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Job Title: Data Scientist Location: Newark, NJ (Hybrid - 3 days/week) Duration: 12 Months (Temp to Hire) As a Data Scientist, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries., • Perform hands-on data analysis, model development, model training, model testing, model deployment., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Write production-level code and partner with machine learning engineers to push development code into production., • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms., • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs., • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required., • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R., • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud., • Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems, • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing)., • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Senior IT Specialist (Scottsdale, AZ).The Senior IT Specialist will leverage advanced knowledge of computer science, electrical and electronic engineering principles to analyze, design, implement, administer, and support Clearway’s Operational IT systems.This will include collaborating with busine

You love developing software and digging into apps. Bachelor’s Degree in Computer Science, Software Engineering, Information Systems or equivalent.

Work together with engineering and product development teams. MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred.

Bachelor’s degree in Computer Science, Software Engineering or a related field (or equivalent experience) and eight (8)+ years of experience in software development. Seeking a Senior Developer to design, develop, and maintain high-quality software solutions. This role requires expertise in softwar

Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields.

Bachelors degree in Computer Science, Software Engineering, or a related field.

You’ll join one of our engineering pods (core app, retention, automation) depending on your interests and skills. Pride in building high-quality, user-first software. Bachelor’s degree in Computer Science, Engineering, or a related field.

Their role is to support teams across the organization to bridge the gap between product and engineering. Master’s degree in computer science, data science, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experi

Sony Interactive Entertainment LLC seeks a Senior DevOps Engineer in San Diego, CA to ensure the development, design, testing, and deployment of AEM assets and sites, as well as Adobe Marketing Cloud tools and products. Requires a Bachelor’s degree in Computer Science, Engineering (any), or relate

You bring 5+ years of DevOps, Platform, or Site Reliability Engineering experience along with strong cloud and Kubernetes expertise. Bachelor’s degree in computer science or equivalent experience supporting production SaaS platforms and 5+ years in DevOps, Platform or Site Reliability roles.

Bachelor’s degree in Computer Science, Electrical Engineering, or related field.

As a QA Test Engineer, you will be responsible for validating application quality across multiple testing disciplines: functional testing, test automation, integration, accessibility, and performance testing. Degree in computer science, engineering or related field. Aretum is seeking a highly skille

Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Computer Science or Engineering.

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field. Participate in code reviews, architecture discussions, and DevOps best practices with the data engineering and software development teams. Aptitude and ability to apply academic or appl

Computer Science, Electrical Engineering) preferred.

Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: • Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins, • Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs, • Build out pipeline infrastructure to ensure quality and efficiency, • Train, coach, and manage dynamic and global teams, • Build analytics to make data-driven decisions, • Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world, • Give regular progress updates to Scale's executive team You Will Have:, • A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes, • 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE, • Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems, • Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$112,000—$190,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: We are looking for a Senior Manager, Product Management to lead the product function for Wiley's Clinical Outcome Assessment (COA) platform suite, part of our AI and Data Analytics organisation. The role owns the multi-product roadmap for our COA platform portfolio, including the foundational COA database that holds Wiley's clinical measurement intellectual property, and a suite of customer-facing platform products that surface, score, and contextualise that content for pharmaceutical and CRO customers. The role manages an offshore engineering team and works closely with our scientific affairs, commercial, and AI specialists to translate clinical and customer needs into deliverable product. The role reports to the Senior Director, Clinical Outcome Assessments. Job Responsibilities * Own and maintain the multi-product roadmap for the COA platform suite, sequenced against commercial milestones and supported by clear prioritisation criteria. * Manage an offshore engineering team, including hiring, performance management, capability development, and the day-to-day operating model across time zones. * Lead end-to-end product delivery, from discovery and definition through release, instrumentation, and iteration based on customer feedback and product analytics. * Partner with engineering on architecture, technology choices, and AI-enabled features, including LLM integration, retrieval, and content tooling. * Work alongside scientific affairs, commercial, and the broader AI and Data Analytics product community to ensure platform decisions are clinically sound, commercially relevant, and aligned with shared standards. * Own data integrity, intellectual property handling, and data privacy controls across the platform suite, including alignment with regulatory expectations for clinical measurement. Required Qualifications * Bachelor's degree or equivalent professional experience. * Significant product management experience on B2B software platforms, data products, or specialist enterprise applications. * Demonstrated track record managing engineering teams, including offshore or distributed teams. * Experience owning a multi-product roadmap and delivering against committed milestones. * Direct experience shipping AI-enabled product features, such as LLM integration, retrieval-based applications, or other generative or predictive AI capabilities. * Working knowledge of AI and machine learning tooling, including vector databases and LLM-based product patterns. * Sound judgement on where AI capability genuinely improves a product versus where it adds risk or complexity without proportionate value. * Strong technical depth: comfortable with architecture conversations, build versus buy decisions, and technical trade-offs. * Strong stakeholder management and the ability to communicate complex product and technical concepts to non-technical audiences. Preferred Qualifications * Postgraduate degree in computer science, life sciences, health informatics, or business. * Direct experience in clinical research, healthcare data, life sciences, or pharmaceutical platforms. * Experience working with Clinical Outcome Assessment (COA) tools, electronic COA (eCOA), or real world evidence. * Familiarity with healthcare data standards (FHIR, HL7, CDISC) and clinical data structures. * Familiarity with model evaluation, prompt engineering, and AI safety considerations in product contexts. * Understanding of copyright and intellectual property frameworks for clinical content. * Experience working in regulated data environments (clinical, healthcare, pharmaceutical). We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 58,400 GBP to 84,333 GBP#LI-CW1 Job Posting Title: Senior Manager, Product Management Location: London (Fitzroy Square), GBR

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Senior Project Manager - North American Integrated Analytics Team As a Senior Project Manager, you will lead complex, cross-functional projects that deliver transformative solutions for life insurance clients. You will manage client implementations, ensure alignment with business objectives, and foster collaboration across diverse teams including Risk Specialists, Data Scientists, and Engineers. This role requires a blend of technical expertise, business acumen, and leadership skills. Job Responsibilities • Drive innovation by enabling new underwriting paradigms, distribution models, and data management, • Support the design and development of consumer-facing risk assessment products for North American clients, • Manage communications with various executives at carrier clients through critical project phases including procurement, delivery, and enhancements, • Participate throughout the software development lifecycle-from initiation through testing and implementation-working closely with internal and client development teams, • Manage all project phases leveraging project management tools, Agile methodologies, international standards (PMI and PMBOK), and best practices., • Deliver and own project outcomes aligned with established cost, timing, deliverables, and scope, • Specify and meet project delivery expectations through stakeholder management and meet/exceed the project sponsor's specified expectations to ensure buy-in and project success, • Proactively identify and track project risk and develop mitigation plans to manage risk (i.e., risk related to technology, change management, business process management, and requirements management), • Ensure production of necessary project documentation, • Continuously monitor project health and develop innovative approaches to resolve problems and significant issues; involve management where necessary, • Assist with tracking and reporting revenue and expenses, • Maintain communication with Compliance managers, document associated needs, and escalate issues, • Build and maintain professional relationships with various business units and global contacts, internally and externally Qualifications The successful candidate demonstrates a natural desire to provide exceptional client service through his/her energy, enthusiasm, and initiative. In addition, we are looking for the following qualifications: • 7+ years of project management experience leading and managing a variety of projects, • Bachelor's degree in Business, Economics, Computer Science/IT, or equivalent, • Experience in Life Insurance (Direct Carrier or Reinsurance) is highly desirable, • Commercial awareness of insurance, underwriting, and rule/decision engines, • Strong facilitation skills and the ability to communicate (verbal & written) at all levels with various internal and external stakeholders with professionalism, clarity, and precision, • Extensive IT experience, preferably in application development, with in-depth knowledge of the full Software Development Lifecycle, • Experience managing projects that require integration between parties and systems, • Prior experience in Agile project management methodologies like SCRUM as well as sound knowledge of project management techniques and methodologies like PMI, PMBOK, etc., • Proven ability to quickly earn the trust of clients and key internal stakeholders; taking accountability; mobilize, motivate, and lead teams; set direction and approach; resolve conflict; deliver tough messages with grace; and execute with limited information and ambiguity, • Ability to manage multiple projects simultaneously while maintaining quality and meeting expectations, • Ability to align closely with business goals and priorities, • Attention to detail and organizational skills, • Skilled at customer relationship management, • Superior written and oral communication skills, including presentations to clients and internal management, • Advanced proficiency in MS Excel, PowerPoint, Word, Project, • Experience with Azure DevOps, • Experience with software engineering best practices, • Agility to work across multiple internal teams and multiple assignments in a dynamic environment, • Ability to learn quickly, adapt to changing conditions, and take initiative, • A drive to make a meaningful impact and deliver results with ownership Our Benefits • Comprehensive Medical Plans, • PTO and Family Leave, • Retirement Savings Plans, • Dental and Vision Plans, • Life and Disability insurance, • Employee Assistance Program, • Adoption Assistance, • Wellness Programs - Calm, WW, SoFI, Virgin Pulse, • Commuter Benefits, • FSA and HSA Plans, • Hospital Indemnity, Critical Illness and Accident Plans At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. About Munich Re Together, we engage with everything we have and are, to help humankind act braver and better. As the world's leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients. For New York City based employees, the base salary range anticipated for this position is $153,583 to $177,833, plus an opportunity for an annual company bonus based upon a percentage of eligible pay. The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest. ___ Save job

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: The Technical QA Analyst II is a critical contributor to delivering high-quality products within the Capital Rx JUDI platform, aligning with business goals and exceeding user expectations. Working closely with Product Managers, engineers, and stakeholders, this role ensures the seamless execution of the product roadmap by proactively identifying and resolving technical issues, validating functionality, and enhancing user experiences. This role combines a detail-oriented approach to quality assurance with a collaborative mindset to drive operational efficiency, support clinical programs, and deliver innovative solutions that benefit all Capital Rx members and clients. A strong technical aptitude and ability to deeply analyze system behavior are essential. Position Responsibilities: • Technical Issue Identification & Root Cause Analysis: Identify, investigate, and triage technical issues within the JUDI tech stack (specifically focusing on [Specify Key Technologies - e.g., Python/Django, PostgreSQL, AWS services]). Conduct thorough root cause analysis, utilizing logs, database queries, and system monitoring data to pinpoint the source of problems., • Log Analysis & Monitoring: Monitor and analyze system logs (e.g., using CloudWatch, Datadog, or New Relic) to validate application functionality, identify performance bottlenecks, and proactively detect anomalies. Develop and maintain dashboards to visualize key system metrics., • Database Querying & Analysis: Utilize SQL to query and analyze data within the JUDI database (PostgreSQL preferred). Develop and execute complex queries to investigate data discrepancies, identify trends, and support troubleshooting efforts. Familiarity with SQLAlchemy is a plus., • AWS Service Support: Collaborate with the engineering team on the support and monitoring of AWS services utilized within the JUDI platform (e.g., EC2, S3, Lambda, RDS). Assist with troubleshooting issues related to these services., • Collaboration & Requirements Translation: Collaborate with Product Managers and engineers to understand business requirements and translate them into actionable test requirements and test plans. Participate in sprint planning and daily stand-ups., • QA Execution: Conduct thorough QA tasks, including ticket review, refinement, testing (manual and potentially exploratory), and bug identification., • Scrum Team Support: Partner with the scrum team to manage backlogs, refine tickets, and support roadmap development., • UAT Support: Assist with UAT testing, stakeholder communication, and documentation to align team efforts with business goals., • Compliance & Reporting: Ensure adherence to company policies, including timely reporting of noncompliance., • Bachelor's degree strongly preferred in Computer Science, Information Technology, or a related field., • 3+ years of experience in a QA Analyst, Software Engineer, Business Analyst, or related role., • Proficiency in Python, • Strong SQL experience; familiarity with SQLAlchemy is preferred., • Experience with logging and monitoring tools such as CloudWatch, Datadog, or New Relic., • Familiarity with Agile methodologies and workflows., • Experience with GitHub or similar source control repositories., • Excellent communication and collaboration skills, with the ability to translate between technical and non-technical audiences both verbally and in writing., • Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation., • Knowledge of API testing methodologies., • Experience with CI/CD pipelines., • Understanding of data warehousing concepts., • Experience in the PBM space. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$75,200—$109,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: • Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market), • Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives, • Own the execution of our data labeling operations for strategic projects, • Give regular progress updates to Scale's executive team, • Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python)., • 2+ years of experience leading a team, developing product or operational processes, or as a SWE., • Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Locations US-NJ-Paramus ID 2026-1963 Category Information Technology Type Regular Full-Time The Senior Manager, Commercial IT Data Engineer is a hands-on technical role responsible for designing, building, and maintaining enterprise data integrations and commercial data pipelines supporting life sciences operations. A strong foundation in SQL and relational data modeling is essential, as the role will regularly analyze, validate, transform, and optimize large commercial healthcare datasets. This role supports Snowflake analytics environments, IQVIA data ingestion (including Xponent, DDD, Prescriber/HCP, HCO, OneKey reference data, and affiliation datasets), and master data platforms including Reltio (preferred) or equivalent MDM solutions. The position partners closely with Commercial Operations, Data Operations, and managed service vendors to ensure reliable, scalable, and audit-ready data flows. Success in this role requires deep expertise in Reltio and/or on-premise MDM platforms, a strong understanding of Master Data Management principles, data governance, and data quality practices. Advanced SQL skills, experience with ETL tools, and familiarity with metadata management and data integration best practices are essential. Strong analytical thinking, problem-solving, and troubleshooting capabilities are also critical. Design, develop, and maintain enterprise data integrations across CRM, MDM, Snowflake, and external data providers. • Write, optimize, and troubleshoot complex SQL queries to support data ingestion, transformation, reconciliation, and validation., • Build and support ingestion pipelines for IQVIA datasets including Xponent prescription data, DDD datasets, OneKey reference data, Prescriber (HCP), and HCO data., • Process and integrate IQVIA affiliation datasets to support healthcare provider-to-organization relationships and hierarchy mapping., • Use SQL to investigate data issues, reconcile commercial datasets, and validate transformation logic., • Develop scalable Snowflake data models optimized for large commercial healthcare datasets., • Implement source-to-target mappings for IQVIA files including deciles, specialty alignment, territory mapping, brick-level data, and affiliations., • Support customer master alignment between IQVIA datasets, CRM platforms (e.g., Veeva), and Reltio or Informatica MDM platforms., • Support master data governance processes including survivorship rules, crosswalk mappings, golden record creation, and hierarchy management., • Develop automated validation, reconciliation, and monitoring controls for prescription, prescriber, and affiliation data., • Review vendor-delivered integration logic and SQL transformations to ensure scalability, performance, and maintainability., • Troubleshoot integration failures, transformation issues, API exchanges, and Snowflake performance bottlenecks., • Maintain Dev/Test/Prod deployment discipline and version control best practices., • Document transformation logic, SQL validation procedures, data lineage, and IQVIA file processing standards to support audit readiness., • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field preferred. Certifications in Snowflake, SQL, data engineering, or MDM platforms are a plus., • 3-7 years of hands-on data engineering or data integration experience within life sciences, pharma, or biotech., • Strong SQL expertise with ability to write complex queries, troubleshoot data issues, and optimize query performance., • Direct experience working with IQVIA commercial datasets including Xponent, DDD, Prescriber (HCP), HCO, OneKey reference data, and affiliation files., • Understanding of healthcare commercial data structures including prescriber hierarchies, affiliations, specialties, deciles, territory alignment, and brick-level geography., • Experience supporting enterprise data integrations using ETL tools, APIs, or file-based exchange processes., • Experience with Snowflake or other cloud data warehouse platforms., • Experience supporting or integrating with Reltio MDM (preferred) or equivalent master data platforms., • Experience with migrating from Informatica MDM to Reltio MDM is a plus., • Understanding of data stewardship practices and master data governance principles., • Strong debugging, reconciliation, and root cause analysis capabilities.

Thank you for considering Progyny! We're hiring a Solutions Analyst to be the operational lead for our external eligibility and enrollment vendor integration. You'll be the daytoday point of contact for the vendor, own file/data workflows from intake to resolution, and stand up scalable processes for exception handling, reconciliations, and change requests. You'll help build and manage new workflows to support peak enrollment and ongoing operations. This is a handson, detailoriented role for someone who loves connecting business needs to technical systems, diving into files, finding root causes fast, and getting crossfunctional partners (internal and external) aligned on a clear fix. What you'll do... * Systems & Vendor Integration: * Serve as the primary operational POC to our enrollment/eligibility vendor-triage issues, drive SLAs, and maintain clean communication loops. * Lead daytoday file exchange operations: monitor inbound/outbound files, validate formats, track acknowledgements, and ensure data integrity across platforms. * Analysis, Exceptions & Reconciliations * Review and analyze enrollment eligibility data (e.g., JSON/CSV flat files); perform rootcause analysis on exceptions and data mismatches. * File, track, and resolve issues in vendor and internal ticketing systems; document resolution paths and preventative measures. * Run manual enrollment keying when needed and manage manual term and premium/billing reconciliations between systems. * Process, Documentation & Testing * Author playbooks, SOPs, and other resources for exceptions, reconciliations, and goforward maintenance. * Stakeholder & Change Management * Partner with Product, Engineering/IT, Finance/Billing and Client Solutions on group profile updates, new implementations, and change requests. About you... * Bachelor's degree in Business Administration, Industrial Engineering, Information Systems, Computer Science, Data Analytics, or a related field. * 3-5 years in insurance or benefits operations, systems/business analysis, or vendor integrations with direct experience in eligibility and enrollment to billing data flows. * Handson experience with data files, integrations and error handling. * Demonstrated rootcause analysis skills and an ability to translate technical findings into clear action plans for nontechnical stakeholders. * Strong Excel (lookups, pivots), comfort with large datasets; familiarity with SQL for adhoc validation is a plus. Salesforce knowledge preferred. * Proven stakeholder management with external vendors and crossfunctional teams; calm under pressure, excellent written and verbal communication. * Process mindset: can document workflows, design controls, and drive continuous improvement. * Self-starter who takes initiative, works independently, and thrives in a fast-paced, constantly changing environment * Able to work a hybrid schedule of 3 days/week in our NYC office Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future. About Progyny: Progyny (Nasdaq: PGNY) is a global leader in women's health and family building solutions, trusted by the nation's leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians. Our benefits solution empowers patients with concierge support, coaching, education, and digital tools;provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs. Our mission is toempower healthier, supported journeys through transformative fertility, family building and women's health benefits. Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit ___. Our perks: * Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents' Employee Affiliation Group * Menopause and midlife care * Health, dental, vision and life insurance options for employees and family * Free in-person, virtual and text-based mental health and wellness support * Paid time off, including vacation, sick leave, personal days and summer flex time * Company equity * Bonus program * 401(k) plan with company match * Access to on-demand legal and financial advice * Learning and development programs to help you grow professionally and a mentorship program * Company social eventsto include annual volunteer day and donation matching * Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $80,000 - $95,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity. Progyny is proud to be anEqual Opportunity and Affirmative Action employer.We respect and seek to empower each individual and support the diverse cultures, perspectives,skillsand experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law. If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to ___. #LI-EH1

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Position Summary: We are seeking a highly motivated Postdoctoral Fellow to join our cutting-edge research team in the Dermatology Service within the Department of Medicine. This position offers an exciting opportunity to work on innovative projects aimed at enhancing dermatological imaging and clinical decision-making through advanced data analytics. Key Responsibilities: • Identify and map relevant features of Reflectance Confocal Microscopy (RCM) imaging to structured session reports., • Develop a structured, anonymized database integrating diverse dermatological data streams, including dermoscopy and clinical imaging., • Utilize data from a large-scale randomized controlled trial (RCT) to evaluate transparent AI models for improved diagnostic accuracy and decision support. Qualifications: • Ph.D. in a relevant field such as Biomedical Engineering, Computer Science, or a related discipline., • Strong background in image analysis, machine learning, and data integration., • Experience with AI model development and a keen interest in clinical applications., • Excellent communication skills and the ability to work collaboratively in a multidisciplinary team. Why Join Us? • Engage in groundbreaking research with access to state-of-the-art facilities., • Collaborate with leading experts in dermatology and data science., • Contribute to high-impact publications and gain valuable opportunities for professional development. Application Details: Interested candidates should submit a CV, a cover letter detailing their research experience and interests, and contact information for at least three references. Applications will be reviewed on a rolling basis until the position is filled. Join us in pioneering the future of dermatological imaging and data analytics! Salary Range: $72,000- $87,641 Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job Locations US-NJ-Paramus ID 2026-1946 Category Information Technology Type Regular Full-Time The Senior Data Engineer, Biz Ops will play a critical role in architecting the data infrastructure powering our AI-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform.driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AInative use cases, and establishing the foundational data architecture for our endtoend decisionintelligence platform. You will design scalable data ecosystems-including Data Lakes, Data Pipelines, and semantic modeling layers-using modern engineering standards (dbt, orchestration frameworks, CI/CD). Working closely with commercial and business operations experts, you will dissect existing workflows and reimagine them as AI-ready, streamlined processes in collaboration with AI Scientists and AI Engineers. You will translate ambiguous operational and business challenges into clean, reliable, ontology-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up.aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a highimpact senior role for someone who thrives in owning a data ecosystem endtoend and building AIcentric data infrastructure from the ground up. Analyze existing databases and redesign them for AI/ML readiness, including ontologydriven and semantic data modeling. • Architect and implement centralized Data Lake and scalable, robust data pipelines supporting operational workflows and AIdriven decision processes., • Build and maintain highquality data transformations using dbt and enforce software engineering best practices across the data stack., • Design featureready data models to support AI/ML use cases such as forecasting, classification, and optimization., • Develop secure and reliable data ingestion frameworks (batch and streaming) with strong observability and performance controls., • Partner with Commercial, Marketing, and AI teams to translate business problems into data requirements, semantic models, and scalable pipelines., • Implement data quality, lineage, and governance practices aligned with enterprise standards., • Lead technical direction on modern data stack architecture and continuously improve scalability, efficiency, and maintainability., • Contribute to an agile, experimentationdriven culture, balancing rapid PoC execution with longterm architectural integrity., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related field., • Experience: 5+ years of hands-on experience in Data Engineering or technical Analytics Engineering, with deep experience building data lakes and orchestrating complex pipelines., • Skills:, • Strong programming proficiency in Python and PySpark for largescale distributed data processing, data manipulation, automation, and pipeline development., • Expertlevel SQL for data modeling, complex transformations, and performance optimization., • Experience with modern data lake table formats such as Apache Iceberg., • Familiarity with Medallion Data Architecture (Bronze/Silver/Gold) for scalable and governed data processing., • Handson experience with modern transformation frameworks (e.g., dbt) and orchestration tools (e.g., Airflow or Python-based schedulers)., • Knowledge of core AWS or Azure data services and data observability practices., • Experience optimizing data models for BI and visualization tools (e.g., Tableau)., • Ability to define business metrics and derive semantic meaning from operational KPIs. Strongly Preferred • Master's degree or higher in a quantitative or technical field., • Experience working with ML pipelines (e.g., MLflow, Feature Stores) and collaborating with AI Scientists/Engineers., • Knowledge of ontologybased modeling, semantic layers, and modern data architectures (e.g., Data Mesh, Data Fabric)., • Experience with Graph Databases (e.g., Neo4j) for semantic modeling, ontology alignment, or operational knowledge graphs., • Domain experience in Supply Chain Management (SCM), BizOps, RevOps, or Commercial Operations., • Experience in regulated industries (e.g., biopharma, healthcare, finance)., • Experience in a BizOps or highly crossfunctional technical role., • Handson experience with Snowflake architecture. Who Thrives in This Role • Someone who enjoys owning a data ecosystem endtoend and building from zero to one., • A strategic thinker who balances strong technical depth with understanding of real business context., • An engineer who thrives in close collaboration with Commercial and AI teams to define how data powers decisions., • A builder comfortable operating in a fastpaced, startuplike environment where innovation and speed matter., • An "Agile Operator" who can rapidly prototype for PoCs while architecting for longterm scalability and reliability.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. This role supports global projects and financial governance by maintaining plans, risks, and executive reporting, enabling effective governance cadences and creating SharePoint, dashboards, and automation to reduce manual effort. It also supports FinOps by analyzing cloud spend, tracking savings and forecasts, and connecting technical activity to financial impact. 1.Project Management Support • Support program and project managers in maintaining:, • Project plans, milestones, dependencies, and risks, • RAID logs (Risks, Assumptions, Issues, Dependencies), • Action trackers and executivelevel status reports, • Assist with weekly and monthly governance cadence:, • Status consolidation across multiple workstreams, • Preparation of SteerCo / leadershipready summaries, • Track deliverables vs plan and highlight schedule or scope risks early, • Support documentation of processes, RACI models, and operating procedures 2. SharePoint Workflows, Automation & Dashboards (New / Expanded) • Design and maintain SharePoint solutions to support project and financial governance:, • SharePoint Lists for project, action, and cost trackers, • Automated workflows (Power Automate or equivalent) for:, • Status updates, • Approvals, • Notifications and reminders, • Create visual dashboards using:, • SharePoint views, • Power BI (preferred) or Excel integrations, • Improve data quality and efficiency by:, • Reducing manual tracking and reporting, • Automating repetitive governance tasks, • Ensure dashboards are execfriendly and aligned to KPIs used by leadership 3. FinOps & Financial Governance Support • Assist FinOps leads with:, • Cloud cost analysis (AWS/Azure), • Spend trend analysis (actuals vs forecast), • Cost allocation, showback, and chargeback data validation, • Help maintain optimization & savings trackers:, • Savings initiatives, • Forecast accuracy, • Cloud commitment utilization (e.g., Savings Plans / RIs), • Support preparation of financial insights for IT and business stakeholders, • Collaborate with engineering and finance to understand cost drivers behind technical decisions 4. Data, Tools & Automation • Work with structured and unstructured data from:, • Cloud dashboards (e.g., Cost Explorer, CUDOS-type reports), • Excel, Power BI, or similar analytics tools, • Help automate:, • Status reports, • Cost summaries, • Repetitive tracking mechanisms where feasible, • Apply analytical thinking to connect technical activity to financial impact, • Currently enrolled in a bachelor's or graduate degree program at an accredited academic institution in a relevant field (Business, Management, Finance, Economics, Information Systems, Computer Science, Engineering, or related discipline), • Working knowledge or hands on experience with SharePoint and creating or supporting workflows and dashboards., • Solid analytical and organizational skills., • Exposure to AWS, FinOps concepts, cloud billing or cost optimization, • Agile/Scrum/PMO methodologies, • Proficiency in Excel, Power BI exposure preferred., • Eligible to work in the United States, • Must be a rising junior or senior, • Ability to work onsite at our Nutley, NJ office three days per week (Tuesday-Thursday), • Local candidates preferred due to the onsite requirement Eisai Salary Transparency Language: The hourly rate for the IT Intern, Global Infrastructure Office is : $25. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example. Essential Duties and Responsibilities * Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners. * Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production. * Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow. * Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs. * Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI. * Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently. * Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up. * Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data. * Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap. * Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority. * Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk. The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs. Supervisory Responsibilities No Required Qualifications * Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable. * 7+ years of experience in software engineering. * Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling. * Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs. * Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support. * Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns). * Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response). * Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs. * Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality. * Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders. * Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews. Bonus Qualifications * Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations. * Experience with Azure and containerized deployments (or similar cloud-native environments). * Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams. * Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores). The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: ___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. #LI-SS2 #LI-Remote We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

REMOTE Summary of Position • Lead technology architecture (business, data, application, integration, and platform) for healthcare payer organization, ensuring scalable, secure, and compliant systems that support core health plan operations and business strategy., • Design and oversee IT system structures, bridging business needs with technical implementation by creating blueprints, selecting technologies, ensuring scalability/security, and guiding development teams to build robust, efficient, and secure solutions that meet strategic goals. Responsibilities include translating requirements, defining standards, troubleshooting issues, managing technical risks, and providing leadership to ensure successful project delivery., • Own and evolve the enterprise target-state architecture and multi-year roadmaps, aligning business capability models with application and technology portfolios, investment priorities, and measurable outcomes., • Establish and run architecture governance (principles, standards, reference architectures, review/exception process) and guide solution designs for major initiatives to ensure reuse, interoperability, and risk-managed delivery. Collaborate with IT & Business leadership and cross-functional IT teams to drive enterprise architecture principles enabling modernization, interoperability, and data-driven decision-making. Principal Accountabilities • Define and maintain enterprise architecture strategy, standards, and roadmaps aligned with company goals., • Collaborate with IT & business leadership to define, review and guide solution architectures for major initiatives and investments., • Create technical strategies and blueprints, choosing appropriate technologies (like cloud services or off-the-shelf solutions) to meet business requirements., • Create, own & evolve technical documentation and architecture diagrams; participate in design reviews and technical discussions; monitor system performance and infrastructure; and advise senior management on IT strategy., • Design systems that are performant, scalable, and resilient to handle growth and increasing user loads., • Provide architecture governance and technical leadership across IT teams., • Ensure end-to-end alignment across front-, mid-, and back-office systems., • Partner directly with delivery teams to guide designs, review code and integrations, and resolve technical issues., • Collaborate with various IT and business areas for proof of concepts and evaluation of the enterprise's technologies (including environmental analysis & opportunity identification)., • Act as a liaison between business stakeholders, project managers, and development teams, explaining complex technical plans in understandable terms; translate abstract business needs into concrete technical specifications., • Oversee the implementation and integration of new systems, ensuring they align with overall enterprise architecture and best practices., • Analyze and resolve complex technical problems, bottlenecks, and performance issues within existing or new systems., • Provide technical guidance, support, and training to development and IT teams., • May train, mentor, lead, guide, or manage other staff members or serve as a subject matter expert or escalation point., • Research current & emerging technologies and propose changes where needed based on business value and risk., • Oversee planning for future technology needs and digital transformation., • Select cost-effective solutions and eliminate unnecessary complexity., • Identify technical risks, implement security measures, and ensure compliance with industry standards., • Define and enforce technical standards, best practices, security protocols, and quality assurance for development., • Drive adoption of cloud and modern technologies, integration & data architectures., • Perform other related tasks as directed, assigned, or required. Qualifications Education, Training, Licenses, Certifications • Bachelor's degree in computer science, Information Technology, Software Engineering, or related field required, • TOGAF or similar Enterprise Architecture certification required, • Cloud certifications (AWS, Azure, GCP) preferred Relevant Work Experience, Knowledge, Skills, and Abilities • 10 - 12+ years of IT experience, with 5+ years in health payer enterprise or solution architecture required, • Proven experience in healthcare payer environment (Commercial, Medicare, Medicaid) required, • Solid understanding of payer workflows, payer operations, and regulatory requirements required, • Experience with enterprise architecture frameworks (TOGAF, Zachman, or similar) required, • Knowledge of Healthcare interoperability standards required, • Experience with executive communication and stakeholder influence required, • Experience with modern payer platforms and vendors required, • Deep understanding of application, data, integration, and infrastructure architectures required, • Hands-on experience with cloud platforms (AWS, Azure, and/or GCP), integration patterns and AI required, • Strong problem-solving skills required, • Technically creative and open-minded required, • Strong leadership skills, with the ability to operate in cross-functional team environments required, • Excellent written, verbal communication, planning and organizational skills required, • Ability to rapidly comprehend the functions and capabilities of new technologies and business value-add proposition required, • Experience with system monitoring tools (e.g., Splunk) and system health reporting required, • Flexibility in a fast-paced dynamic environment with shifting roles and responsibilities required, • Ability to clearly present multiple solution options, benefits, and associated costs to all constituents required, • Experience and ability to conduct assessments and develop product recommendations required, • Experience with microservices, containers, and DevSecOps preferred, • Experience with EHR/EMR preferred, • Experience with Machine Learning and Rules Engines preferred Additional Information, • Requisition ID: 1000003069, • Hiring Range: $113,400-$210,600

Job Locations US-NJ-Paramus ID 2025-1931 Category Information Technology Type Regular Full-Time The AI Scientist will design, prototype, and advance next-generation AI systems for drug discovery and pharmaceutical research. This role focuses on exploring and applying emerging AI methodologies to accelerate scientific discovery, support data-driven decision-making, and improve R&D workflows across drug discovery programs. The AI Scientist will contribute to the development of agentic AI systems, multi-agent workflows, and AI-driven scientific reasoning platforms that integrate advanced machine learning, large language models, and biomedical research applications. The role requires a strong balance of AI research understanding, hands-on prototyping ability, and engineering execution to rapidly evaluate new ideas and translate them into scalable, production-ready solutions. Responsibilities include evaluating emerging AI techniques, reproducing and extending state-of-the-art research approaches, building experimental prototypes, and developing reusable AI system architectures that can support scientific exploration and therapeutic discovery. The AI Scientist will collaborate closely with cross-functional research and engineering teams to identify high-impact opportunities where AI can meaningfully improve discovery efficiency and insight generation. The ideal candidate is highly technical, deeply curious about frontier AI capabilities, and excited about applying advanced AI systems in real-world drug discovery environments. Education: Master's degree or higher in AI-related fields, Computer Science, Computational Biology, Bioinformatics, Machine Learning, or related disciplines. • Experience: At least 3 years of relevant experience in AI, machine learning, or applied research environments., • Work Authorization: Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position., • AI Engineering Skills: Strong AI engineering and coding skills, with hands-on experience building scalable and production-ready AI applications and systems., • AI-Assisted Development: Experience with AI-assisted development and rapid prototyping workflows ("vibe coding") is highly desirable., • Agentic AI: Strong interest or hands-on experience in agentic AI systems, multi-agent orchestration frameworks, AI reasoning workflows, and LLM-based applications., • Biomedical Research: Experience working with biomedical or life science datasets and AI-driven scientific research platforms is highly desirable., • Generative AI & LLMs: Experience working with modern large language model ecosystems, prompt engineering, retrieval-augmented generation (RAG), or AI workflow orchestration frameworks is a plus., • Technical Stack: Strong programming skills in Python and familiarity with modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar ecosystems., • Domain Knowledge: Ability to quickly learn and understand drug discovery and pharmaceutical R&D domains and connect them with AI solutions., • Other Skills: Strong strategic thinking, problem-solving, interpersonal, and communication skills. Ability to excel in a fast-paced, startup-like environment with a focus on innovation and adaptability., • English Proficiency: Professional-level English communication skills.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position The Vice Presidentof Engineering is responsible for leading and scaling an engineering organization that delivers foundational technologies and capabilities that power user and client experiences. This leader sets the engineering vision, drives architectural excellence across application and infrastructure layers, and ensures scalability, reliability, performance, privacy, and security for products and platforms. This role reports to senior engineering leadership and is a key member of the engineering leadership team. Essential Duties and Responsibilities Leadership & Strategy * Lead, develop, and mentor a highly productive, inclusive, and mission-driven engineering organization. * Define and execute the technical strategy for foundational platforms and experiences that support large-scale usage across devices and channels. * Establish a north-star architecture for scalable, extensible, and modular capabilities that can be leveraged across multiple products. * Build and mentor a high-performing engineering leadership team across platform, frontend, backend, infrastructure, and operations domains. * Represent engineering in senior executive forums and influence company-wide technical strategy. Product & Engineering Execution * Oversee development and delivery of best-in-class capabilities across mobile, web, backend services, and platform foundations. * Guide architectures for high-throughput APIs, design systems, content management, and member/customer-facing core services. * Drive large-scale mobile and web platform rollouts, ensuring consistent performance and user experience across markets. * Lead development of capabilities thatmay include health metrics and insights, profiles and preferences, personalization, device integrations, dashboards/home surfaces, messaging and chat frameworks, push/in-app/omni-channel communications, feature management and product analytics, and data/interoperability layers. * Ensure reliability, scalability, and performance of systems with an emphasis on low latency, accurate data, and seamless connectivitywhere applicable. Cross-Functional Partnership * Partner closely with Product, UX/Design, Data Science/Data, Security, SRE/Infrastructure, Clinical/Domain teams, and Marketing (as applicable) to translate needs into high-quality, repeat-use experiences and robust platforms. * Collaborate across stakeholder teams to drive consistency, reusability, and shared foundational capabilities. * Build strong relationships with clinical and data teams to ensure experiences support outcomes-driven care where applicable. * Influence roadmaps for company-wide channel and platform capabilities used by multiple business units. Operational Excellence * Develop and implement engineering standards for quality, performance, privacy, and security. * Drive operational excellence with strong reliability practices (SLIs/SLOs, incident response, resilience engineering). * Oversee development and operations of infrastructure footprint, including cloud architecture, container orchestration, CI/CD systems, reliability frameworks, and performance/observability tooling. * Monitor platform performance, ensuring response times, uptime, and capacity meet expectations. * Manage a mixed onshore/offshore team model to ensure productivity, alignment, and quality. * Build strong hiring, talent development, and succession planning processes. * Manage budgets effectively, balancing innovation velocity with cost efficiency. Supervisory Responsibilities Yes Qualifications Expected for Position * Bachelor's degree in Computer Science, Engineering,Business Management, or related field. * 15+ yearsof progressively responsible engineering and technology leadership experience, including leading teams under an Agile/Scrum methodology. * Demonstrated success leading organizations of 50+ engineers,and subordinate senior leadership roles. * Demonstrated success shipping large-scale consumer and/or enterprise products and platforms. * Deep technical background with experience acrossany of: * Mobile engineering and large-scale iOS/Android deployments * Webplatforms, design systems, and frontend architecture * High-throughput APIs and distributed system design * Cloud architecture (AWS, GCP, or Azure) * Containerization & orchestration (e.g., Kubernetes, ECS) * CI/CD pipelines and DevOps tooling * Observability platforms (metrics, tracing, logging) * Reliability and high-availability practices * Experience driving reliability practices and operational frameworks. * Ability to manage and scale hybrid onshore/offshore engineering models. * Excellent communication, influencing, and cross-functional leadership skills. * Strong ability to operate in a fast-paced environment with evolving priorities. The base salary range for this position is$230,000- $260,000In addition to a base salary, this position is eligible for performance bonus, RSU's, and benefits (subject to eligibility requirements) listed here:___Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-timepositions. Thisinformation is applicable for all full-time positions. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Principal Product Manager Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities * Define and communicate long-term product vision and strategy across a portfolio of products, platforms, or capabilities aligned with business objectives. * Partner with executive leadership to shape business strategy through product insights, market intelligence, and customer understanding. * Ensure alignment of product goals across teams and functions, including engineering, data science, design, commercial, and operations. * Conduct in-depth market, customer, and competitive analysis to identify opportunities, risks, and emerging trends. * Oversee the full product lifecycle across multiple products or capabilities, from ideation through growth, optimization, and sunset. * Act as a senior voice of the customer, ensuring customer needs, regulatory considerations, and usability are reflected in product strategy. * Define and monitor success metrics and key performance indicators (KPIs) at the product and portfolio level to drive outcomes-based decision-making. * Identify strategic, operational, and regulatory risks and develop mitigation strategies to ensure successful product delivery and adoption. * Influence prioritization and investment decisions to maximize customer value and return on investment. * Lead through influence by coaching and mentoring Product Managers and Senior Product Managers, and by establishing product best practices. * Drive consistency and scalability across products by defining frameworks, standards, and reusable capabilities. * Build and maintain strategic partnerships with internal teams, customers, vendors, and external partners that enhance the overall product value proposition. * Represent the product organization with key customers, partners, and industry forums as a product thought leader, as appropriate. * Bachelor's degree (BS/BA) in Information Systems, Management, Statistics, Computer Science, Data Science, Engineering, or a related field. * Extensive experience leading product strategy and delivery for complex software, technology-enabled, or data-enabled products in healthcare, life sciences, or other regulated industries. * Demonstrated ability to define and evolve long-term product vision and strategy across multiple products or platforms. * Proven experience influencing executive stakeholders and driving alignment across complex, cross-functional organizations. * Strong business acumen with experience developing product investment cases and prioritization frameworks. * Deep understanding of customer needs, industry trends, and competitive landscapes within healthcare or life sciences. * Ability to anticipate regulatory, compliance, and market changes and proactively adapt product strategy. * Strong product-level understanding of technology and data concepts sufficient to guide strategic decisions and evaluate tradeoffs. * Ability to partner effectively with engineering, data science, and architecture leaders without requiring hands-on technical implementation. * Exceptional verbal and written communication skills, with the ability to convey complex concepts clearly to executive and non-technical audiences. * Strong ability to lead through influence, build consensus, and navigate ambiguity. * Strategic, outcomes-oriented mindset with a focus on delivering measurable business and customer value. * Strong analytical and problem-solving skills to inform decision-making at scale. * Comfortable operating in dynamic environments and adapting strategy in response to change. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Department: Operations / Technology Reports To: Ownership / Executive Leadership Location: In Office - 5 Days a Week Position Summary We are seeking a forward-thinking and operationally focused AI Solutions Engineer to evaluate, design, and implement artificial intelligence tools and automation strategies across our organization. This role is not a traditional software engineering role focused solely on coding products. Instead, this individual will act as a strategic operational partner who analyzes day-to-day workflows, identifies inefficiencies, and develops AI-driven solutions that improve productivity, communication, reporting, compliance, and overall employee effectiveness. The ideal candidate understands both technology and business operations. They should be capable of sitting with departments, observing workflows, identifying repetitive or manual tasks, and recommending practical AI applications that create measurable efficiencies without disrupting operations. This role will work closely with leadership and employees across departments including property management, accounting, HR, operations, maintenance coordination, leasing, compliance, and administration. Operational AI Analysis & Workflow Optimization • Conduct detailed assessments of employee workflows, responsibilities, and operational processes across departments., • Identify repetitive, manual, administrative, or time-consuming tasks that can be streamlined using AI tools or automation., • Evaluate opportunities for AI-assisted efficiencies in property management operations, tenant communication, maintenance coordination, vendor management, payroll and HR administration, reporting and analytics, document management, leasing administration, compliance tracking, and internal communication workflows., • Create process maps and operational recommendations for leadership review., • Develop implementation plans that prioritize efficiency gains while minimizing operational disruption. AI Tool Development & Implementation • Research, evaluate, and implement AI platforms, automation systems, and workflow tools appropriate for the business., • Build and maintain AI-driven automations using platforms such as ChatGPT Enterprise, Microsoft Copilot, Zapier, Make.com, Power Automate, API integrations, and workflow automation systems., • Develop internal AI assistants, prompts, templates, and knowledge systems for employees and departments., • Partner with leadership to establish AI usage standards, governance, and best practices., • Ensure AI systems align with operational goals, compliance requirements, and data privacy standards. Cross-Department Collaboration • Meet with department leaders and employees to understand operational pain points and inefficiencies., • Translate non-technical business needs into scalable AI solutions., • Train staff on AI tools and promote organizational adoption., • Provide ongoing support and optimization for implemented systems., • Create user-friendly documentation and SOPs for AI-related workflows. Data, Reporting & Analytics • Develop AI-assisted reporting dashboards and operational insights., • Analyze operational data to identify trends, bottlenecks, and opportunities for improvement., • Assist leadership with forecasting, productivity metrics, and operational efficiency reporting., • Improve visibility into KPIs across departments through automation and AI-driven reporting. Property Management Specific Initiatives • Evaluate opportunities for AI-assisted resident communication and response management., • Improve maintenance ticket workflows and vendor coordination processes., • Assist with automating lease administration and document processing., • Identify operational efficiencies within multi-property management environments., • Support compliance tracking and audit preparation processes through intelligent workflow systems. Qualifications Required • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Technology, or related field preferred., • 3+ years of experience in AI implementation, automation engineering, business systems analysis, or operational technology roles., • Experience analyzing business operations and implementing workflow improvements., • Strong understanding of AI tools, automation platforms, and process optimization., • Experience working cross-functionally with non-technical teams., • Excellent communication and presentation skills., • Ability to explain technical concepts in a practical and understandable way., • Strong organizational and project management abilities. Preferred • Experience within property management, real estate, hospitality, construction, or operations-heavy industries., • Familiarity with HRIS, payroll, ERP, CRM, and property management systems., • Experience with API integrations and workflow automation., • Understanding of operational compliance and data privacy standards., • Experience implementing enterprise AI solutions within growing organizations. Key Competencies • Operational Thinking, • Process Improvement, • AI Strategy & Innovation, • Automation Design, • Business Analysis, • Change Management, • Cross-Functional Collaboration, • Problem Solving, • Systems Integration, • Communication & Training

Job DescriptionDescription: Job Title: AI/Machine Learning Labor Workforce Planning/HR Specialist Job Description: We are seeking a highly skilled AI/Machine Learning Labor Workforce Planning Specialist to join our team. This role will focus on aligning workforce planning and capacity modeling with future organizational needs in the field of artificial intelligence and machine learning. The ideal candidate will have a strong background in AI and data science, along with experience in developing job descriptions and career pathways. Key Responsibilities: • Conduct workforce planning and capacity modeling for AI/ML roles to align with future organizational needs., • Design standardized job families and role levels specifically for AI and data science positions., • Define core and technical competencies for each AI-related job classification., • Develop comprehensive job descriptions and career pathways that promote internal growth and development., • Benchmark comparable roles across public sector healthcare and government/tech sectors to inform compensation and titling strategies., • Develop and deliver recommendations for a sustainable talent architecture that aligns with the NYC H+H strategy., • Recommend a scalable framework for talent management in AI and data science., • Collaborate with technical leadership, including the Senior Director of AI & Engineering, to ensure alignment with organizational goals. Skills and Qualifications: • Strong understanding of artificial intelligence and machine learning concepts., • Experience in workforce planning and capacity modeling., • Proven ability to design job families and role levels in technical fields., • Excellent analytical and benchmarking skills., • Strong communication and collaboration skills., • Ability to develop clear and concise job descriptions and career pathways., • Familiarity with public sector healthcare and government/tech sector roles is a plus., • Experience working with technical leadership and cross-functional teams. We encourage candidates from diverse backgrounds to apply and join our mission to enhance our workforce in the AI and data science domains. Requirements: ? Demonstrated expertise in workforce planning, job architecture, and competency framework design, preferably within large, matrixed, public sector organizations. ? Strong working knowledge of AI/ML roles, skills, and team structures, with the ability to translate technical functions into HR-friendly frameworks. ? Proven experience conducting compensation benchmarking. ? Exceptional ability to synthesize stakeholder input, industry research, and organizational context into clear, scalable deliverables (e.g., job families, career ladders, competency models). ? Strong project management skills with a track record of executing complex projects on aggressive timelines. ? Familiarity with public sector constraints and civil service considerations Excellent verbal and written communication skills, including experience presenting frameworks and recommendations. QUALIFICATIONS FOR THE JOB EDUCATIONAL LEVEL: Master’s degree preferred in HR, Organizational Development, Data Science, or related field. KNOWLEDGEABLE IN: -Job architecture and career pathing -AI/ML functions and team structures -Healthcare and public-sector workforce frameworks -Compensation benchmarking EQUIPMENT/MACHINES OPERATED: Standard office equipment (computer, telephone, scanner, copier) COMPUTER PROGRAMS/SOFTWARE OPERATED • Microsoft Office Suite, • Google Office, • Job Descriptions Management Tool YEARS OF EXPERIENCE: 4+ years in workforce strategy, HR consulting, or organizational design; 2+ years supporting AI, data science, or technical teams preferred.

About Cerberus Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at ___. Job Purpose: Cerberus established our Residential Opportunities investment platform in 2008 to capitalize on opportunities to acquire distressed residential mortgage-backed securities following the Global Financial Crisis. Over the past decade, our Residential Opportunities platform has continued to build upon its expertise in residential debt and evolved to earn recognition as an innovator and market leader in securitizing performing residential real estate loans and investing in single-family rental real estate (SFRs). Our Residential Opportunities strategies seek to maximize absolute return through a combination of capital appreciation and current income, investing primarily in mortgages, loans, and real assets, and leveraging our proprietary asset management platforms to enhance performance and drive value. As an Analyst at Cerberus Operations and Advisory, you will help the team expand its analytic and modeling capabilities across all aspects of Cerberus’ Residential Real Estate strategy, from analyzing hard asset and capital markets transactions to supporting operational excellence. Using the team’s tailored data, you will be expected to create reports, model asset performance, and support research projects. You will partner with portfolio managers, data scientists, and leaders in our proprietary property management platform to build and execute investment and operational strategies that create value for clients. This role operates within a “start-up” environment within the Residential Opportunities platform, requiring comfort operating in a fast-moving, high-ambiguity environment where priorities shift and many problems will not have a predefined path to solution. Responsibilities: • Data Analysis Expertise: Analyze structured and unstructured data related to residential real estate, property management, and credit underwriting operations to uncover and display insights that inform investment decisions., • UI and Presentation Design: Create and support data visualizations via PowerPoint, Python, Tableau, PowerBI., • Strategic Problem Translation: Translate business scenarios and investment ideas into succinct data problems by identifying and analyzing key drivers. Seamlessly align business objectives with appropriate cost functions, demonstrating an acute understanding of available data nuances., • End-to-End Project Ownership: Manage the end-to-end delivery of success criteria, data, algorithms, statistical models, and reporting tools. You will be expected to engage from project inception and work with relevant parties to collect, analyze, and output analysis / models for broad consumption. Work collaboratively within cross-functional teams to ensure timely and high-quality deliverables. Your adeptness will ensure efficient problem-solving and the realization of desired outcomes., • Financial Acumen Development: Demonstrate a proactive approach to expanding knowledge in investing and real estate fundamentals, leveraging analytical skills to explore market trends and financial concepts., • IT Stack Optimization: Comfortable setting up and troubleshooting data connections (e.g., Snowflake, APIs, MCPs) and partnering with IT teams to onboard new tools and systems., • Team Synergy: Collaborate seamlessly with fellow team members, lending your skills to group projects and promoting a cohesive and productive team dynamic., • Flexibility and Initiative: Thrive in a high-ambiguity environment where many assignments will be loosely defined, requiring you to independently frame the problem, identify the right approach, and drive to a conclusion without waiting to be directed. Intellectual curiosity and the habit of proactively seeking out answers on your own are essential to success in this role. Interest in AI and exploration of new analytical tools is a strong plus. Qualifications: • 1-3 years of work experience with a degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or a related quantitative field; candidates with a business, finance, or economics background and strong demonstrated technical skills are also encouraged to apply, • Experience with Python, SQL, Git, • Experience with Azure, Snowflake, PowerBI, Fabric a plus. Otherwise, can learn in the role, • Demonstrated ability to manipulate and summarize large datasets, • Highly motivated with excellent attention to detail and organizational skills, • Strong communication skills with the ability to present findings clearly to both technical and non-technical audiences, including senior leadership; comfortable translating ambiguous asks into structured analysis and working within a collaborative team environment The base salary for this position is expected to be between $115,000.00 and $140,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate’s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.

Company Description NeenOpal is a global consulting partner specializing in AI, Cloud, and Data Solutions to enable businesses to become intelligent enterprises. With headquarters in Bengaluru, India, and offices in Newark, USA, and Fredericton, Canada, we serve clients ranging from startups to large enterprises across diverse industries. Our core expertise includes AI & Machine Learning, Cloud Solutions, and Data Engineering, focusing on delivering tailored, scalable, and innovative solutions. Leveraging a "follow-the-sun" global delivery model, we ensure round-the-clock support and localized services while helping organizations achieve their strategic goals. Role Description This is a full-time hybrid role for a Business Intelligence Analyst based in Newark, NJ, with flexibility to work remotely at times. The Business Intelligence Analyst will design and implement data-driven strategies, build dashboards and reports, and provide actionable insights to support decision-making across various business functions. Responsibilities include analyzing data trends, creating business intelligence tools, and collaborating with stakeholders to understand business needs and translate them into data solutions. The role requires proactive problem-solving and the ability to synthesize complex data into clear, meaningful insights. Qualifications • Strong Analytical Skills for assessing complex datasets and deriving actionable insights, • Proficiency in Data Modeling and the ability to design efficient, scalable data models, • Experience with creating Dashboards and using Business Intelligence Tools such as Power BI and Tableau. Looking for deep expertise in one tool and high level proficiency in the other, • Background in Business Analysis to understand and translate business requirements into actionable data-driven solutions, • Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders, • Proficiency in SQL or other query languages is highly desirable, • Bachelor's degree in Data Analytics, Computer Science, Statistics, Business, or a related field, • Experience with a hybrid work environment and ability to adapt to a fast-paced setting

TITLE: Data & Data Governance DEPARTMENT: Data Analytics LOCATION: New York, USA FLSA STATUS: EXEMPT JOB SUMMARY Data & Data Governance reports to Chief Data and Analytics Officer. Leading Data Governance, Data quality and Data Lineage function. This role provides support to core data analyst function. CORE JOB RESPONSIBILITIES ___ Data Analysis • Performs complex analyses., • Conducts and facilitates issues identification based on in-depth analysis on various data sets to determine Route cause analysis and work with appropriate parties to remediate data issues., • Analyze raw data a across source systems and turn it into actionable insights and support business decision-making., • Provide ad-hoc analytics support., • Utilize statistical and analytical tools to identify trends, patterns, and anomalies in the data, automate testing procedures and find opportunities to eliminate manual data exchanges., • Perform data profiling of source data to assess quality and Identify opportunities to improve data quality at the source., • Work with business data owners to create Business Glossary, • Work with business data owners to identify CDE and governing data quality rules., • Document technical and business metadata., • Assess and improve data quality by identifying and addressing data discrepancies, inconsistencies, and inaccuracies., • Design and Implement data quality checks and validation processes to maintain high standards of data accuracy., • Own data delivery projects under guidance of CDAO, • Work with business take holders to understand business requirements and translate those requirements into data and technical specifications., • Work with IT and data engineering to facilitate solution and make sure the solution meet requirements., • Document data processes, data lineage, and meta data to ensure transparency and facilitate knowledge transfer within the organization., • Create and maintain artifacts for assigned data projects., • Document company data assets and contribute to data modeling., • Help with existing reporting systems. Technical Data Skills • Expert level SQL skills, • Experienced with ETL, data mapping and transformation rules., • Intermediate skills with Python and R and willingness to advance., • Knowledge and understanding of data modeling, different data modeling technics, and data warehousing., • Experience with Oracle, SQL Server, or similar RDBMS platform., • Some exposure to Big Data technologies, ApacheSpark, AWS, AWS S3, amazonGlue, cloud -based data architecture is preferred., • Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality, • Ability to implement and enforce data governance standards., • Excellent communication skills to convey complex data findings to both technical and non-technical stakeholders., • Bachelor’s degree in computer science, Data Science, or data engineering, • 3-5 years of experience as a Data Analyst with exposure to data governance practices., • Previous work experience in the banking or finance industry is highly desirable., • Strong analytical and problem-solving skills with the ability to translate data into actionable insights., • Meticulous attention to detail to ensure data accuracy and quality., • Curios and open to learning advanced data tools and technologies. ___ Specific duties and responsibilities may vary based upon departmental and Bank needs. Other duties may be assigned similar to the above consistent with the knowledge, skills and abilities required for the position.

The Senior Manager, People Analytics will be responsible for generating insights into People Data. This role partners closely with Talent Acquisition, People Team, Finance, and business leaders to transform data into actionable insights with primary focus on Recruiting and Talent Acquisition processes and strategies. The ideal candidate brings deep expertise in recruiting and TA data, strong technical capabilities across modern analytics platforms, and the ability to translate complex data into clear, executive-ready insights. People Data Analytics & Strategy • Own and evolve the Talent Acquisition and Recruiting analytics roadmap, aligning insights to Business and Strategic People priorities, • Deliver insights across the full recruiting lifecycle (sourcing, pipeline health, time-to-fill, quality of hire, candidate experience, offer acceptance, recruiter productivity), • Partner with TA leadership to define KPIs, benchmarks, and success metrics, • Design, build, and maintain scalable TA data models using Snowflake and dbt, • Integrate and harmonize data from ATS platforms (SmartRecruiters, Greenhouse) and HCM systems (SAP SuccessFactors), • Ensure data accuracy, consistency, and governance across recruiting datasets, • Develop executive-level dashboards and self-service reporting in Power BI, • Create reports in HCM and other source systems for ingestion into the Data Warehouse, • Conduct deep-dive analyses and research on Talent Acquisition in combination with other People Data to build comprehensive narratives on People Strategies, • Identify trends, risks, and opportunities using the breadth and depth of available data, • Liaise and act as a trusted thought partner to TA, People Business Partners, People and Business leadership, • Influence decision-making through data storytelling and recommendations, • Mentor junior analysts or analytics resources in the People Analytics Team, • Lead Analytics projects from start to finish and manage stakeholder expectations by periodic updates and followups, • 7+ years of experience in People Analytics, HR Analytics with a strong focus on Talent Acquisition, • Bachelor's degree in Computer Science, Mathematics, I/O Psychology, or related field, • Proven experience working with ATS platforms such as SmartRecruiters or Greenhouse, • Hands-on expertise with HCM systems, preferably SAP SuccessFactors, • Demonstrated experience in:, • Power BI (dashboarding, DAX, executive reporting), • Snowflake (data warehousing, querying, performance optimization), • dbt (data modeling, transformations, documentation), • Advanced SQL skills and experience working with complex, multi-source datasets, • Strong business acumen in CPG or Manufacturing industry Preferred Qualifications • Experience building and supporting enterprise people analytics platforms, • Knowledge of data governance, privacy, and HR data security best practices Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $130,500.00 - $243,500.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Job Location(s) US-NY-Old Westbury Job ID 2026-4419 Position Type Staff Type Regular Full-Time Category College of Osteopathic Medicine New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenes, and reinvent the future. For more information, visit nyit.edu. NYTech's College of Osteopathic Medicine seeks an Early Clinical Experiences (ECE) Coordinator at the Long Island (Old Westbury, NY) campus. Assign and manage schedules of students engaged in ECE with the clinical sites. • Manage agreements, paperwork, materials needed by the clinical sites as well as paperwork needed to be completed by students., • Interface and coordinate with clinical sites/ preceptors that will accept yr 1 and yr 2 students for ECE., • Track and maintain attendance records. Follow up and assign make-up sessions as needed., • Track and organize ECE reflection assignments as well as Clinical Practice Reflections (CPR) reflection assignments., • Serve as back-up for Exam Coordinators., • Serve as back-up for Curriculum Coordinators., • Orient Students and Clinical Sites/Preceptors to Early Clinical Experience Process/Expectations., • Develop and update, as needed, Early Clinical Experience policy, practice, and procedure manuals for (1) Students and (2) Clinical Sites/Preceptors. Strong computer, interpersonal, and organizational skills required. Excellent verbal and written communication skills. Ability to manage multiple tasks in a fast-paced environment. New York Institute of Technology offers numerous opportunities to enhance personal and professional growth and provides employees with a competitive compensation and benefits program inclusive of generous paid time off, holidays, tuition remission, and retirement plans with employer contributions. New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. USD $45,000.00/Yr. USD $50,000.00/Yr.

Job Location(s) US-NY-New York Job ID 2025-4085 Division College of Engineering & Computing Sciences Position Type Adjunct Type Regular Part-Time Category College of Engineering and Computing Sciences New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. The Department of Computer Science at New York Institute of Technology, NYC, is looking for an Adjunct faculty to teach Computer Science and an introductory course for all Engineering and Computing Science undergraduate students at its NYC campus. Candidates should have a M.S or Ph.D. degree in Computer Science, Information Technology, Data Science, Cybersecurity, or a related area. Teaching experience or industrial experience in Computer Science, Artificial Intelligence, programming languages LISP, PROLOG and object-oriented programming and related Lab applications are preferred. New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Adjunct Faculty offered hourly rate is contingent on applicable rank. USD $99.00/Hr. USD $108.00/Hr.

Job Location(s) US-NY-Old Westbury Job ID 2026-4454 Division School of Health Professions Position Type Adjunct Type Adjunct Category School of Health Professions New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. The Doctor of Physical Therapy Program at New York Institute of Technology in Old Westbury invites applications for an adjunct faculty position with expertise in clinical anatomy and dissection to assist in the lab portion of the Gross Anatomy course. Applications are now being accepted with an anticipated start date of May 18, 2026.Responsibilities:Collaborate with the primary course instructor to design a class schedule, lectures, activities, assignments and relevant grading rubrics that meet the course objectives and syllabus requirements. (Please note that all assignments and practical examinations must have grading rubrics.) • Collaborate with the primary instructor to create examinations to evaluate student knowledge., • Prepare current and evidenced based teaching materials for course., • Evaluate students and provide appropriate feedback to students., • Be available via email and by appointment, to meet with students. Extensive knowledge in human gross anatomy. NYS License to practice physical therapy preferred. Must be a professional in good standing. New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Adjunct Faculty offered hourly rate is contingent on applicable rank.

Job Location(s) US-NY-Old Westbury Job ID 2025-4057 Division School of Health Professions Position Type Adjunct Type Regular Part-Time Category School of Health Professions New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. The Department of Interdisciplinary Health Sciences seeks part-time Adjunct faculty to fill possible openings in the following areas in our Health Sciences Programs: Community Health, Health Information Management, Epidemiology, Healthcare Payment Systems, and Exercise Science. Required Degree: Master's Degree Preferred Degree: Doctorate Required Field of Expertise: Must have expert knowledge in a health and/or exercise science. Preferred Experience: Candidates with higher education teaching experience, knowledge of asynchronous and synchronous online platforms and experience in using the Canvas Learning Management System are strongly preferred. Rank and Salary commensurate with education and experience. New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Adjunct Faculty offered hourly rate is contingent on applicable rank. USD $99.00/Hr. USD $108.00/Hr.

Job Description: Job title: Software Engineer Duration: 12 months (possibility of extension) Location: Hybrid (Newark, NJ) Summary • Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments, • Develop high quality, well documented and efficient code adhering to all applicable Prudential standards, • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact, • Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems, • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day, • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables., • Use programming languages including but not limited to Python, Java, or JavaScript and React, Springboot, frameworks The Skills & Expertise You Bring • Bachelor of Computer Science or Engineering or experience in related fields, • 6+ years of hands-on experience building enterprise-grade applications using modern Java and JavaScript ecosystems, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: • Programming Languages: Python, Java, Java Script; Typescript, C#, working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring, Maven, Microservices, multi-threading, Concurrency and parallel processing, • Frameworks: React, Springboot, Flask, Django, Node.js (Run time), • Data Store: NoSQL or Relational Data structures - PL/SQ, DB2, Oracle, Postgres, RedShift, • Data Streaming: SQS, Kinesis, AWS MSK, Event Bridge, • Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SOAP, XML, JDBC, MySQL, • API Management & Integration : Kong, Apigee, • Unit, interface and end user testing concepts and tooling (functional & non-functional), • Automated testing, • Accessibility awareness, • Software security skills including secure coding, web application security and DevSecOps; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0), • Dev Ops Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins, • Software Development Life Cycle (SDLC): Monitoring and logging techniques, • AWS Core Services across compute, storage, DB, IAM and analytics incl specific services listed above, • Preferred Qualifications:, • Strong experience with Domain Driven Development (DDD), • AWS cloud native solution development, • Architecture Patterns, • Design and critical Thinking, • Financial/Insurance industry experience is a must, not a plus, • Experience with agentic frameworks and AI driven development tools is a Must. [Claude Code, GitHub Copilot etc]

Job Title: QA Engineer Location: Hybrid- Newark, NJ Duration: 12 months Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Qualifications Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Job Title: AWS Data Engineer Duration: 7 months (Possibility of extension) Location: Hybrid (Newark, NJ) Job Summary: We are seeking an experienced AWS Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Key Responsibilities: • Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS., • Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.)., • Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture., • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions., • Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses., • Develop and enforce standards for data quality, security, and governance., • Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team., • Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy., • Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption., • Troubleshoot complex data issues and provide technical leadership in problem resolution. Required Qualifications:, • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment., • Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform)., • Excellent problem-solving, communication, and organizational skills. Preferred Qualifications:, • AWS Solutions Architect or AWS Data Engineer certification., • Experience with real-time streaming technologies., • Knowledge of data governance, compliance, and security best practices., • Familiarity with Lakehouse architecture and modern data platforms.