Role Description We are seeking technically strong, analytically curious individuals to join us for a 12-week summer internship within our Human Resources department. The intern will help modernize and automate our HR data infrastructure. This is not a traditional HR internship. The selected candidate will work directly with the SVP of Human Resources to build the foundational analytics and reporting systems that support executive decision-making, workforce planning, and organizational strategy. The primary focus of this internship is to transform raw HR and recruiting data into clean, structured datasets and executive-ready dashboards using modern analytics and AI tools. This internship is designed to build esVolta’s first fully integrated, executive-ready HR analytics infrastructure. By the end of the internship, the selected candidate will have: - Built an automated data ingestion process from Insperity (PEO) and JazzHR (ATS) - Developed a structured HR master dataset - Designed and launched an executive-ready Workforce Intelligence Dashboard - Created documentation to support ongoing automation and scalability Qualifications - Currently pursuing a degree in Data Science, Business Analytics, Management Information Systems, Computer Science, Statistics, or a related technical field - Strong Excel skills (pivot tables, formulas, data cleaning) - Experience working with structured datasets - Experience with Power BI, Tableau, Looker Studio, or similar visualization tools preferred - Familiarity with SQL and/or Python preferred - Experience working with APIs or automated workflows is a plus - Comfortable experimenting with AI tools for workflow automation - Strong analytical and problem-solving skills - High level of discretion when handling confidential data - Self-directed, proactive, and execution oriented - Prior HR experience is not required Requirements - Audit available workforce and recruiting data within Insperity and JazzHR - Design repeatable export or API-based data ingestion processes - Automate recurring HR reporting workflows - Reduce manual spreadsheet-based reporting - Clean and normalize workforce and recruiting datasets - Create standardized data models for consistent reporting - Define KPI calculations and metric logic - Build a structured HR data framework for future scalability - Build a Workforce Intelligence Dashboard using Power BI, Tableau, Looker Studio, or similar tools - Develop clear, executive-level visualizations covering: - Headcount and growth trends - Attrition and new hire turnover - Time-to-fill and recruiting funnel metrics - Open requisition aging - Workforce distribution and compensation trends - Implement clear red/yellow/green indicators for operational visibility - Explore AI tools to assist with data transformation, automation, and summarization - Recommend opportunities to streamline reporting using generative AI - Identify opportunities for predictive or trend-based workforce insights - Translate workforce data into actionable insights - Identify trends, risks, and opportunities - Present findings and final deliverable to HR leadership Benefits - The hourly rate for this position is $30.00 per hour - 40-hour work week - Flexible; option to work-from-home with periodic office visits for in-person engagement or to work from company offices in Newport Beach - Willingness to be remotely based and ability to travel to company offices and project sites - Paid Sick Days as required by law: one hour per 30 hours worked, up to 5 days maximum - July 4th Paid Holiday - Medical, dental and vision care benefits - 401k program offering a 100% company match on employee contributions up to 6.0% of salary on a per paycheck basis

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Provider Data Analyst - REMOTE. In this critical role, you will support the governance, quality, and operational effectiveness of provider data across the health plan ecosystem. Your work will focus on analyzing provider data trends and identifying systemic issues as well as improving processes for provider onboarding, credentialing, claims adjudication, and provider directory accuracy. Collaborating closely with various operational teams, you will ensure data flows are precise and integrated, ultimately contributing to enhanced decision-making and operational integrity in the field of healthcare data management. - Monitor provider data quality across operational systems and identify systemic data issues affecting claims payment. - Develop and maintain data validation rules and quality checks to ensure provider data integrity. - Analyze provider data discrepancies and lead root cause investigations. - Analyze trends in provider data errors, claims rejections, and onboarding issues. - Identify recurring operational problems and recommend process improvements. - Develop dashboards and reports that provide visibility into provider data performance. - Evaluate how provider data flows between systems including credentialing and claims processing. - Identify data gaps and inconsistencies across systems and external partners. - Support system enhancements related to provider data integration. - Identify opportunities to streamline provider data intake and distribution processes. Qualifications - Bachelor’s degree in healthcare administration, data analytics, information systems, business, or a related field. - 3–6 years of experience with healthcare provider data and credentialing operations. - Strong understanding of healthcare provider identifiers including NPIs and TINs. - Experience analyzing operational healthcare data related to claims processing. - Strong analytical and problem-solving skills. - Advanced Excel skills including data analysis and reporting. - Experience with data warehouses, SQL, or reporting tools such as Tableau or Power BI. - Familiarity with provider credentialing standards and verification processes. Benefits - 401K with company match. - Comprehensive health and wellness packages. - Internal mobility team dedicated to career development. - Professional growth opportunities including training and conference attendance. - Cutting-edge technology and tools for your learning. - Paid vacation and holiday time. - Remote work flexibility.

Overview FWI is building a team to develop and monitor Veterans' Employment and Training Service (VETS) program's performance outputs and policy support services; to include updating current policies, initiating new policies to support national, state, and local veterans’ offices, or examining federal policies affecting execution of veterans’ programs and changing policies to include latest Congressional and Executive Order decisions. As an Analyst you will be a part of a team that is responsible for evaluating and analyzing program performance data, research and development of program policy and processes, and review and update of policy implementation in regional and field offices. FWI is expanding rapidly and has been recognized as a 2024 Top Workplace by Washington Post, offering excellent growth opportunities in a collaborative environment. **This is a full time remote position; however the customer may ask for an occasional office visit.** Work Schedule and Location: Remote: This full-time remote position will work Monday through Friday, 8 AM EST to 5 PM EST Responsibilities - Shall have experience gathering requirements to address business needs, facilitating the branding and design of SharePoint intranets, creating/maintaining custom, data-rich content that is organized for efficiency and record keeping, writing technical guidance/standard operating procedures, and providing end user training. - Use site analytics information to determine end user engagement levels and propose improvements that will optimize target audience interest and accessibility. Qualifications Required: - Ability to undergo and successfully pass a minimum background investigation (MBI) or a background investigation (BI) conducted through the U.S. Department of Labor - A minimum of two (2) years of experience in Microsoft 365/SharePoint design/development for an organization, to include the development and maintenance of sites, assets, document libraries/metadata, the management of user groups, and integrations with the Microsoft Office suite. - A minimum of three (3) years of experience using databases and developing reports, charts, and pivot tables using MS Excel and/or other analytical tools. - FWI is an Equal Opportunity Employer, including disability/vets. Why Join Our Team At FWI, we place the highest importance on creating an exceptional employee experience. You'll have opportunities to achieve your career aspirations through internal promotions, professional development, and other recognition and rewards programs. Join our team and take advantage of the many benefits we offer, including: - Health Insurance - Dental Insurance - Vision Insurance - Long-term and Short-term Disability Insurance - Life Insurance - 401(k) Plan - Holiday Pay - Paid Time Off Pay Range Up to 78k a year

Role – Clinical Subject Matter Expert & Data Abstractor Location – Remote Job Summary We are seeking a highly skilled and detail-oriented Clinical Subject Matter Expert (SME) to lead clinical pre-annotation validation and data abstraction. This role is critical for our incremental annotation process, focusing on the human validation of NLP-generated data and the precise abstraction of clinical elements from complex medical records. The successful candidate will bridge the gap between raw clinical documentation and high-quality structured datasets, specifically supporting studies in neurology (ICH and Seizures). Key Responsibilities - Clinical Data Abstraction: Perform deep-dive reviews of clinical notes for cohorts of up to 150 patients with Intracerebral Hemorrhage (ICH) and 150 patients with new-onset seizures. - Targeted Data Extraction: Assess and extract up to 18 specific data elements (5–9 per outcome) across patient groups as defined by client protocols. - Dataset Management: Accurately enter abstraction findings into patient-specific datasets and ensure timely delivery of high-quality data to the client. Clinical Annotators to abstract facts from notes and update those in CRFs - Annotation Validation: Perform rigorous human validation on pre-annotated data generated by commercial NLP models (e.g., Amazon Comprehend Medical) or internal LLM tools. - Guideline Refinement: Contribute to the iterative improvement of annotation guidelines to enhance inter-annotator agreement and resolve disagreements between model outputs and human validation. - Cross-functional Collaboration: Partner with Data Science and NLP teams to provide feedback on model performance and assist in the creation of "golden datasets" for model evaluation. - Compliance: Maintain strict adherence to HIPAA, data privacy, and security protocols regarding sensitive US patient data. Qualifications Must-Have (Required): - Education: Bachelor’s or Master’s degree in a Healthcare/Life Sciences field (e.g., Nursing/RN, BAMS, BHMS, Pharmacy, or Clinical Research). - Experience: Proven experience in Clinical Data Abstraction or medical record review. - Clinical Competency: Strong ability to interpret unstructured US clinical documentation (Discharge Summaries, Physician Progress Notes, Imaging Reports). - Technical Proficiency: Solid understanding of NLP concepts and experience with data annotation tools (e.g., Label Studio, Prodigy, Inception). - Detail Oriented: Exceptional accuracy in identifying minute clinical data elements across 100+ page patient files. Good-to-Have (Preferred): - JSL Expertise: Prior experience within the John Snow Labs (JSL) ecosystem, specifically Health AI Lab and GenAI tools. - Therapeutic Knowledge: Specific experience in Neurology (Stroke/ICH/Seizures) or Oncology (ECOG/Karnofsky scores). - Advanced Annotation: Experience with Named Entity Recognition (NER), Relationship Extraction, and Assertion Status. - Process Knowledge: Familiarity with incremental batch training and machine learning lifecycles. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers. Physical Demands This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. EEO Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.