You’re more valuable than ever – And that’s just how we’ll make you feel. Job Summary The HIM Data Integrity Specialist maintains the master patient index (MPI) which is a critical business function and patient safety resource; it links a patient to demographics, clinical and financial information. The MPI must contain accurate, timely, and complete data that includes a single identifier for each patient registered. The HIM Data Integrity Specialist will be responsible for reviewing, analyzing, and maintaining patient data integrity within the MPI for the EHR system. This includes remediation of duplicate medical record numbers, medical record overlays and assisting with correction of any clinical and demographic information. Qualifications Education Required: - High School Diploma or equivalent Licenses/Certifications Required: - None Work Experience Required: - 2+ years of experience in HIM Data Integrity. - Experience working with Epic with an emphasis on resolving duplicate medical record numbers, resolving overlays, and chart corrections. Preferred Qualifications, Education, Licenses, Certifications, Experience, etc.: - Associate or Bachelor’s degree in HIM or equivalent experience. - RHIT/RHIA certification. - Knowledge, Skills, and Abilities - Ability to analyze complex information and use critical thinking skills to determine appropriate solutions and necessary merges to protect the integrity of the EMPI. - Excellent verbal and communication skills and strong customer service skills. - Ability to be flexible, adapt well to change, and able to work as part of a team as well as independently with minimal supervision. - Ability to understand work environment and competing priorities in conjunction with developing and meeting established performance and KPI goals. - Ability to be flexible, versatile, adaptable and facilitate work in a complex, face-paced, multisite healthcare environment. - This role involves interaction and collaboration with other departments and requires excellent judgment and interpersonal skills. - Essential Duties and Responsibilities - Performs medical record number merges, patient data corrections, and medical record overlay corrections in accordance with the Company’s policies and procedures. - Processes requests for chart corrections and prioritizes all requests around patient care and safety. - Works from reports and queues to resolve all issues in a timely and accurate manner. - Proactively and independently solves problems and operates with a high level of accuracy by investigating complex patient identity discrepancies, analyzing multiple data points across Epic, eCW, and other EMR systems, and independently determining the appropriate corrective action (e.g., duplicate MRN merges, overlay resolution, demographic corrections) while adhering to established HIM policies and patient safety standards. - Exhibits excellence in communication, feedback, precision, and follow by clearly documenting findings and actions taken, coordinating corrections with clinical, revenue cycle, IT, and external partners, and ensuring all downstream systems are notified and updated. Maintains meticulous attention to detail due to the high level of patient safety, privacy, and financial risk associated with inaccurate patient data and the transfer of protected health information (PHI). - Ensure all parties involved in making corrections in any disparate systems are promptly notified and follow through to ensure all corrections are executed in a timely manner. - Analyzes and identifies root cause of data discrepancies in the Master Patient Index and brings all issues to the HIM Manager immediately. - Acts as key point of contact for all HIM data integrity related issues for the Company’s joint venture partners as well as other Company departments. - May perform infrequent medical record release duties as required and participate in process improvement initiative - GoHealth Core Values GoHealth’s Core Values, listed below, are essential functions of this position: - Collaboration: Takes ownership for collectively establishing productive partnerships and relationships and seek to gain joint understanding of priorities and objectives so that the greater good of the organization and those we serve is always at the forefront. - Innovation: Consistently uses good judgment, applying creativity to overcome obstacles and increasing effectiveness and efficiency through process and other forms of innovation. - Diversity & Inclusion: Fosters diversity and inclusion, to be able to better understand team members, our customers and partners. Engages the strengths and talents of each GoHealth team member, creating an environment of involvement, respect and connection where the richness of ideas, backgrounds and perspectives are harnessed. - Courage & Integrity: Models and practices the highest ethical and professional standards; demonstrates pride and personal interest in our patients, partners and fellow team members, deeply engaging in the business. Makes decisions, with a focus on doing the right thing; treats team members, our customers, partners and vendors with dignity, consideration, open-mindedness and respect. - Accountability: Always shows initiative, demonstrates a bias to action and gets things done. Actively accepts responsibility for diverse roles, obligations and actions that positively Set up email alerts as new job postings become available that meet your interest! All qualified persons are granted an equal opportunity for employment without regard to race, color, religion, sex, sexual orientation and gender identity or expression, age, national origin, citizenship status, disability, genetic information, medical condition, family care leave status, pregnancy or pregnancy-related condition, otherwise qualified disabled or veteran status. The company will comply with all fair employment laws in each of the jurisdictions where we conduct business. For applicants in California, please review our California Consumer Privacy Statement here. https://www.gohealthuc.com/privacy-policy

Summary: The Data Processing associate is responsible for reviewing auto approved forms for one of the Auto Body Repair companies operating across the US. You will be comparing invoices and vetting the accuracy of the forms.  You will be working with the US team daily to fulfill tasks that is needed to be done. What’s in it for you? -Health Insurance (HMO) -Competitive Salary -Expanded maternity leave up to 120 days -Allowances -Paid Time offs (Vacation Leaves Are Convertible to cash if unused) -Companywide events-Fun & Relaxed environment Job Details: Data Processing Associate Eastwood Libis, QC (Work from home until further notice) Monday to Friday | 9 PM to 6 AM PHT Responsibilities: • Review documents in system • Validate documents for accuracy • Coordinate with the US Team for tasks and clarifications. • Comply with applicable legal requirements, standards, policies, and procedures. • Ad hoc tasks Qualifications: • At least 2 years’ experience in a similar role (Data Processing, Data Entry, accounting) • Keen attention to detail • Good Communication skills • Ability to pick things up quick • Experience in the Automotive repair industry or a similar industry (NICE TO HAVE) • Experience processing invoices (NICE TO HAVE)

• Design and build scalable, production-grade data pipelines and data models to power downstream analytics and enterprise reporting • Lead the migration from a Redshift/DBT warehouse architecture to a modern lakehouse architecture (e.g., S3, Glue, Databricks, Unity Catalog) • Implement and enforce data validation standards, QA standards, and effective data lifecycle management • Optimize pipeline performance, cost, and data quality in a large-scale cloud data environment • Ensure compliance with data security and privacy regulations (e.g., GDPR, CCPA, GLBA) through robust pipeline design, access controls, and monitoring • Collaborate cross-functionally with App Engineering, BI, and business teams to translate ambiguous requirements into scalable, well-modeled datasets • Mentor data engineers and promote best practices in software engineering, documentation, and distributed data processing • Leverage AI-assisted development tools where appropriate to improve engineering efficiency, code quality, and observability

AIR’s Employment & Economic Opportunity Program is seeking a Education and Workforce Data Strategist to integrate applied research, data science, and capacity-building for public sector change management. The position will work with internal teams and external partners to support the effective use of education and workforce administrative data for decision-making, continuous improvement, and policy development within and across states. The ideal candidate brings experience working with complex datasets and is equally comfortable conducting analyses and guiding others in how to interpret and use data in applied settings. This position has the flexibility to work remotely within the United States (U.S.) (not including U.S. territories) or from one of AIR’s U.S. office locations but requires availability to participate in meetings across all continental U.S. time zones. About AIR: Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all. Responsibilities: - Conduct quantitative analyses using administrative and survey data to support research, evaluation, and technical assistance efforts. - Contribute to the design of analytic approaches, including descriptive, longitudinal, and quasi-experimental methods. - Provide coaching and technical assistance to state and local clients and partners on the use of data for decision making. - Support clients in refining research questions, interpreting findings, and applying results to practice. - Design and facilitate workshops, trainings, or office hours to strengthen data use capacity among government and community-based organizations. - Prepare, clean, validate, and document complex administrative datasets. - Support data integration and linkage efforts across education and workforce systems within and across states. - Translate analytic findings into clear, actionable insights for non-technical audiences. - Contribute to written deliverables, including reports, briefs, presentations, and data visualizations. - Work collaboratively with multidisciplinary teams, including researchers, data scientists, and project staff. - Support multiple projects simultaneously, contributing to deliverables and timelines. - Apply and model best practices in reproducible research, including code documentation and version control. - Ensure data quality and integrity across all phases of analytic work. Qualifications: Education, Knowledge, and Experience - PhD in related subject area (Economics, Statistics, Public Policy, Public Health, Human Development, Political Science, Psychology, Sociology, or related fields), or a Master’s degree with a minimum of 4 years of relevant applied research experience. - Experience working on research or evaluation projects for federal, state, or local agencies or other public or nonprofit entities. - Demonstrated experience with research design, data analysis, and reporting. - Experience with data collection activities from the field using a variety of methodologies and data collection techniques such as interviews, focus groups, observations, and/or survey research. - Familiarity with federal contracting and compliance standards is preferred, but not required. Skills - Demonstrated ability to conduct quantitative analyses and support others in analytic thinking and data use. - Proficiency in one or more statistical/programming languages (e.g., R, Python). - Experience working with administrative or operational datasets, including data cleaning, validation, and documentation and experience linking or integrating datasets across systems or agencies. - Experience using AI tools to synthesize information, draft content, analyze data, or improve efficiency in day-to-day work and ability to apply sound judgment when interpreting AI-generated outputs. - Demonstrated ability to integrate emerging and nontraditional data sources and clear understanding of the methodological limitations and analytic opportunities associated with high-frequency data. - Strong understanding of research design and analytic methods (e.g., descriptive analysis, longitudinal analysis, or causal inference approaches). - Ability to communicate complex technical information clearly to non-technical audiences. - Experience working collaboratively in team-based environments and managing multiple tasks. - Experience training, mentoring, or coaching others in data use, analysis, or interpretation. - Familiarity with data systems and infrastructure, including SQL, databases, or cloud-based environments. - Knowledge of privacy, confidentiality, and restricted-use data environments. - Experience with data visualization tools (e.g., Tableau, Power BI, Shiny). - Background in policy-relevant domains of education and workforce. Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements. American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000. Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams. #LI-MP1 #LI-Remote AIR’s Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States. Anticipated Annual Salary Range $92,700—$123,600 USD