
501 - 1000 employees
Founded 2016
🤝 B2B
🤖 Artificial Intelligence
💳 Fintech
B2B • Artificial Intelligence • Fintech
Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.
🕒 April 16
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501 - 1000 employees
Founded 2016
🤝 B2B
🤖 Artificial Intelligence
💳 Fintech
B2B • Artificial Intelligence • Fintech
Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.
• Partner with stakeholders to define, develop, and maintain clinical KPIs • Develop dashboard and reporting solutions, and the underlying data models to support them. • Collaborate with Product Managers to recommend enhancements to system functionality based on data insights and workflow analysis. • Work closely with Data Engineering and Data Governance teams to influence how clinical data is created, stored, and modeled within the platform. • Work with implementation and engineering teams to investigate and resolve data integration issues, providing analysis and recommendations to unblock client onboarding and ongoing support • Assist in monitoring clinical data pipelines and flagging anomalies, volume shifts, or quality degradation that may impact platform reliability or clinical accuracy • Support product managers and engineers by analyzing clinical data requirements and translating clinical concepts into clear, structured data specifications • Stay current on healthcare interoperability standards (HL7 v2, FHIR R4, CDA/CCDA, USCDI) and standard code systems (SNOMED CT, LOINC, ICD-10-CM, RxNorm, CPT) and contribute to internal knowledge-sharing on how those standards apply to Care Lumen’s data • Participate in the evaluation of new data sources, EHR connectivity patterns, and integration approaches by providing clinical data analysis and structured assessment
• 8 - 10 years of experience in clinical informatics, healthcare analytics, or related fields. • Strong proficiency in SQL and experience querying large, complex datasets. • Hands-on experience with BI visualization tools (e.g., Tableau, Power BI, Looker). • Deep understanding of healthcare workflows, clinical data, and outcomes measurements. • Understanding of common healthcare quality measurement tools (i.e. HEDIS, CAHPS, CMS Star ratings) • Strong analytical and problem-solving skills — able to investigate data issues systematically, document findings clearly, and communicate recommendations to both technical and non-technical stakeholders • Detail-oriented and organized, with the ability to manage multiple concurrent analysis tasks and keep documentation current • Bachelor's degree in Data Science, Health Information Management, Computer Science, or a related field — or equivalent professional experience • Experience working in the healthcare payer space, or with care management and/or utilization management applications. • Background in public health, nursing, or other clinical disciplines is a plus. • Experience working with MongoDB or other NoSQL databases. • Hands-on experience with advanced analytics, machine learning, and AI solutions to generate clinical insights or improve healthcare outcomes. • Experience in a health-tech startup or scale-up environment where priorities shift quickly and self-direction is expected
• Remote-first environment with company provided computer • Thirteen paid holidays per year (average) • Medical, dental and vision coverage with multiple levels of coverage • HSA, FSA and Dependent Care accounts • Short-term and long-term disability • Life and accidental death insurance • Discounted voluntary benefits, such as additional life insurance • Employee Assistance Program • Paid Parental Leave • Flexible vacation time • 401(k) with employer matching and immediate vesting
Apply Now🕒 April 16
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