qualifications

  • Hands-on experience with i2b2 or the OMOP Common Data Model (experience with one is valued; training on the other is available), including ETL, vocabulary mapping, or OHDSI tools such as ATLAS, Achilles, and the Data Quality Dashboard.
  • Experience as a researcher, research analyst, or research data manager on funded studies.
  • Familiarity with clinical and research vocabularies (CPT, LOINC, RxNorm, ICD-10, etc).
  • Understanding of research data governance, including IRB processes, data use agreements, HIPAA de-identification, and limited data sets.
  • Experience with Epic Clarity or Caboodle.
  • Experience with modern cloud data platforms.
  • Experience with project management tools and methods (for example, Agile, Jira, Azure DevOps, or Smartsheet), or supporting grant milestone reporting.

This position is grant funded for five years, with the intent to transition to additional funding thereafter.

SUPERVISORY RESPONSIBILITY:

Supervises the grant-funded research data team of 3-5 staff, including data engineers, analysts, and applications analysts.

Pay Range:

$121,596.80-$200,616.00

EEO Statement:

Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.

Location:

Corporate Headquarters - 15 LaSalle Square Providence, Rhode Island 02903

Work Type:

M-F 8:30am-5:00pm

Work Shift:

Day

Daily Hours:

8 hours

Driving Required:

No

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