Brandeis University

Role Description The Rabb School of Continuing Studies working in collaboration with the Heller School of Social Policy and Management at Brandeis University is seeking an experienced academic and curriculum strategist to design a non-credit, instructor-facilitated hybrid microcredential course (asynchronous structure with student optional weekly synchronous engagement sessions). The course will focus on foundational algorithmic bias, anti-bias strategies in AI, the ethical/policy implications of automated decision-making, and tools for mitigating systemic bias to build trustworthy AI applications. Key Responsibilities - Curriculum & Design: Author and construct the course structure following the Brandeis Online Course Standards, including a Brandeis-compliant syllabus, instructor-led multimedia materials, learning objects, and outcomes-aligned assessments. - Academic Quality: Serve as the subject matter expert responsible for the course's substantive content and pedagogical approach, ensuring alignment with institutional standards and market relevance. - Collaboration & Timeline: Work closely with Brandeis Online staff and instructional designers, strictly adhering to LMS technical requirements and project milestones. Submit drafts progressively for iterative reviews and final approval. Qualifications - Education: Ph.D. or equivalent credentials in AI, Machine Learning, Public Policy, or related fields. - Experience: - Minimum 2 years of professional tech or policy industry experience. - Minimum 1 year of experience designing asynchronous higher education online courses for adult audiences. - Demonstrated expertise in algorithmic bias, Responsible AI (RAI), and technology policy (Preferred). - Technical & Professional Skills: - Proficiency with modern LMS platforms and digital content authoring tools. - Superb structural writing, editing, and cross-functional communication abilities. - Proven capacity to translate complex technical/policy paradigms into accessible, engaging student pathways. 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 Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 120 Experimental Design and Program Evaluation 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 will consist of randomized and quasi-experimental evaluation techniques with attention to ethical experimentation and policy translation. - 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 - Required: - Advanced degree (Masters or Ph.D in Computer Science, Data Science, or Software Engineering) - Professional experience in applied industry in ML engineering, DevOps, and cloud deployment. - Expertise in CI/CD pipelines, containerization, model monitoring, and ethical AI practices, ensuring students gain both technical mastery and practical insight into sustainable ML systems. - 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: - 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) Requirements - 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 July 9, 2026 though we will continue to accept submissions on an ongoing basis. Benefits - 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 Brandeis University’s Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management. This course focuses on enterprise data lifecycle management, data modeling, integration workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility. 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 - Master’s degree in Data Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field - Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture - Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management - Experience working with analytics tools or programming languages used in applied analytics (e.g., Python, R, SQL, Power BI, Tableau) - Minimum 1 year experience developing asynchronous online courses for adult learners in higher education - 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. Requirements - Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field (Preferred) - 5+ years of experience in data architecture, enterprise analytics strategy, data governance, or business intelligence leadership (Preferred) - Professional experience as a Data Architect, Data Engineer, Analytics Director, BI Lead, or Enterprise Data Strategist (Preferred) - Experience with enterprise data governance frameworks and data quality management practices (Preferred) - Industry certifications such as Certified Data Management Professional (CDMP), AWS Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or equivalent (Preferred) - 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 June 1, 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 Brandeis University’s Online Industrial Organizational Psychology Program is seeking an Adjunct Faculty member for RIOP 150 AI and Automation in Talent Strategy for the Fall 2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Industrial Organizational Psychology. This course will explore evidence‑based approaches to: - Diagnosing systemic barriers - Designing Workplace Inclusion and Diversity interventions - Measuring inclusion and belonging - Establishing accountability systems for organizational change 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, Ph.D. or PsyD) in Industrial-Organizational Psychology, Psychometrics, Statistics, Applied Psychology, Human Resource Management (with a quantitative focus), Behavioral Science, Data Science, User Experience, UX/UI Design, Organizational Leadership, Business Administration, or a related field. - Minimum 2 years professional experience within diverse industries or sectors, with a focus on HR/people/workforce analytics, HR business partnering or strategy development (with quantitative focus), talent management (with quantitative focus), organizational development/effectiveness, personnel or workplace research, applied data science or related roles. - Strong knowledge of methods used to build and evaluate listening system architecture including surveys, interviews and focus groups, incorporating ethics, privacy, and legal considerations, utilizing qualitative and quantitative EX research practices including EX journey mapping, storytelling with data, human-centered design frameworks, and rapid prototyping skills, creating EX personas, diagnosing friction points, and leading equitable EX redesigns supported by data. - 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. Requirements - Prior online teaching experience at the graduate level (preferred). - Familiarity with online education platforms and course development tools (preferred). Benefits - Compensation for this position is: $6573.15. - Application review begins June 1, 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 Brandeis University’s Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 135 Technology Innovation, Product Development, and Strategic Leadership for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management. This course explores innovation lifecycles, product design principles, strategic decision-making, and leadership in technology organizations. Students learn to guide innovation initiatives from concept through execution, balancing technical feasibility with organizational impact. 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 - Master’s degree in Technology Management, Innovation Management, Business Administration (technology focus), Information Systems, Engineering Management, or a closely related field. - Minimum 3 years of professional experience in technology innovation, product development, digital transformation, or strategic technology leadership. - Demonstrated experience guiding products or innovation initiatives from concept through launch and lifecycle management. - Experience with product strategy, roadmap development, stakeholder alignment, and cross-functional leadership. - Minimum 1 year experience developing asynchronous online courses for adult learners in higher education. - 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. Requirements - Doctorate (PhD or DBA) in Technology Management, Innovation, Business Strategy, Information Systems, Organizational Leadership, or related field (preferred). - 10+ years of experience in senior technology leadership, product management, innovation strategy, or executive-level decision-making roles (preferred). - Professional experience as a Chief Technology Officer (CTO), Chief Product Officer (CPO), VP of Product, Innovation Director, or similar role (preferred). - Experience with innovation frameworks (e.g., Lean Startup, Design Thinking, Stage-Gate, Agile product development) (preferred). - Industry certifications such as PMP, SAFe Agilist, Certified Scrum Product Owner (CSPO), or equivalent (preferred). - Experience teaching or developing graduate-level online courses (preferred). - 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 review begins June 1, 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 Brandeis University’s Online Industrial Organizational Psychology Program is seeking an Adjunct Faculty member for RIOP 120 Leadership, Teams, and Organizational Behavior for the Fall 2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Industrial Organizational Psychology. This course is designed to examine leadership theories, team dynamics, group decision making, conflict resolution, and organizational culture with application to leadership development and team interventions. 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, Ph.D. or PsyD) in Industrial-Organizational Psychology, Organizational Science/Behavior, Organizational Leadership, Business Administration, Human Resource Management, Instructional Design or a related field. - Minimum 2 years professional experience within diverse industries or sectors, with a focus on organizational learning and development, leadership development, organizational effectiveness, HR business partnering/strategy development, management consulting, talent management or related roles. - Strong knowledge of methods used to diagnose team functioning and develop interventions to improve collaboration and performance, translate leadership theory into measurable development programs, and design interventions to promote psychological safety and continuous learning. - 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. Requirements - Prior online teaching experience at the graduate level (preferred). - Familiarity with online education platforms and course development tools (preferred). Benefits - Compensation for this position is: $6573.15. - Application review begins June 1, 2026, though we will continue to accept submissions on an ongoing basis. - This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509. 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 Brandeis University’s Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 130 IT Operations, Vendor Ecosystems, and Technology Financial Management for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management. This course will provide students with an opportunity to examine the operational, financial, and external-partner dimensions of managing enterprise technology. The course covers: - Vendor governance - Service-level agreements - Financial planning - Cost modeling - Operational maturity frameworks 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 - Master’s degree in Information Systems, IT Management, Technology Management, Business Administration (technology focus), or a closely related field - Minimum 3 years of professional experience in IT operations, technology management, vendor governance, or enterprise service delivery - Demonstrated expertise in IT operations frameworks (e.g., ITIL, COBIT), service management, and operational maturity models - Experience with vendor management, service-level agreements (SLAs), contract oversight, and third-party risk considerations - Experience in technology budgeting, cost modeling, financial planning, or IT financial management (e.g., OpEx/CapEx planning, chargeback models) - Minimum 1 year experience developing asynchronous online courses for adult learners in higher education - 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. Requirements - Doctorate (PhD or DBA) in Information Systems, Technology Management, Business Administration, Public Policy (technology focus), or related field (Preferred) - 5+ years of experience in IT operations leadership, technology portfolio management, or enterprise service governance (Preferred) - Professional experience as a CIO, IT Operations Director, Technology Portfolio Manager, Vendor Management Lead, or similar leadership role (Preferred) - Industry certifications such as ITIL Managing Professional, COBIT, Certified Technology Business Management (CTBM), PMP, or equivalent (Preferred) - Experience teaching or developing graduate-level online courses (Preferred) - 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 June 1, 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 Brandeis University’s Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 110 Systems Automation, Orchestration, and Integration Practices for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management. This course covers automation principles and orchestration methodologies that enhance operational efficiency, consistency, and reliability. Students gain hands-on experience with workflow automation, systems integration, environment provisioning, and deployment lifecycle practices. 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 - Master’s degree in Computer Science, Information Systems, Software Engineering, Systems Engineering, DevOps, or a closely related field - Minimum 3 years of professional experience in systems automation, DevOps practices, orchestration frameworks, or enterprise systems integration - Demonstrated expertise with automation and orchestration tools (e.g., Terraform, Ansible, Kubernetes, Jenkins, CI/CD pipelines, API integrations) - Minimum 1 year experience developing asynchronous online courses for adult learners in higher education - 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. Requirements - Doctorate (PhD or DBA) in Computer Science, Information Systems, Software Engineering, or related field (preferred) - 5+ years of experience in DevOps leadership, platform engineering, automation strategy, or enterprise systems integration (preferred) - Professional experience as a DevOps Architect, Automation Engineer, Site Reliability Engineer (SRE), Platform Engineer, or Integration Architect (preferred) - Industry certifications such as AWS DevOps Engineer, Certified Kubernetes Administrator (CKA), HashiCorp Terraform Associate, Azure DevOps Engineer Expert, or equivalent (preferred) - 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 review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis. - This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509. 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 Brandeis University’s Online Industrial Organizational Psychology Program is seeking an Adjunct Faculty member for RIOP 130 Program Evaluation and Impact Assessment for the Fall 2 1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Industrial Organizational Psychology. This course will consist of using methods for evaluating organizational programs and interventions: - Experimental and quasi‑experimental designs - Mixed methods - ROI and cost‑benefit analysis - Effective reporting to stakeholders 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, Ph.D. or PsyD) in Industrial-Organizational Psychology, Organizational Science/Behavior, Organizational Effectiveness, Business Administration, Human Resource Management, Instructional Design, or a related field. - Professional experience within diverse industries or sectors, with a focus on organizational development/effectiveness, organizational or personnel research, HR/workplace analytics, HR business partnering/strategy development, HR program management, management consulting or related roles. - Strong knowledge of methods used to conduct research in organizational settings, design evaluations that estimate causal impact and quantify program effectiveness, compute and interpret correlations, effect sizes, ROI, and practical significance of results, and communicate evaluation findings to technical and executive audiences. - 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. Requirements - Prior online teaching experience at the graduate level (preferred). - Familiarity with online education platforms and course development tools (preferred). Benefits - Compensation for this position is: $6573.15. - Application review begins June 1, 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 Brandeis University’s Online Health Informatics Program is seeking an Adjunct Faculty member for RHIN 155 Digital Health Equity and Social Determinants of Health (SDOH) for the Fall-2 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 how health technologies can influence access to and utilization of healthcare. It will explore the impacts of the integration of SDOH data into product and analytic design, equity-focused evaluation methods, bias identification and mitigation, and inclusive design practices for underserved populations. 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, Public Health, Health Policy or a related field. - Professional experience in roles within diverse industries or sectors, with a focus on healthcare technology evaluation and assessment, specifically for those in underserved populations. - Strong knowledge of social determinants of health and barriers for marginalized populations. - 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. 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. 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").