Loopback jobs in Dallas, TX

About the Job Loopback Analytics is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will be a critical member of the data operations and support team and will be involved in innovating with leading-edge data lake and big data technologies. Job Duties Sales Engineering & GTM Support Act as the technical expert for real-world data (RWD) and life sciences data products during sales cycles, client presentations, and discovery calls. Translate customer cohort definitions and research questions into clear data requirements and feasibility analyses. Communicate complex data capabilities, data quality, and limitations to both technical and non-technical stakeholders. Develop and present proofs of concept (POCs) using internal data warehouse resources to demonstrate Loopbacks ability to support specific research or business questions. Partner closely with Sales and GTM teams to refine messaging and solution positioning based on data capabilities. Data Analysis & Solution Delivery Analyze Loopbacks large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to create cohort extracts and deliverables for customers and partners. Support data delivery, custom analytics, and ad-hoc data pulls as required by the customer lifecycle. Conduct exploratory analyses to assess the feasibility of new use cases or data sources. Synthesize and communicate analytical findings in client-ready formats (slide decks, visualizations, technical summaries). Cross-Functional Collaboration & Continuous Improvement Collaborate with GTM and Operations teams to improve data quality, documentation, and product features. Gather and document customer feedback to inform future data product development. Maintain up-to-date knowledge of privacy, security, and regulatory considerations for healthcare data, supporting compliance in all client-facing work. Requirements Bachelors degree in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related). 2+ years experience working with large healthcare datasets (claims, EHR, or pharmacy data) in an analytics or data science capacity or working in a clinical setting. Demonstrated client-facing experience (Sales Engineer, Solutions Architect, Customer Analytics, or similar) supporting the sales or delivery of data products/services. Proficiency in SQL and at least one scripting/statistical language (Python, R). Experience with cloud data platforms (Snowflake, Databricks, Azure, or AWS). Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses. Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences. Comfortable working in a fast-paced, cross-functional team environment. Preferred Experience supporting sales, pre-sales, or customer delivery in a SaaS or data product organization. Familiarity with HIPAA, de-identification, and regulatory frameworks for health data. Experience building and presenting data visualizations in Tableau, Power BI, or similar. Advanced degree in a relevant field a plus. Personal Characteristics Data-driven and analytically rigorous, with a focus on delivering client value. Creative, resourceful, and comfortable with ambiguity. Strong collaborator who thrives in a team-oriented, rapidly evolving environment. Rated as one of the best places to work in Dallas by the DBJ, Loopback Analytics is a leading provider of data-driven solutions for hospitals and health systems. The companys comprehensive analytics platform drives growth for specialty and ambulatory pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopbacks clients include leading academic medical centers and health systems. For more information about Loopback Analytics, please visit our website at ************************** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

Job DescriptionSalary: This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. The Director of Integration Engineering leads Loopbacks Data Integration team and serves as the senior-most authority on integration engineering. Reporting directly to the CTO, this role is accountable for the execution of integrations with a focus on speed, predictability, quality, and cost efficiency. The Director is a hands-on technical leader reviewing code, mentoring engineers, and instilling engineering best practices while driving outcomes at scale through automation, frameworks, and process discipline. This role owns Loopbacks speed-to-value and unit economics for integrations, including both labor and infrastructure costs. The Director ensures new data sources are onboarded rapidly, accurately, and cost-effectively, with measurable impact on platform economics and client delivery outcomes. Key Responsibilities Integration Leadership: Lead and grow the Data Integration team (data analysts and engineers) with a focus on speed, quality, and predictability. Technical Oversight: Provide hands-on review of Python, SQL, and Databricks code, ensuring technical excellence and maintainability. Mentorship: Elevate team capability through structured coaching, code reviews, and setting engineering best practices. Process Discipline: Define and enforce integration playbooks, onboarding frameworks, and delivery practices that reduce cycle times and defects. Cross-Functional Partnership: Collaborate with Product, Data Engineering, RWD, and PMO to align integration outcomes with business priorities and client expectations. Unit Economics & Cost Discipline: Own and track the economic performance of integrations, including cost-per-implementation, infrastructure costs, and opportunity cost of schedule delays translating integration economics into actionable engineering decisions and strategies for leveraging labor alternatives. Automation & Innovation: Drive initiatives that reduce manual effort in onboarding, optimize Snowflake/Databricks infrastructure spend, and improve speed-to-value. Domain Expertise: Apply deep healthcare data knowledge (Epic, Cerner, pharmacy, claims, RWD) to accelerate mapping, normalization, and onboarding success. Qualifications & Profile Strong technical background in Python, SQL, Databricks, and/or Snowflake, with the ability to evaluate and guide code at depth. Proven success leading integration or data engineering teams, with a record of mentoring and multiplying the impact of others. Demonstrated success in healthcare data environments Epic or Cerner integration experience strongly preferred. Strong understanding of data onboarding, mapping, and normalization processes. Experience in defining, tracking, and improving unit economics for technical delivery and infrastructure costs. Effective cross-functional collaborator with Product, Data Engineering, PMO, and business stakeholders. Balance of strategic mindset with willingness to get hands dirty in technical review and process definition. Success Metrics Cycle Time: Demonstrated reduction in onboarding duration, accelerating speed-to-value. Quality: High first-pass acceptance of integrations with minimal rework required. Predictability: Reliable delivery of integrations on committed schedules. Automation & Frameworks: Increased leverage of automation and reusable patterns in integration delivery. Cost Efficiency: Measurable reduction in both labor and infrastructure costs per integration. Unit Economics: Defined, tracked, and continuously improved economics across integration types, incorporating cost-per-integration, opportunity cost of delay, and strategies for leveraging labor alternatives. Client Impact: Measurable improvement in client confidence and satisfaction with Loopbacks delivery performance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. About the Job Loopback is seeking an innovative and team-oriented Data Integration Engineer to join our dynamic team. In this role, you will be responsible for building and maintaining data transformation mappings from source to destination formats. You will play a critical role in managing data flow processes, analyzing data, and collaborating with cross-functional teams to identify and implement system and process improvements. Additionally, you will design, document, implement, and support key clinical datasets. Duties to Include · Manage evolving data ingestion formats across Health Systems, Life Science, and Enterprise Partner environments. · Own and maintain the codebase and documentation for data transformations from source systems into existing data pipelines. · Develop and sequence jobs and processes to load, transform, and manage data within the data lake and data warehouse. · Maintain and enhance the Loopback data model, ensuring codebase reliability to meet client/application SLA requirements. · Design and implement scalable, reliable data engineering pipelines to process large datasets across diverse sources and analytics use cases. · Drive internal process improvements by automating manual tasks and optimizing data delivery pipelines. · Identify and implement solutions to improve data reliability, efficiency, and quality. · Develop, promote, and enforce best practices in data integration and engineering. · Collaborate with business stakeholders to understand use cases, capture business rules, and align on solutions that address business challenges. · Conduct data profiling, create documentation, and develop automated tests to ensure data quality and accuracy. Requirements You will thrive if you: · Exhibit a “self-starter” mindset in taking ownership over delegated responsibilities · Have excellent program/task organizational skills · Are detail and results oriented You bring a toolkit of your past experiences of: · 3-5 Years of experience as a Data Integration Engineer or similar role · Implementing and designing data curation, and data analysis · Orchestrating data transformation through cloud native analytics platforms (Snowflake, Databricks) across cloud environments (Azure, AWS, GCP) · Building and modeling data in relational and non-relational data storage technologies including schema design, stored procedure development and performance and optimization techniques (e.g. SQL & NoSQL, C#, Python, etc.) · Effective collaboration, experienced in creating technical partnerships across teams · Learning and understanding the various technical domains across the enterprise and able to communicate complex technical and business concepts across the enterprise and various business stakeholders · Effectively delivering results in a fast-paced environment while managing multiple priorities · Documenting and testing your designed solutions, engaging with QA and DevOps teams Contact Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ, Loopback Analytics is a leading provider of data-driven solutions for hospitals and health systems. The company's comprehensive analytics platform drives growth for specialty and ambulatory pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback's clients include leading Academic Medical Centers, health systems, and Life Sciences companies. For more information about our company and services please visit our website at ************************** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

Job DescriptionSalary: This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. About the Job The Contract Administrator plays a key role in supporting Loopbacks Legal Department. This position oversees contract workflows, compliance documentation, and cross-department collaboration to ensure all agreements are executed accurately and efficiently. This role is ideal for a professional with deep experience in SaaS contract administration, legal operations, and compliance who thrives in a dynamic, high-growth healthcare technology environment. Job Duties to Include Contract Lifecycle Management: In coordination with internal corporate counsel, manage the full lifecycle of customer, vendor, and partner agreementsincluding drafting, reviewing, negotiating, and executing contracts such as MSAs, SOWs, BAAs, Order Forms, NDAs, and amendments. Database System Ownership: Develop, implement, and maintain the companys centralized contract management database system (currently Salesforce-based), ensuring accurate entry, version control, and tracking of all agreements. Process Development: Design and continuously refine standardized procedures for contract intake, approval, execution, and archiving to drive consistency and efficiency across the organization. Compliance & Risk Management: Partner with Legal and Finance to ensure all contracts comply with corporate policies, regulatory requirements (HIPAA, GDPR, data security), and internal approval thresholds. Cross-Functional Collaboration: Serve as liaison among Legal, Sales, Finance, and Operations to facilitate contract execution, resolve issues, and ensure alignment across teams. Reporting & Metrics: Generate and distribute periodic reports on contract volume, turnaround time, renewal status, and key performance metrics. Renewal & Obligation Tracking: Maintain proactive oversight of key contract dates, obligations, and renewal timelines; provide timely alerts to stakeholders. Vendor & Insurance Administration: Review vendor agreements for compliance and risk allocation; maintain and distribute ACORD forms and insurance documentation. Due Diligence & Audit Support: Support corporate counsel with internal audits, M&A due diligence, and compliance investigations; maintain organized electronic audit files. Workflow Automation: Configure and maintain Salesforce workflows and templates for contract approval, version tracking, and document routing Requirements Required 7+ years of contract administration or legal operations experience, preferably in a SaaS or healthcare data company. Experience developing and managing a contract management system or database (Salesforce experience strongly preferred). Demonstrated ability to work collaboratively with in-house counsel, finance, and executive leadership. Strong knowledge of contract law fundamentals, data privacy obligations, and healthcare compliance standards (e.g., HIPAA). Exceptional attention to detail and organizational skills. Proficiency with Microsoft 365, Adobe Acrobat,DocuSign and CRM/CLM systems. Strong communication and interpersonal skills, with the ability to interact confidently at all organizational levels. Preferred 10+ years of legal, contract administration, or corporate operations experience. Paralegal or legal operations certification. Notary Public certification or willingness to obtain Familiarity with RFP responses, procurement processes, and compliance documentation. Bachelors degree in business, legal studies, or related field. About Loopback Loopback is a leading provider of data-driven solutions for health systems and life science organizations. The companys comprehensive analytics platform drives growth for specialty pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback partners with Life Science leaders to tackle their most important challenges and capture their most exciting opportunities. Loopbacks clients include leading academic medical centers, health systems, and life sciences companies. Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ. For more information about our company and services please visit our website at************************** Travel expectation less than [15%].All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

About the Job Loopback Analytics is seeking a senior-level AI Architect with real-world, hands-on experience deploying machine learning and natural language processing solutions, particularly in environments involving healthcare data. This is a role for a “been there, done that” builder - someone who's led teams or projects involving LLMs, ML pipelines, and NLP workflows across real data with real constraints. You won't just prototype models; you'll design, build, and scale production-grade AI systems that have immediate impact. As a pivotal member of Loopback's engineering team, this individual will be responsible for designing and deploying AI systems in a cohesive manner that aligns with Loopback's existing data and software architectures. The ideal candidate will have a proven track record of taking AI/ML-enabled products from concept to market, preferably within the Healthcare industry. Job Duties to Include Through close collaboration with the Product and Engineering teams, develop and own products and services that leverage the latest artificial intelligence and machine learning technologies and techniques Be a thought leader across the organization on AI/ML; champion education and upskilling initiatives Keep a close pulse on AI/ML technology advancements, industry trends, best practices, and vendor ecosystems Assess LLM/NLP/ML solution feasibility via solution outlines, risk analysis, and POCs Design or assess systems for enterprise healthcare requirements, including privacy and regulatory requirements Estimate effort and cost for LLM/NLP/ML solutions at varying detail levels Present and advise on AI strategies given existing, emerging, and potential capabilities Break down work and write specifications for annual, quarterly, and sprint planning Build and maintain LLM/NLP/ML training and evaluation datasets Consult and advise on both external product and internal labor optimization AI use cases Design and oversee the development of scalable ML and LLM-based systems for healthcare data applications Lead architectural decisions across AI workflows: model training, deployment, monitoring, versioning, and lifecycle management Build and improve NLP pipelines, including named entity recognition (NER), clinical summarization, and semantic search Mentor engineers and data scientists in best practices for model reliability, safety, and performance Establish guardrails for responsible AI use, including bias mitigation and patient data protection Requirements 5+ years of experience in machine learning or AI architecture roles, across ML/NLP/LLM systems 3+ years as an architect or technical lead with systems-level experience Demonstrated expertise with a blend of some (not all) of the below or similar tools: LLM platforms: OpenAI (GPT-4+), Anthropic Claude, Mistral, Hugging Face Transformers ML toolkits: PyTorch, TensorFlow, JAX, scikit-learn Data & orchestration: Apache Spark, MLflow, Airflow, LangChain NLP frameworks: John Snow Labs, spa Cy, Haystack, SentenceTransformers, Hugging Face Datasets Experience deploying and supporting ML/NLP/LLM systems in production Comfort navigating regulatory environments, including HIPAA compliance (or similar) Familiar with security considerations present in healthcare AI scenarios This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. Loopback is a leading provider of data-driven solutions for health systems and life science organizations. The company's comprehensive analytics platform drives growth for specialty pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback partners with Life Science leaders to tackle their most important challenges and capture their most exciting opportunities. Loopback's clients include leading academic medical centers, health systems, and life sciences companies. Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ. For more information about our company and services please visit our website at ************************* All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. About Loopback Loopback is a leading provider of data-driven solutions for health systems and life science organizations. The company's comprehensive analytics platform drives growth for specialty pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback partners with Life Science leaders to tackle their most important challenges and capture their most exciting opportunities. Loopback's clients include leading academic medical centers, health systems, and life sciences companies. Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ. For more information about our company and services please visit our website at ************************** About the Job Loopback Analytics is currently seeking a Technical Business Analyst. The successful candidate will work directly with the Data Integration and Implementation teams to establish data flow between Loopback Analytics and its clients. This role serves as a liaison between business stakeholders and the technical teams, with a focus on understanding business needs and translating them into actionable data integration solutions. This role requires a strong understanding of EHR data and workflow, business and process analysis skills, and healthcare data integration standards. Job Duties to Include Collaborate and Gather Insights: Partner with business stakeholders, project managers, and technical teams to collect, document, and analyze business requirements related to data integration projects. Define Data Solutions: Work alongside data architects and engineers to establish data mapping and transformation protocols between EHR/dispensing source systems and Loopback Analytics platforms. Manage Data Assets: Develop and maintain a comprehensive Business Data Catalog to effectively manage and support Loopback's data assets. Analyze Healthcare Data: Review and interpret data from clients' EHR and pharmacy dispensing systems to provide meaningful insights. Ensure Compliance and Best Practices: Establish and document data specifications to align with industry standards and healthcare compliance regulations. Create Detailed Documentation: Prepare business and functional requirements, use cases, workflows, and data flow diagrams to support the Implementation team. Optimize Processes: Continuously review and assess data integration processes, proposing enhancements based on business needs and feedback. Report and Track Performance: Generate and share detailed reports on data integration performance and process metrics, promoting transparency and continuous improvement. Lead Stakeholder Engagements: Facilitate meetings and discussions to gather feedback, provide project updates, and address any challenges that arise. Communicate Status Updates: Provide consistent project status updates to stakeholders, ensuring everyone is informed of progress and key developments. Support Daily Operations: Assist with daily data mapping activities to maintain business continuity and deliver high-quality service. Requirements In-depth knowledge of EHR systems (e.g. EPIC, Cerner, or Allscripts) and dispensing systems (e.g. EPIC WAM, ScriptPro, McKesson, ComputerRx) Understanding of clinical workflows, medical terminology, and healthcare data Understanding of data management principles, data integration, and data quality Experience writing data specifications, preferably HL7, FHIR or ETL/ELT pipelines (processing and transforming raw data into usable formats) Bachelor's or master's degree in a relevant field (e.g. Computer Science, Data Science, Healthcare Informatics) Travel expectation less than [15%]. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. Loopback Analytics is currently looking for a FinOps Analyst to help us manage, analyze, and optimize cloud and compute costs across our Azure, Databricks, and Snowflake environments, with potential exposure to multi-cloud platforms such as AWS or GCP. This role sits within the Data Operations group and will collaborate closely with Engineering, Infrastructure, and Finance teams to drive visibility and accountability in cloud costs, including the identification and remediation of inefficient workloads (sql, python) and data pipelines that inflate costs. Ideal candidates will have hands-on experience in cloud cost management, billing analytics, and operational optimization - and who is comfortable diving deep into both data and process improvement. Key Responsibilities Monitor and analyze cloud spend across Azure, Databricks, and Snowflake (if applicable). Build cost tracking and reporting dashboards using native tools (Azure Cost Management, Databricks Billing APIs & Dashboards, Power BI) and SQL/Python. Develop tagging and cost-allocation frameworks to support chargeback and forecasting models. Partner with Engineering and Infrastructure to optimize compute usage, storage tiers, and licensing. Recommend query tuning, partitioning and caching strategies to improve performance and reduce cost-per-job on Databricks. Support monthly budget reviews and identify trends, anomalies, and optimization opportunities. Manage governance policies for resource provisioning and cost alerts. Partner with Information Security to ensure FinOps practices and cost controls align with SOC2 and HIPAA compliance requirements. Provide insights into FinOps maturity and recommend process improvements. Qualifications Required: 5-7 years of experience in FinOps, Data Operations, Cloud Cost Analysis, or related roles. Hands-on experience with Azure Cost Management, Databricks, and Windows infrastructure. Solid analytical and SQL skills; comfort with scripting in Python or PowerShell. Familiarity with tagging strategies, cost attribution, and usage-based billing. Strong understanding of cloud services (compute, storage, networking) and pricing models. Ability to communicate technical findings to financial and non-technical audiences. Preferred: Experience in healthcare data platforms or regulated data environments (HIPAA). Exposure to Snowflake and data warehouse cost optimization. Familiarity with Databricks Dashboards or Power BI or Looker for cost reporting. FinOps Foundation certification or training a plus. Soft Skills Detail-oriented and data-driven. Proactive in identifying inefficiencies and suggesting pragmatic solutions. Comfortable working in a cross-functional, data-intensive environment. Strong communication and documentation skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. About the Job The Executive Assistant provides high-level administrative support to the Chief Executive Officer (CEO) of Loopback Analytics. This role is critical to ensuring the smooth operation of executive activities, communications, and coordination across departments. The ideal candidate is detail-oriented, professional, and experienced in supporting senior executives in fast-paced environments. Job Duties to Include Administrative Support Manage the CEO's calendar, meetings, and travel logistics. Prioritize communications (emails, calls, requests) to maximize executive efficiency. Maintain confidentiality with sensitive company and personnel information. Document & Communication Management Prepare agendas, presentations, and meeting materials. Record action items and ensure timely follow-up. Draft and edit executive correspondence and reports. Cross-Department Coordination Serve as a liaison between the CEO and internal teams. Facilitate communication and ensure alignment on key priorities. Assist with internal and external meeting coordination and logistics. Office & Event Support (Dallas Office) Order office supplies and maintain a professional workspace. Retrieve mail and coordinate occasional in-office events or meetings. Requirements 5+ years of experience providing administrative support to senior executives. Proficiency with Microsoft 365 and virtual meeting platforms (Teams, Zoom). High level of discretion, integrity, and professionalism. Proficiency with Microsoft 365, Adobe Acrobat,DocuSign and CRM/CLM systems. Strong communication and interpersonal skills, with the ability to interact confidently at all organizational levels. Preferred Experience supporting a CEO or executive team in a SaaS or healthcare setting. Familiarity with presentation tools and basic reporting. Notary Public certification or willingness to obtain Comfort working with remote and cross-functional teams Bachelor's degree or equivalent professional experience. About Loopback Loopback is a leading provider of data-driven solutions for health systems and life science organizations. The company's comprehensive analytics platform drives growth for specialty pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback partners with Life Science leaders to tackle their most important challenges and capture their most exciting opportunities. Loopback's clients include leading academic medical centers, health systems, and life sciences companies. Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ. For more information about our company and services please visit our website at ************************** Travel expectation less than [15%]. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. The Director of Integration Engineering leads Loopback's Data Integration team and serves as the senior-most authority on integration engineering. Reporting directly to the CTO, this role is accountable for the execution of integrations with a focus on speed, predictability, quality, and cost efficiency. The Director is a hands-on technical leader - reviewing code, mentoring engineers, and instilling engineering best practices - while driving outcomes at scale through automation, frameworks, and process discipline. This role owns Loopback's speed-to-value and unit economics for integrations, including both labor and infrastructure costs. The Director ensures new data sources are onboarded rapidly, accurately, and cost-effectively, with measurable impact on platform economics and client delivery outcomes. Key Responsibilities Integration Leadership: Lead and grow the Data Integration team (data analysts and engineers) with a focus on speed, quality, and predictability. Technical Oversight: Provide hands-on review of Python, SQL, and Databricks code, ensuring technical excellence and maintainability. Mentorship: Elevate team capability through structured coaching, code reviews, and setting engineering best practices. Process Discipline: Define and enforce integration playbooks, onboarding frameworks, and delivery practices that reduce cycle times and defects. Cross-Functional Partnership: Collaborate with Product, Data Engineering, RWD, and PMO to align integration outcomes with business priorities and client expectations. Unit Economics & Cost Discipline: Own and track the economic performance of integrations, including cost-per-implementation, infrastructure costs, and opportunity cost of schedule delays - translating integration economics into actionable engineering decisions and strategies for leveraging labor alternatives. Automation & Innovation: Drive initiatives that reduce manual effort in onboarding, optimize Snowflake/Databricks infrastructure spend, and improve speed-to-value. Domain Expertise: Apply deep healthcare data knowledge (Epic, Cerner, pharmacy, claims, RWD) to accelerate mapping, normalization, and onboarding success. Qualifications & Profile Strong technical background in Python, SQL, Databricks, and/or Snowflake, with the ability to evaluate and guide code at depth. Proven success leading integration or data engineering teams, with a record of mentoring and multiplying the impact of others. Demonstrated success in healthcare data environments - Epic or Cerner integration experience strongly preferred. Strong understanding of data onboarding, mapping, and normalization processes. Experience in defining, tracking, and improving unit economics for technical delivery and infrastructure costs. Effective cross-functional collaborator with Product, Data Engineering, PMO, and business stakeholders. Balance of strategic mindset with willingness to “get hands dirty” in technical review and process definition. Success Metrics Cycle Time: Demonstrated reduction in onboarding duration, accelerating speed-to-value. Quality: High first-pass acceptance of integrations with minimal rework required. Predictability: Reliable delivery of integrations on committed schedules. Automation & Frameworks: Increased leverage of automation and reusable patterns in integration delivery. Cost Efficiency: Measurable reduction in both labor and infrastructure costs per integration. Unit Economics: Defined, tracked, and continuously improved economics across integration types, incorporating cost-per-integration, opportunity cost of delay, and strategies for leveraging labor alternatives. Client Impact: Measurable improvement in client confidence and satisfaction with Loopback's delivery performance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis. About the Job The Contract Administrator plays a key role in supporting Loopback's Legal Department. This position oversees contract workflows, compliance documentation, and cross-department collaboration to ensure all agreements are executed accurately and efficiently. This role is ideal for a professional with deep experience in SaaS contract administration, legal operations, and compliance who thrives in a dynamic, high-growth healthcare technology environment. Job Duties to Include Contract Lifecycle Management: In coordination with internal corporate counsel, manage the full lifecycle of customer, vendor, and partner agreements-including drafting, reviewing, negotiating, and executing contracts such as MSAs, SOWs, BAAs, Order Forms, NDAs, and amendments. Database System Ownership: Develop, implement, and maintain the company's centralized contract management database system (currently Salesforce-based), ensuring accurate entry, version control, and tracking of all agreements. Process Development: Design and continuously refine standardized procedures for contract intake, approval, execution, and archiving to drive consistency and efficiency across the organization. Compliance & Risk Management: Partner with Legal and Finance to ensure all contracts comply with corporate policies, regulatory requirements (HIPAA, GDPR, data security), and internal approval thresholds. Cross-Functional Collaboration: Serve as liaison among Legal, Sales, Finance, and Operations to facilitate contract execution, resolve issues, and ensure alignment across teams. Reporting & Metrics: Generate and distribute periodic reports on contract volume, turnaround time, renewal status, and key performance metrics. Renewal & Obligation Tracking: Maintain proactive oversight of key contract dates, obligations, and renewal timelines; provide timely alerts to stakeholders. Vendor & Insurance Administration: Review vendor agreements for compliance and risk allocation; maintain and distribute ACORD forms and insurance documentation. Due Diligence & Audit Support: Support corporate counsel with internal audits, M&A due diligence, and compliance investigations; maintain organized electronic audit files. Workflow Automation: Configure and maintain Salesforce workflows and templates for contract approval, version tracking, and document routing Requirements 7+ years of contract administration or legal operations experience, preferably in a SaaS or healthcare data company. Experience developing and managing a contract management system or database (Salesforce experience strongly preferred). Demonstrated ability to work collaboratively with in-house counsel, finance, and executive leadership. Strong knowledge of contract law fundamentals, data privacy obligations, and healthcare compliance standards (e.g., HIPAA). Exceptional attention to detail and organizational skills. Proficiency with Microsoft 365, Adobe Acrobat,DocuSign and CRM/CLM systems. Strong communication and interpersonal skills, with the ability to interact confidently at all organizational levels. Preferred 10+ years of legal, contract administration, or corporate operations experience. Paralegal or legal operations certification. Notary Public certification or willingness to obtain Familiarity with RFP responses, procurement processes, and compliance documentation. Bachelor's degree in business, legal studies, or related field. About Loopback Loopback is a leading provider of data-driven solutions for health systems and life science organizations. The company's comprehensive analytics platform drives growth for specialty pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback partners with Life Science leaders to tackle their most important challenges and capture their most exciting opportunities. Loopback's clients include leading academic medical centers, health systems, and life sciences companies. Founded in 2009, Loopback was rated as one of the best places to work in Dallas by the DBJ. For more information about our company and services please visit our website at ************************** Travel expectation less than [15%]. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

About the Job Loopback Analytics is hiring an innovative and team-oriented RWD Data Analyst who will work closely with Loopback Real World Data and Data Operations teams. This position will be a critical member of the data operations and support team and will be involved in innovating with leading-edge data lake and big data technologies. Job Duties Sales Engineering & GTM Support Act as the technical expert for real-world data (RWD) and life sciences data products during sales cycles, client presentations, and discovery calls. Translate customer cohort definitions and research questions into clear data requirements and feasibility analyses. Communicate complex data capabilities, data quality, and limitations to both technical and non-technical stakeholders. Develop and present proofs of concept (POCs) using internal data warehouse resources to demonstrate Loopback's ability to support specific research or business questions. Partner closely with Sales and GTM teams to refine messaging and solution positioning based on data capabilities. Data Analysis & Solution Delivery Analyze Loopback's large-scale healthcare data warehouse (claims, EHR, pharmacy, etc.) to create cohort extracts and deliverables for customers and partners. Support data delivery, custom analytics, and ad-hoc data pulls as required by the customer lifecycle. Conduct exploratory analyses to assess the feasibility of new use cases or data sources. Synthesize and communicate analytical findings in client-ready formats (slide decks, visualizations, technical summaries). Cross-Functional Collaboration & Continuous Improvement Collaborate with GTM and Operations teams to improve data quality, documentation, and product features. Gather and document customer feedback to inform future data product development. Maintain up-to-date knowledge of privacy, security, and regulatory considerations for healthcare data, supporting compliance in all client-facing work. Requirements Bachelor's degree in a quantitative or life sciences field (e.g., Statistics, Bioinformatics, Epidemiology, Computer Science, Pharmacy, Public Health, or related). 2+ years' experience working with large healthcare datasets (claims, EHR, or pharmacy data) in an analytics or data science capacity or working in a clinical setting. Demonstrated client-facing experience (Sales Engineer, Solutions Architect, Customer Analytics, or similar) supporting the sales or delivery of data products/services. Proficiency in SQL and at least one scripting/statistical language (Python, R). Experience with cloud data platforms (Snowflake, Databricks, Azure, or AWS). Exceptional problem-solving skills with the ability to break down ambiguous client questions into actionable analyses. Strong communication skills, both verbal and written, with an ability to explain complex data concepts to non-technical audiences. Comfortable working in a fast-paced, cross-functional team environment. Preferred Experience supporting sales, pre-sales, or customer delivery in a SaaS or data product organization. Familiarity with HIPAA, de-identification, and regulatory frameworks for health data. Experience building and presenting data visualizations in Tableau, Power BI, or similar. Advanced degree in a relevant field a plus. Personal Characteristics Data-driven and analytically rigorous, with a focus on delivering client value. Creative, resourceful, and comfortable with ambiguity. Strong collaborator who thrives in a team-oriented, rapidly evolving environment. Rated as one of the best places to work in Dallas by the DBJ, Loopback Analytics is a leading provider of data-driven solutions for hospitals and health systems. The company's comprehensive analytics platform drives growth for specialty and ambulatory pharmacy programs while connecting pharmacy activities with clinical and economic outcomes. Loopback's clients include leading academic medical centers and health systems. For more information about Loopback Analytics, please visit our website at ************************** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.