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Hill Physicians Medical Group · 12 hours ago

Manager, Population Health Analysis - 26-06

San Ramon, CA

Full-time

Onsite

Senior Level

$134K/yr - $179K/yr

5+ years exp

Hill Physicians Medical Group is shaping the healthcare of the future with actively managed care that focuses on disease prevention and support for chronic conditions. They are seeking a Data Science Manager to lead analytical efforts in clinical operations and population health, ensuring data-driven decision-making and impactful results across the organization.

Health CareMedicalProfessional Services

Responsibilities

Collaborate in creation of a high-spirited working environment that fosters learning, collaboration, respect, and positive morale

Participate in development and implementation of departmental goals and initiatives

Prioritize projects, allocate staff to ensure balanced workloads, monitor progress, communicate updates, and adapt as needed, consistent with departmental and organizational goals

Participate in recruitment, selection, on-boarding, training, and professional growth of staff, serving as role model and mentor to promote professionalism

Define performance expectations and hold subordinates accountable; ensure adherence to organizational policies; conduct performance assessments to facilitate achievement of individual and organizational goals

Participate in preparation and monitoring of the departmental budget

Provide analytical support for strategic management efforts and initiatives that may impact the clinical quality and financial performance of the physician network

Guide staff in appropriate analytical study design and identification of decision alternatives through the proper framing of customers’ questions, compilation and cleaning of data, model building, validation, and interpretation of results, all consistent with professional standards

Design analytic plans and lead evaluations of clinical impact and ROI of quality improvement and utilization interventions

Lead development, validation, and maintenance of internally-built or vendor provided machine learning algorithms with quality control checks to improve upon care delivery programs

Create complex models utilizing large databases for analysis and forecasting and synthesize results in support of organizational decision-making

Work with advanced graphic tools, including dashboards and other visual displays, to provide clear and insightful views of organizational performance

Participate in efforts to establish and maintain equitable and fiscally responsible provider compensation strategies that are aligned with organizational goals

Provide consultation to internal stakeholders in understanding and responding to HPMG performance as measured by external bodies, e.g., health plans and the Integrated Healthcare Association, as well as variations in internal clinical and financial metrics

Maintain expertise in clinical and financial performance metrics; stay abreast of industry trends and share best practices within and beyond the department

Identify tools or processes that improve team efficiency and effectiveness, and oversee their integration into workflows

Collaborate with cross-functional teams in developing and deploying reporting tools to meet the broad spectrum of analytical needs across our delivery system

Promote and implement improvements to workflow procedures and/or system configuration modifications

Facilitate integration of population health analytics into medical management and quality improvement programs; optimize recurring reporting processes to inform existing and emerging care delivery systems; develop processes and reports that can be turned over to end-users’ control whenever possible

Teach internal and external stakeholders about appropriate use of standardized reports, analytical approaches to population management and business problems, and program evaluation

Participate in and improve the organization’s quality assurance procedures

Provide analytical support and expertise to multiple committees and workgroups of Hill Physicians and partner organizations working to understand their needs and translate them into actionable data science solutions

Qualification

Healthcare analyticsAnalytical model creationMachine learning techniquesProject managementSQL proficiencyData visualization toolsStatistical analysisInterpersonal communicationTeam collaborationProblem-solving

Required

Master's degree in healthcare, informatics, statistics, public health, or related field with coursework in quantitative analysis or 3 years professional analytics-related experience

A minimum of 3-5 years managerial experience and 5 years of experience in healthcare analytics

Experience in managing projects, developing recommendations with appropriate levels of supporting analysis, and participating in senior leadership discussions

Ability to identify key business issues and contribute to strategic and tactical plans

Demonstrated ability to facilitate consensus across functional, departmental and organizational boundaries, to relate to diverse communities, to integrate diverse perspectives, and to promote a positive workplace culture

Working knowledge of contractual, administrative, and operational issues related to managed care organizations and physician groups

Proficiency in the creation of complex analytical models, trend analysis, report design and development

Demonstrated ability to work independently and to function as an integral part of a team in a rapidly changing work environment, frequently operating without direct supervision

Demonstrated ability to exercise good judgment, prioritize multiple projects and problem-solve under tight deadlines and resource constraints

Excellent written and interpersonal communication skills and presentation skills, including ability to present complex technical concepts in a clear, concise manner to audiences with varying levels of technical understanding

Proficiency in analyzing a wide array of data types and sources (medical and pharmacy claims, clinical process and outcome data, risk scoring tools, social determinants of health)

Proficiency in querying languages such as SQL to write and execute complex queries

Experience with advanced analytic programs/languages such as SAS or R

Experience with advanced data visualization tools and techniques such as Tableau, PowerBI or GIS software (ArcGIS)

Knowledge of various study design and implementation strategies

Knowledge of EPIC electronic health records data structures

Experience with machine learning techniques