Healthcare Data Analyst & Research Assistant

La Mesa Rehab La Mesa, CA

Company

La Mesa Rehab

Location

La Mesa, CA

Type

Full Time

Job Description

Job Title:Healthcare Data Analyst & Research Assistant Clinic:La Mesa Rehab Location:8380 Center Drive, Suite E, La Mesa, CA 91942 Compensation:$18.00/hour Schedule:Part-time, 10 hours per week Duration:4–6 weeks, with potential for extension based on project needs About Us La Mesa Rehab is a leading outpatient rehabilitation and respiratory therapy clinic focused on improving patient outcomes through evidence-based, patient-centered care. We specialize in serving individuals with chronic respiratory conditions, with a mission to reduce hospital readmissions, enhance functional mobility, and improve overall quality of life. Position Summary We are seeking aHealthcare Data Analyst & Research Assistantto join our clinical outcomes team. This role involves working directly with patient data to assess the effectiveness of our respiratory therapy program. Ideal candidates will have strong analytical skills, attention to detail, and a passion for improving healthcare quality through data-driven research. Key Responsibilities • Extract, organize, and analyze patient data from our electronic health record (EHR) system. • Calculate and track key clinical performance indicators, including: • Hospital admission and readmission rates • Pulmonary function metrics (e.g., FEV1) • Functional mobility outcomes (e.g., 6-Minute Walk Test results) • Create clear, visually compelling reports, graphs, and dashboards to communicate outcomes. • Collaborate with clinical and administrative staff to ensure data accuracy and compliance with HIPAA regulations. • Present data insights and recommendations to the clinic’s leadership team to inform program development and quality improvement initiatives. Qualifications • Bachelor’s degree or current enrollment in a program related to Public Health, Healthcare Administration, Health Informatics, Data Analytics, or a related medical or analytical field. • Proficiency in Microsoft Excel; familiarity with additional tools such as R, SPSS, Tableau, or Power BI is preferred. • Strong analytical and problem-solving skills with a keen eye for detail. • Understanding of patient confidentiality and data security standards. • Excellent written and verbal communication skills. • Demonstrated interest in clinical research, healthcare analytics, or outcomes evaluation. What We Offer • Flexible schedule to accommodate academic or other commitments • Hands-on experience working with real-world healthcare data • Direct mentorship from experienced clinicians and healthcare administrators • Opportunity to contribute to meaningful research that directly improves patient care How to Apply To apply, please email your resume and a brief statement of interest [email protected] the subject line:“Healthcare Data Analyst & Research Assistant Application.” Job Type: Part-time Pay: $18.00 per hour Expected hours: 10 per week Benefits: • Employee discount • Flexible schedule Schedule: • 4 hour shift Work Location: Hybrid remote in La Mesa, CA 91942
Apply Now

Date Posted

07/03/2025

Views

0

Back to Job Listings ❤️Add To Job List Company Info View Company Reviews
Neutral
Subjectivity Score: 0

Similar Jobs

Visitor Services Assistant (Seasonal) - Department of the Interior - National Park Service

Views in the last 30 days - 0

View Details

MWR Custodial Worker - Department of the Navy - Commander, Navy Installations

Views in the last 30 days - 0

View Details

MWR Recreation Assistant-Golf - Department of the Navy - Commander, Navy Installations

Views in the last 30 days - 0

View Details

FFSP Office Automation Assistant - Department of the Navy - Commander, Navy Installations

Views in the last 30 days - 0

View Details

MWR Recreation Assistant (Community Recreation) - Department of the Navy - Commander, Navy Installations

Views in the last 30 days - 0

View Details

MWR Recreation Assistant (Liberty) - Department of the Navy - Commander, Navy Installations

Views in the last 30 days - 0

View Details