Summary The Instructor will deliver and implement the Pharmacy Technician program in an online format, educating students in alignment with curriculum standards and objectives. Essential Functions - Conduct online courses in accordance with established guidelines. - Facilitate weekly synchronous instructional sessions. - Provide feedback on assignments and support students struggling with course content. - Maintain and record grades per policy; submit final grades at the end of each course. - Proactively support retention by contacting non-engaged students via phone, text, or email, and advising on academic progress and participation. - Respond to student communication within 24 hours and grade assignments within 48 hours of due dates. - Direct students with questions about financial aid, transcripts, etc., to the appropriate personnel. - Engage in required professional development and continuing education. - Attend faculty meetings—either synchronously or asynchronously. - Stay up-to-date on professional trends and advancements in technology. Note: The above list of essential functions is not exhaustive and may be supplemented. Marginal Functions - Perform mental tasks such as communication, reading, and comprehension from written and oral instructions. - Execute physical tasks like sorting, filing, writing, and lifting up to 20 pounds. Methods, Techniques & Procedures - Review relevant documents, forms, and reports. Tools & Equipment - Utilize office equipment, including telephones, copiers, printers, and computers. Working Conditions - Exposure to indoor classrooms, labs, and office environments. - Interaction with employees, students, and the public. - Potential exposure to biohazardous materials (e.g., blood, saliva). Minimum Qualifications - Graduation from an accredited Pharmacy Technician program recognized by the U.S. Department of Education or Council for Higher Education Accreditation (CHEA), a hospital-based program, or an international equivalent. OR - Four (4) years of relevant training/experience for non-accredited program graduates. - Three (3) years of practical experience in a pharmacy technician setting. - Possession of current licenses, certifications, or designations required by local, state, or federal law. - Strong verbal and written communication skills. - Proficiency in Word, Excel, Access, PowerPoint, and other computer software.

• Design, automate and monitor Machine Learning pipelines • Implement and maintain CI/CD processes for models • Work on orchestration and large-scale data processing • Ensure best practices for versioning, testing and model deployment • Collaborate with Data, Engineering and Business teams for continuous improvement of solutions

Requisition ID 2026-4256 Job Summary Aptive seeks a skilled Evaluation Specialist to support the Veterans Health Administration’s (VHA) RISE Implementation initiative by assisting with performance measurement and evaluation activities. This role will focus on supporting the development of evaluation frameworks, data collection strategies, and performance metrics to assess implementation progress and outcomes. The specialist will assist in gathering and analyzing quantitative and qualitative data to support readiness assessments, implementation monitoring, and evaluation of Initial Operating Capability (IOC). Primary Responsibilities In support of implementation and evaluation, the Evaluation Specialist will contribute to tracking key performance indicators (KPIs), developing dashboards and reporting tools, and supporting post-implementation reviews. Responsibilities include assisting in analyzing program performance, identifying trends and areas for improvement, and documenting findings and lessons learned. The specialist will also support continuous improvement efforts by helping translate evaluation results into actionable recommendations and ensuring alignment with program goals and performance expectations. The ideal candidate will have a foundational understanding of program evaluation, data analysis, and performance measurement, along with strong analytical and communication skills. A bachelor’s degree in public policy, public administration, public health, statistics, or a related field is required, with experience or coursework in evaluation methods or healthcare programs preferred. The role requires attention to detail, proficiency in data analysis and visualization tools, and the ability to work collaboratively in a fast-paced environment. Minimum Qualifications - 5 years of experience with measuring program activities. - Bachelor’s Degree in a related field, such as public health, statistics, or business. - Consulting experience supporting large, complex Cabinet-level federal agencies. - Ability to obtain and maintain a public trust clearance. - Legal authorization to work in the U.S.

• Own and evolve the hybrid search pipeline – lexical retrieval, dense vector search, reciprocal rank fusion, and multi-stage reranking on Elasticsearch • Build and train adaptive retrieval models – lightweight classifiers and ranking models that configure search behavior per query, per category, per context (source routing, per-attribute boost prediction, filter mode decisions) • Design and productionize the learning-to-rank system – from feature engineering through model training (LightGBM, ONNX) to production deployment and A/B evaluation • Build the search feedback loop – instrument and integrate behavioral signals (CTR, conversions, add-to-cart) into ranking and retrieval as features for LTR, reward signals for adaptive retrieval, and inputs for search-side personalization • Build the business and ordering layer – separating organic relevance from sponsored/partner placement with quality gates, slot allocation, campaign configuration, and an auction-style approach as the system matures • Own the offline enrichment pipeline – LLM-based product enrichment at scale, data quality monitoring, and index management • Instrument and evaluate everything – bulk evaluation pipelines, per-category metric tracking, regression detection, experiment analysis • Integrate query understanding outputs into retrieval – translating extracted attributes, intents, and constraints into filters, boosts, and retrieval strategy decisions