Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Austin, US
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Posted Nov 9, 2026
The Data Analyst II performs routine (journey-level) data analysis work. Work involves creating and running queries to generate data sets, analyzing the data, and producing reports and graphics based on that data.
Design, develop, test and maintain scalable full‑stack applications across frontend, backend and API layers, collaborating with product, architecture, infrastructure, security and delivery teams to build reliable customer and colleague‑facing solutions.
Responsibilities
Design, develop, test and maintain scalable full‑stack applications, including frontend, backend services, RESTful APIs, microservices and cloud‑based solutions.
Integrate applications with internal platforms, databases and third‑party services, including secure authentication, authorization, session management and API integration.
Develop reusable, maintainable software aligned with design patterns, engineering standards and automated unit, integration and API testing practices.
Support application performance, resilience, monitoring and operational stability by troubleshooting production issues, performing root‑cause analysis and contributing to incident resolution.
Collaborate with DevOps teams on CI/CD pipelines, automated deployments and environment management.
Assist with data profiling, analysis, and reporting for the Ohio Department of Medicaid’s Strategic Analytics team as a college intern.
Compensation
Compensation: $18-24/hour
Responsibilities
Complete routine and adhoc data profiling of new tables
Compare results from new tables to legacy sources
Investigate variances using the identified source of truth for each table
Provide summary feedback and examples to supervisors and developer team members
Participate in team meetings
Requirements
Currently enrolled in an accredited college or university (undergraduate or graduate student)
Nice to have: Strong collaboration & communication skills
Nice to have: Effective organizational & multitasking skills
Nice to have: Interest in public health, healthcare, and data analytics
Nice to have: Conceptual knowledge or experience in any of the following areas is strongly preferred: Statistical analysis, Quantitative research, Statistical modeling; forecasting, Relational databases; programming, Data cleaning; data manipulation
Finance and Accounting Analyst 1 (Pre-Award Financial Analyst) responsible for financial processes and analysis related to clinical trial budgets at OHSU.
Responsibilities
Collects data and works on varied phases of financial processes and analysis relating to clinical trial budgets
Ensures creation of internal budget/billing schedule and negotiation of sponsor and supporter budgets
Manages internal budget/billing schedules, sponsor/supporter budget negotiation, and finance data in OHSU’s CRMS and eCRIS
Collaborates with investigators and study teams to assist in feasibility analysis for clinical trials
Manages departmental, clinical services, and coverage analysis approvals
Requirements
Bachelor’s degree in Accounting, Finance, or a related field from an accredited college or university
Nice to have: experience in clinical research pre-award finance
Nice to have: experience working in oncology
Nice to have: experience working in a clinical or research environment
Nice to have: experience with OHSU Financial systems
AI Software Development Specialist focused on implementing AI functionalities (LLMs, RAG, agents), building supporting microservices, and managing production aspects.
Responsibilities
Implement AI functionalities in products: integrations with LLMs, RAG, agents, semantic search, classification, and data extraction from documents.
Build the services that support these functionalities: APIs, microservices, queues, ingestion and indexing pipelines, integration with vector databases.
Address production aspects: error handling and fallbacks between models, caching, cost and latency control, observability, and security (sensitive data, prompt injection).
Create tests and evaluations (evals) to measure response quality and avoid regressions.
Develop automations and agents for internal processes, integrated with existing systems.
Contribute to the design, development, and maintenance of backend services and APIs that power WHOOP’s core product experiences.
Compensation
The U.S. base salary range for this full-time position is $105,000 - 145,000.
Responsibilities
Contribute to the development and maintenance of backend services and APIs that power WHOOP’s member-facing features using technologies such as Java, Kafka, Postgres, and AWS.
Collaborate with cross-functional partners across Product, Design, Data Science, and Engineering to translate requirements into well-scoped technical solutions.
Write clean, maintainable, and well-tested code while participating in code reviews to continuously improve engineering quality and standards.
Support the operation and monitoring of production systems, helping to troubleshoot issues and ensure reliability, scalability, and performance.
Break down feature requirements into actionable tasks, identify risks early, and iterate quickly to deliver value to members.
