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The Retail Store Manager is responsible for running day-to-day sales and operations while meeting excellent customer service standards. Essential Functions (not all-inclusive): • Manage Sales team by coaching, counseling, advice, support, motivation or any information needed in order to help and meet their sales objectives, • Stay current on financial data, inventory, and other statistics, • Be sure that all products in the store are available for purchase and displayed appropriately, • Oversee and manage payroll, recruiting, hiring and training of store employees, • Responsible for executing operational tasks related to institutional sales and rental services on a daily basis for all accounts assigned., • Promote the Music & Arts lesson program and assist teachers, • Demonstrate outstanding customer service to each and every customer For our employees who are musicians we offer the unique opportunity of gig leave--take time off to share your music with the world and return to your job after your tour! Music & Arts offers robust benefits and perks for full time employees including Medical, Dental, Vision, 401K plus company match, mental health support, paid sick/holiday/vacation time, employee discount program, and tuition reimbursement options. Pay Rate: $19.00 - $21.00/hr plus bonus depending on location, background and experience. The job posting is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific employee, which is always dependent on actual experience, education, and other factors. The pay range(s) listed are provided in compliance with state specific laws. Pay ranges may be different in other locations About Music & Arts Music & Arts embodies the world of creativity and music by encouraging our teammates to find their own individual sound. We strive to create lifelong musicians and make a difference in the world by enabling musicians and non-musicians alike to experience the almost indescribable happiness that comes from playing an instrument. We believe in putting our customers first, engaging with respect and integrity and fulfilling our mission with passion. The first Music & Arts was located in a small house in Bethesda, MD and run by founder Benjamin O'Brien. When Music & Arts opened its doors in 1952, we offered printed music, music lessons, dance lessons, and art supplies. Ben decided shortly after opening his business that he wanted to focus on music to better serve his customers -- a decision that remains intact to this day. Since the 1990's, Music & Arts has expanded nationwide through organic growth and a series of acquisitions and mergers with other music dealers. In 2005, Music & Arts joined forces with American Music to become the largest band and orchestra instrument retailer in the United States. Based in Frederick, MD, Music & Arts is now part of the Guitar Center enterprise and comprises 225+ retail stores, 200+ educational representatives, and 250+ affiliate locations. To join our band, you'll need the following experience: Minimum Requirements: • High School Diploma or Equivalent, • 3-5 years retail experience If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening. You can request reasonable accommodation by sending an email to .

Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. Develop, validate, and implement statistical models to extract actionable insights from complex data. You will leverage your expertise in statistics, mathema

Job Description: • Stefanini is seeking an Executive Editor, Insights with advanced data fluency and a strong background in data journalism and AI to lead the creation of high-impact editorial products that translate quantitative findings into meaningful insights for healthcare professionals., • This editor will oversee flagship Reports franchise including physician compensation, lifestyle, and sentiment surveys as well as emerging AI-driven, data-focused features that help readers understand trends in medicine, practice management, and clinician well-being., • The ideal candidate is a data-literate, AI-savvy editor who is as comfortable interpreting complex analyses and algorithmic models as they are shaping compelling, evidence-based stories. This person will collaborate closely with analytics, research, and AI innovation teams to identify significant patterns, ensure statistical and methodological integrity, and surface insights that guide editorial strategy and deepen audience engagement. Key Responsibilities • Lead the development and execution of Reports and data-driven editorial series, from concept through publication., • Partner with research, analytics, and AI teams to design, refine, and interpret physician surveys, audience studies, and predictive analyses., • Analyze quantitative findings and AI-generated insights to identify trends, correlations, and signals that can be transformed into clear, credible stories., • Use AI to create and edit data visualizations, infographics, dashboards, and interactive tools in collaboration with designers and data visualization specialists., • Think creatively about new multimedia formats and AI-enhanced storytelling methods including visuals, audio, and video that make data and insights more accessible and engaging., • Ensure that survey methods, AI models, and data analyses meet the highest standards of accuracy, transparency, and reproducibility., • Develop editorial frameworks for tracking metrics across specialties, audience segments, and timeframes to inform ongoing coverage., • Write and edit features that contextualize quantitative and AI-driven findings within broader clinical, social, or economic narratives., • Mentor editors and writers on interpreting, validating, and applying data and AI insights in their reporting and editing., • Serve as the editorial liaison to data science, AI, and business intelligence teams to ensure alignment across content, analytics, and product strategies. Qualifications • Minimum of 8 years of experience in health, science, or business journalism, with at least 4 years focused on data journalism or data-driven storytelling. At least 1 year of experience using AI applications to assist in the creation of content., • Strong proficiency in Excel, Google Sheets, and data visualization tools such as Tableau, Data wrapper, Flourish, or Power BI, • Proficiency in databases and software like MySQL, • Proven ability to interpret survey data, statistical models, and AI-generated analyses to extract meaningful editorial insights., • Familiarity with quantitative and computational analysis concepts, including sampling, weighting, regression, machine learning, and confidence intervals., • Demonstrated success in producing or editing reports or stories grounded in quantitative and algorithmic evidence., • Excellent ability to translate complex findings into clear, engaging narratives that resonate with medical professionals., • Strong project-management and communication skills; able to coordinate across analytics, design, AI, and editorial teams., • 5+ years of experience in multimedia formats (interactive graphics, video explainers, podcasts, or data dashboards)., • Bachelors degree required; advanced degree in journalism, data science, statistics, AI, or public health preferred. Ideal Candidate • You have a journalists curiosity, a data scientists precision, and an AI researchers analytical mindset. You know how to turn spreadsheets and models into stories, and you see patterns where others see noise. You are driven by accuracy, fascinated by emerging technologies, and motivated by helping healthcare professionals understand the data shaping their work.

A leading financial services organization is seeking an experienced Marketing Analytics / Data Scientist to support marketing and campaign analytics initiatives. This role blends technical expertise with business acumen to deliver actionable insights, optimize campaign performance, and elevate data capabilities across the enterprise. Keywords: MMM, Financial Services, Data Science, Predictive Models, ML/AI Responsibilities • Interpret business requirements and independently conduct analysis, build reports, and develop dashboards and models o support marketing and strategic initiatives., • Translate complex analytical findings into clear, compelling narratives for non-technical stakeholders and senior leadership., • Identify and recommend new data capabilities to support strategic goals; collaborate with data enablement teams to implement solutions., • Engage directly with business partners to understand data needs and respond to ad hoc requests., • Execute advanced data queries, reconcile datasets, and synthesize results into executive-level insights., • Champion a data-driven culture by mentoring analysts and enhancing data literacy across internal teams. Qualifications • Master’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Data Science, Economics)., • Minimum 2 years of experience in a data analytics role within marketing of financial services, with hands-on expertise in large-scale data analysis and insight generation., • ALL: Campaign analytics, Digital Analytics; MMM and Reporting for financial services, • Proficiency in data modeling, data engineering, and analytics tools including Power BI, SQL, and Python (pandas, numpy)., • Experience developing models, reports and dashboards, • Strong communication, organizational, and interpersonal skills, with the ability to manage multiple priorities., • Proven ability to extract key insights and present findings to business audiences. Send your resume to

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, 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 design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering 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. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • 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-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • 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, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, 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. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • 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., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • 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. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • 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

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Perform pricing analyses, experience and profitability reviews and/or state rate filings, and support business units as needed. Build actuarial and business expertise, including the pursuit of the FCAS designation. Perform other projects and assignments as directed. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Responsibilities • Perform pricing and experience analyses, including communication of indications to business units and assessment of loss reduction options and/or state rate filings where applicable. Attend and participate in meetings to review results and recommendations with Underwriting when appropriate., • Assist in providing front line pricing support to Field Underwriting, Corporate Underwriting and senior management as necessary. Assist in provision to management of tools to drive appropriate policy level decision making. Provide front-line pricing support to business units on collaborative basis as needed., • Support strategic tools by monitoring changes to aggregate pricing levels and profitability through periodic analyses of the price monitor, planning/budgeting model and/or predictive modeling. Evaluate and communicate results to supervisor, business units and senior management when appropriate., • Prepare special reports, data compilations, analysis of company and industry experience, as well as other ad hoc analysis requests. Evaluate and communicate results when appropriate., • Assist in the maintenance of automated systems and pricing models., • Develop a foundational knowledge of the functions performed by the Actuarial Pricing function, and how the unit relates to other functional areas of the organization. Knowledge and Requirements • Requires solid actuarial and analytical skills, along with a developing financial acumen., • Effective communication and interpersonal skills also required. Education and Experience • College Degree in Mathematics, Actuarial Science, Statistics or Economics preferred. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $87,000.00 - USD $113,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

POSITION SUMMARY This position serves as a key member of Clinical Development team, supporting multiple programs in oncology/immunology across all stages of development. The position is responsible for providing study/compound level statistical expertise and leadership by assuming responsibility for innovative study designs, statistical methodology, data analysis, interpretation, and regulatory interactions. POSITIONS RESPONSIBILITIES • Works with clinical trials physician(s), to direct and support the planning and implementation of clinical programs to meet corporate and clinical research goals., • Serves as a statistical lead for one or more oncology/immunology clinical trials, facilitates the coordination of all statistical activities for these clinical trials., • Provides scientific support by interpreting safety and efficacy results data, including gathering, analyzing, reviewing, interpreting, and providing preliminary assessments and recommendations., • Participates in the design and review of clinical protocols and case report forms for clinical trials including the preparation of statistical considerations sections, sample size calculations, interim looks, randomization, and study design recommendations. Produces statistical section of clinical protocol., • Creates and implements statistical analysis plans and specification documents, • Contributes to database lock, statistical analysis plans, and preparation of Clinical Study Reports and other clinical/regulatory submission documents., • Communicates study results including internal communication as well as manuscripts, or oral presentations in scientific meetings, • Provides guidance to programmers and analysts on statistical procedures, • Identifies and works with existing external statistical experts for consultation, • Develops and implements innovative statistical methodology TECHNICAL QUALIFICATIONS • PhD. or M.S. in biostatistics, statistics, mathematics, or related field., • At least 7 years of experience in pharma, biotech, or a related sector., • Comprehensive understanding of the drug development process from Phase I to Phase III., • Solid understanding of all functional area responsibilities associated with clinical development process, • Advanced knowledge of clinical study designs and statistical methodologies for analysis, • Ability to effectively collaborate with internal/external colleagues and stakeholders, • Comfortable working in a multi-national, matrix environment, • Leadership/influencing skills, excellent skills in oral and written communication., • Manages conflicts/issues with internal and external partners and customers, • Able to anticipate, recognize and resolve problems/issues that may impact timelines and deliverables, • Proficiency in statistical programming languages/software such as SAS, R etc., • Well-versed in the clinical and regulatory requirements for global submissions

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Drives finance-related projects and coordinates with other departments to ensure proper financial reporting, including ensuring the control environment is maintained. Ensures accuracy in accordance with Generally Accepted Accounting Principles (GAAP), Statutory Accounting Principles (SSAP) and the company's policies and procedures. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Responsibilities • Coordinates schedules, activities, communications, and drives the projects for the finance team. Responsible for coordination and communication with the IT department and Enterprise Project Management Office, along with Financial Systems manager., • Prepares monthly financial reports and statistics related to the projects., • Prepares various schedules for external auditors, as needed., • Responsible for all project budgets and status reports., • As related to the projects engaged in, will understand, oversee and schedule activities of the project, including but not limited to, the impact of the financial close., • Keeps current on available technology, and how technology can enhance our environment. Responsible for building a business case for new technology or enhancements to existing technology., • Contemplates, coordinates and documents impact of projects on the company's control environment., • Ensures implemented projects comply with Generally Accepted Accounting Principles (GAAP) and statutory regulations. Knowledge and Requirements • Knowledge of GAAP and/or SSAP, • Knowledge of general ledger accounting software packages, • Knowledge of account reconciliation, general ledger maintenance, and financial statements preparation, • Excellent written and verbal communication skills, • Strong working knowledge with MS office applications Education and Experience • Bachelor's degree in Accounting preferred, • Five to Eight years of accounting experience Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $106,000.00 - USD $146,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective is recruiting for an Sr. Vice President of Investor Relations. This position leads the strategy and execution of the company's Investor Relations program, translating underwriting and investment results, strategy, and long-term value creation into clear, consistent communications for investors, analysts, and rating agencies. This leader serves as a strategic advisor to the CFO, CEO, and Board of Directors, ensuring disclosure quality, guidance discipline, and strong market engagement. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements, including Regulation Fair Disclosure. This position will be located in our future Short Hills, N.J. location. Until the new Short Hills headquarters is operational, the successful candidate will work in our Branchville, N.J. location during the interim. Responsibilities • Strategic Leadership & Market Advisory: Shape Selective's financial and strategic narrative and advise on messaging implications of market trends and investor sentiment. Serve as the key point of contact for the investment community. Build a strong rapport with management and investors to position key corporate messages. Respond to shareholder, analyst, and employee requests for information., • Business Development: Partner with the CFO and executive leadership on business development initiatives, including acquisitions, partnerships, and strategic capital solutions., • Investor Communications: Own quarterly IR deliverables: earnings release, conference call script and Q&A preparation, investor presentation, and related SEC materials-applying Regulation FD principles to avoid selective disclosure and ensure broad dissemination. Partner with FP&A, Accounting, Actuarial, Treasury, and Legal to assure accuracy and consistency across guidance, commentary, and filings., • Financial Analysis & Market Intelligence: Evaluate external trends and industry dynamics. Proactively communicate key insights to Executive and Senior leadership to inform the execution of organizational priorities. Benchmark stock performance vs. P&C peers, track estimate revisions, ownership changes, and valuation drivers; synthesize implications for management and the Board. Analyze quarterly results and compile company, peer, and industry statistics for use in discussions with the investment community, including quarterly investor presentations., • Events & Relationships: Lead investor days, roadshows, conferences, earnings conference calls, and rating agency touchpoints; target and cultivate strong investor relationships; prepare executives with briefing books and key messages. Provide ongoing dialogue and contact with the investment community regarding the company's operating results and strategy., • Capital Markets & Rating Agencies: Collaborate with Treasury on capital actions (dividends, repurchases, debt, & insurance-linked securities issuance) and associated communications. Support rating outcomes by engaging with rating agencies on capital adequacy frameworks. Transparently communicate financial performance, strategy, and rating sensitivities., • Compliance & Governance: Maintain rigorous disclosure controls and governance standards; oversee timely, accurate reporting and adherence to Reg FD., • Investor Sentiment & Market Insights: Provide senior management with feedback on discussions with the investment community and commentary on market and industry events. Knowledge and Requirements • Deep knowledge of Finance, Accounting, and Economics., • Exceptional executive communication, financial modeling, valuation, and stakeholder management skills., • Strategic storytelling capability, converting actuarial and finance insights into a cohesive narrative for investors, maintaining discipline and clarity., • Stakeholder leadership by earning trust with investors, analysts, and rating agencies through consistency, data integrity, and responsiveness., • Champions robust disclosure controls and alignment with Reg FD. Education and Experience • P & C Insurance experience is preferred. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $241,000.00 - USD $332,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Description Summary #LI-Hybrid Novartis has an exciting opportunity for a Director, Analytics Standards & Impact Measurement. This role is responsible for establishing enterprise-wide standards for advanced AI, ML, and data science rigor, defining measurement frameworks, and quantifying the business impact of all analytics and AI initiatives across Commercial Analytics. By ensuring that analytics outputs, whether built by expert data scientists or citizen data scientists using self-serve platforms, meet the highest standards of AI/ML validity, regulatory compliance, and business value, this director enables democratized, trustworthy analytics at scale while measuring and communicating the return on analytics investments. This position will be located at the East Hanover, NJ site and will not have the ability to be located re-motely. This position will require 15% travel as defined by the business (domestic and/ or international). Job Description Key Responsibilities • Define enterprise-wide AI, ML, and data science standards embedded into self-serve analytics platforms, ensuring citizen data scientists follow rigorous methodologies automatically., • Establish model validation protocols, testing frameworks, and quality gates built into automated workflows for predictive models and AI solutions., • Create standardized methodologies for common use cases (patient predictive models, HCP targeting, driver analysis) that can be templatized for citizen data scientists., • Define enterprise-wide frameworks for measuring analytics impact including lift analysis, ROI calculation, incrementality measurement, and business value assessment., • Execute enterprise-level impact measurement studies to quantify business value of analytics initiatives and report quarterly/annual ROI to leadership., • Establish production-readiness criteria for AI/ML models from self-serve platforms, including quality thresholds, documentation requirements, and approval workflows., • Ensure all AI, ML, and data science outputs meet regulatory requirements ( HIPAA, GDPR, promotional review) and partner with Legal, ERC, and Medical Affairs on governance., • Advanced degree in Data Science, Machine Learning, Statistics, or related quantitative field; or bachelor's degree with 10+ years relevant experience., • 10+ years of experience in data science, machine learning, advanced analytics, or AI development., • 5+ years of leadership experience setting AI/ML standards and measuring impact in commercial pharma or healthcare., • Expert knowledge of advanced analytics methodologies: machine learning, causal inference, experimental design, predictive modeling, AI validation., • Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications., • Proficiency in data science/AI programming and AI/ML platforms., • Proven ability to influence without direct authority and drive adoption of AI/ML standards across diverse teams., • Experience with self-serve analytics and AI platforms and embedding governance into automated workflows., • Strong business acumen with ability to measure and communicate ROI of AI/ML initiatives to C-suite., • Systems thinker who can balance AI/ML rigor with practical business needs and timelines., • Experience building communities of practice and enabling citizen data scientists in AI/ML development. The salary for this position is expected to range between $194,600 and $361,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Agile (Programming Methodology), Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision, Visualization

Job Description Summary This position will be located at the East Hanover, NJ location and will not have the ability to be located remotely. This is 1 of 2 roles. Job Description The Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic growth across the organization. This position plays a vital role in integrating AI-driven solutions across various platforms, fostering collaboration between the US commercial team and the India-based data science team. By championing the exploration of cutting-edge AI technologies, the Director ensures that our strategies are informed by the latest advancements in generative AI and large language models (LLMs). This role will collaborate with other members of the IDS AI and Innovation team members to create, pilot, and scale AI tools to support broader goals of the IDS strategy to transform business processes and outcomes. Key Responsibilities: • Lead the development and deployment of scalable AI solutions, focusing on advanced AI applications across various business units. Be prepared to engage in hands-on work when necessary to support the team and further our data science initiatives. * Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services. * Drive innovation by staying current with advancements in AI, particularly in generative models and LLM technologies. * Champion the exploration and integration of cutting-edge AI technologies, particularly in the field generative AI. * Act as a key liaison between the US commercial team and the India-based data science team. * Stay abreast of state-of-the-art foundation models and other innovative trends in data science and leverage these insights to inform our strategies. * Bring a "can-do" attitude and teamwork and inspire others on culture change. * Acts as an AI role model, championing a culture that embraces cutting-edge AI technologies and encourages experimentation and adoption of best practices Experience: Novartis is seeking an individual with proven experience working with machine learning models. They should have a strong ability to support cross-team development of AI programs. A firm commitment to driving continuous improvement in AI solutions, informed by current innovations, is vital to this role. Essential Requirements: • Advanced degree in Computer Science, Engineering, Statistics, or related field Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industryis preferred. * Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure * Strong understanding of deep learning algorithms, foundational/ LLM models, statistics, and recommendation system * Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, Cohere, and their applications in real-world scenarios. * Ability to operate in a hands-on capacity when necessary. * Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch * Experience with digital channel selection for "next best action" * Excellent problem-solving skills and ability to identify creative solutions to complex problems * Strong ability to effectively communicate and work across different time zones The pay range for this position at commencement of employment is expected to be between: $194,600.00 and $312,400.00 a year; however, while salary ranges are effective from 1/1/25 through 12/31/25, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $194,600.00 - $361,400.00 Skills Desired Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (ML), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis

Job Description Summary Onsite #LI-Onsite East Hanover, New Jersey About the role: The Statistical Programming community at Novartis comprises of approximately 350 (internal) statistical programmers and belongs to the Advanced Quantitative Sciences (AQS) organization which also includes more than 450 biostatisticians, pharmacometricians and data scientists supporting the entire portfolio of clinical projects across the Research, Development and Commercial spectrum. In this role, you will be responsible for all statistical programming (SP) aspects of several studies, a medium to large sized program or program-level activities (incl. submission and post- marketing activities). You will be a key collaborator and strategic partner with cross-functional team members within the clinical trial/program, ensuring the integrated/ clinical development/ evidence plans are executed efficiently with timely and high-quality deliverables Job Description Your Key Responsibilities: * Lead statistical programming activities as a trial programmer for one or multiple trial(s) or as a lead/ program programmer for a program or an indication. * May coordinate activities of internal/ external programmers. Make SP decisions and propose strategies at study, program or indication/ disease level. * May act as functional manager of associates including providing supervision and guidance to these programmers on operational / functional expertise and processes. * Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical programming aspects (timelines, scope, resource plan), e.g. as statistical programming representative in study- or program-level team. * Review eCRF, data structures, and ensure program-level standardization for effective pooling and efficient case record tabulation (CRT) production. * Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. program-level strategies). * Provide and implement statistical programming solutions; ensure knowledge sharing. Act as programming expert in problem-solving aspects. * Ensure timely and quality development and validation of datasets and outputs for clinical study reports (CSRs), regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses (as required) in the assigned drug development studies/program. * Responsible for quality control and inspection readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results. * Maintain up-to-date advanced knowledge of programming software (e.g. SAS, R) as well as industry requirements (e.g. CDISC, eCTD, Define.xml). May act as subject matter expert (SME) on process improvement/non-clinical initiatives with a focus on programming. Video Link ___ This position will be located at the East Hanover, New Jersey site and will not have the ability to be located remotely. Role Requirements: Essential Requirements: * BS degree in statistics, computer science, mathematics, life science or equivalent relevant degree and 7+ years of work experience in a programming role preferably supporting clinical trials/ or in pharmaceutical industry * Experience as Trial/Lead/Program Programmer for several studies or project-level activities, including coordination of team of internal or external programmers on a given study/program, ability to transfer own knowledge to others * Expert SAS/R experience and proven skills in the use of SAS/R within a Statistical Programming environment to develop and validate deliverables, proven experience in development of advanced MACROs * Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications * Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs * Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures) * Proven communications and negotiation skills, ability to work well with others globally and influence Desired Requirements: * MS or Ph.D degree in statistics, computer science, mathematics, life science, or equivalent Novartis Compensation and Benefit Summary: The salary for this position is expected to range between $119,700 and $222,300 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click ___. Why Novartis: Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: ___ You'll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. Accessibility and Reasonable Accommodations: The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: ___ EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $119,700.00 - $222,300.00 Skills Desired Classification Systems, Clinical Trials, Computer Data Storage, Computer Programming, Cross-Functional Teams, Data Analysis, Data Structures, Initiative, Programming Languages, Reporting, Statistical Analysis

Job Description Summary Onsite #LI-Onsite East Hanover, New Jersey About the role: The Statistical Programming community at Novartis comprises of approximately 350 (internal) statistical programmers and part of the Advanced Quantitative Sciences (AQS) organization which also includes more than 450 biostatisticians, pharmacometricians and data scientists supporting the entire portfolio of clinical projects across the Research, Development and Commercial spectrum In this role, you will be responsible for all statistical programming aspects of one or more drug development programs or indication programs. This role may involve being a people manager, a program lead, or both. You will lead cross-functional collaboration within and outside AQS and decision-making for assigned trials/programs in drug life cycle management and efficient, timely execution of integrated/clinical development/evidence plans. You will also take on strategic technical roles across programs or at an enterprise level. This includes, but is not limited to, consulting on pooling strategies, acting as a subject matter expert (SME) at audits/inspections, and leading technical non-clinical initiatives. You will engage with and influence industry working groups and organizations. Job Description Your Key Responsibilities: * Lead statistical programming activities for multiple clinical trials within a program or an indication /disease area, or development program. * Accountable for timely and quality development and validation of all statistical programming components on assigned program(s). Responsible for audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results. * Coordinate activities of internal / external programmers. Make statistical programming decisions and propose strategies at program or indication/disease level. Develop scientific documentation for the program(s) or indication/disease area together with the Biostatistician(s). * Responsible for allocating resources within a program and ensuring resource sharing between programs to meet AQS and organizational goals. * May act as an operational and/or functional manager of associates including providing supervision and guidance to these programmers on operational / functional expertise and processes. * Recruit, mentor, and develop statistical programmers. * Build and maintain effective working relationships with cross-functional team members within the clinical trial/program, and able to summarize and discuss status of deliverables and critical programming aspects with them (timelines, scope, resource plan). * Maintain up-to-date advanced knowledge of programming software (e.g. SAS/R) as well as industry requirements (e.g. CDISC, eCTD, Define.xml), attend functional meetings and training. * Represent statistical programming at indication or program-level, in audits/inspections and Health Authority (HA) meetings, and on technical programming aspects in external conferences or consortiums (e.g. CDISC). * Offer expert technical and professional recommendations, thought leadership for the SP function at the indication/ program level or for non-clinical initiatives. Video Link ___ This position will be located at the East Hanover, New Jersey site and will not have the ability to be located remotely. Role Requirements: Essential Requirements: * BS/MS degree in life science, computer science, statistics, mathematics, or equivalent relevant degree and 6+ years in a programming or statistical role. * 3+ years experience in a line management or equivalent leadership experience, such as matrix management (applicable for people managers only). Demonstrated leadership, collaboration, and organizational skills with the ability to successfully manage and oversee multiple trials simultaneously, ensuring deadlines are met. * In-depth understanding of clinical trials methodology, regulatory requirements, and Good Clinical Practice (GCP) * Expert in SAS or R programming, including the development and validation of deliverables within a Statistical Programming environment, and the creation of advanced MACROs and/or functions. * Significant experience in contributing to statistical analysis plans and developing technical programming specifications. * Advanced knowledge of industry standards, including CDISC standards, and a solid understanding of the development and use of standard programs. * At least 2+ years of experience as a Lead/Program/Project Programmer for one or more programs/indications, including the coordination of large teams of internal and/or external programmers. * Excellent interpersonal skills with a proven ability to operate effectively in a global environment, influencing and communicating across functions and with external stakeholders. Desired Requirements: * 10+ years experience in a programming or statistical role equivalent Novartis Compensation and Benefit Summary: The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click ___. Why Novartis: Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: ___ You'll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. Accessibility and Reasonable Accommodations: The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: ___ EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $145,600.00 - $270,400.00 Skills Desired Classification Systems, Clinical Trials, Computer Data Storage, Computer Programming, Cross-Functional Teams, Data Analysis, Data Structures, Initiative, People Management, Programming Languages, Reporting, Statistical Analysis, Waterfall Model

Job Description Summary This position will be located at East Hanover, NJ site and will not have the ability to be located remotely. "Please note that this role would not provide relocation and only local candidates will be considered." The Therapeutic Data Strategy Director (TDSD) bridges science and operations by defining how the clinical data strategy is operationalized across the complete data flow within GCO. The TDSD is responsible for ensuring data regulatory compliance, the availability of End-to-End (E2E) standards, that instruments and devices are thoroughly discussed, defined, and finalized prior to the database build and that the operational impact of any new changes are known, costed, mitigated, and captured in the appropriate knowledge database. In collaboration with the GPT, the TDSD aligns on the fit for purpose data package as part of a program / indication level quality by design to support data strategy needs in the drug development lifecycle of a molecule or across therapeutic area (TA) within an assigned unit in Novartis. #LI-Onsite Key Responsibilities: Operational Execution of the Program Strategy: • Lead, establish and maintain a data strategy for the design, collection, processing, transformation, reporting and submission of clinical data, • Cost and impact assessment of proposed data collection, analysis, and reporting, • Drive capability inputs to data team's resource algorithm based on future incoming demands, • Matrix data operations leader who is the single focal point for the sustained industry leading cycle time for data product, • Ensures the provision of resource with the skillset to develop robust & lean E2E specification during the initial set up stage., • Leads the full spectrum of standard development and compliance across their portfolio., • Consults to drive quality into the study protocol and operational processes., • Driving implementation of a lean global data strategy and define fit for purpose data requirements, • Ensure the fit for purpose data requirements remain intact and understanding the operational impact e.g., cost, resources, and time of any amendments as well as work with clinical development, analytics, and regulatory line functions to understand the scientific, clinical, statistical and regulatory impacts., • Support assessment on opportunity to capitalize on non-traditional options (e.g., historical data, synthetic data, cross-sponsor shared control arms IMI EU-PEARL, adaptive designs, pragmatic trials, decentralization, etc.)., • Work with Clinical Operational Program Head (COPH) and Vendor Program Manager (VPM) to define the provision of ancillary data, including vendor capabilities., • Author the Clinical Data Section of Operational Execution Plan (OEP) (key customers, dataflow, and targets to generate Data-as-a-Product (DaaP) etc.). End-to-End Ownership of the Clinical Data Flow: • Drives implementation of a lean global data strategy and defines fit for purpose data quality requirements sufficient to support good decision making and meet regulatory requirements., • Collaborates cross-functionally to define quality by design review process to ensure fit for purpose data quality sufficient to support good decision making., • Drives standards and processes to facilitate data right the first time. End-to-End Standards Oversight & Lifecycle Management: • Responsible for compliance with data requirements and the availability of end-to-end clinical data standards (data collection through analysis) for a program/molecule/indication., • Influence and support the design of new clinical data standards as required at the enterprise/ therapeutic area level., • Final governance decision maker for adoption and maintenance of data standards., • Drives / defines program level vendor data transfer specifications. Operational Project Management: • Develop, communicate, and drive implementation of a global data operationalization strategy to deliver value-adding data; TDSD supports and guides the Data Team (as part of the CTT) in ensuring the overall program /OEP strategy is aligned with execution., • Establish key customers of Clinical Data and establish approach for future consumption., • Works with the business to ensure adherence to timelines, adoption of the data strategy and delivery of the target data product quality., • Influencer and interlocutor for adoption and compliance on business process and objectives related program data strategy., • Assesses / approves changes that impact the data collection, analysis and reporting strategy. Job Description Requirements: • Minimum: Bachelor's degree in life sciences, preferably with a statistics module., • A minimum of 15 years in a R&D regulated environment in a relevant pharmaceutical or health care company. Strongly Preferred, • Excellent understanding of end-to-end clinical data processing and the clinical trial operations space., • Extensive knowledge and experience in ICH-GCP Process Control or ICH-GCP Quality Assurance systems and Health Authority regulations; Clinical Operations experience in these areas is preferred. Novartis Compensation and Benefit Summary: The pay range for this position at commencement of employment is expected to be between $168,000yr and $312,000/yr; however, while salary ranges are effective from 1/1/25 through 12/31/25, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills, and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $168,000.00 - $312,000.00 Skills Desired Clinical Trials, Data Architecture, Data Governance, Data Integration, Data Management, Data Products, Data Quality, Data Science, Data Strategy, Drug Development, Global Project Management, Operations, People Management

Job Title: Senior AI/ML Research Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local CACI has an exciting new opportunity in Florham Park, NJ for a Senior AI/mL Research Engineer. Apply machine learning, statistics, and best-of-breed AI capabilities to develop algorithms to solve challenging problems in networking, edge computing, cybersecurity, and autonomy. Research and develop innovative capabilities that incorporate machine learning and other advanced concepts in areas such as federated learning, network analysis, resource allocation & planning, and robust communications in challenging networking environments. Develop machine learning and statistics-enabled software capabilities and applications to be integrated into larger hardware and software systems. Lead technical efforts and interface with customers. Assist in developing new business concepts and successfully develop winning proposals to secure additional funding and work. Responsibilities: • Develop and justify the performance of algorithms in networking and edge computing-related domains., • Perform extensive detailed modeling and simulation, including quantifying the relative impact of candidate solution architectures., • Supervise projects and oversee the development of standalone applications and/or major software subsystems and components while adhering to software best practices., • Develop detailed technical plans with tasks, schedule, and labor estimates., • Develop automated tests to rigorously test and evaluate algorithms and software capabilities., • Act as a technical leader during proposal development and project execution., • Master’s degree in computer science, computer engineering, or machine learning and at least 5 years’ experience., • Experience developing algorithms, protocols, and software applications in networking, edge computing, and/or autonomy., • Strong background in machine learning and statistics., • Significant experience with Python and C++., • Comfortable using Linux operating systems and commonly used Linux utilities., • Some advanced knowledge of computer networking, including TCP/IP networking/OSI model, routing algorithms, Linux networking utilities and interfaces., • Ability to anticipate strengths and weaknesses of software solutions and perform simulation, testing, and evaluation to quantitatively compare alternative approaches., • Ability to effectively articulate research and development outcomes to senior staff and customers and act as a technical representative of the team., • Excellent oral and written communications skills., • Demonstrated effectiveness in leading, organizing, and executing technical efforts., • Must be a US Citizen with the ability to obtain, maintain and/or transfer the required security clearance as dictated by the contract, • Ph.D. in computer science, computer engineering, or machine learning., • Experience applying machine learning to signal processing and/or other time-series data analysis applications., • Experience with probabilistic generative modeling and Bayesian inference., • Knowledge of or experience with information theory, probability theory, parametric and non-parametric statistical tests., • Familiarity with concepts and techniques associated with adversarial AI and AI/ML assurance., • Top Secret clearance (SCI preferred). What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $113,200 - $237,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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

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. JOB SUMMARY: As a member of the Data Analytics group, the Associate Director, Commercial Analytics is part of a high performing team that provides actionable, innovative solutions to address key business questions & opportunities. The position requires a person who can work independently with limited supervision and feel comfortable working across a complex matrix environment including interaction with third party vendors and consultants, Eisai management and current and potential partner companies. Documented expertise in a variety of disciplines is a plus in this position. KEY RESPONSIBILITIES: • This position will be responsible for providing analytics support and recommendations to senior sales, marketing, and market access leadership regarding various initiatives, targeting efforts, analyses and ad-hoc queries., • Proactively identify solutions to field needs with existing report data. Lead the review of recommended solutions with field leadership for confirmation and development of action plans. Build training documents to ensure optimal use of tools., • As "Subject Matter Expert" this position interprets key business reports providing business insights/cause effect pertaining to the reported information., • This position develops and maintains reporting and validation testing standards for the department, and monitors compliance with these standards., • Oversee data quality management process for assigned brand/s with external and internal data providers to ensure timely, accurate and complete patient and specialty pharmacy data., • Per assigned business responsibility, this position interacts with field and home office personnel to understand the business information needs, make recommendations and documents necessary reporting requirements. Additionally, this position acts as the key "go-to person" for resolving field reporting and data inquiries issues. • This position works closely with Field Sales through regular feedback meetings and surveys to continually improve systems and processes aimed at increasing Field effectiveness and company performance., • Develop & maintains business rules/ SOP documentation with internal stake- Lead Third Party Agreements and Vendor Management for assigned business group REQUIREMENTS: • Bachelor's Degree (BS/BA) in an analytic discipline - engineering, mathematics, statistics, economics, etc. Master's degree in a similar field or an MBA preferred, • Summarize, analyze, prepare, present various reports and findings in a clear/concise manner, • Strong Knowledge of third party pharmaceutical sales and script data (DDD, NSP, Xponent, DataView, longitudinal patient data, claims data, etc.), • A minimum of 10 years' experience in the pharmaceutical industry specific to commercial operations or related field is required, • Deals with concepts and complexity comfortably, • Excellent administrative, organizational, project management and analytical skills are required, • Customer focused with excellent communication skills and ability to work with all levels within organization, • Experience in working with IT staff as well as familiarity with Veeva and storage/organization, data access for organizational consumption, • MS Excel, PowerPoint and BI tools (MicroStrategy, Tableau, etc.) -Intermediate to Advanced user, • Prior consulting experience a plus, • Finely tuned attention to detail, • Excellent organizational skills and the ability to balance multiple demands, • Excellent communication, presentation and interpersonal skills, • Proven and successful team player, • This role is hybrid and requires working in our Nutley, NJ office 3 days per week (Tuesday, Wednesday and Thursday) Skills:Advanced Data Analytics, Business Acumen, Communication & Cross-functional Influence, Critical Thinking & Business Agility, Data Governance Expertise, Market Research Skills, Mentoring/ People Development Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Commercial Analytics is from :$174,900-$229,500 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. 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:

Job Description: • Stefanini is seeking an Executive Editor, Insights with advanced data fluency and a strong background in data journalism and AI to lead the creation of high-impact editorial products that translate quantitative findings into meaningful insights for healthcare professionals., • This editor will oversee flagship Reports franchise including physician compensation, lifestyle, and sentiment surveys as well as emerging AI-driven, data-focused features that help readers understand trends in medicine, practice management, and clinician well-being., • The ideal candidate is a data-literate, AI-savvy editor who is as comfortable interpreting complex analyses and algorithmic models as they are shaping compelling, evidence-based stories. This person will collaborate closely with analytics, research, and AI innovation teams to identify significant patterns, ensure statistical and methodological integrity, and surface insights that guide editorial strategy and deepen audience engagement. Key Responsibilities • Lead the development and execution of Reports and data-driven editorial series, from concept through publication., • Partner with research, analytics, and AI teams to design, refine, and interpret physician surveys, audience studies, and predictive analyses., • Analyze quantitative findings and AI-generated insights to identify trends, correlations, and signals that can be transformed into clear, credible stories., • Use AI to create and edit data visualizations, infographics, dashboards, and interactive tools in collaboration with designers and data visualization specialists., • Think creatively about new multimedia formats and AI-enhanced storytelling methods including visuals, audio, and video that make data and insights more accessible and engaging., • Ensure that survey methods, AI models, and data analyses meet the highest standards of accuracy, transparency, and reproducibility., • Develop editorial frameworks for tracking metrics across specialties, audience segments, and timeframes to inform ongoing coverage., • Write and edit features that contextualize quantitative and AI-driven findings within broader clinical, social, or economic narratives., • Mentor editors and writers on interpreting, validating, and applying data and AI insights in their reporting and editing., • Serve as the editorial liaison to data science, AI, and business intelligence teams to ensure alignment across content, analytics, and product strategies. Qualifications • Minimum of 8 years of experience in health, science, or business journalism, with at least 4 years focused on data journalism or data-driven storytelling. At least 1 year of experience using AI applications to assist in the creation of content., • Strong proficiency in Excel, Google Sheets, and data visualization tools such as Tableau, Data wrapper, Flourish, or Power BI, • Proficiency in databases and software like MySQL, • Proven ability to interpret survey data, statistical models, and AI-generated analyses to extract meaningful editorial insights., • Familiarity with quantitative and computational analysis concepts, including sampling, weighting, regression, machine learning, and confidence intervals., • Demonstrated success in producing or editing reports or stories grounded in quantitative and algorithmic evidence., • Excellent ability to translate complex findings into clear, engaging narratives that resonate with medical professionals., • Strong project-management and communication skills; able to coordinate across analytics, design, AI, and editorial teams., • 5+ years of experience in multimedia formats (interactive graphics, video explainers, podcasts, or data dashboards)., • Bachelors degree required; advanced degree in journalism, data science, statistics, AI, or public health preferred. Ideal Candidate • You have a journalists curiosity, a data scientists precision, and an AI researchers analytical mindset. You know how to turn spreadsheets and models into stories, and you see patterns where others see noise. You are driven by accuracy, fascinated by emerging technologies, and motivated by helping healthcare professionals understand the data shaping their work.

Job Posting Title: Research Interventionist (Korean-speaking RN) Hiring Department: School of Nursing Position Open To: All Applicants Weekly Scheduled Hours: 10 FLSA Status: Non-Exempt Earliest Start Date: Immediately Position Duration: Expected to Continue Until Aug 31, 2025 Location: UT MAIN CAMPUS Job Details: Purpose To perform part-time research intervention duties at the School of Nursing, under the supervision of Dr. Wonshik Chee. This study is to investigate the promotion of a web-app based physical activity program. Responsibilities * Weekly Interventions: Conduct weekly interventions with participants via chat in Simplified Korean or English. * Procedural Tasks: Maintain a research diary, manage communications for participant payments and Fitbit distribution, and coordinate with the Principal Investigator (PI), Coordinator, and peer interventionists. * Recruitment Activities: Engage in recruitment activities to support the study. Required Qualifications * Licensure: Current Registered Nurse (RN) license within the U.S. * Language Proficiency: Fluency in Korean and English (both spoken and written) * Communication Skills: Strong interpersonal and communication skills * Technical Skills: Basic proficiency in Zoom, MS Office, Microsoft Teams, etc. * Flexibility: Ability to work according to participants' schedules in different time zones. Salary Range $36.00 hourly Working Conditions * Research interviews will be conducted remotely via chat and/or video call. Work Shift * Work hours vary based on patient interview availability. Required Materials * Resume/CV * At least 1 professional reference (preferred 2). Please provide their name and preferred contact method (email or phone). * Letter of interest Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Description Summary Onsite #LI-Onsite East Hanover, New Jersey 200+ compounds in Novartis are supported by biostatisticians in 10+ sites around the globe. Biostatisticians transform clinical data into analyses that build the basis for making innovative drugs accessible for patients. They influence decision-making in cross-functional international teams from early to late phase drug development. We have an exciting opportunity for an Associate Director, Biostatistics to join a passionate team within Advanced Quantitative Sciences. Come to an industry leader where you will lead implementation of modern and innovative trial/experimental designs, statistical models, analysis and data exploration methodologies at the study or project level and you will be responsible for all statistical work, scientific and operational, in collaboration with the clinical trial teams and other quantitative partners. Job Description Your Key Responsibilities: * Accountable for strategic statistical input and influence into one or more studies or projects. * Plan and execute exploratory analyses and statistical consultation within your cross-functional teams. * Lead development and implementation of innovation in statistical methodology and trial design. * Lead collaborations with medical and other strategic functions to drive quantitative decision making in drug development and enable successful impact on robust drug development plans. * Propose and implement innovative designs and methods to optimize drug development. * Plan, prioritize and oversee study level activities and ensure efficient resource management within or across franchise and effective partnership with vendors. * Effective partnership with other functions to ensure integrated quantitative input into project. * Develop and mentor biostatisticians Video Link ___ This position will be located at the East Hanover, NJ site and will not have the ability to be located remotely. Role Requirements: * PhD with 6+ years' experience preferred or MS with 10+ years' experience with a degree emphasis in in Statistics, Mathematics or equivalent * Advanced knowledge of applying statistics and innovative approaches expert knowledge in a variety of statistical areas * Influences decisions that directly impact the project and department ability to deliver objectives * Record of successful implementation of novel methods and/or innovative strategies in drug development * Strong interpersonal and communication skills bridging scientific and business needs Desirable Requirements: * Prior experience with drug development needs and activities Novartis Compensation and Benefit Summary: The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click ___. Why Novartis: Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: ___ You'll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. Accessibility and Reasonable Accommodations: The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: ___ EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $145,600.00 - $270,400.00 Skills Desired Automation, Biostatistics, Clinical Trials, Computer Programming, Cross-Functional Teams, Data Analytics, Decision Making Skills, Metadata Management, Statistical Analysis

The salary range for this job posting is $77,450.00 - $123,921.00 annually + bonus + benefits. Pay Type: Salary The above represents the full salary range for this job requisition. Ultimately, in determining your pay and job title, we'll consider your location, education, experience, and other job-related factors, and will fall within the stated range. Your recruiter can share more information about the specific salary range during the hiring process. This role will work remote. Ideal candidates will have experience with Package, Auto and Workers' Compensation and reside ideally in NW New Jersey. This role will also service the Philadelphia, Pennsylvania area. The salary range for candidates in New Jersey or Pennsylvania is $83,771 - $134,031 annually + bonus + benefits. Pay Type: Salary We may hire a senior level which is on a higher salary range. A company vehicle will be provided for this role. The position will report to a Director, Safety and Loss Control. Are you a Referral? If you know a current Encova Insurance associate and would like to apply as a referral, please encourage them to submit your referral information before you submit your application. You will receive an email with a direct URL link to the Job Posting of interest. Applying through this URL link will create your referral relationship for our Talent Acquisition Team. Unique residence requirements are listed in each job posting, please review closely for details. Encova is only able to employ associates who reside and work within specific U.S. states. Our current policies are based on the laws in states in which we are registered for payroll. Our current footprint includes: Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, West Virginia, Wisconsin. JOB OBJECTIVE: The Safety and Loss Control Consultant conducts loss analysis and research prior to conducting on-site occupational safety and loss prevention surveys to assess the policy holder's safety efforts and to detect occupational safety hazards to employees. The Safety and Loss Control Consultant prepares and submits reports of findings to management and makes recommendations to management to correct hazards and safety and loss control program needs. This position also participates in management training programs; researches literature, laws, standards and technical developments in the field of safety and loss control and provides the Underwriting Department with risk assessments in support of underwriting determinations. The Consultant works with standard to large accounts and accounts that present more complex hazard and safety issues. The Consultant may mentor and provide guidance to Safety and Loss Control Trainees as needed. The Consultant participates in training sessions for policyholders in conjunction with Senior Safety and Loss Control Consultants. This requires a vast working knowledge and experience with all aspects of loss control regarding all property and casualty coverages written by Encova: • General and Products Liability, • Workers' Compensation, • Property, • Auto/Fleet, • Risk Improvement ESSENTIAL FUNCTIONS: 1. Consults with policy holders to improve the occupational safety programs and performance leading to a safer and healthier workplace., 2. Provides underwriters with information concerning the level of safety of policy holders, 3. Evaluates policy holder safety programs and work sites for hazardous conditions, 4. Conducts simple Industrial Hygiene testing., 5. Researches literature, standards, laws, and rules to provide policy holders with effective solutions., 6. Develops cost effective methods to correct hazardous conditions., 7. Analyzes loss information to determine accident trends and provide policy holders with effective solutions., 8. Provides underwriting with accurate and timely reports on the hazards and the effectiveness of controls and the willingness of the policy holder to comply with recommendations to control hazards., 9. Keeps underwriting apprised of any changes in hazards or exposures through copies of reports to policy holders and special reports to underwriting., 10. Responds to requests from policy holders, underwriters, and other agencies in a timely fashion regarding safety issues., 11. Communicates ideas and issues with management to reach successful agreement through innovation, creativity, and compromise., 12. Provides leadership and motivation of the support staff to achieve loss control goals and objectives. OTHER FUNCTIONS: 1. Nonessential function: other duties as assigned. KNOWLEDGE, SKILLS AND ABILITIES: • Bachelor's degree from an accredited college or university required. Preferably in safety, industrial hygiene, engineering or related field., • Preference may be given to applicants with master's degree in Safety or Industrial Hygiene from an accredited college or university., • Preference may be given to applicants with two years of full-time or equivalent part-time paid occupational safety management or occupational safety management consulting experience in industry or insurance., • Certified Safety Professional (CSP), Certified Industrial Hygienist (CIH), Certification as an Associate in Risk Management (ARM), Associated Safety Professional (ASP) are preferred., • Knowledge of the various core elements within the occupational safety and industrial hygiene process., • Knowledge of effective safety program management., • Knowledge of risk management as it relates to safety and industrial hygiene as an overall function of business in planning, leading, and directing its operations., • Knowledge of workers' compensation laws, policies and rules, as well as understanding of the principles of insurance and risk management., • Basic understanding of guaranteed cost, deductibles, retrospective rating plans and the impact of accident prevention on each plan., • Knowledge of the rating systems, methods of calculating experience modification factors and the elements of each formula., • Understanding of the U. S. Department of Labor Bureau of Labor Statistics loss information, formulas and principles of calculating incidence rates for policy holders., • Knowledge of basic business financial principles to analyze cost effectiveness and return on investment of recommended solutions to hazards and exposures., • Ability to make sound judgments and work independently, and to establish and maintain effective working relationships with other policy holders, policyholders, regulatory agencies, and labor communities., • Working knowledge of Microsoft Word, Excel and PowerPoint., • Ability to compile, analyze, and report on findings., • Knowledge of Federal OSHA MSHA, DOT and NFPA standards., • Ability to communicate effectively, both orally and in writing., • Ability to safely operate a motor vehicle., • Must hold a valid driver's license. This position has been evaluated in accordance with the Americans with Disabilities Act. Encova Insurance makes every effort to reasonably accommodate disabilities to permit performance of the essential functions and candidates who need such accommodation are encouraged to seek it. This description reflects the nature and level of work performed by associates in this position. It is not an all-inclusive inventory of duties, responsibilities and qualifications required. It provides an accurate overview of the work and skills needed to perform this position. Because job content may change from time to time, Encova Insurance reserves the right to add and/or delete functions from this job as it deems necessary for business reasons. Ready to join our team? At Encova Insurance, we firmly believe that our associates drive our company's success by delivering unrivaled service to our customers. With success in mind, we make an ongoing effort to provide an environment that offers challenging, stimulating, and financially rewarding opportunities. Join us to discover a work experience where you can learn and grow to your fullest potential. What you can expect from us In addition to a competitive compensation package, we offer a comprehensive benefits package designed to support the well-being and growth of our associates. Available benefits (subject to any policy or plan changes) include, but are not limited to: * Health, Dental & Vision Insurance * Company-provided life and income protection plans * Eligibility to participate in a company incentive bonus program * 401(k) Retirement Plan - 100% company match up to 7% on annual salary * Paid Time Off, Paid Holidays, and Floating Holidays * Flexible Work Arrangements - Hybrid and remote depending on the role We believe that happy, healthy associates are the foundation of great work. Join us and thrive both professionally and personally. Encova Insurance is an EOE/E-Verify employer. #LI-Remote#LI-MF1

Title: Professor of Practice - Biology of Health Department: Biological Sciences Reports To: Professor and Chair, Biological Sciences Position Type: Faculty Position Summary: The Department of Biological Sciences seeks a Professor of Practice in Biology of Health to serve as the Graduate Program Director for the department's Master of Science in Biology of Health (MSBH) program. This critical leadership position has a significant impact on the academic trajectory and professional success of students pursuing careers in medicine, dentistry, veterinary medicine, physician assistant studies, and other health-related fields. Additionally, the Professor of Practice will organize and lead the admissions committee for the department's postbaccalaureate program, overseeing the admissions cycle while implementing holistic review processes that align with institutional values of equity, diversity, and academic excellence, and will serve as the primary institutional liaison for partner institutions with whom the department has established articulation agreements. Essential Functions: Academic Advising and Student Development: -Serve as Graduate Program Director for the Master of Science in Biology of Health program. -Provide individualized academic and professional guidance to graduate students throughout their academic program. -Guide students through the health professional school application process, including composing a personal statement, preparing for interviews, and developing strategies for preparing for the Medical College Admission Test (MCAT). -Facilitate career and professional development programming aligned with students' academic and professional objectives. -Prepare committee letters and provide evaluative recommendations for students seeking admission to professional and graduate programs. -Teach classes related to the curriculum including developing new courses as needed. Admissions and Enrollment Management: -Chair the admissions committee for the postbaccalaureate program. -Assist with student recruitment and cultivate strong professional relationships with admissions personnel at medical schools, dental schools, and other health-related graduate programs to facilitate student placement and enhance the program's reputation. Program Assessment and External Relations: -Establish and maintain professional relationships with admissions personnel at medical schools and health-related graduate programs. -Cultivate strategic partnerships to enhance student placement and program reputation. -Maintain comprehensive tracking systems to document student outcomes, including application statistics, acceptance rates, and post-graduation career trajectories. Prerequisite Qualifications: -Terminal degree (MS, MA, Ph.D., M.D., D.O., or equivalent) in biological sciences, health sciences, or a closely related field. -Minimum of 3 years of experience in higher education, graduate program administration, or health professions advising. -Expertise in health professional school admissions processes and requirements -Strong interpersonal and communication skills with proven ability to mentor diverse student populations. -Commitment to fostering an inclusive and equitable learning environment. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Prior experience serving as a graduate program director or in a comparable leadership role. -Established relationships with admissions committees at medical or health-related graduate programs. -Experience with postbaccalaureate program administration. -Record of successful student placement in competitive health professional programs. -Familiarity with articulation agreements and inter-institutional partnerships. -Experience with program assessment and outcomes tracking. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the starting salary for this position is $77,500.00-$100,000.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Special Instructions to Applicants: -CV (required). -Cover letter (required). -List of 3 references (required). Apply NowShare Save Job

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role As a Senior Data Analyst, Risk & Fraud, you will leverage data and analytical techniques to detect, investigate, and mitigate fraud and financial risk across the business. You will transform large, complex datasets into actionable insights that support real-time decision-making and long-term risk strategy. This role partners closely with stakeholders across Fraud Operations, Payments, Risk, and Compliance to identify emerging threats, uncover patterns in user behavior, and enhance detection and prevention frameworks. You will play a key role in analyzing transactional activity, monitoring fraud trends, and driving data-informed improvements to controls and processes. This is a fast-paced, high-impact environment where success is defined by your ability to translate data into clear, evidence-based recommendations that reduce risk and improve operational efficiency. Responsibilities * Analyze large-scale transactional and behavioral data using SQL to identify fraud patterns, emerging threats, and key risk signals across the customer lifecycle. * Design and develop scalable analytics solutions and automations (e.g., Python, Streamlit - a plus) to support fraud detection, investigation workflows, and operational efficiency. * Build and maintain dashboards and monitoring tools (e.g., Power BI) to track fraud, payments, and risk performance metrics, reducing manual investigative effort. * Support the development and optimization of fraud detection strategies, rules, and risk indicators through data-driven analysis and testing. * Perform deep-dive investigations into suspicious activity (e.g., multi-accounting, geolocation anomalies, payment abuse) to uncover fraud networks and inform mitigation strategies. * Ensure data quality, integrity, and consistency across fraud and risk reporting through strong validation, documentation, and control processes. * Partner closely with Fraud Operations, Payments, Risk, and Compliance teams to translate analytical findings into actionable insights and measurable process improvements. * Communicate complex fraud trends and investigative findings clearly and effectively to both technical and non-technical stakeholders Qualifications * Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics), or equivalent experience in data analytics within risk, fraud, or payments * 3+ years of experience in data analysis within risk, fraud, payments, or a related domain * Strong analytical skills with proficiency in SQL and experience with data visualization tools (e.g., Power BI) * Experience working with Python for data analysis or automation (preferred) * Experience analyzing transactional or behavioral data to identify trends, anomalies, or risk signals * Excellent communication skills, with the ability to translate complex findings into clear, actionable insights for non-technical stakeholders * Strong problem-solving mindset with a focus on continuous improvement * Ability to work in a fast-paced environment, adapt to changing priorities, and deliver under tight deadlines * Proficiency with Microsoft Excel and PowerPoint for analysis and presentation of findings * Strong troubleshooting skills, with the ability to identify, investigate, and resolve data or process issues * Naturally curious, with a proactive approach to solving business and risk-related problems * Strong verbal reasoning and critical thinking skills * Data-driven mindset, using quantitative analysis to inform decisions and recommendations * Ability to understand stakeholder needs and translate them into effective analytical or technical solutions Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Title: Math Adjunct Department: Mathematical Sciences Reports To: Chair Position Type: Faculty Position Summary: The Department has part-time adjunct positions available particularly for courses such as Pre-Calculus, Calculus, Differential Equations, and Statistics & Probability. Essential Functions: Functions include, but are not limited to, teaching assigned course(s), maintaining student attendance records, and holding regularly scheduled office hours. Additional Functions: If assigned to a coordinated course, must participate in common exam proctoring and grading. Essential Characteristics: Must abide by the university's core values which include excellence, integrity, civility, social responsibility, diversity and communication. Prerequisite Qualifications: M.S. degree in Mathematics or Statistics or related field required. Preferred Qualifications: PhD preferred. Prior teaching experience strongly preferred. Prior teaching experience at the collegiate level is a plus. At the university's discretion, the education and experience prerequisites may be excepted where the candidate can demonstrate to the satisfaction of the university and the SPHS Leadership Council, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Bargaining Unit: AFT-UCAN Salary Information: In compliance with the NJ Pay Transparency Law, the rate for this position is $2668 per contact hour (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Exempt Part-Time Special Instructions to Applicants: Must have CV/Resume and cover letter attached. If available, please provide teaching evaluations with CV and cover letter using the "other documents" option to attach. Apply NowShare Save Job

Title: Hourly Research Analyst Department: Off of Institutional Effectiveness Reports To: Executive Director, Institutional Effectiveness Position Type: Staff Position Summary: The Hourly Research Analyst is an integral part of the Institutional Research team. This role is responsible for data management, analysis, and reporting. The position is hourly-based and works for up to 20 hours during the school year, and up to 35 hours over the summer. The Hourly Research Analyst will collaborate on a variety of research initiatives, data analysis tasks, and reporting projects while contributing to research publications based on outcomes. Essential Functions: -Assists in collecting, organizing, and analyzing institutional data for various projects and reports. -Supports the generation of statistical reports, charts, and graphs for internal and external stakeholders, ensuring clarity and precision in presenting data. -Contributes to survey reporting and data collection efforts, ensuring data integrity and timely reporting. -Responds to data requests from various departments and external agencies, ensuring accurate and efficient data delivery. -Collaborates closely with the Institutional Research team on a range of analysis projects, with a focus on actionable insights for institutional decision-making. -Participates in research projects, contributing to research publications and presentations based on findings. -Provides assistance with administrative tasks and special projects as needed within the Office of Institutional Effectiveness. -Any additional responsibilities as required by management. Prerequisite Qualifications: -Master's degree in data science, Computer Science, Statistics, or a related field with a GPA of 3.5 or higher. -Proficiency in SQL (e.g., Microsoft SQL Server, MySQL) and data analysis tools such as Python, R, or SAS. -Detail-oriented, with a commitment to data accuracy, quality, and integrity. -Ability to work effectively within a collaborative team environment, contributing to team goals and sharing knowledge. -Proficiency in data visualization tools (e.g., Power BI, MicroStrategy) and Microsoft Office Suite (Excel, Word, PowerPoint). -Strong problem-solving and analytical thinking skills, with a demonstrated ability to apply data analysis methods to real-world scenarios. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Prior experience or coursework in data analysis, quantitative research, or a related field. -Familiarity with research methodologies and data collection techniques. -Interest in higher education policies, practices, and trends, with a desire to contribute to institutional research efforts. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $25.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

Title: Teacher Assistant/Tutor Department: NJ GEARUP / College Bound / UBELLs Reports To: Director NJ Gear UP/College Bound Position Type: Staff Position Summary: The position of Teacher Assistant/Tutor means an overall commitment to the policies and procedures of the New Jersey GEAR UP/College Bound program. Employment and/or continued employment is subject to successfully passing State Mandated Criminal Background Check. Teacher Assistants/Tutors are important members of the academic team that advises students of the program. They work collectively with program instructors to provide relevant assistance in academic classes per the grade level of the students that will ensure a progressively collegiate focus to their class schedules. The program operates year-round during the Academic Year (fall and spring) and Summer Sessions (July-Mid August). Fall and Spring Sessions are Monday thru Thursday (Occasional Fridays) from 8:00 am until 2:00pm and/or 3:00pm until 5:00pm. Saturday Sessions are 20 sessions during the Academic Year from 8:00 am to 3:00 p.m. Note: Academic Year weekday school hours are adjusted as needed per school. Summer Session is currently up to six (6) weeks, Monday thru Thursday, from 8:30am until 3:00 pm with occasional Saturday events. The Summer Session is six (6) weeks, Monday through Thursday, from 8:30am until 3:00pm. Hours may be adjusted as needed. Essential Functions: -Helps to assist students in integrating math, reading and writing skills. -Maintains accurate academic records, program statistics on use of student resources and files. -Assists in developing students' communicative, study and time management skills and assists in the development of test taking strategies. -Helps students to build confidence in subject areas and helps develop student problem solving and critical thinking abilities. -Helps students develop math, science, reading and language skills in preparation for the state mandated tests, such as, PARCC, PSAT, SAT/ACT or equivalent. -Attends all staff development and training sessions. -Assists in creating a learning environment that will facilitate the desire to learn and help students to gain self-motivation for self-improvement. -Assists in the administration and evaluation of standardized diagnostic and placement tests. -Administers an emergency lesson plan in the absence of an instructor. Prerequisite Qualifications: -Applicants should have completed the equivalent course load of a sophomore in college (24 Credits) and be a student in good academic standing or a college graduate. -At the university's discretion, the education and experience prerequisites may be accepted, where the candidate can demonstrate to the satisfaction of the university, and equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -Related work and/or volunteer experience is preferred but not required. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $16.00-$30.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: * Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. * Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. * Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. * Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. * Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. * Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. * Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: * Degree in Computer Science, Engineering, Statistics, or a related technical field. * Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. * Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. * Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. * Strong foundational understanding of algorithmic complexity and data structure optimization. * Excellent problem-solving, collaboration, and communication abilities. * Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. * Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. * Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. * Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. * Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Core Qualifications - 3+ years of research, academic, or industry experience in Machine Learning, or Data Science, or Software Engineering, or Computer Science, or Statistics, or Biology, or Electrical/Mechanical/Civil Engineering, or Physics, or Chemistry, or Mathematics, or Materials Science, or o

Mercor is seeking STEM PhDs for a premier project with one of the world's top AI labs. You're a good fit if you: - Have a STEM PhD from a US, UK, Canadian, or European university in domains such as Mathematics, Biology, Chemistry, Physics, Computer Science, Statistics, Economics - Have high **at

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Software Python Engineer Pay rate range: $ 87. Requirements: PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Python Software Engineer Pay rate range: $ 81. Requirements: PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field. Proficiency in Py

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with our customers, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There's much to learn and many to learn from, with more than 17,000 employees around the world to explore ideas and ambitions with. In the USA, we develop, market and produce a wide array of solutions from our 25 most innovative sites, based across the country. Stretch your skills, create and get inspiration from passionate colleagues. Every day, your energy, your thirst for knowledge, and your creativity will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature. Reporting to a Category Director, and being onsite in our East Hanover New Jersey Creative Center, you will communicate market research projects and build consumer understanding. As a CMI Manager in our Personal Care Products division, you will provide competitive-edge market analysis to support development andsales objectives. You will be a category expert and can share your knowledge with our clients. * Lead Research -Lead market research for regional or cross regional projects by applying theappropriate qualitativeand quantitative research methodologies to meet the projectobjectives. Support sales and development teams as the market research expert in direct contact with clients; discuss and review CMI strategies, methodologies, and results. * Business Partner- Be a CMI (Consumer Marketing Insights) Business Partner for internal colleagues, working closely on Personal Care projects throughout the fragrance development cycle, providing in-depth interpretation of results to guide fragrance development, and helping to build rationale to support our submissions. Work with category teams toidentifygaps in knowledge and to develop and test hypotheses relating to insights into consumer behavior, toprovidenew ideasto feed the development process. * Project Management- Full management of Personal Care CMI projects including study design, cost management and negotiations with agencies, quality checks, hands-on data analysis (including statistical testing), insight development, and results presentations. Ensure CMI data is stored centrally and accessible for future reference. Participation in the digital agenda. You? * University Degree (Marketing, Data Analysis, Statistic, Science) Advanced Degree Helpful * 5+ years of experience in market research * Proficiencyin using common PC applications (MS Excel essential), including data analysis software, and in programming study designs within survey platforms * Understanding ofstatistics - in-depth understanding of inferential and multivariate statistics and experimental design. * Demonstrates competent knowledge and use of qualitative and quantitative methodologies (protocols, designs,questionnairesetc.) * Expertisein analyzing large datasets and drawing strategic conclusions and implications * Familiar with data reduction, consumer segmentation, and driver analysis techniques to interrogate data from different perspectives, to develop hypotheses for fragrance development and arguments to support submissions Benefits include Medical, Dental, Vision, Tuition Reimbursement, and a high matching 401k Job Title and Base Salarycommensuratewith education and experience. $100k-$130k per year. #LI-Onsite Givaudan takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications/certifications and education, and internal equity. At Givaudan, you contribute to delightful taste and scent experiences that touch people's lives. You work within an inspiring teamwork culture - where you can thrive, collaborate and learn from other talented and passionate people across disciplines, regions and divisions. Every essence of you enriches our world. Diversity of perspectives fuels innovation and fosters deeper connections with our employees, customers, and partners. At Givaudan, we are dedicated to cultivating an inclusive environment where every individual's voice is valued and has the power to shape our world. Join us in making a difference together.

The Residential Assistant accurately completes all required program documentation, including program logs, statistics tracking sheets, incident reports, and work orders. In response to the Gospel of Jesus Christ, Catholic Charities, as a ministry of the Archdiocese of Newark, serves the poor and mar

Areas of study include General Psychology, Statistics, Tests and Measurements, Research Methods and other specialty areas such as Physiological Psychology, Industrial and Organizational (IO) Psychology and Forensic Psychology. College of Liberal Arts, Department of Psychology.

Intake Coordinator Req #: 0000245544 Category: Quality / Patient Safety Status: Full-Time Shift: Day Facility: Cooperman Barnabas Medical Center Department: Cancer Svs Patient and Family Pay Range: $50,000.00 - $70,000.00 per year Location: 94 Old Short Hills Road, Livingston, NJ 07039 Job Title: Intake Coordinator Location: Cooperman Barnabas Medical Ctr Department Name: Cancer Svs Patient and Family Req #: 0000245544 Status: Salaried Shift: Day Pay Range: $50,000.00 - $70,000.00 per year Pay Transparency: The above reflects the anticipated annual salary range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: Under the direction of the Director of Patient and Family Services, the Intake Coordinator will answer the FIVE 9 Oncology Access Phone line and work collaboratively with the Oncology Access Team to ensure timely appointments with physicians in the Cancer Center at Cooperman. All patient calls inbound and outbound are documented in FIVE 9 system. Coordinators will work closely with the nurse navigators and the clinical practice staff. Primary responsibilities include, but are not limited to, receiving inbound phone calls, emails and faxes, appointment coordination, patient demographic entry and notifying financial counselor if insurance or financials concerns are identified. Qualifications: Required: • Knowledge of computer programs (Office, Excel, PowerPoint, & Word), • Minimum of two years of related experience in a medical office, hospital, medical call center, or similar customer service environment., • Type at least 35 wpm., • College Degree preferred, • Shift Working: Monday-Friday, 9:00AM-5:00PM, • Day Shift, • Assist the Nurse Navigator in clerical functions which includes but is not limited to: Scanning, faxing, maintaining new consulting spreadsheets, • Comply with the SBMC confidentiality and HIPAA standards, • Enter appointments into EPIC efficiently and completely, • Mail new patient registration and information package to the patient or send via My Chart in EPIC, • Obtain, verify and enter patient demographic information into EPIC, • Returns patient phone calls by the end of each day with updates regarding appointments, • Triage all new patient phone calls which includes gathering all medical information and reviewing the information with the Nurse Navigator to expedite a timely appointment, • Updates and maintains statistics on new patient volumes, referral patterns and survivorship Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees' physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey-whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer At RWJBarnabas Health, our market-competitive Total Rewards package provides comprehensive benefits and resources to support our employees physical, emotional, social, and financial health. • Paid Time Off (PTO), • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Retirement Plans, • Short & Long Term Disability, • Life & Accidental Death Insurance, • Tuition Reimbursement, • Health Care/Dependent Care Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance)

SUNY Maritime College Location: Bronx, NY Category: Administrative & Professional Job Type: Full-time Posted On: Thu Mar 19 2026 Job Description: The Regional Admissions Counselor - Long Island, NY serves as the primary representative of SUNY Maritime College within Nassau and Suffolk Counties and assigned downstate markets. This position is responsible for the strategic development and management of a geographically defined recruitment territory, inclusive of freshman, transfer, and graduate student populations. The Regional Admissions Counselor develops and implements comprehensive recruitment strategies aligned with institutional enrollment goals, builds strong partnerships with secondary and post-secondary institutions, and supports prospective students through the admissions and enrollment process. This position requires frequent in-territory travel during peak recruitment seasons and periodic travel to campus to support major admissions programs and enrollment initiatives. This is a remote position. Must be able to travel to SUNY Maritime to participate in on-campus admissions programs including Open Houses, Graduate Information Sessions, Accepted Student Days, daily tours, interviews, and virtual programming (including evenings and weekends as required). Duties and Responsibilities: • Represent the College in recruitment activities in a knowledgeable, professional, and engaging manner to prospective freshman, transfer, and graduate students, • Strategically manage and develop the Long Island recruitment territory, including public and private high schools, charter schools, community colleges, four-year institutions, graduate feeder programs, maritime and industry partners, and community-based organizations throughout Nassau and Suffolk Counties, • Develop and execute an annual territory recruitment plan aligned with institutional enrollment goals and strategic priorities, • Conduct fall and spring recruitment travel, including high school visits, community college outreach, transfer fairs, graduate school fairs, college fairs, financial aid nights, industry events, and virtual programming, • Build and maintain strong relationships with school counselors, transfer advisors, faculty, graduate program directors, alumni, and community leaders, • Monitor application, admit, and enrollment trends within the territory and implement data-informed outreach strategies to increase applications, yield, and enrollment Undergraduate & Graduate Recruitment • Counsel prospective students and families on academic programs, admissions requirements, transfer credit evaluation processes, graduate program prerequisites, financial aid opportunities, career outcomes, and the Regiment of Cadets (where applicable), • Develop targeted outreach strategies to expand transfer and graduate pipelines, including partnerships with four-year institutions and industry-affiliated professionals, • Represent undergraduate and graduate programs at both in-person and virtual information sessions, • Read, evaluate, and render admissions decisions for freshman, transfer, and graduate applicants consistent with institutional policies, mission, and enrollment priorities, • Participate in scholarship review processes and assist with graduate assistantship recommendations as appropriate Yield & Enrollment Management • Serve as the primary point of contact for admitted students within the territory, • Develop and execute territory-specific yield initiatives, including admitted student receptions and information sessions, • Provide proactive outreach to deposited students to support onboarding milestones and reduce summer melt, • Collaborate with Enrollment Services, Student Affairs, Academic Departments, and other campus partners to remove enrollment barriers and ensure a seamless transition to enrollment, • Assist in final high school transcript review and verification of graduation for incoming students Campus Engagement & Office Support • Participate in all on-campus admissions events, including Open Houses, Accepted Student Days, Graduate Information Sessions, interviews, and special programs (including evenings and weekends), • Assist in staffing the Welcome Center during designated campus periods, • Conduct individual appointments (virtual and in-person) with prospective students and families, • Support the execution of the admissions communication plan and assist with outreach campaigns, • Maintain accurate documentation of recruitment activity and student interactions within the CRM system, • Maintain confidentiality and integrity when managing sensitive personal, academic, and financial records, • Work collaboratively with Athletics, Academic Departments, Enrollment Services, NROTC, the Regiment of Cadets, Student Services, and University Relations to support recruitment and enrollment initiatives, • Perform other duties as assigned that support institutional enrollment objectives Job Requirements: Required Qualifications: • Bachelor's degree from an accredited institution, • Minimum of 2-3 years of progressive professional admissions experience, including territory management and application review, • Demonstrated success in achieving enrollment goals and managing a geographically defined recruitment territory, • Experience recruiting across multiple student populations (freshman, transfer, and/or graduate), • Strong analytical skills and experience using enrollment data to inform recruitment strategy, • Excellent presentation, communication, and interpersonal skills, • Ability to work independently with minimal supervision and exercise sound professional judgment, • Valid driver's license free of major violations and willingness to travel extensively within Nassau and Suffolk Counties and periodically to campus Preferred Qualifications • Experience in graduate recruitment strategy development, • Knowledge of Banner Student Information System, • Experience with Slate CRM and data reporting tools, • Experience mentoring or leading recruitment initiatives, • Familiarity with maritime, engineering, logistics, or transportation-related academic programs, • Demonstrated commitment to serving diverse student populations Additional Information: Classification/Salary Range: The Regional Admissions Counselor is a UUP position. The anticipated salary range is $57,151 - $60,000. Salary is commensurate with experience with an outstanding benefits package (for more information please see the UUP-FT-Benefits-at-a-Glance.pdf). Review of applications to commence immediately and conclude when the position is filled. Special Notes: This is remote full-time calendar year appointment UUP Position. Fair Labor Standard Acts (FLSA) Exempt position, not eligible for the overtime provisions of the FLSA. Internal and external search to occur simultaneously. Budget Title: Admissions Advisor Local Title: Regional Admissions Counselor - Long Island, NY Line #: 00709 SUNY Maritime College is an Equal Opportunity/Veterans/Disabled/Affirmative Action employer, committed to recruiting, supporting and fostering a diverse community of outstanding faculty, staff and students. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. For our full non-discrimination statement, see: . SUNY Maritime College is committed to maintaining a safe environment for its students, faculty, staff, volunteers and the general public that use our facilities. Therefore, in order to ensure the hiring of employees of the highest integrity and to maintain a safe campus community, SUNY Maritime College will conduct pre-employment background investigations on all individuals for whom employment is to be offered. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Office of Employee Relations at (518) 474-6988 or via email at . In accordance with the Title II Crime Awareness and Security Act, a copy of our crime statistics is available upon request by calling (718) 409-7305. It can also be viewed online by selecting University Police > Safety Information > Clery Safety Report (Annual Security & File Safety). Compensation details: 57151 PIbaa7e4be4f0c-26289-40024175

The Residential Assistant accurately completes all required program documentation, including program logs, statistics tracking sheets, incident reports, and work orders. High school diploma or GED and 1-2 years of related experience preferred. The Residential Assistant is responsible for carrying ou

The Inventory Analyst is responsible for managing inventory items and the daily inventory operations of the organization and are required to analyze inventory statistics, perform financial analytics to determine which products are selling the most and which are under-performing. A distribution compa

Bachelor's degree in Accounting or Business related fields - Finance, Economics, or Statistics preferred. Candidate's equivalent experience and accounting principle knowledge may be considered instead of the degree requirement). General understanding of accounting processes and functions.

Job Title: Birth Certificate Rep. The Birth Certificate Representative ensures that all information required by the NJDOHSS Bureau of Vital Statistics Electronic Birth Certificate program and Paternity Opportunity Program is collected and accurately entered into the NJDOHSS EBC software program with

Strong experience designing and implementing Oracle-driven data integration pipelines using SQL, PL/SQL, and Unix shell scripting. Ability to conduct both proactive and reactive Oracle performance tuning using explain plans, indexing strategies, statistics, hints, and SQL optimization best practices

You will report to the Senior Manager Strategic Finance and will be expected to present and discuss analysis to Finance leaders. Master's Degree in Finance, Finance Analytics, Financial Engineering or in a relevant discipline, such as Statistics or Engineering. The Strategic Finance Analyst, working

Software Engineer III - AI/ML Engineer We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities • Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery., • Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems, • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems, • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development, • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems, • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Formal training or certification on software engineering concepts and 3+ years applied experience • Experience as a hands-on practitioner developing production AI/ML solutions., • Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc., • Deep knowledge and experience in machine learning and artificial intelligence., • Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis., • Knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics., • Demonstrated understanding in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn., • Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc., • Familiarity in AWS Cloud services such as EMR, Sagemaker etc., • Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Preferred qualifications, capabilities, and skills JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Jacobs Levy is seeking a Senior Quantitative Equity Researcher for our Florham Park, NJ office with a strong background in technical computing and statistics to join our research team. Our researchers work collaboratively to contribute to our firm’s leading edge, innovative investment process.

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description The Oncology HEOR Strategy team, within the MHI Value & Evidence function, leads the creation and communication of transformative evidence to shape healthcare decision-making and make a remarkable impact for patients. Director, HEOR Strategy, CLL & Heme-Oncology (HEOR-S) – directs, develops, organizes, and implements the V&E strategy for Chronic Lymphocytic Leukemia (CLL) and disease adjacencies with concurrence of functional management to allow the development of each asset to proceed expeditiously and smoothly toward registration, PR&A and market launch in compliance with national and international governmental regulations for various asset programs, including CLL adjacencies. HSL reports to Senior Director, Heme-Oncology HEOR Strategy Team Lead and may have direct reports. Responsibilities • Accountable for engagement and co-creation of holistic value evidence strategy with V&E pillars and cross-functional partners for Oncology disease areas/assets/brands, including co-creation of PCM deliverables, MHI Worldwide Scientific Plan, and Value & Evidence Plans (VEP) and ensuring timely relevance to disease area strategy, product development, competitive landscape, and the marketplace., • Directs the design, conduct, and analysis of projects within each product area strategy across multiple programs, in partnership with V&E Centers of Excellence (PCOR, VAC, RWE, EPE, MPS) and is accountable for project execution, budget and meeting/exceeding ethical, scientific, regulatory, commercial, and quality requirements., • HSL interacts/engages with cross-functional leaders for CLL disease area. Effectively communicates findings to internal leadership (Executive Leadership, Area VPs, GMs etc.) and external (e.g. HTAs/Payers, patient advocacy groups and KOLs etc.), • In the post-marketing setting, this position is responsible for developing and executing V&E product life-cycle and labeling strategies. Responsible for integrating the expressed needs for value demonstration from customers (physicians, patients, payers, policy-makers), the direction of the commercial organization in product marketing and the realities of the science surrounding a product in developing strategies, • Assumes full strategic V&E support of commercialization activities including the facilitation of obtaining and maintaining market access and growing/defending the market., • Accountable for end-to-end delivery of V&E book of work under their remit, from strategy development to content pull through., • Accountable for ensuring strong partnership with MHI, IMAP and all relevant V&E pillars to ensure a holistic and comprehensive voice to accelerate global patient access, in cross-functional meetings, • Partners with Heme-Oncology HEOR Strategy Team Lead to shape CLL oncology patient access policy environment, including successfully engaging and collaborating HTA/ payers, clinical practice guideline organizations and US oncology pathway stakeholders, • Partners with Heme-Oncology HEOR Strategy Team Lead to establish external alliances to drive Heme-Oncology payer/pathway centric fit-for-purpose evidence generation in support of pre- and post-launch assets, • Develops and maintains CLL oncology research partnerships with academic and community oncology centers and pathways to demonstrate the clinical, economic, humanistic and societal value of innovative AbbVie therapiesQualifications, • Advanced degree required: MSc, MPH, or MBA with 10+ years of relevant experience; or PharmD/PhD with 7+ years in HEOR, market access, or a related research-focused field., • Deep expertise in HEOR methods including health economic modeling, patient-reported outcomes, statistics, and real-world evidence, with strong experience in registry and observational study design, execution, analysis, and interpretation., • Proven oncology HEOR and market access experience across pipeline, launch, in-line, and lifecycle management., • Strong understanding of oncology health technology development and commercialization, including drugs and diagnostic devices., • Highly effective influencer in matrixed environments, with the ability to align medical, clinical, access, affiliate, and commercial partners without direct authority., • Track record of success in HTA/value assessment and engagement with key bodies such as NCCN, ESMO-MCBS, NICE, IQWiG, CADTH, MSAC, ICER, and similar organizations., • Experience partnering with IDNs, GPOs, and collaborative groups to support external research initiatives., • Thrives in fast-paced, high-accountability environments and can independently lead complex HEOR initiatives, including SLRs, ITCs, NMAs, PRO/PED studies, RWE, DCEs, economic models, and non-interventional studies., • Strong strategic judgment with the ability to assess value, prioritize against business needs, and make decisions quickly and simply., • Excellent interpersonal, oral, and written communication skills in English, with a track record of building strong internal and external partnerships., • Strong project management skills, including contracting, budgeting, and vendor management, with the ability to juggle multiple complex priorities and shifting deadlines., • Highly organized, proactive, and adaptable, with a bias for action and comfort operating in changing, fast-moving environments., • People leadership experience preferred, with demonstrated ability to engage stakeholders and deliver results through others. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: