Role Description Brandeis University’s Online Health Informatics Program is seeking an Adjunct Faculty member for RHIN 100 Introduction to Health Informatics: Clinical Foundations and Healthcare Workflows for the Fall-1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Health Informatics. This course will highlight the fundamentals of health informatics in addition to an overview of: - Clinical care delivery models - Clinical roles - Documentation workflows - Mapping of clinical processes to data capture and informatics requirements Core Course Responsibilities Summary - Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms. - Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation. - Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe. - Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term. Qualifications - Advanced degree (Master’s or Ph.D.) in Health Informatics, Information Science, Health Services, or a related field - Professional experience in healthcare with a focus on health informatics, clinical workflows and delivery models, and knowledge of healthcare data collection - Minimum of 5 years work experience in a healthcare environment with responsibilities related to healthcare data management - Strong knowledge of healthcare information technology, electronic health records (EHRs), and current trends - Experience with online instruction - Excellent communication and teaching skills in an online learning environment Requirements - Prior online teaching experience at the graduate level (Preferred) - Knowledge of global learner personas and culturally responsive pedagogy (Preferred) - Familiarity with Moodle LMS and digital authoring tools (e.g., H5P) (Preferred) Benefits - Compensation for this position is $6573.15 Application Process Interested candidates should submit: - A cover letter highlighting relevant qualifications and teaching experience - A current CV or resume - Contact information for three professional references Application review begins 5/27/2026 though we will continue to accept submissions on an ongoing basis. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

Role Description The Integrated Dual Operational Process Trainer leads the design and delivery of non‑clinical, process‑based training to ensure consistent, compliant execution of LTSS managed care operations. Responsibilities include translating complex LTSS workflows, policies, and regulatory requirements into practical training and tools that drive operational readiness, standardization, and continuous improvement. - Design and maintain end‑to‑end LTSS operational training curricula covering non‑clinical workflows such as intake, eligibility coordination, service authorization support, care coordination processes (non‑clinical), transitions, vendor management, and documentation standards. - Translate LTSS policies, procedures, and regulatory requirements into clear, role‑based training materials, job aids, and process guides. - Develop standardized onboarding and refresher training programs for LTSS operational staff and cross‑functional partners. - Serve as a subject matter expert for LTSS business processes, ensuring training content aligns with approved operating models and enterprise standards. - Partner with program and operations leaders to support process standardization and adoption across markets and products. - Facilitate instructor‑led, virtual, and hybrid training sessions for LTSS operational teams and leadership audiences. - Coordinate training rollout plans for new initiatives, system enhancements, policy changes, or regulatory updates impacting LTSS operations. - Collaborate with Quality, Compliance, and Audit teams to incorporate audit findings, corrective actions, and best practices into training content. - Work closely with LTSS Program Management, Operations, IT, Learning & Development, and Market teams to ensure training aligns with enterprise priorities. - Maintain e-manuals and quick tools to be used as resources for Care Management/Care Coordinator. - Support readiness for new market launches, expansions, or product changes related to LTSS and HCBS programs. - Coordinate with the reporting team to collaborate on trends and reporting triggers within the electronic medical record system. Develop and deliver educational materials as necessary. - Participate in the implementation of new business initiatives relevant to the role. - Identify risk areas within operational processes and contribute to the development of process improvement initiatives. - Perform any other job related duties as requested. Qualifications - Associates degree required - Equivalent years of relevant work experience may be accepted in lieu of required education - Two (2) years Experience in healthcare operations, managed care, Medicaid programs, or LTSS/HCBS environments in a non‑clinical capacity required - Two (2) years Experience in training, development and adult learning environments required - Experience translating policies, procedures, and regulatory requirements into operational workflows, training materials, or job aids preferred - Experience in process improvement, operational excellence, or change management preferred Competencies, Knowledge and Skills - Proficiency in Microsoft Office Suite (Word, Excel and PowerPoint) and clinical documentation systems - Ability to translate staff needs into a diverse range of learning and performance improvement strategies - Excellent written, verbal and public speaking skills - Set, prioritize, and achieve clear, measurable goals while maintaining focus on priorities - Ability to adapt to changing circumstances while driving progress toward established goals - Ability to work independently and collaboratively in a team environment and lead initiatives from concept to implementation - Strong time management, organizational and multitasking abilities - Ability to develop, prioritize and accomplish goals - Build and maintain positive relationships to promote teamwork and facilitate productive discussions - Effective listening, critical thinking, problem-solving skills and attention to detail - Professional interpersonal skills promoting a respectful, inclusive workplace culture - Ability to interact effectively with all levels of management and adapt to multiple organizational layers - Customer service oriented with change resiliency Working Conditions - General office environment; may be required to sit or stand for extended periods of time - May be required to work additional hours and/or outside normal business hours as needed to meet deadlines. - Up to 15% (occasional) travel based on the needs of the department may be required Compensation Range $62,700.00 - $100,400.00. CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package. Compensation Type Salary Organization Level Competencies - Fostering a Collaborative Workplace Culture - Cultivate Partnerships - Develop Self and Others - Drive Execution - Influence Others - Pursue Personal Excellence - Understand the Business This job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.

Role Description Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 110 Machine Learning Engineering and MLOps for the Fall 1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics. This course focuses on the end-to-end ML lifecycle—feature stores, CI/CD pipelines, containerization, and model monitoring emphasizing responsible, scalable deployment. Core Course Responsibilities Summary - Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms. - Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation. - Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe. - Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term. Qualifications - Advanced degree (Masters or Ph.D) in Computer Science, Data Science, or Software Engineering. - Industry experience in MLOPS, ML Platform development, production of ML systems or related fields. - Experience in end-to-end machine learning engineering, including feature engineering, model training, containerization, model monitoring, and responsible deployment practices. - At least 1 year of teaching or training experience (preferably online/asynchronous). - Experience with online instruction. - Excellent communication and teaching skills in an online learning environment. Preferred Qualifications - Prior online teaching experience at the graduate level. - Knowledge of global learner personas and culturally responsive pedagogy. - Familiarity with Moodle LMS and digital authoring tools (e.g., H5P). Application Process - A cover letter highlighting relevant qualifications and teaching experience. - A current CV or resume. - Contact information for three professional references. Application review begins 5/27/2026 though we will continue to accept submissions on an ongoing basis. Compensation Compensation for this position is $6573.15. Pay Range Disclosure The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

Role Description We're seeking an experienced Trainer to develop and deliver training programs that enhance the skills and effectiveness of our Loss Prevention Team. In this crucial role, you'll oversee the onboarding and continuous education of team members, ensuring they are equipped with the knowledge and tools to detect and prevent retail theft efficiently. You'll have the opportunity to refine training strategies and optimize learning resources for a high-impact team. Responsibilities - Design and deliver comprehensive training programs for new and existing team members. - Develop learning materials, guides, and resources to enhance knowledge retention. - Conduct training sessions on loss prevention procedures, AI-based theft detection, and operational best practices. - Monitor and assess training effectiveness, making improvements as needed. - Provide one-on-one coaching and mentoring to enhance team performance. - Collaborate with Operations and Quality Teams to address skill gaps and optimize training content. - Maintain detailed training records and ensure compliance with company policies. Qualifications - Bachelor's degree in Training & Development, Education, or a related field. - Experience in developing and delivering training programs, preferably in loss prevention or security. - Strong facilitation and coaching skills with the ability to engage and motivate learners. - Excellent written and verbal communication skills. - Proficiency in e-learning platforms, Google Suite, and training management systems. - Strong communication skills and ability to work effectively in a remote environment. - Availability to work during US business hours. Requirements - Full-time status (40 hours per week) - Able to work during US Eastern time zone - Salary: Php 40k-50k/month - Location: Philippines Bonus Points - Experience in loss prevention, security, or retail technology training. - Familiarity with AI-driven theft detection tools and methodologies. - Background in instructional design and e-learning development.