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Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Financial Securities Analysis and Portfolio Management. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces students to the study of analyzing information to evaluate financial securities and design investment strategies. This course provides an intensive introduction to major topics in investments and covers topics in theoretical foundation, valuation models and analysis of major asset classes, and the practice of active portfolio management. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in Finance or a related field * Professional experience related to financial securities analysis and portfolio management * Proficiency in Python; e.g. using libraries for data manipulation, statistical analysis, machine learning implementations, and data visualization. Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Excellent written and oral communication skills with the ability to present complex material to students unfamiliar with a subject Additional Information Salary: $13,374.97 per semester length course. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional Master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University, School of Professional Studies (SPS) seeks candidates to serve as part-time Lecturers to participate on the faculty team for a graduate level Capstone course: Solving Real World Problems with Analytics. This course is the culminating experience for graduate students in our Applied Analytics Master of Science degree program. Students apply their academic learning to a real-world challenge by participating in a consulting engagement with a leading corporate or institutional project sponsor. Capstone sponsors span industry sectors including finance, healthcare, consumer retail, digital media, non-profit. Sponsors include large global companies, startups, and nonprofits. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. Responsibilities • Attend all class sessions. Weekly instructional sessions will be held on one of the following: Wed 6:10-8 PM ET, Thurs 6:10-8 PM ET, Thurs 8:10-10 PM ET., • Serve as a mentor and coach to students and a liaison with corporate project sponsors. Participate in meetings with sponsor companies & student project team., • Monitor and address student concerns and inquiries., • Conduct weekly office hours., • Serve as a liaison between students and corporate project sponsors. Participate in meetings with sponsor companies & student project teams., • Evaluate and grade student work and assessments.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in an academic area related to data analytics. * 7+ years of professional experience in roles related to data analytics. * Strong technical skills - especially proficiency with R and Python programming. * Consulting experience, working with either external or internal clients. Preferred Skills & Experience * 2+ years of teaching experience, ideally at the graduate level. Additional Information Salary: $12,985.42 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description We are seeking a Quantitative Researcher with 3+ years of experience to join a Systematic Macro Portfolio Manager at Capula. This is a high-impact role that sits directly within the PM’s investment group, with a particular focus on systematic strategies involving credit indices (e.g., CDX, iTraxx) and credit ETFs. Key Responsibilities: • Develop and enhance models for relative value trading and alpha generation across credit indices and credit ETFs., • Analyse credit market dynamics, including spread behavior, roll-downs, and liquidity patterns., • Implement tools to support signal generation, factor decomposition, and portfolio risk attribution., • A high-impact role with direct visibility to the trading desk and influence on real-time decision-making., • An intellectually stimulating environment with a strong culture of collaboration and curiosity, where innovation and creativity are encouraged., • We are looking for individuals who thrive on intellectual challenges and enjoy applying their analytical skills to complex problems. You are curious, driven, and excited by the prospect of making a tangible impact in the world of quantitative finance., • Have graduated with a masters or PhD in a highly quantitative discipline (e.g. Physics, Mathematics, Statistics, Engineering or another quantitative field), • A consistently strong academic record, • Strong Maths foundations (probabilities, statistics, analysis, linear algebra) and solid Programming Skills, • At least 3 years’ experience in quantitative research or strategy development, ideally within credit or macro trading environments., • Solid understanding of credit index products (e.g. CDX, iTraxx), credit ETFs, and related market structure., • Advanced proficiency in Python and experience working with time series and financial market data., • Master’s or PhD in a quantitative field (e.g., statistics, physics, applied mathematics). Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include: • A highly competitive base salary and discretionary bonus structure, reviewed annually, • 20 days of paid annual leave, plus public holidays, • Comprehensive medical and dental insurance, along with other core employee benefits, • Exceptional training, mentoring, and staff development opportunities to support continuous professional growth, • Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility, • Onsite breakfast, lunch, and dinner provided daily in our employee restaurant, • Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through nineteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach Technology Integration in Project Management, a core course in the school’s new M.S. in Project Management program. The program equips individuals with the strategic, analytical, and leadership skills essential for a successful career managing complex projects across industries and borders. The course of Technology Integration in Project Management explores the integration of technology into modern project management, equipping students with the skills to navigate digital transformation and technology adoption in complex project environments. Students will gain hands-on experience with project management information systems (PMIS) and enterprise platforms such as MS Project, Asana, Trello, SAP, and Oracle Primavera, while also learning to leverage AI, automation, and data analytics tools like Power BI to enhance decision-making and performance monitoring. The course emphasizes the use of agile and hybrid methodologies supported by tech-enabled tools, preparing students to lead projects with efficiency, adaptability, and innovation in digitally driven organizations. Responsibilities * Lead in-person class lectures, instructional activities, and classroom discussions * Evaluate student work and grade assignments * Monitor student concerns and inquiries, and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Project Management faculty meetings * If assigned to design the course, responsibilities also include: * Develop course objectives that align with program-wide learning outcomes * Create activity maps tying course activities to objectives, ensuring industry relevance * Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI). * Collaborate with Instructional Design to develop course materials through a consultative process. This includes partnering on course development (aligning objectives, materials, and assessments), creating dynamic instructional media (videos, infographics, and interactive resources), maintaining established courses with updates and troubleshooting, and receiving just-in-time assistance for targeted needs. Serving as an adjunct Lecturer provides an outstanding opportunity to educate and mentor students in the field of project management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied professional setting. Requirements * A master’s degree in engineering (e.g., civil, mechanical, or industrial), construction management, project management, operations research, technology management, business analytics, or data science (with a project management focus) * At least 8 years of experience in roles such as IT Project Manager, Technology Consultant, Digital Transformation Lead, or Systems Engineer * Hands-on experience with software selection, implementation, and integration in a project setting * Experience in cross-functional technology deployment across sectors (e.g., construction, manufacturing, tech, services) * PMP or equivalent certifications preferred * A passion for teaching, strong interpersonal and communication skills, and the ability to connect academic material to contemporary industry practices. Preferred Skills & Experience * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience Additional Information Compensation Range - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through nineteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Due to expanding enrollment, the School of Professional Studies’ M.S. in Information & Knowledge Strategy (IKNS) program is seeking additional adjunct lecturers to teach our course Digital Workplace & Digital Transformation (online synchronous or in-person) starting in the spring 2026 term. Scholar-practitioners with relevant academic and industry experience are invited to apply. The course is taught synchronously online (via Zoom) or in-person. It is a required course in the IKNS curriculum and is meant to provide future organizational leaders with a foundational understanding of digital transformation and the technologies and organizational challenges shaping the modern workplace. More details on the course can be found here. Serving as an adjunct lecturer provides a unique opportunity to educate and mentor students aspiring to a career in information science as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Candidates should have a demonstrated understanding of academic and applied trends that are driving best practice in the field. Responsibilities * Attend all online or in-person class sessions (class generally meets one evening per week for up to 2 hours), conduct the lectures, and lead classroom administration. * Prepare course materials, including the oversight of the course Canvas webpage (learning management system), weekly presentations, curation of class readings, etc. * Monitor student concerns and inquiries; conduct office hours. * Evaluate and grade student assignments (teaching assistants will be provided). Minimum Degree Required * Master’s degree in a field broadly related to the IKNS curriculum. * Doctoral degree preferred. Schedule * The class sections will meet online or in-person once a week (110 minutes) in the late afternoon or early evening, from mid-January to late April. The weekday and exact time when the class will meet has yet to be decided and will be based on student needs and instructor availability. Qualifications Required * Previous experience in teaching semester long courses at the graduate level. * Extensive knowledge of best-practice frameworks to design and manage digital transformation projects and related KPIs, including budgeting, deployment, and change management. * Extensive knowledge of digital workplace-related issues in modern organizations (hybrid work environments, online collaboration tools, agentic AI, etc.). * First-hand experience of having led organizations through the above experiences. Preferred Skills/Experience: * First-hand experience includes digital workplace and digital transformations both pre and post genAI. * Proven scholarly work and/or public thought leadership in the above areas. Additional Information Compensation $15,000 - $17,000 (for the semester) Application Process * Review of applications begins immediately and will continue until the position is filled. * All applicants, please provide: * Resume/CV, inclusive of university teaching experience at the graduate level. * A cover letter (please include whether you are available to teach online (synchronous), in-person, or both) * If available, please submit any evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.). Note: To comply with the University's Policy on Fully Remote Work, candidates for the role must reside in New York or a contiguous state (Connecticut, Massachusetts, New Jersey, Pennsylvania, or Vermont) or a state or territory in which the University is registered (Arizona, California, Colorado, Delaware, Florida, Georgia, Hawaii, Illinois, Maryland, Montana, Oklahoma, Vermont, Virginia, Washington, or Washington D.C.). Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionDecision Science (DS) Analyst/Associate Positions • Are you looking for a consulting opportunity that uses your analytical skills, predictive modeling, and AI/ML?, • Does the thought of working with emerging trends and applying AI and GenAI best practices excite you?, • Is working in a collaborative culture with some of the brightest minds in the data analytics industry a goal?If you answer yes to any of these questions, read on and learn about Axtria's DS Opportunities Why Axtria? Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth. What's in it for you? Growth! Advancement of your analytical, technical, and AI skills. A high performance culture of doing the RIGHT thing. Analysts and Associates in our Decision Sciences (DS) Business work in teams that provide advance analytics, AI-driven insights and solutions to solve complex business problems for our clients in the Life Science Industry. Our DS professionals are oriented towards coding and AI implementation. They create and apply algorithms, build AI/ML models, use quantitative modeling and GenAI solutions to advise clients and help them make strategic and tactical decisions to achieve their business objectives. Potential Responsibilities may include (but not limited to) any of the following activities: • Conduct simple and advanced data analyses that help clients improve their patient health outcomes, • Build AI/ML models including machine learning algorithms, deep learning solutions, and GenAI applications, • Evaluate and recommend AI solutions for client business problems, assessing feasibility, ROI, and implementation approaches, • Develop statistical models and algorithms to predict and analyze key business metrics and trends, • Apply AI/ML, advanced statistical econometrics, and optimization models to real-world business problems, • Design and implement GenAI pipelines using LLMs, natural language processing, and multi-agent systems, • Work with a wide variety of modeling techniques, such as regression analysis, machine learning algorithms, clustering, neural nets, random forests, and deep learning algorithms, • Stay current with industry trends in AI, GenAI, predictive modeling and data science techniquesAbout You, • Working towards a Bachelors/Masters preference given to: Data Science, Computer Science, Business Analytics, Economics, Mathematics, Applied Mathematics, Statistics, and any Engineering Major, • AI/ML Knowledge: Understanding of machine learning concepts, algorithms, and their practical applications, • Programming Skills: Proficiency or strong foundation in Python, SQL, R - Excel skills required, • AI Tools: Familiarity with AI/ML frameworks (TensorFlow, scikit-learn, PyTorch) and GenAI tools preferred, • Must have strong communication skills, comfortable presenting concepts and recommendations to both technical and non-technical audiences, • Problem-solving mindset: Obsessed with working through and solving a wide variety of problems using analytical and AI approaches, • Dedicated team players who enjoy collaboration with the primary goal of "getting it done", • Interest in life sciences industry and improving patient outcomes through AI-driven solutions, • Graduating between December 2025 and June 2026 Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $70,000 to $85,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. Powered by JazzHR 7mjZ4vOmi0

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Artificial Intelligence of Things (AIOT). This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies. Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). * 7+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT). * Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization * Strong knowledge of AI fundamentals and experience with machine learning applications * Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos. Preferred Skills & Experience * University teaching experience, especially in graduate or professional programs. * University teaching experience in project-based or lab-based courses. * Proficiency with MicroPython for device programming * Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal * Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns. * Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent). Additional Information Salary: $13,374.98 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Analytics for Cybersecurity Management. This course offers a comprehensive introduction to core cybersecurity principles, encompassing network security, threat detection, and vulnerability management, while highlighting how emerging techniques in AI and machine learning can transform modern defense strategies. Students will explore key frameworks, advanced tools, and real-world case studies, gaining insight into how analytics underpins effective threat intelligence, incident response, and regulatory compliance. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a quantitative disciplinary area * 3+ years of professional experience in roles such as Security Operations (SOC), Threat Intelligence, Incident Response, Security Engineering, Vulnerability Management, Cloud Security, or Applied Data Science/ML for security within industries like technology, finance, healthcare, consulting, or government. * Python proficiency for data parsing/ETL, log analysis, and basic analytics (e.g., pandas, simple scikit-learn workflows). * Comfort with shell scripting (PowerShell and/or Bash) and core OS tools for processes, networking, and files. * Strong communication and feedback skills for guiding graduate students; dependable, organized, and detail-oriented Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Experience with cloud security (IAM, least privilege, security groups, logging) and common tools (e.g., CloudTrail/Defender for Cloud). * Familiarity with SOAR concepts/workflows and alert triage/runbooks. * Practical knowledge of security/privacy frameworks and regs (e.g., NIST CSF, HIPAA, GDPR) and ethical handling of sensitive data. * Experience supporting course operations (Canvas/LMS, rubric-based grading, timely feedback, academic integrity processes, managing small-group activities). * Track record of mentoring early-career professionals or graduate students and collaborating in diverse, remote teams. Additional Information All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job Description $5,000 Signing Bonus!! We will provide you with a relocation stipend!! Role: Board Certified Behavior Analyst (BCBA) Location: You can work at one of our Georgia centers. We will provide you with a generous relocation stipend! Target Earnings: CS1: $94,000.00; CS2: $98,000; CS3: $102,000; Sr. CS-1: $107,000; Sr. CS-2: $115,000 Base Salaries: $90,000-$100,000; based on experience Schedule: Monday-Friday, 8:00 am - 5:00 pm About Apollo Behavior: Apollo Behavior is the premier provider of ABA therapy in metro Atlanta, and the largest ABA provider based in Georgia. We are focused on being the best, and have heavily incorporated relational frame theory into our clinical model. At Apollo, excellence is not an anecdote - we have a ~25% annual client graduation rate, and many of our clients enter mainstream educational settings. We embrace a servant leadership model and work hard every day to empower our team to do their best work and be their best selves. We are dedicated to ensuring that our team enjoys a fun, collaborative, non-bureaucratic culture and maintains a healthy work-life balance. To learn more, please visit our website at: Role: BCBA and Case Supervisor Apollo Behavior is looking for BCBAs for our center-focused applied behavior analysis services in the metro Atlanta area. This is a great opportunity for someone who wants to do great work with other excellent clinicians, be a part of a fun and collaborative culture, and maintain an ethical caseload and work/life balance. Your typical day might include: • Providing clinical consultation and overseeing treatment programming for our staff and clients, • Collaborating with parents or other caregivers to ensure client progress is sustained long-term, • Developing and leading other team members, • Learning about and implementing innovative ABA methods, such as Relational Frame Theory / RFT, • You are a leader who has passion and vision, • You value the opportunity to develop your clinical and managerial skills with mentorship provided by the leading minds within the ABA field, • You are an excellent clinician, a great manager, and a collaborator with client caretakers, • You love to see the results of your work improving the lives of your clients, • You love to lead and develop other clinicians so we can all ensure our clients achieve their full potential, • $5,000 Signing Bonus, • Relocation Reimbursement Assistance, • $1,500 CEU and Travel Reimbursement, plus three additional paid CEU days, • 19 Paid Days Off per year (including 9 paid holidays), • 2 WFH days per month, • Billable starting at 20 hours a week, • Comprehensive Health, Life, Vision, and Dental Insurance, • 401(k) with Company Match, • A master's degree in psychology or a related field, • Strong competency in a range of skill acquisition and behavior reduction techniques, • Success leading and managing direct care clinical team members

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through nineteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach various in-person courses in the school’s new M.S. in Project Management program. The program equips individuals with the strategic, analytical, and leadership skills essential for a successful career managing complex projects across industries and borders. The Project Management program’s curriculum can be found here. Candidates should indicate in a cover letter areas of subject matter expertise and which of the following five core courses they would be interested in or qualified to teach: * Project Management Fundamentals - Core principles, frameworks, and methods for managing projects effectively * Project Planning, Scheduling, and Control - Foundations of project planning, critical path, and performance monitoring * Finance and Accounting for Managers - Financial principles applied to project management * Leadership and Team Dynamics - Principles of leadership, collaboration, and high-performance team management * Capstone - A real-world project-based capstone synthesizing learning across the curriculum Responsibilities * Lead in-person class lectures, instructional activities, and classroom discussions * Evaluate student work and grade assignments * Monitor student concerns and inquiries, and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Project Management faculty meetings * If assigned to design the course, responsibilities also include: * Develop course objectives that align with program-wide learning outcomes * Create activity maps tying course activities to objectives, ensuring industry relevance * Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI). * Collaborate with Instructional Design to develop course materials through a consultative process. This includes partnering on course development (aligning objectives, materials, and assessments), creating dynamic instructional media (videos, infographics, and interactive resources), maintaining established courses with updates and troubleshooting, and receiving just-in-time assistance for targeted needs. Serving as an adjunct Lecturer provides an outstanding opportunity to educate and mentor students in the field of project management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. * A master’s degree in accounting, architecture, business management, engineering, project management or other related disciplines * At least 15 years of industry experience with a focus on project management and leadership in complex organizational environments * Strong communication and problem solving skills and an ability to multi-task Preferred Skills & Experience * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience * Professional project management certifications (PMP, PRINCE2, etc.) Additional Information Compensation Range - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter indicating the Project Management courses that the applicant is interested in or qualified to teach and areas of subject matter expertise * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through nineteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach various courses in the school’s M.S. in Political Analytics program. The program combines politics with advanced quantitative methods to enhance data skills that will drive decision-making and communicate effectively about data and politics. The program’s curriculum can be found here. Candidates should indicate in a cover letter, areas of subject matter expertise and what type of course they would be interested in or qualified to teach. Examples of current courses taught include: • Big Data & Political Strategy, • Campaign Finance & Fundraising Analytics, • Data Science for Political Analytics Responsibilities • Lead in-person class lectures, instructional activities, and classroom discussions, • Evaluate student work and grade assignments, • Monitor student concerns and inquiries, and be the first point of contact for student questions, • Hold weekly office hours, • Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses, • Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system), • Attend Political Analytics faculty meetings, • If assigned to design the course, responsibilities also include:, • Develop course objectives that align with program-wide learning outcomes, • Create activity maps tying course activities to objectives, ensuring industry relevance, • Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI) Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to political science, data science, quantitative methods or related field, • 10+ years of professional experience in a role involving political analytics, • Knowledge of statistics, econometrics, quantitative analysis or related techniques, • Knowledge and familiarity with analysis software (e.g. R), • Doctoral degree or equivalent in a relevant field, • Prior experience with electoral campaigns, policy-making initiatives, advocacy efforts, or lobbying operations, • University teaching experience, ideally at the graduate level Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: • A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level, • A cover letter indicating the courses they would be interested in or qualified to teach, areas of subject matter expertise, and availability to teach in-person Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University’s Master's in Applied Analytics program seeks experienced industry professionals to serve as a part-time Lecturer for a graduate-level course in Managing Data. The Managing Data course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes, and organizational prerequisites needed to overcome challenges to ensure data quality. Responsibilities * Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate, grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree or equivalent required, in an area related to data science, statistics, computer science, or another discipline that provided rigorous training in quantitative analytics. * Knowledge of databases, topics in Big Data, and Data Analysis. * Knowledge of SQL and NoSQL databases. * Knowledge of Python and Spark. * 10+ years of related applied professional experience. Preferred Skills & Experience * Knowledge of MapReduce strongly desired. * Other software or programming languages like R and Tableau. * Statistical and Machine learning knowledge. * University teaching experience. Additional Information * Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Mathematics for AI. This course equips students with essential mathematical foundations for understanding and working with artificial intelligence (AI) algorithms. By the end of this course, students will possess a strong mathematical toolkit to confidently tackle the complexities of modern AI algorithms. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a quantitative disciplinary area * Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. Additional Information Salary: $10,000 - $13,000 per semester-length course All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach a graduate-level course in AI User Interfaces for Analytics. The course delivers a comprehensive understanding of the principles of UX design, as well as techniques and best practices for developing user interfaces (UIs). Students will learn how to create intuitive, interactive, and visually engaging websites and dashboards surfacing AI-generated insights. The curriculum covers the entire process from design and implementation to the evaluation of UIs. Students gain hands-on experience with web development technologies, such as HTML, CSS, JavaScript, and related cloud services. Additionally, the course integrates apply state-of-the-art AI technologies for creating intelligent and interactive UIs. Responsibilities • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions (classes generally meet once per week for up to 2 hours)., • Monitor and address student concerns and inquiries., • Evaluate, grade student work and assessments., • Conduct office hours.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Information Technology, or related discipline, • Proficiency in HTML/CSS, JavaScript, and Python, • Good understanding of UX design and data visualization principles, • 10+ years of related professional experience., • 2+ years of University teaching experience, ideally at the graduate level, • 2+ years of experience with cloud services on AWS, GCP, or Azure, • Any experience applying generative AI models for visualization Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary: $13,374.97 per semester length course

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is reimagining how knowledge is shared. They’re building a new medium for human connection: interactive digital minds that people can talk to, learn from, and be guided by. The internet gave us static profiles and infinite feeds, they create something profoundly different: living, interactive identities that carry your voice, judgment, and worldview into every conversation. People don’t just read about you, they experience how you think. Their mission is bold and generational in scope: * Make human wisdom abundant, personalized, and discoverable. * Preserve legacies, unlock opportunity, and scale brilliance across generations. Trusted by thousands of the world’s most brilliant thinkers from Simon Sinek to Arnold Schwarzenegger and have tripled revenue, users, and mind interactions in the past six months, all organically. Backed by Sequoia Capital, Founders Fund, Lux Capital, and visionary angels including Michael Ovitz, Gokul Rajaram, and Olivia Wilde, they’re now scaling rapidly toward the next frontier of AI-driven human expression. Location:Jackson Square, San Francisco Work type: Fully on-site, 5 days a week Compensation: Above-market base + equity + benefits Visa: Sponsorship available only for candidates already in the United States The Role As an Applied AI Engineer, you’ll help architect the foundation of next-generation Mind Architecture, the system that powers how digital minds learn, reason, and express individuality. Unlike traditional RAG systems that treat data as a static collection of documents, we build rich, hierarchical knowledge graphs that mirror how real experts think capturing not just facts, but relationships, reasoning styles, and conceptual depth. You’ll work at the intersection of graph systems, LLM reasoning, and scalable AI infrastructure, bringing together symbolic structure and neural intelligence to redefine how knowledge lives digitally. What You’ll Do Knowledge Graph & Mind Architecture * Design and evolve the graph-based architecture that models a mind’s reasoning, associations, and conceptual hierarchies. * Develop novel embeddings and contextual retrieval methods that make each mind distinct not just accurate, but alive. RAG & Context Innovation * Build next-generation retrieval-augmented generation systems that integrate structured graph reasoning with neural retrieval. * Implement and refine LLM evaluation frameworks to ensure each mind improves over time in quality, consistency, and individuality. Applied AI & Performance * Push the performance of frontier LLMs through advanced prompt engineering, dynamic context shaping, and evaluation-driven iteration. * Architect efficient, low-latency inference pipelines for thousands of simultaneous mind interactions. Systems & Product Integration * Bridge ML systems and product engineering shipping AI-powered features that shape user experience directly. * Translate abstract research ideas into robust, scalable production systems powering thousands of live digital minds. Evals & Personalization * Define success metrics for “mind quality” advancing tone, style transfer, and reasoning fidelity. * Build systems that continuously refine a digital mind’s authenticity and expressiveness. What You Bring Core Expertise * 46+ years of experience in AI or ML engineering, with at least 12 years hands-on with LLMs in production. * Proven track record of building and deploying ML-powered systems that directly impact end-user experience. * Strong Python expertise, including asynchronous programming, event loop optimization, and performance tuning. * Experience with retrieval-augmented generation (RAG), context engineering, and LLM eval frameworks. * Deep practical understanding of how LLMs reason, how to structure inputs, and how to measure improvement. Preferred / Bonus * Experience with graph databases or graph-based retrieval (Neo4j, ArangoDB, or custom-built graph layers). * Background in document understanding, embeddings, or multimodal context assembly. * Familiarity with AWS, distributed systems, and scalable backend architecture. * Hands-on experience fine-tuning LLMs or building adapters for tone/style adaptation. You are a great fit if, * You thrive on hard problems and are motivated by impact over title. * You’re comfortable building at the intersection of research, product, and systems engineering. * You have an engineer’s rigor, a creator’s imagination, and a philosopher’s curiosity. Benefits * Unlimited Learning Stipend: books, courses, or conferences of your choice. * Comprehensive Health, Dental, and Vision coverage. * 401(k) via Human Interest. * Relocation assistance to San Francisco (if applicable). * A creative, high-agency culture that celebrates curiosity and deep thinking. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Document processing: [

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through eighteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach various courses in the school’s M.S. in Technology Management program. The program provides technology professionals at all stages of their career - from recent graduates to more seasoned professionals - with the key strategic and tactical skills necessary to drive enhanced organizational performance and innovation through the use of technology and to become leaders in the field. The program’s curriculum can be found here. Candidates should indicate in a cover letter areas of subject matter expertise and which courses they would be interested in or qualified to teach. They should also indicate whether they are interested in teaching online (synchronously) or in-person. Responsibilities * Lead in-person and/or online class lectures, instructional activities, and classroom discussion * Evaluate student work and grade assignments * Monitor student concerns and inquiries and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Technology Management faculty meetings * If assigned to design a course: * Develop course objectives that align with program-wide learning outcomes * Create activity maps tying course activities to objectives, ensuring industry relevance * Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI). * Collaborate with Instructional Design to develop course materials through a consultative process. This includes partnering on course development (aligning objectives, materials, and assessments), creating dynamic instructional media (videos, infographics, and interactive resources), maintaining established courses with updates and troubleshooting, and receiving just-in-time assistance for targeted needs. * Serving as an adjunct Lecturer provides an outstanding opportunity to educate and mentor students in the field of technology management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in IT (e.g., computer science, software engineering, AI), business management, finance, or other related disciplines * At least 15 years of industry experience with a focus on driving digital transformation and innovation processes in large corporations * Strong communication and problem solving skills and an ability to multi-task Preferred Qualifications * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. Please Note: To comply with the University's Policy on Fully Remote Work, candidates for the role must reside in New York or a contiguous state (Connecticut, Massachusetts, New Jersey, Pennsylvania, or Vermont) or a state or territory in which the University is registered (Arizona, California, Colorado, Delaware, Florida, Georgia, Hawaii, Illinois, Maryland, Montana, Oklahoma, Vermont, Virginia, Washington, or Washington DC). All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter indicating the Technology Management courses they would be interested in or qualified to teach, areas of subject matter expertise, and whether they are interested in teaching online (synchronously) or in-person * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) Your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through eighteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Columbia University School of Professional Studies seeks industry professionals for the role of adjunct lecturer to develop and teach Artificial Intelligence and Machine Learning for Technology Leaders, a core course in the school’s M.S. in Technology Management program. The program provides technology professionals at all stages of their careers - from recent graduates to more seasoned professionals - with the key strategic and tactical skills necessary to drive enhanced organizational performance and innovation through the use of technology and to become leaders in the field. The program’s curriculum can be found here. Generative AI marks a defining technological shift with far-reaching consequences for the global economy and contemporary society. Artificial Intelligence and Machine Learning for Technology Leaders examines the decades-long evolution of artificial intelligence and machine learning, highlighting their rise as both an economic driver and a strategic imperative. Students will explore AI’s potential to transform industries, expand organizational capabilities, and surface complex challenges around security, identity, and ethics. In today’s rapidly changing landscape, both established enterprises and governments must adapt quickly to the disruption and transformation AI brings. This course equips students with the critical knowledge to navigate the catalysts of this technological surge, understand its foundational principles, and develop the leadership mindset required to thrive in the AI era. Responsibilities * Lead in-person and/or online class lectures, instructional activities, and classroom discussion * Evaluate student work and grade assignments * Monitor student concerns and inquiries and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Technology Management faculty meetings Serving as an adjunct lecturer provides an outstanding opportunity to educate and mentor students in the field of technology management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in IT (e.g., computer science, software engineering, AI), business management, finance, or other related disciplines * Significant leadership roles with major corporations or consulting industry related to Technology Management focused on Digital Transformation and recent AI integration * Strong communication and problem solving skills and an ability to multi-task Preferred Skills & Experience * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter detailing detailing their suitability to teach the course and whether they are interested in teaching online (synchronously) or in-person * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job Description SR ASSOCIATE – ANALYTICS ENGINEER, CLIENT INTELLIGENCE BBR Partners is a boutique wealth management firm providing customized investment strategies and bespoke advice to high-net-worth individuals and families. Our clients are comprised of the brightest minds in the financial and investing worlds, entrepreneurs, business owners, leaders, and influential families who entrust us with the holistic care of their fiscal well-being. The firm was founded in early 2000 and for over 20 years has nurtured our culture with talented people from diverse backgrounds who care about each other, our clients, and our collective communities. In our quest for continuous improvement, we strive to develop not only world class talent, but world class humans! POSITION OVERVIEW BBR Partners is seeking an Analytics Engineer to join our Client Intelligence team. This role will design and build scalable data infrastructure that powers client reporting and analytics for our Advisory business. You'll work at the intersection of data engineering and business requirements, building pipelines, APIs, and automation that deliver sophisticated client insights at scale. Reporting to our Head of Client Intelligence, you'll collaborate closely with our Data Engineering and Software Development teams to leverage shared platform capabilities while owning the technical solutions specific to client deliverables. This is a high-impact role with direct visibility into the ways we serve our clients. RESPONSIBILITIES Analytics Engineering • Design and build data pipelines using Airflow and dbt to automate client reporting processes, • Develop API wrappers and services for client-specific data access and configuration management, • Build and maintain derived datasets, metrics, and aggregations for client portfolio analytics, • Collaborate with our core Data team to consume canonical APIs and datasets from various Cloud platforms, • Implement data quality checks and validation frameworks for client-facing deliverables, • Partner with our Software Development team to build highly tailored applications to drive analytics, • Translate Advisory team requirements into technical specifications and scalable solutions, • Design allocation and mapping frameworks that allow for top-level and drill-down analysis across custom domains., • Develop client-facing metrics and analytics using Python and Jupyter notebooks, • Support ad-hoc analysis requests from Advisory team when needed, • Integrate with third-party SaaS platforms (including Seismic) to deliver client materials, • Establish patterns and best practices for maintainable, scalable client reporting solutions Technical Skills • 3-5+ years of experience building production data pipelines and automation, • Strong proficiency in Python for data engineering and analysis, • Experience with modern orchestration frameworks (Airflow strongly preferred), • Advanced SQL skills and experience with data transformation tools (dbt strongly preferred), • Familiarity consuming data via API (REST) endpoints, • Familiarity with cloud data warehouses (Snowflake preferred), • Experience integrating with or configuring enterprise SaaS platforms, • Background in financial services, wealth management, or client-facing analytics, • Experience with BI/visualization platforms (Power-BI, Tableau), • Opportunity to collaborate with accomplished colleagues in an entrepreneurial and fast-paced environment., • Competitive base salary and incentive compensation., • Company subsidized health, dental and vision insurance for employee, partner, and dependents., • 401K plan, Life insurance, and short & long-term disability coverage., • One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings., • Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care., • Personalized development and career opportunities., • Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure., • Hybrid remote work environment, "Work from Anywhere" weeks, and casual dress.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking professionals to serve as a part-time Adjunct Associate for a graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts. An Adjunct Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Adjunct Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to applied analytics such as statistics, economics, mathematics, etc., • Solid knowledge and academic foundation in statistics., • Deep understanding of machine learning concepts and algorithms., • Proficiency in R and Python programming., • Teaching experience, ideally at the graduate level., • Proficient in JavaScript Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary: $3,343.74 per semester-length course

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Associate for a graduate-level course in Cloud Computing. An Associate is a faculty line junior to a Lecturer who provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in Computer Science, Software Engineering, or related field * Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate level course on AI User Interfaces for Analytics. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requestQualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in Computer Science, Information Technology, or related discipline, • Proficiency in HTML/CSS, JavaScript, and Python, • Good understanding of UX design and data visualization principles, • 3+ years related professional experience., • University teaching experience., • Experience with cloud services on AWS, GCP, or Azure, • Any experience applying generative AI models for visualization Additional Information Salary: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Artificial Intelligence of Things (AIOT). An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies. Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation. Responsibilities * Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. * Evaluate, grade student work and assessments as requested by the course Lecturer. * Monitor and address student concerns and inquiries. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). * 2+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT). * Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization * Strong knowledge of AI fundamentals and experience with machine learning applications * Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos. Preferred Skills & Experience * University teaching or TA experience, especially in graduate or professional programs. * University teaching/TA experience in project-based or lab-based courses. * Proficiency with MicroPython for device programming * Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal * Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns. * Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent). Additional Information Salary: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate level course on Mathematics for AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to applied analytics, data science or another discipline which provided rigorous training in quantitative analytics Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience • University teaching experience. Additional Information Salary: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Analytics for Business Operations Management. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. This course teaches students how to apply analytical techniques to optimize operational decision- making, improve efficiency, and solve real-world challenges in operations management. Students will develop practical skills in topics such as process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. The course integrates lectures and coding exercises to ensure a balance between conceptual learning and practical application across multiple industries. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requested by the course Lecturer., • Monitor and address student concerns and inquiries.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements • University teaching experience., • Experience applying Python to real-world operations management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Salary: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Under the supervision of the Behavioral Health Supervisor, the Medicaid Assisted Treatment Program Counselor engages the patient in the initial and ongoing treatment processes of the clinic.Conducts a preliminary assessment of eligibility, prepare intake forms, see that the patient is afforded neede

While candidates with applied and research interests in childhood trauma are especially encouraged to apply, we also welcome applicants with expertise in other areas of school and community psychology. While candidates with applied and research interests in childhood trauma are especially encouraged

Anticipated Opening Leave of Absence Behaviorist Early Childhood Center @ Forest Glen Effective Dates: December 9, 2025 - June 12, 2026 QUALIFICATIONS: New Jersey Certification; BCBA Certified (will be considered with experience), must have experienc Behavior, Healthcare, Education.

At Hofstra University, intellectual curiosity is not just aspirational – it is central to how we engage on a daily basis.Hofstra faculty work within a diverse scholarly community committed to student success, intellectual discovery, free inquiry, inclusivity, and collaboration.Enrolling more than

The Academic Enrichment Facilitator will work with the Program Director and participants by providing supports during after school time.The Academic Enrichment Facilitator will also be expected to participate in action planning with any children that may need additional supports.The Academic Enrichm

Founded in 1841, Fordham is the Jesuit University of New York, offering an exceptional education distinguished by the Jesuit tradition to more than 16,000 students in its nine colleges and schools.It has residential campuses in the Bronx and Manhattan, a campus in West Harrison, N.Louis Calder Cente

In this role, the Board Certified Behavior Analyst (BCBA) will conduct comprehensive assessments, analyze data, and ensure evidence-based interventions are applied effectively.

United Therapy Solutions is hiring a Board Certified Behavioral Analyst for our full-time, school-based position!.United Therapy Solutions is a New Jersey based pediatric therapy company exclusively servicing NJ school districts and their families.Our management team is comprised of school-based the

Applied Behavior Analysis (ABA)!.

The Department of Psychiatry is seeking a NY state licensed clinical psychologist to join the Lieber Recovery Clinic, a service within the CUIMC Psychiatry Faculty Practice Organization (FPO) in Manhattan.This is a full-time, clinical position in an outpatient service dedicated to helping people wit

The Bilingual Pediatric Psychologist will:.The role of the Bilingual (Spanish/English).The first level of service will focus on provision of supervised services to clients of the Central New Jersey Regional Child Protection Center.These services include assessment of children and their families impa

The ITM Service Provider is responsible for providing interventions that support the well-being and safety of youth participating in the campus programming.Services will include Community Psychiatric Support and Treatment as well as Psychosocial Rehabilitation.The ITM Service Provider will support c

Board Certified Behavioral Analyst (BCBA).Board Certified Behavioral Analyst (BCBA) Duties and Responsibilities:.Observing patients and assessing their behavior.Meeting with families, teachers, or doctors to discuss the patients treatment and progress and recommend ways to address behavioral issues.

Master's degree in applied behavioral analysis, psychology, or education.

The Bilingual Pediatric Psychologist will:.The role of the Bilingual (Spanish/English).The first level of service will focus on provision of supervised services to clients of the Central New Jersey Regional Child Protection Center.These services include assessment of children and their families impa

D Printing & Design Teacher (Part Time).Under the supervision of the Director of Educational Development, plans and facilitates collaborative 3D printing & design instructional sessions using a variety of design tools.Meets regularly with the Director of Educational Development.Plans and facilitates

The Bilingual Pediatric Psychologist will:.The role of the Bilingual (Spanish/English).The first level of service will focus on provision of supervised services to clients of the Central New Jersey Regional Child Protection Center.These services include assessment of children and their families impa

Exciting opportunity for an early- to mid-career licensed (or license eligible) Clinical Psychologist, or Social Worker, to teach family medicine and pediatric residents in an academic setting.This position is full-time with excellent benefits and possibility of faculty appointment in Albert Einstei

The Academic Enrichment Facilitator will work with the Program Director and participants by providing supports during after school time.The Academic Enrichment Facilitator will also be expected to participate in action planning with any children that may need additional supports.The Academic Enrichm

Masters degree in Applied Behavior Analysis or related field.

Counseling In Schools (CIS) is a dynamic community-based organization founded in 1986 with a mission to promote the emotional and social growth of children so that they can thrive in school and succeed in life.For nearly 40 years, Counseling In Schools has created and fostered relationships with loc

Masters Degree in Applied Behavior Analysis or related human services field (e.

Ensures that BIS staff within the residences understand and implement best practices that follow the tenants of Positive Behavioral Supports (PBS) and Applied Behavioral Analysis, and that Support Plans and strategies will be implemented consistent with a Person-Centered Philosophy.