| Clinical Medical Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1138657&uid= From: Utsav (IT Resource Manager), ChabezTech [email protected] Reply to: [email protected] **Job Description: Senior Data Scientist (Population Health & Patient Experience)** **Department:** Health Analytics **Location:** NC Can Be Remote **Responsibilities:** 1. **Risk Stratification Models:** - Develop and validate risk stratification models to identify patient populations at high risk for chronic disease complications, hospital readmissions, and adverse events. - Utilize diverse data sources including Electronic Health Records (EHRs), claims data, and socioeconomic data. 2. **Population Health Interventions:** - Collaborate with population health teams to leverage predictive models for guiding targeted interventions, optimizing resource allocation, and conducting outreach to vulnerable populations. 3. **Social Determinants of Health:** - Analyze the impact of social and environmental factors (e.g., housing, food insecurity, income level) on healthcare outcomes. - Contribute to initiatives aimed at addressing disparities in access and quality of care. 4. **Statistical Methodology:** - Stay current on advanced statistical methods, including longitudinal data analysis, causal inference, and Bayesian modeling. - Enhance the reliability and predictive power of analytical models through the application of cutting-edge statistical techniques. 5. **Program Evaluation:** - Develop analytics frameworks to assess the effectiveness of population health programs and care management initiatives. - Evaluate outcomes, costs, and patient engagement to inform continuous improvement. 6. **Patient Experience Analytics:** - Analyze patient feedback data (surveys, comments, etc.) to identify key drivers of patient satisfaction and areas for improvement. - Develop predictive models to assess the risk of negative patient experiences and flag potential intervention points. 7. **Process Optimization:** - Examine healthcare workflows and operational data to uncover bottlenecks, inefficiencies, and variability in care delivery that impact patient outcomes and experiences. - Utilize machine learning techniques to recommend process improvements. 8. **Clinical Quality Metrics:** - Collaborate with clinical teams to design and track key quality-of-care metrics on dashboards and reports. - Analyze trends to identify areas for targeted improvement and monitor the impact of interventions. 9. **Natural Language Processing Applications:** - Explore using NLP techniques to derive insights from unstructured text data within clinical notes, patient surveys, and social media sentiment to assess patient sentiment. 10. **Data-Driven Storytelling:** - Effectively communicate complex findings to clinicians, administrators, and patient experience leaders through compelling visualizations and presentations. - Support data-driven decision-making through clear communication. **Requirements:** 1. **Education:** - Ph.D. in statistics, biostatistics, epidemiology, data science, or a related quantitative field with a significant focus on health applications (for Senior Data Scientist role). - Master's degree in data science, health informatics, statistics, operations research, or a related field (for Data Scientist role). 2. **Experience:** - 5+ years of experience designing and implementing predictive analytics solutions in healthcare, preferably with a population health focus (for Senior Data Scientist role). - 3+ years of experience applying data science to healthcare problems, ideally with a focus on quality improvement or patient experience (for Data Scientist role). 3. **Expertise:** - Deep expertise in machine learning, statistical modeling, and handling large-scale healthcare data (for Senior Data Scientist role). - Strong proficiency in Python, R, and SQL. Experience with visualization tools (e.g., Tableau, Power BI) and statistical analysis packages (for Data Scientist role). 4. **Programming Skills:** - Strong programming skills in Python and/or R for both roles. 5. **Knowledge:** - Familiarity with population health management concepts and value-based care models (for Senior Data Scientist role). - Passion for applying data-driven insights to improve patient care and the overall healthcare experience (for both roles). 6. **Communication Skills:** - Excellent communication skills to effectively translate complex analysis for a diverse range of stakeholders (for both roles). Thanks & Regards Utsav Manager ChabezTech LLC 4 Lemoyne Dr #102, Lemoyne, PA 17043, USA Email: [email protected] | www.chabeztech.com Keywords: business intelligence rlang information technology North Carolina Pennsylvania http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1138657&uid= |
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| 01:24 AM 21-Feb-24 |