This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Performance Data Operations - REMOTE. In this critical role, you will be the driving force behind performance improvement initiatives focused on population health. Your work will influence health equity, quality improvement, and cost-effectiveness for high-risk populations. As the analytical lead, you will take charge of complex datasets and analytics, bridging data with organizational strategy. Your leadership will foster collaboration across various teams, ensuring that population health measures are integrated into operations, and that executives understand actionable insights derived from data analysis. - Execute the Population Health Impact Performance Improvement Vision & Roadmap by building and maintaining complex datasets. - Lead end-to-end program management for Population Health Impact initiatives, overseeing all phases from scoping to execution. - Transform complex findings into clear, actionable insights for executives, field teams, and partners. - Establish strong, trust-based relationships across functions to align on priorities and timelines for improvement initiatives. - Drive performance improvement cycles using advanced analytics and effective project management. Qualifications - Bachelor’s degree in Business Analytics, Data Science, Public Health, or a related field. - Expert-level proficiency in Tableau and SQL, with a proven ability to build and analyze scalable datasets. - 8+ years of relevant experience in population health or healthcare analytics. - Ability to conduct in-depth data analyses, including segmentation and cohort analysis. - Strong communication skills for presenting complex data to diverse audiences. Requirements - Bachelor’s degree in Business Analytics, Data Science, Public Health, or a related field. - Expert-level proficiency in Tableau and SQL, with a proven ability to build and analyze scalable datasets. - 8+ years of relevant experience in population health or healthcare analytics. - Ability to conduct in-depth data analyses, including segmentation and cohort analysis. - Strong communication skills for presenting complex data to diverse audiences. Benefits - Flexible work schedules with the option to work remotely. - Health, dental and vision insurance covered up to 80% for employees and dependents. - 21 days of PTO in the first year plus two paid volunteer days. - 12 weeks paid parental leave for new parents. - Six weeks paid sabbatical after six years of service. - Educational assistance and reimbursement programs available. - 401(k) plan with up to 4% company match. - Stock options and various additional perks.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Performance Data Operations - REMOTE. In this critical role, you will be the driving force behind performance improvement initiatives focused on population health. Your work will influence health equity, quality improvement, and cost-effectiveness for high-risk populations. As the analytical lead, you will take charge of complex datasets and analytics, bridging data with organizational strategy. Your leadership will foster collaboration across various teams, ensuring that population health measures are integrated into operations, and that executives understand actionable insights derived from data analysis. Accountabilities - Execute the Population Health Impact Performance Improvement Vision & Roadmap by building and maintaining complex datasets. - Lead end-to-end program management for Population Health Impact initiatives, overseeing all phases from scoping to execution. - Transform complex findings into clear, actionable insights for executives, field teams, and partners. - Establish strong, trust-based relationships across functions to align on priorities and timelines for improvement initiatives. - Drive performance improvement cycles using advanced analytics and effective project management. Qualifications - Bachelor’s degree in Business Analytics, Data Science, Public Health, or a related field. - Expert-level proficiency in Tableau and SQL, with a proven ability to build and analyze scalable datasets. - 8+ years of relevant experience in population health or healthcare analytics. - Ability to conduct in-depth data analyses, including segmentation and cohort analysis. - Strong communication skills for presenting complex data to diverse audiences. Requirements - Bachelor’s degree in Business Analytics, Data Science, Public Health, or a related field. - Expert-level proficiency in Tableau and SQL, with a proven ability to build and analyze scalable datasets. - 8+ years of relevant experience in population health or healthcare analytics. - Ability to conduct in-depth data analyses, including segmentation and cohort analysis. - Strong communication skills for presenting complex data to diverse audiences. Benefits - Flexible work schedules with the option to work remotely. - Health, dental and vision insurance covered up to 80% for employees and dependents. - 21 days of PTO in the first year plus two paid volunteer days. - 12 weeks paid parental leave for new parents. - Six weeks paid sabbatical after six years of service. - Educational assistance and reimbursement programs available. - 401(k) plan with up to 4% company match. - Stock options and various additional perks.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous statistics problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for statisticians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Statistics or related fields, e.g. Probability Theory, Mathematical Statistics, Applied Statistics, etc. - 3+ years of professional mathematics experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.