Summary

The Senior Lab Analytics Specialist instructs, directs, and checks the work of others involved in analytics team concerning laboratory utilization. This laboratory and analytical professional works cooperatively with medical, scientific leaders, and service directors to adapt and evolve analytics service.

Responsibilities :

Laboratory Utilization Analysis

• Develop, lead, and deliver utilization assessments for hospital and provider organization laboratories

• Meet client needs in evaluating reference lab test utilization and client's internal lab test utilization

• Perform and create analysis work

• Coordinates with sales team to present findings to clients

• Support questions from clients and sales team

Public Health Report Development

• Supports data and analysis work for public health initiatives

Custom Analytics Report Development

• Supports HHS and VBC sales organization and divisional leadership in defining and building analytics reports that support distinct needs of large health system client

• Works with HHS leadership to vet and prioritize projects

Insight Analytics Report Testing and Reviews

• Supports new client-facing report validation reviews and logic

• Leads Insight Analytics report reviews with scientific and medical team

• Drives legal reviews and approvals (report content, authorization letters, etc.)

• Services as demands dictate.

Requirements

License/Certification/Education : B.S. Degree in science, with degree in Medical Lab Science preferred. ASCP certification (MLS) past or present, a plus.

Knowledge / Skills / Experience:

• Multiple years of Clinical Laboratory experience in a Hospital/Health System

• Experience performing and leading Laboratory Utilization Analyses

• Experience interacting with Clinical and Administrative Health System Leaders

• Familiarity with best practices in laboratory utilization preferred

• Experience with developing product service offerings, preferred

• Strong interest and background in clinical data analysis required

• Familiarity with data analysis and visualization tools, such as Tableau; Alteryx, R (Linear Regression); Python, preferred

• Strong Microsoft Office skills (primarily Excel, PowerPoint, Word)

• Skilled at managing multiple hard deadlines at once with a keen sense of prioritization

Shift

1

Schedule

Mon-Fri, 8 am -5 pm

As an EOE/AA employer, the organization will not discriminate in its employment practices due to an applicant's race, color, religion, sex, national origin, sexual orientation, gender identity, disability or veteran status.