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Columbia University, New York, NY, USA

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"Analytics Developer"

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Analytics Developer

Position Summary

The Department of Biomedical Informatics (DBMI) at Columbia University is seeking an Analytics Developer who will work under the direction of the Vice Chair of Services, Department of Biomedical Informatics (DBMI). The Analytics Developer will serve as the Clinical Data Navigator (CDN) for DBMI and other departments (as necessary) and will be active in investigating the analytic and research data needs of the DBMI. This position will require the candidate to design, create, and maintain data structures, reports, dashboards, and related data extracts from various institutional data sources such as Epic and CUIMC’s legacy electronic health records. In addition to development work, this position requires the candidate to work with end-users to understand analytic and research data needs and both scope and document technical specifications for requests.

Hybrid Schedule: Subject to business needs, we may support flexible and hybrid work arrangements. Options will be discussed during the interview process.

Responsibilities

  • Database Development: Proficiently uses MS SQL Server for queries and designing tables. (40%)
  • Business Analysis: Works with end-users to understand analytic needs, provide guidance on optimal existing and potential solutions, and translate the operational definitions into application-based, technical specifications. (30%)
  • Task Management: Manages multiple tasks, simultaneously keeping clients and team members updated on progress. (10%)
  • Maintains Standards: Maintains knowledge of internal and industry-wide policies, standards, and best practices, including HIPAA, IRB, and data governance policies and procedures to ensure all deliverables meet those standards. (5%)
  • Continuous Improvement: Seeks out additional training to improve skills in the team’s technologies and new technologies, and to improve soft skills for better client and team relations. (5%)
  • Technical Documentation: Contributes to the development of institutional data dictionaries to streamline future reporting needs. (5%)
  • Other Duties: Other duties as assigned. (5%)

Minimum Qualifications

Bachelor’s degree in computer science, analytics, information systems, statistics, plus three years of related experience.

Preferred Qualifications

  • A master's degree in a technical discipline may substitute for some years of experience.
  • Proficiency in MS SQL, including relational database design and the use of T-SQL, subqueries, and window functions.
  • Certification in Epic’s Clinical Data Model (or certification within six months of employment).
  • One year of report development experience utilizing Epic’s database data structures.

Other Requirements

  • Excellent decision making, critical thinking, and problem-solving skills.
  • Strong organizational and technical documentation skills with an emphasis on communication, detail, and follow-up.
  • Experience with clinical data terminology and workflows.
  • Experience with Power BI and/or other popular BI tools.
  • Experience with common clinical data coding standards (ICD, CPT, LOINC, RxNorm, etc.) and workflows.
  • Must be team oriented and possess strong customer service skills.
  • Must be proficient in SQL coding, the use of institutional business intelligence tools, related data models, and best practices for data warehousing.
  • Candidate will be required to provide status updates, set user expectations, and generally demonstrate the ability to explain technical solutions to others.

Salary and Location

Salary Range: $85,000.00 - $100,000.00

Location: New York, New York

Type: Full-time

Job Type: Officer of Administration

Hours Per Week: 35

Standard Work Schedule: Monday - Friday

*The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.*

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