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Healthcare Business Intelligence & Analytics Analyst -Information Technology Location: 620 Foster Avenue Brooklyn, NY 11230 Hours: Full Time Premium Health Center, a rapidly growing FQHC in Brooklyn, is seeking a detail-oriented and analytical Business Intelligence (BI) Analyst to join our growing Data & Analytics team. This role blends data analysis with light data engineering to build robust data pipelines, deliver actionable insights, and create high-quality reporting and analytics. The BI Analyst will play a key role in transforming raw data into actionable insights that will directly inform strategic, clinical, operational, and financial decisions across the organization. Time Commitment: Full Time, Hybrid Eligible Responsibilities: Analytics, Visualization & Storytelling · Design, develop, and maintain dashboards, reports, and data visualizations in Power BI (or similar tools) · Apply data visualization and storytelling best practices to create intuitive, user-friendly dashboards. · Translate complex healthcare data into clear, actionable insights that support decisions for clinical, operational, finance, and executive teams. · Develop and maintain semantic data models, KPIs, and performance metrics aligned with FQHC goals. · Collaborate with stakeholders to gather requirements and recommend effective analytical and visual solutions. · Analyze healthcare data from EHR systems (e.g.,eClinicalWorks, Office Practicum, etc) and other sources to identify trends, gaps, and opportunities for improvement. · Support UDS (Uniform Data System) reporting and other regulatory compliance requirements. · Create sustainable reporting frameworks for recurring healthcare and operational metrics. Data Engineering &Pipeline Support · Build and maintain light ETL and data integration tasks using SQL, APIs, and scripting tools. · Write and optimize SQL queries to support analysis, dashboards, and data pipelines. · Perform data wrangling, cleaning, validation, and transformation to prepare datasets for analysis and reporting. · Ensure data integrity, accuracy, and security in all reporting and data engineering workflows. · Perform data validation, reconciliation, and root-cause analysis for data quality issues. Collaboration and Data Literacy · Collaborate with clinical, operational, and executive teams to understand business needs and translate them into technical solutions. · Provide training, documentation, and support to improve data literacy and promote appropriate self-service use of organizational dashboards. · Collaborate with IT and data teams on architecture, governance, and data quality initiatives. Requirements: · Bachelor's degree in Data Science, Public Health, Health Informatics, Computer Science, ora related field. · 4+years of experience in a BI, data analyst, or similar role, preferably in a healthcare or FQHC setting. · Strong proficiency in SQL, including complex joins, window functions, and data transformations · Hands-on experience with Power BI, or similar BI platform, including DAX, data modeling, and visualization design. · Experience working with scripting languages (Python, R, etc) and APIs to support data integration and automation. · Experience with semantic data modeling in Power BI. · Strong analytical, critical thinking, and problem-solving skills. · Excellent communication and data storytelling skills with the proven ability to present insights to non-technical audiences. · Detail oriented with strong data troubleshooting and validation skills. · Highly organized, with the ability to manage multiple tasks and deadlines. · Self-starter who works independently and collaboratively. · Ability to partner cross-functionally across clinical, operational, financial, IT, and data teams. · Fast learner with adaptability to evolving tools and organizational needs. · Strong commitment to high standards of data quality, accuracy, and confidentiality. · Familiarity with HIPAA or other similar data privacy standards. Preferred: · Experience with Microsoft Azure, Fabric, Purview, or similar cloud platforms. · Experience with Power Automate or similar tool for basic workflow automation. · Familiarity with Git or similar version control tools. · Experience with EHR systems (eCW, Office Practicum, etc,). · Understanding of healthcare data, including clinical, operational, and financial metrics. · Experience with UDS reporting or other healthcare regulatory or quality metrics. Compensation: $110,000 - $145,000, commensurate with experience Benefits: · Medical, Dental, Vision and Life coverage · Paid Time Off and holidays · Employee Assistance Program · Flexible spending account · Public Service Loan Forgiveness (PSLF), NHSC Loan Repayment Program · 403(b) Retirement Plans with employer matching

🚀 Applied Scientist (Machine Learning / Data Science) 📍 Remote (U.S.) | 🕒 3-Month Contract (Medical Leave Coverage) 💼 4–8 Years Experience IntePros is currently seeking an Applied Scientist to support a leading streaming/media organization (MGM+ environment). This is a high-impact, short-term contract focused on advancing data-driven decision making across content strategy, audience engagement, and subscriber growth. 🔍 What You’ll Be Doing • Evaluate and scope new data science initiatives that influence content acquisition, programming strategy, and subscriber growth, • Develop and enhance machine learning models for:, • Content recommendations, • Viewership prediction, • Subscriber behavior forecasting, • Campaign performance measurement, • Analyze streaming, audience, and social media data to generate actionable insights, • Perform customer cohort analysis to better understand user behavior and retention trends, • Partner cross-functionally with product, marketing, and content teams to drive data-backed decisions, • Bring innovative, algorithmic thinking to improve overall platform performance and user experience 🧠 What We’re Looking For • 4–8 years of experience in data science / applied science / machine learning, • Strong background in forecasting and predictive modeling (consumer behavior, engagement, etc.), • Experience with customer segmentation / cohort analysis, • Comfortable working in ambiguous, fast-moving environments, • Hands-on experience with:, • Python, • SQL, • ETL processes, • Excel (VBA a plus), • Generative AI tools and frameworks, • Experience working with large-scale datasets (streaming, behavioral, or product data preferred), • Media / entertainment industry experience is a strong plus 💡 Nice to Have • Exposure to recommendation systems, NLP, or predictive analytics, • Experience analyzing content performance or audience engagement metrics, • Familiarity with competitive intelligence or social sentiment analysis 📌 Why This Role? • Opportunity to work on cutting-edge ML applications in streaming/media, • Direct impact on content strategy and subscriber growth, • Fast-moving, high-visibility project with meaningful business outcomes

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Business Analyst, Data Insights G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Business Analyst, Data Insights will act as a high-visibility strategic partner and primary liaison between our business departments and the Data Insights team. Reporting to the VP Data Insights, you will bridge the gap between technical complexity and fashion-forward business growth by managing requests, troubleshooting operational issues, and delivering actionable insights that influence our global strategy. Key Responsibilities • Strategic Liaison & Support: Act as primary point of contact for business units (Sales, Production, IT, Finance, Marketing, Ecommerce), managing change requests and troubleshooting daily data challenges, • Insight Generation & Root-Cause Analysis: Analyze complex data to identify trends and perform deep-dives to explain the “why” behind performance shifts, providing clear visibility to leadership, • Workflow & Requirements Documentation: Build deep content knowledge on how business users interact with data. Document high-level workflows and translate them into clear, actionable technical requirements, • Solution Development & Validation: Define and validate transformation logic for reporting and analytics. Partner in the development process to ensure proposed solutions address core business needs, • Testing & Implementation: Develop and facilitate user acceptance testing (UAT) plans. Provide end-user training to support successful implementation and adoption across the brand., • Process & Governance: Proactively identify data quality issues and recommend sustainable solutions that align with established data governance standards., • Executive Readiness: Prepare data visualizations and “executive-ready” briefing materials for the VP to present to senior leadership. Qualifications Required: • Bachelor’s degree in Business, Economics, Finance, Computer Science, or a related field, • 3+ years of Business Analyst experience, ideally within the Retail, Fashion or IT sectors, • Proficiency in Data Visualization and BI Design using Power BI, • Experience supporting operations across wholesale, retail, and eCommerce channels, with an understanding of multi-channel business dynamics, • Experience with Azure platform, • Solid understanding of Data Modeling, dashboard optimization, and transformation logic, • Strong ability to document business processes and translate messy data into structured insights, • Ability to build strong relationships and bring about cooperation from cross-functional teams and technical stakeholders, • Agility to manage multiple priorities in a fast-paced environment Preferred: • Proficiency in SQL for data extraction and familiarity with Python or R for automation, • Understanding of industry-specific KPIs like sell-through, inventory turn, or e-commerce metrics, • Experience building “what-if” models to help evaluate the impact of business or vendor changes What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $90,000 - $100,000 (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Senior Vice President, Equities and Fixed Income Front Office Engineering Lead (Full-Stack Engineer) At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Senior Vice President, Equities and Fixed Income Front Office Engineering Lead – Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partner with Product, Trading, and end clients to analyze, define, challenge, and solution technical trading workflows., • Manage and mentor a high performing engineering team, • Play a key role in the design, architecture, and implementation of:, • Trading research platform, • Real-time decision support service, • Reporting platform and service, • Build a historical and real-time data management platform for a global, multi-asset trading organization., • Design and architect API-driven solutions, utilizing open-source resources., • Partner with extended BNY Controls, Risk and Networking teams to maintain overall architecture and trading compliance, • Drive with an AI first mind-set towards automation and code-refactoring, • Drive system stability and reliability through data quality and automation to mitigate risks associated with trade execution., • Strong understanding of either Equities or Fixed Income trading workflows, • Experience working with Execution Management Systems (EMS) and Order Management Systems (OMS)., • FIX protocol/messaging knowledge, • Experience managing a team of highly skilled engineers, • Experience in Python coding. Java or C plus is a plus., • Experience with Equities, Derivatives, Futures, FX, and/or Fixed Income data, analytics, and reporting., • Broad experience with front-end and server-side, multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $116,000 and $240,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Vice President, Fixed Income and Equity Data Management Engineer - Full-Stack Engineer At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Fixed Income and Equity Data Management Engineer- Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partnering with product, quants, traders, and ops; translating requirements into robust data solutions., • Play a key role in the design and architecture of trading and market data structures, • Design and build a historical and real-time data management platform for a global, multi-asset trading organization., • Ensure data integrity through proper data quality and validation, • Support and work alongside a cross-functional engineering team on the latest technologies, • Drive with an AI first mind-set towards automation and code-refactoring, • Hands-on programming of well-designed, testable, secure, and efficient code., • Strong understanding of either Equities or Fixed Income trading workflows, • Solid understanding of market microstructure and OMS/EMS flows (FIX, order types, venue routing) to design practical normalization., • Strong understanding of database schemas and structures, • Strong in Python and SQL coding, • FIX protocol/messaging knowledge, • Demonstrates proficiency in the design, development, and implementation of data, reporting and database technologies and tools., • Broad experience with multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $90,000 and $200,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments & safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

Predominately remote position with a requirement to be in the NYC office every Wednesday. Position Summary: The purpose of this job is to automate profitability and loss trends analyses, perform ISO rate impact analyses and conduct statewide rate filings for pricing adequacy and provide competitive pricing insights to enhance profitability. This role also integrates pricing tools and actuarial analyses by utilizing AI and visualization tools. • Perform and automate ratemaking process for state rate filings by using AI and advanced programming skills for commercial lines of business, including Commercial Property, General Liability, Workers Compensation and Commercial Auto., • Perform and automate industry and company profitability analyses as well as loss trends analyses., • Perform and automate ISO circular rate impact analysis for various states., • Integrate and transform actuarial results by using AI and data visualization tools (e.g. PowerBI) to facilitate communications with senior management and underwriters., • Provide pricing strategy and market intelligence insight., • Participates in special projects and performs additional duties as requested., • Bachelor's degree from an accredited institution in Actuarial Science, Mathematics, Statistics or a related field required. Master's Degree preferred., • Minimum 4 years of professional experience specialized in the actuarial field required., • Minimum 5 passed actuarial exams required and working toward completion of ACAS or FCAS., • Proficiency in Python, SQL and Excel VBA required. Development experience utilizing these tools required as well., • Working knowledge of AI applications and PowerBI preferred., • Excellent problem-solving and programming skills., • Strong ability to quickly learn new programming languages and AI applications., • Ability to exchange ideas and convey complex information clearly and concisely, both verbal and in writing., • Strong business and collaboration skills and responsive to service needs and operational demands.

Fully remote Senior Software Engineer for one of my best clients that is redefining cybersecurity & the way companies address it // Must have FastAPI, Pydantic & SQLAlchemy! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $140,000 per year A bit about us: Our esteemed organization is seeking a dynamic, passionate, and experienced Permanent Senior Software Engineer to join our innovative Tech Services team. The ideal candidate will have a strong background in Python Development, PostGreSQL, AWS, SME, Peer Reviews, and Team Lead experience. This role is perfect for someone who thrives in a fast-paced, collaborative environment and enjoys leveraging their technical skills to create sophisticated software solutions. With a primary focus on FastAPI, Pydantic, and SQLAlchemy, the Senior Software Engineer will play a critical role in maintaining and improving our technical infrastructure. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Remote first work environment (Fully remote, no physical office exists), • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: 1. Design, develop, and implement high-quality software solutions using FastAPI, Pydantic, and SQLAlchemy., 2. Leverage Python development skills to create, maintain, and improve our software applications., 3. Utilize PostGreSQL to manage and manipulate databases to meet business requirements., 4. Work with AWS to manage cloud-based resources and services., 5. Act as a Subject Matter Expert (SME) on software engineering principles and technologies, providing guidance and support to junior team members., 6. Conduct thorough peer reviews to ensure code quality and consistency., 7. Lead a team of software engineers, fostering a collaborative environment while driving the team towards project goals., 8. Collaborate with cross-functional teams to define, design, and ship new features., 9. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Qualifications: 1. Bachelor’s degree in Computer Science, Software Engineering, or a related field., 2. 5+ years of professional experience in software development, specifically with Python, PostGreSQL, and AWS., 3. Proven experience with FastAPI, Pydantic, and SQLAlchemy., 4. Demonstrated expertise as a Subject Matter Expert (SME) in software development., 5. Extensive experience conducting peer reviews and leading software development teams., 6. Exceptional problem-solving skills with a strong attention to detail., 7. Excellent verbal and written communication skills., 8. Ability to work in a fast-paced, collaborative environment., 9. Strong project management skills with the ability to manage multiple projects simultaneously., 10. Up-to-date with the latest trends and technologies in the industry. In conclusion, if you have a passion for creating innovative software solutions and want to work in a dynamic, fast-paced environment, we would love to hear from you. Apply now and take the next step in your career as a Permanent Senior Software Engineer in the Tech Services industry. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. 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Senior Computer Vision Scientist Fully Remote - HQ in New York, New York $190,000-210,000 base salary + equity THE COMPANY Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies. THE ROLE • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals, • You will report directly to senior leadership and work closely on technical direction, • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications, • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling, • You will play an integral role of building out the AI team and scaling out its product, • Act as a thought leader role for AI across the business, mentoring junior team members YOUR SKILLS AND EXPERIENCE The successful Senior Computer Vision Scientist will likely have the following skills and experience: • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems, • Experience working in a scaling startup is preferred, • Expertise in Python (TensorFlow, PyTorch) for production-grade work, • Commercial experience building novel AI platforms with large datasets, • History of working with and managing real-time AI applications in production settings, • Cloud experience in AWS, Azure or GCP, • DevOps exposure with CI/CD pipelines preferred, • History of working on models from concept to production / end-to-end / 0-1, • Applied research background in a commercial setting required, • Publication and/or patent history highly preferred, • Experience in settings wearing multiple hats, • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred, • History of partnering with non-technical stakeholders required, • Experience owning projects, • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar THE BENEFITS A competitive base salary of $190,000-210,000 + benefits + equity HOW TO APPLY Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page. KEYWORDS Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Description The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium () funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model. The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration. Responsibilities • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager., • Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility., • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management., • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance., • Mentor junior engineers in data warehousing, data engineering skills, and operational support., • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON)., • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation., • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs., • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support., • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching., • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach., • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations., • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost., • Identify improvements in procedures, technology, compliance, and data privacy/security., • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring., • Perform related duties as assigned. Qualifications • Bachelor’s degree in a technical field; Master’s preferred., • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses. Preferred • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development., • Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent., • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git., • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff., • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment., • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet)., • Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL., • Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations., • Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager. You will will design and conduct advanced data analyses and develop machine learning models for use in mental health research. You will perform analyses on large datasets, collected using a range of multi-modal methods, including cognitive assessments (both paper-and-pencil and digitized formats), surveys, and other multimodal biometric modalities. You will be chiefly responsible for the design, documentation, and execution of experiments that advance our understanding of both existing data collection and assessment tools in the mental health space, as well as downstream analytic models that seek to apply these measurements.. This is an exempt, full-time, hybrid this position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: * Design and implement analytical workflows including data preprocessing, featureengineering, model development, scientific analyses, data visualization, andvalidation. * Contribute to effective, scalable, well-documented code that is suitable for highperformance computing ecosystems and shared to GitHub, or equivalent,repositories for version control. * Perform organization, aggregation, pre-processing, and analysis of large datasetsusing high-performance computing infrastructures. * Apply both pre-trained and custom-made machine learning models and datamanipulation pipelines to research and clinical contexts, ensuring the responsiblehandling of sensitive data. * Write documentation and text for scientific or public dissemination of knowledge andattend and present at meetings. * Assist with the definition of project and collaboration objectives, tasks, anddeliverables at the outset of new efforts, and support ongoing monitoring ofprogress and alignment. * Perform additional job-related duties as assigned You Have: * Bachelor's in Neuroscience, Psychology, Engineering, Computer Science orequivalent combination of education and experience. * 5+ years of experience in data analysis and data science fundamentals (e.g.,algorithms, data structures, data visualization, machine learning), preferably in aclinical or research setting. * 5+ years of experience including education in at least one scientific programminglanguage (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g.,Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. * 3+ years of experience including education working in a Linux environment, usingversion control systems (e.g., GitHub), and software virtualization platforms (e.g.,Docker). * 3+ years of practical experience designing and developing ML and NLPtechnologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy,HuggingFace, NLTK.) #LI-remote, #LI-on-site, #LI-hybrid. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

POSITION: Life Actuarial Assistant (2026 New Grad Permanent - New York) LOCATION: New York, NY ANTICIPATED START DATE: 2026 - upon graduation Together, we engage with everything we have and are, to help humankind act braver and better. As the world's leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Equity, and Inclusion as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients. Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance. Munich Re Life US is hiring for its next class of permanent entry-level Actuarial Assistants for its rotational program. We're seeking client-focused individuals who are looking to join a team that will lead them on the path towards a successful career in the insurance space. Note that the intent is that all rotations will take place in New York City. ___You will be expected to relocate to the greater New York area, to meet our hybrid working model of at least 3 days a week in office. This provides a great opportunity to network, develop soft skills and become immersed within the greater Munich Re culture; including engaging with your team while in-office for face-to-face meetings, sharing meaningful moments, and allocating time to connect with your Manager. As there have been many changes throughout the pandemic/post pandemic, this policy is subject to change, based on business requirements. Position Overview The Actuarial Assistant program at Munich Re is a rotational program designed to provide you with a strong foundation in the field. Departmental placements will be made closer to your start date based on internal business needs. The rotations will enable you to enhance your technical skills while gaining a holistic perspective of our business; better positioning you towards greater leadership opportunities in the future. Within the rotations, you will be engaged in meaningful actuarial projects with a variety of teams while working towards your FSA designation - with the support of the organization. Placement and rotational opportunities involve numerous departments, some of which are listed below: Biometric Research: Corporate Actuarial: Pricing (Individual Life, Group, Living Benefits and Financial Reinsurance): Qualifications First and foremost, you'll demonstrate a natural desire to provide exceptional client service through your energy, enthusiasm, and initiative. Specifically, we're looking for the following qualifications: • Bachelor's or Master's degree in Actuarial Science, Math, Statistics, Risk Management, or equivalent program - in healthy academic standing;, • Completion of at least two actuarial exams with demonstrated progress towards ASA designation required;, • Relevant work experience, having completed at least one relevant internship or co-op work term;, • Excellent communication skills - spoken & written, formal/informal presentation;, • Demonstrated ability to create and manage positive professional relationships with good client service acumen;, • Proven capability to multi-task and successfully self-manage multiple priorities and projects of various significance;, • Exhibits solid organizational skills and rigorous attention to detail/accuracy in a fast-paced environment;, • Demonstrates leadership qualities - clear-thinking, curiosity, integrity, and drive;, • Proficient in Microsoft Excel, Access, and Word. Preferred: • Programming skills (such as, but not limited to: Python, Java, VBA, C/C++/C#, etc);, • Familiarity with GGY Axis;, • Experience with actuarial/financial modeling;, • Knowledge of the life insurance industry and products. ___ Save job

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineering Intern.We are looking foragraduate studentswithartificial intelligence /machine learningspecializationto join us ininvestigatingAI capabilitiesand tools to improve productivity and createmagical experiences in our products and services. Inthis role, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding ofthe healthcare techindustry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to leadership. Responsibilities: • Investigate and experiment with tools and methodologiesleveragingArtificial Intelligence (AI)andmachinelearning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc., • Work with senior technical staff to develop improvements to models to generatenew contentusing machine learning models in a secure, well-tested, and reasonably performant way., • Applytoolsand methodologiesfor large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development, • Ensure the integrity and robustness of ML solutions byexecutingautomated testing and validation processesestablishedwithin the team., • Documentandcommunicatedevelopment processes andimplementationdetails with peers and supervisors., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. RequiredQualifications: • Working toward a masters or doctoral degree in computer science, engineering, machine learning, applied mathematics, or equivalent., • Goodunderstandingor having completed course workof Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc., • Basic understandingof OOP, Design Patterns, efficient algorithms, and software developmentlifecycles., • Decentproficiencyin Python., • Goodproblem-solving skills, attention to detail,anda strong capacity for logical thinking., • Some experience crafting, conducting, analyzing, and interpreting experiments and investigations is a plus. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

We are seeking a strategic, technically strong Director of Decision Science to lead our Data Science and Business Intelligence teams. In this role, you will set the vision, guide a high-performing team, and drive Data Science and BI initiatives that influence decisions across the business. You will partner with cross-functional leaders to solve high-impact problems, elevate our self-serve BI capabilities, and embed data science into core business operations. This role reports to the VP of Data & Analytics. What You'll Do * Vision and Strategy Leadership: Define and own the multi-year Data Science and BI strategy and roadmap, ensuring direct alignment with enterprise priorities and quantifiable business outcomes (e.g., revenue growth, operational efficiency) * Team Leadership & Development: Recruit, mentor, and manage a high-performing, multi-disciplinary team of Data Scientists, BI Analysts, and BI Engineers, establishing a culture of innovation, operational excellence, and continuous professional development * Strategic Business Partnership: Act as the primary analytic partner to business unit leaders (Sales, Product, CS, Marketing, etc.) to define and deliver high-impact, decision-support data products, including predictive models and AI-powered self-service insights * Analytical Translation: Translate complex, ambiguous business challenges into structured analytical strategies, guiding teams to deliver high-quality, decision-ready solutions * Agile Delivery & Model Lifecycle: Drive an agile, iterative delivery process and oversee end-to-end predictive model lifecycle management, from ideation and validation through scalable deployment, monitoring, and optimization * Executive Communication & Storytelling: Communicate clear, actionable, and data-driven recommendations to all audiences, including senior and executive leadership, shaping strategy through compelling, tailored narratives * Data Platform Collaboration: Collaborate closely with Data Engineering and Analytics Engineering to design and scale enterprise data assets, features, and metrics that meet evolving analytical needs * Governance & Responsible AI: Establish and enforce best practices for metrics design, experimentation, and data governance. Champion data ethics, compliance, and responsible AI standards to promote transparency and trust * Enterprise Data Strategy: Partner with leaders across Data Platform, Data Product Management, and Data Governance to develop and execute the overarching Enterprise Data Strategy What You'll Need Minimum Qualifications * 8+ years of experience in Data Science, Machine Learning, or related analytical fields, including 3+ years leading high-performing technical teams * Advanced degree (MS/PhD) in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, or similar) * Demonstrated ability to translate ambiguous business problems into analytical frameworks and deliver measurable business impact * Experience in SaaS or B2B environments, especially where data products directly enable go-to-market, customer success, or product strategy * Hands-on experience deploying and operating ML models in production, including monitoring, optimization, and lifecycle management Preferred Qualifications * Deep expertise in statistical modeling, causal inference, experimentation design, and applied analytics to drive business decisions * Strong familiarity with modern data ecosystems, including cloud data warehouses (Snowflake, BigQuery), data modeling best practices, orchestration tools, enterprise BI platforms (e.g., Looker, Tableau, Sigma), and MLOps/ML lifecycle platforms * Experience building or applying NLP, recommendation engines, forecasting models, or other advanced analytical solutions * Strong programming skills in Python and proficiency with modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) * Demonstrated ability to design, govern, and scale standardized metrics, dashboards, and self-service BI workflows across business functions * Exceptional communication and stakeholder-management skills, with the ability to influence senior leaders and simplify complex concepts for diverse audiences * Proven success in hiring, developing, and scaling technical talent across Data Science and BI disciplines Working Conditions & Travel Requirements * Ability to travel to meet with customers and/or key stakeholders, product teams in other Workiva locations (up to 25%) * Reliable internet access for any period of time working remotely, not in a Workiva office How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email ___. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: We are seeking a highly analytical and collaborative Manager to support and grow our Analytics team. This role requires strong technical skills in data analysis along with the ability to manage projects and support cross-functional teams. The ideal candidate will have experience mentoring analysts, managing business-critical requests, and contributing to a scalable data foundation that drives decision-making. This individual will play a key role in promoting efficiency, consistency, and innovation across our Analytics team. Why you'll love working here: • Our work makes a difference. We are a highly motivated team of specialists on a mission to improve the U.S. healthcare system for over 5 million members., • We value diverse perspectives. We bring our full, authentic selves to a culture that values high performance and genuine connection., • We are scaling fast. We are a rapid-growth organization with a strong financial outlook, affording stability while paving the way for innovation and creativity at every turn. Key Responsibilities: Team Support&ProjectManagement • Help set and track priorities, ensuring delivery of key analytics projects aligned with business goals., • Support the adoptionof analyticsbest practices and tools through training sessions and knowledge sharing., • Contribute to the execution of data analytics initiatives that align with business needs., • Collaborate on the development of scalable processes for data collection, analysis, and reporting., • Identifyareas for improving efficiency through process improvements, automation, and better data practices., • Conduct data modeling and analysis to generate insights that inform business strategy and process improvements., • Translatecomplexanalytical findings into clear, actionable recommendations using visualizations and presentations., • Partner with product managers, business leaders, and clients to understand analytics needs and prioritize requests accordingly., • Proactively manage and foster stakeholder relationships by acting as a strategic, consultative advisor with a keen understanding of businessobjectives., • Ensure adherence to company compliance standards, including reporting any noncompliance., • Support the development and implementation of quality controls and departmental standards to satisfy organizational and regulatory requirements., • Participate in internal training sessions to support continued learning and development., • Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. Qualifications & Experience: • 4-6years of experience in data analytics, business intelligence, ora relatedfield., • Experience in PBM, health plans, healthcare, or Medicare., • Familiaritywith pharmacy claims data, medical claims data, and client reporting metrics., • Expertisein SQL, Python, or R for data analysis, with strong coding hygiene and documentation practices., • Ability to perform complex analyses and synthesize findings into business insights., • Track recordof partnering closely with internal and external stakeholders to provide consultative analytics support, proactively advising on business opportunities., • Workingknowledge of data engineering fundamentals and working with cloud-based data warehouses (e.g., Snowflake,BigQuery, Redshift)., • Proven ability to prioritize and manage multiple projects in a fast-paced environment., • Excellent communication and stakeholder management skills, with the ability to present complex data insights to executives. Preferred Qualifications: • Experience working in large-scale, high-growth organizations., • Knowledge of machine learning or advanced statistical modeling techniques., • Familiarity with Agile project management methodologies., • Master's degree inComputer Science, Actuarial Science, Statistics, Economics,ora related field. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Lab or Department & Position Overview The Chan Lab in the Human Oncogenesis & Pathogenesis Program at Memorial Sloan Kettering Cancer Center is seeking a highly motivated and successful computational postdoctoral fellow to study the mechanisms and therapeutic implications of tumor cell plasticity. Our lab in translational computational oncology integrates single-cell and spatial genomics, cell-free DNA profiling, and machine learning to understand how tumors evolve under therapeutic and microenvironmental pressures. We leverage large, deeply annotated patient cohorts with longitudinal sampling, tightly coupled with functional preclinical models, to enable discovery and validation of mechanisms of tumor evolution. A central focus is lineage plasticity, the ability of cancer cells to transition between phenotypic states, which underlies metastasis, immune evasion, and drug resistance. Current research directions include: * Defining transcriptional and epigenetic programs that drive lineage plasticity across adenocarcinoma, squamous, and neuroendocrine states in solid tumors * Investigating analogous mechanisms of lineage switching in hematologic malignancies, including Richter's transformation and myelofibrosis. * Mapping immune and treatment-induced pressures that shape cell fate decisions across space and time * Building predictive computational models of lineage transformation and therapeutic resistance through multi-modal data integration (scRNA-seq, ATAC-seq, spatial imaging, lineage tracing, cfDNA) This position offers the opportunity to work with deeply annotated patient cohorts, longitudinal samples, and cutting-edge experimental systems in a highly collaborative environment. We are seeking individuals who bring creativity, intellectual curiosity, and a strong drive to uncover underlying mechanisms, with a clear motivation to translate discoveries into improved patient care. Responsibilities include developing and applying computational methods, biological interpretation, assisting or leading in manuscript writing, engaging in a vibrant scientific community through regular work-in-progress and lab meetings, and other academic activities. For more information, please visit the lab website at ___. Candidate Requirements The ideal candidate should have: * A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field * Proficiency in Python and R * Prior experience in computational biology * Ability to engage in independent thinking * Excellent skills in written and verbal communication * Collegiality as a team member and a willingness to mentor other trainees * At least 1 published first-author manuscript Required: Application Submission Details If you have any questions about this job opportunity, please contact: Dr. Joseph M. Chan, MD, PhD Please include a cover letter, brief statement of prior research experience and research interests, CV, and contact information for three references in your application submission. Salary Range Salary: $72,000-$87,000 (depending on postgraduate experience) Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Summary: • Identify opportunities to reduce medical expenses and collaborate with other areas to implement and monitor performance., • Develop studies, analyses, and presentation materials needed to appropriately inform decision makers., • Complete pricing analysis, experience analysis and studies, financial projections, and other actuarial/financial calculations., • Run, modify, and create data queries to produce analysis and reports. Responsibilities: • Perform actuarial tasks which are of a mathematical and quantitative nature., • Support analysis of hospital, professional, and drug claim/utilization trends, membership/demographics, and various other ad-hoc analyses., • Maintain appropriate controls around models and other work products., • Ensure quality and on time completion of deliverables., • Assist with rate filings or valuation calculations., • Support preparation of forecasts and monitoring of results or trends., • Support development of efficient and transparent queries to obtain data that is appropriate to the purpose, • Ensure internal and external consistency of all work., • Perform reasonability checks dependent on industry knowledge and experience., • Develop and implement analyses for special projects., • Provide technical and analytical support for the actuarial department., • Proactively take on additional work as needed by the team., • Perform duties and assignments as directed or required. Qualifications * Bachelor's degree in Actuarial Science, Mathematics, other physical science, or related finance/business degree required • 3 - 5+ years relevant, professional work experience and/or education required, • Must make sufficient progress toward obtaining actuarial credentials, defined as sitting for a minimum of one exam per year, scoring above a zero, and obtaining at least a combined score of 5 over two consecutive sittings, • When unable to meet the progress outlined in the bullet above, the role will be transitioned to a non-Actuarial job title and job description, • Actuarial/analytical experience, preferably in a healthcare environment preferred, • Strong mathematical and analytical skills. required, • Strong communication skills (verbal, written, presentation) required, • Strong working knowledge of MS Office (Outlook, Word, Excel, PowerPoint, etc.) required, • Working knowledge of SQL, R, Python or similar required, • Capable with Excel, data extraction, simulations, automation required Additional Information • Requisition ID: 2600A, • Hiring Range: $56,160-$99,360

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Research, SDI team, you will report to the Science Director, MEL Core. You will lead the Informatics and Analytics team, overseeing data management workflows, and reporting activities that support monitoring, evaluation, and learning projects across the Institute. You will manage a team of data professionals to perform data quality control and ensure data processing, interpretation, and reporting. Working in close collaboration with other teams, you will guide analytics projects, create indicators, develop data dashboards and reports, and translate complex data into applicable insights. You will be responsible for project planning, timeline and team management, quality assurance of analytical outputs, and promoting collaboration with internal and external partners to improve evidence-based decision-making. This is an exempt, full-time, hybrid position located ((in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: * Lead the Informatics and Analytics team, providing direction and oversight of all analytical activities * Manage project plans, timelines, and documentation while identifying risks and implementing mitigation strategies * Oversee data management workflows across multiple platforms, ensuring data integrity and quality control * Set priorities, analytical requirements, and timelines for MEL Core informatics projects in collaboration with senior leadership * Collaborate with the Director of Program Management and Operations to integrate data acquisition and analytics workflows * Work with applied neuroscience, machine learning, and evaluation teams to support complex analyses and produce reports for funding agencies * Develop data dashboards, visualization tools, and reporting systems for evidence-based decision-making * Support manuscript preparation, data visualization, and distribution of research findings * Communicate with PIs, MEL Core leadership, and external partners * Perform additional job-related responsibilities as assigned You Have: * Master's degree in data science, Statistics, Psychology, Public Health, BiomedicalEngineering, Computer Science, or related field * 5+ years of clinical research, data analytics, or project management experience, with atleast 2 years in a supervisory role * Proficiency in statistical programming languages (R, Python, STATA, SAS) and datavisualization tools (such as Power BI) * Experience with data management systems and electronic data capture platforms(REDCap, SQL databases) * Knowledge of research methodologies, evaluation frameworks, and data analysistechniques) #LI-hybrid. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Columbia Business School is seeking to hire a Staff Associate of research for the Decision, Risk, and Operations (DRO) Division. The work will include quantitative and qualitative research and analysis involving the collection, coordination, and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.) and work on special projects relating to pertinent fields of research within the division. This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as operations research, operations management, statistics, and economics; and it would be ideal preparation for a PhD program or other graduate study. The Staff Associate duties involve work in one or more of the following areas of research: Economics and Statistics. Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation., • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.)., • Perform statistical analysis, including regression analysis and machine learning techniques., • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets., • Perform case-based research, including work with detailed primary documents. Bachelor's degree in Economics or Finance or in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, Data Science, etc. • At least 6 months of experience in a research role or as a research assistant., • Programming experience in STATA is required. Strong preference for those who also know Python or R., • Additional programming experience in one or more of the following languages: SQL, SAS, Matlab, and/or C is preferred., • Familiarity with statistical tooks such as linear regression is required., • Demonstrated exceptional written and oral communications skills needed - a writing sample is required., • Expertise in processing large volumes of data and algorithm design expertise., • Experience in market design applications preferred., • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred., • Candidate must be able to work on multiple projects simultaneously. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Dermatology at Columbia University is seeking a highly motivated Associate Research Scientist with an interest in adult mammalian stem cell homeostasis to join our group. The position will address the mechanistic regulation of adult cutaneous epithelial niches that may be compromised during aging and the impact of this dysregulation on tissue integrity, function and cancer. The Basic Science Research Group within the Department of Dermatology at Columbia University is an exciting, multidisciplinary workplace with excellent resources. We are seeking creative and highly motivated individuals interested in working in a dynamic research environment, where they will have the opportunity to gain diverse basic, pre-clinical and clinical research experience, and receive excellent mentoring. The candidate will be responsible for performing rigorous cell biology, biochemistry and bioinformatic analyses using well-defined mouse models targeting specific stem cell niches in the adult skin. The candidate will be responsible handling bioinformatic analyses focused primarily on single-cell and bulk RNAseq data sets. Candidates with prior experience in bioinformatics (transcriptomics and genomics), systems biology, or RNAseq data structure/analysis will be considered highly competitive. Candidates at minimum should have experience with standard bioinformatic analysis (differential expression, basic classification, genomics, data visualization, etc), statistics, and/or programming experience (R, perl, java, python, etc). Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Job DescriptionAbout the Company Infillion is the first fully composable advertising platform, built to solve the complexity, waste, and opacity in the digital media ecosystem of the last decade. Born from $750 million in investment and the unification of category-defining technologies, including MediaMath, TrueX, Gimbal, Drawbridge, and most recently Catalina, Infillion engineered these powerful assets into scores of interchangeable, agentic-ready components. Infillion provides a single, flexible infrastructure that serves media buyers, tech decision-makers, and media sellers. Whether through white-glove managed service, self-service control, or API-based automation, Infillion empowers businesses to execute their unique strategies with zero-hop efficiency, proprietary AI logic, and radical data transparency. Headquartered in New York City, Infillion powers the world's leading brands, agencies, and platforms. Learn more at About the Job The Jr. AI Engineer role will develop AI automations and company-wide tools in support of the office of the COO. This role sits at the intersection of software development, AI, and business operations. An individual with expertise in software development, AI tools and an operational mindset will be deployed across the organization to help disseminate crucial information and efficiencies to teams. What you'll be doing: • Design and develop generative AI Products that address real challenges across the organization, • Translate complex business problems into simple, scalable technical solutions, • Partner with stakeholders across departments (Ops, HR, Finance, and the Executive team) to identify inefficiencies and opportunities for AI automation, • Build and test backend AI components that combine data, logic, and model reasoning into workflows, • Contribute to architecture and implementation plans, helping connect models, data sources, and business processes crucial to Infillion's management operating system, • Help design and implement solutions that streamline integration efforts as the Infillion portfolio of companies grows., • Prototype quickly, test with users, and iterate based on feedback, • 1–3 years of experience in software development (or strong equivalent project experience), • Bachelor's Degree in Computer Science or a related field, • Familiarity with APIs, databases, and basic system design, • Exposure to AI/ML concepts and tools (e.g., OpenAI APIs, embeddings, prompt engineering, automation tools), • Full-stack capability: comfortable building both backend services and clean, functional frontends with proficiency in programming languages such as Python, JavaScript/TypeScript, etc., • A proactive go-getter — you take ownership and are accountable for all you do, with the initiative to learn new skills on the fly, • An effective communicator — you know how to get your point across clearly regardless of who you're speaking to It's no secret that we work hard, but we also strive to create an office environment where the lines between work and play are blurred. This means we offer these great perks to help keep our team healthy, productive, and happy. • Base salary of $70,000 - $85,000, • 100% company-paid health, dental, and vision coverage for you and your dependents, • Company-paid life insurance, short-term, and long-term disability, • Unlimited paid time off - we trust your discretion, • Opportunities for profit sharing, bonuses, and ownership, • 401k plan with company match

Job Description Location: New York, NY Our client is a distinguished provider of legal services on a global scale. As an Innovation AI Developer, you will serve as a key member of the client’s Innovation Engineering team, responsible for designing and implementing intelligent, secure, and scalable AI applications to enhance the delivery of legal services and optimize business operations. In this capacity, you will collaborate closely with attorneys, business leaders, data scientists, and infrastructure teams to translate complex legal and operational needs into effective AI solutions with measurable outcomes. You will be involved in the entire AI lifecycle—from initial use case identification through production deployment and system monitoring—utilizing large language models (LLMs), retrieval-augmented generation (RAG), traditional machine learning approaches, and modern cloud architectures to advance efficiency, quality, and informed decision-making. This position offers the opportunity to develop enterprise-level AI capabilities at one of the world’s premier law firms, operating at the forefront of advanced engineering and impactful legal practice. The firm is committed to upholding rigorous performance standards and fostering a culture oriented toward growth. Individuals demonstrating initiative and dedication will be afforded opportunities for increased responsibilities and long-term career advancement within the organization. Desired Qualifications and Experience: · Bachelor’s degree in computer science or a related field preferred. · 7+ years of experience in professional services, legal, or technical environments, with demonstrated hands-on experience building and deploying AI applications. · AI Engineering Expertise – Strong Python development skills and experience designing and implementing RAG pipelines, working with vector databases (e.g., Pinecone), and building AI agents and multi-service AI architectures—particularly within Azure environments. · Cloud & DevOps Proficiency – Familiarity with Azure services (e.g., Cognitive Search, Cosmos DB, AI Studio), as well as Docker, Kubernetes, and CI/CD practices that support scalable, production-ready deployments. · Experience designing and maintaining LLM evaluation frameworks (e.g., Promptfoo, OpenAI Evals, LangSmith) and integrating structured and unstructured data sources into AI systems. · Experience operating within environments that require strict adherence to security, privacy, and governance standards for sensitive data. · Business Acumen & Communication – Proven ability to conduct stakeholder discovery, quantify return on investment (ROI), and translate ambiguous challenges into clearly defined AI requirements. · Strong communication skills with the ability to explain complex technical concepts to non-technical audiences. · Legal Domain Exposure (Preferred) – Experience supporting legal use cases such as due diligence, contract review, or legal research, and prior law firm experience. Summary of Responsibilities: · AI Solution Architecture & Development – Collaborate with legal and business stakeholders to identify high-value AI use cases, define measurable success criteria (e.g., efficiency, quality, risk reduction), and architect scalable solutions using Python and modern AI frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LangFlow. · Retrieval-Augmented Generation (RAG) & Intelligent Systems – Design, build, and maintain RAG pipelines using vector databases and knowledge graph solutions. Develop AI agents that automate multi-step workflows and enable sophisticated task orchestration. · Create reusable libraries, patterns, and documentation that support long-term innovation and maintainability across the firm’s AI ecosystem. · Design and maintain LLM evaluation frameworks to measure accuracy, robustness, safety, and alignment to use-case objectives. Ensure AI systems meet firm security, privacy, and governance standards. · Support continuous integration and continuous delivery (CI/CD) workflows, containerization (Docker), and orchestration (Kubernetes) to ensure production readiness. Partner with infrastructure and security teams to support hybrid cloud and on-premise deployments in sensitive data environments. · Serve as a subject matter resource for attorneys and business teams, advising on prompt engineering, model selection, and architecture decisions. Support pilot implementations, user training, and feedback loops to drive adoption and measurable impact. · Evaluate new tools, open-source libraries, and vendor platforms to inform firm AI strategy. Contribute to internal education and thought leadership on AI best practices. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

The Singh lab (tjsinghlab.com) is looking for a motivated postbaccalaureate computational research associate to contribute to method development and analysis in statistical genetics. The candidate will apply statistical methods to analyze genetic and phenotypic data from clinical collections and population biobanks that include tens to hundreds of thousands of individuals. The candidate will use the depth and diversity of these multimodal datasets to characterize the effects of genetic risk factors for psychiatric and neurodevelopmental disorders. Specifically, they will analyze common, rare, and structural variants from whole-genome sequence data and detailed phenotypic (questionnaire, clinical, and imaging) data using novel and scalable methods in statistical genetics and machine learning to understand the pathogenesis of brain disorders. We hope to use these insights to identify genes associated with increased risk of particular symptom clusters and pinpoint pathways and processes associated with disease biology. The position is intended for two years, with the opportunity for renewal and promotion. We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC), with primary affiliations at the Columbia University's (CU) Department of Psychiatry and the New York State Psychiatric Institute (NYSPI) and a secondary affiliation at Columbia University's Zuckerman Mind Brain Behavior Institute. The position offers a unique opportunity to participate in a multi-institute research environment in New York City, with collaboration opportunities. Your work will support the building and strengthening the neuropsychiatric genetics program at the NYGC and CU Psychiatry. You are encouraged to learn from and engage with other researchers in lecture series, grand rounds, and academic events at these centers and institutes, which include work in statistical genetics, functional genomics, basic neuroscience, and clinical translation. In addition to leading research in our team, you can access resources for professional advancement and skill development at the NYGC and Columbia, which will help you apply for graduate school or pursue an industry career. Key Responsibilities • Apply statistical, computational, and machine learning methods for analyzing large-scale genetic and phenotypic data using scalable technologies;, • Implement, document, and scale these methods using robust programming tools and practices for internal use and for sharing with the community;, • Contribute to the preparation of manuscripts and subsequent submission to academic journals;, • Present regularly at internal meetings at NYGC and Columbia;, • Actively participate in lab activities;, • B.A. in Biological Sciences, Genetics, Statistics, Computer Science, or equivalent;, • Familiarity in at least one modern programming language, including Python, R/RStudio, Java, C/C++, or equivalent;, • Familiarity with Unix/Linux platforms, such as basic shell scripting;, • Familiarity or interest in applying software engineering best practices (e.g., GitHub for version control, Docker for reproducible environments, etc.);, • Interest in learning about and analyzing high-throughput sequencing data (especially human genetic and functional data);, • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant to the current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments., • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces the diversity of perspective; communicates clearly and listens carefully; use good judgment as to what to communicate and when to do so. The Computational Research Associate will meet regularly with Dr. Singh at NYGC, Columbia University's Department of Psychiatry, and the New York State Psychiatric Institute. The candidate will also interact regularly with researchers at these institutions. The Associate will participate in group meetings at both NYGC and Columbia and will participate in meetings of NYC-wide working groups if required. The fellow can access resources for professional advancement and skill development at the NYGC and Columbia. Salary The pay range for this position is $58,000 to $63,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. The NYGC offers a full range of medical, financial, and other benefits and generous time off. Work Flexibility NYGC has established a flexible work policy to allow employees and other staff to balance work, personal commitments, and commuting challenges. The incumbent in this position is eligible for a flexible work schedule or hybrid remote work arrangement (working onsite at least two days per week) with supervisory approval. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the-art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in mutual interest to the wider scientific community and us. Equal Opportunity NYGC is committed to creating a workplace where our employees reflect the rich diversity of the New York community- in race, gender, age, culture, and beliefs - and we work to support this diversity through our employment practices. We want our employees to thrive both personally and professionally. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status - Non-Exempt This position is not eligible for visa sponsorship by the New York Genome Center orand relocation assistance. Candidates who do not require visa sponsorship (such as U.S. citizens, those who qualify for anStudents on an F-1 visa can qualify through an Optional Practical Training (OPT) program or Extension). Job Location New York, New York, United States Position Type Full-Time/Regular For specific inquiries Please email with the subject header "Research Position Inquiry: XXX."

Scale's Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: • Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins, • Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs, • Build out pipeline infrastructure to ensure quality and efficiency, • Train, coach, and manage dynamic and global teams, • Build analytics to make data-driven decisions, • Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world, • Give regular progress updates to Scale's executive team You Will Have:, • A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes, • 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE, • Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems, • Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$151,200—$189,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Satija lab at the New York Genome Center is looking for an enthusiastic and highly motivated senior computational biologist. We encourage applications from talented scientists who are interested in gaining experience in a multidisciplinary, international, and dynamic research environment. The successful candidate will supervise and work closely to PhD students, postdoctoral fellows, and computational biologists in the lab to develop new statistical methods and software for the analysis of single cell datasets. This is an exciting opportunity to learn about the latest developments in the growing space of single cell genomics while contributing to new research in cancer immunology and developmental neuroscience. Job duties will include: • Develop computational methods to analyze single-cell genomics datasets;, • Contribute to the codebase, development, and support of open-source software packages;, • Assist in data analysis and interpretation for diverse research projects;, • Help to manage lab servers and computational infrastructure; and,, • Document and present results in written or oral reports to other lab members., • PhD or MS degree in bioinformatics, computer science, biology, biochemistry or similar;, • Excellent programming skills, for example, in R, Python, and BASH;, • Experience working in a Linux environment;, • Team oriented with excellent written and verbal communication skills;, • Training in statistics or machine learning preferred;, • Exposure or training in NGS data analysis, functional genomics and/or human genetics preferred. Salary The salary range for this position is $100,000-120,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments., • Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so., • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are, protected veterans, and individuals with disabilities. FLSA Status - Exempt This position is eligible for visa sponsorship and relocation assistance.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). 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: $104,000 and $156,000 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: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Pay Rate: $74.00 - $78.00 Negotiable based upon years of experience Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Data Scientist Summary: Immediate contract opportunity for an experienced professional Location: Rutherford, NJ Role involves establishing and implementing new or revised applications and programs in the Technology team Focus on data extraction and analysis from structured and unstructured sources Develop systems to clean results and build predictive and prescriptive models Implement models in a production environment Address complex problems involving financial data with a focus on credit risk management Open to learning new and advanced models in LLM and GenAI Responsibilities: Architect, design, and implement robust Python-based solutions Lead global technology teams across different time zones, enabling a hybrid work model Drive Object-Oriented Programming (OOPS) principle-based development Mentor team members to leverage advanced Python coding techniques and features Partner with multiple management teams for integration of functions and system enhancements Resolve high impact problems/projects through in-depth evaluation of complex business processes Provide expertise in applications programming and ensure design adheres to architecture blueprint Develop standards for coding, testing, debugging, and implementation Provide in-depth analysis with interpretive thinking for defining issues and developing solutions Serve as advisor or coach to mid-level developers and analysts Implement Unit Testing and TDD to ensure software quality and maintainability Assess risk when making business decisions, demonstrating consideration for the company's reputation Requirements: PhD or master’s degree in computer science, data science, statistics, mathematics, engineering, or related field 5 years of industry experience specializing in ML modeling, ranking, recommendations, or personalization systems 5 years of experience designing and developing scalable and reliable machine learning systems Strong background in ML/DL/LLM algorithms, model architectures, and training techniques Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages Ability to work independently and collaboratively within a team Preferred Skills: Experience in GenAI/LLMs projects Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) Background in financial business like banking, risk management Familiarity with capital markets and financial instruments and modeling

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager, you will lead the implementation and validation of evaluation frameworks for assessing both AI systems in clinical and mental health research contexts, and the symptoms of their users. You will own the distillation of clinical definitions into evaluation rubrics, combining applied clinical science with evaluation operations to ensure that rubrics are clinically grounded and operationally scalable. You will work closely with both the clinical and data science teams, ensuring knowledge is effectively operationalized to the satisfaction of both specializations. Supervising a small team of data science and software professionals, you will establish reliability standards, oversee the design of metrics for use in multi-rater evaluation systems, and ensure scientific rigor through quality assurance, versioning, and comprehensive documentation. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Translate clinical symptom evaluations and manualized therapeutic protocols into reliable, consistent, precise, and scorable evaluation criteria., • Design and implement metadata standards and protocols for multi-rater clinical evaluation systems, enabling crowd-sourced ratings from diverse clinical experts., • Set reliability standards and adjudication logic for resolving disagreements among clinical annotators, ensuring consistency across large-scale annotation efforts., • Establish and enforce quality assurance processes, versioning systems, and comprehensive documentation for all evaluation rubrics and measurement frameworks., • Contribute to scientific publications, white papers, and technical documentation of measurement methodologies and validation studies., • Collaborate with clinical leadership to ensure evaluation criteria accurately reflects clinical best practices, safety standards, and clinician feedback., • Supervise and mentor a small team of data analysts and engineers, providing guidance on evaluation methodologies, statistical analysis, and rubric implementation., • Collaborate with other technical project stakeholders, to ensure that technical definitions and requirements of all curated rubrics and resources are being met. You Have: • PhD, PsyD, MD, or equivalent experience in measurement science, psychometrics, biostatistics, clinical psychology, epidemiology, or related field, • 8+ years of applied evaluation experience in clinical research, health outcomes research, or psychometric assessment, • 5+ years of experience with patient evaluation, clinical rating scales, or performance assessment frameworks, • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. Experience can be concurrent with education., • 5+ years of experience with applied statistics, including reliability analysis, classical test theory, item response theory, or factor analysis., • Demonstrated leadership of multi-rater or benchmark systems. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description Established in 2004, OLIVER is the world's first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Production Technology Director Location: Remote, United States About the role: Working in true collaboration with our tech team, we are looking for a Senior Production Technology Director to help audit our current processes and develop a production technology toolset that is robust, scalable, and increasingly powered by AI and advanced automation. You will be working with the, internal clients Implementation, IT & Services, and Sales to develop new workflows as a core part of our service offering. The purpose of this role is to manage overall daily production support across the group, oversee the specification and build of AI-powered tools and solutions, and consistently improve current workflows to enhance cost and production efficiency, quality, and service levels. You will guide and manage a team of Developers and Technology Managers, setting technical direction, nurturing talent, and ensuring the team operates together at a high standard across all production technology initiatives. This includes overseeing the team's adoption and proficient use of AI-assisted coding and scripting tools (such as GitHub Copilot, ChatGPT, Claude, and other LLM-based development assistants) to accelerate development cycles, improve code quality, and reduce manual effort in building and maintaining production solutions. You will be required to support the Technology Director in the management of key new account implementations from a technical and operational point of view, working with them to create comprehensive projects to deliver production automation and company-wide solutions. This includes identifying, specifying, and building overseeing bespoke AI-powered tools — from adaptive workflow automation and predictive production scheduling to AI-enabled quality assurance and content adaptation — cooperating with internal stakeholders to ensure plans are delivered on time and on budget. With a track record in complex projects, you will help ensure the smooth transition of the plan and manage ongoing needs. The primary focus for this role will be to implement and consistently improve the daily operational effectiveness of accounts. Tightening up processes, streamlining workflows, embedding AI and machine learning solutions where they can deliver measurable gains, and ensuring teams cooperate around best practices — making sure we are utilising the systems, resources, and partners we have to their fullest potential. The Senior Production Technology Director is responsible for ensuring that the agency has best-in-class processes, systems, and AI capabilities that maintain the highest standards in project and campaign delivery and meet the evolving demands of the client with the same level of commitment and passion as the client. Work with the Production Support Team to define and implement workflows on tools like Dalim ES/Twist and other automation tools, including AI-enabled automation platforms, and to promote use of automation and AI across the group. Working with the Global Technology and Innovation Director, PMO office, and OMG team to evaluate, architect, and implement AI-powered automation software across our network of agencies and hubs globally — including assessing emerging AI technologies, building proof-of-concept solutions, and scaling successful implementations across the business. What you will be doing: • Guide, manage, and develop a team of Developers and Technology Managers, setting clear goals, conducting code reviews, and fostering a culture of innovation, collaboration, and continuous improvement, • Spec, design, and oversee the build of AI-powered production tools and platforms — from requirements gathering and solution architecture through to development, testing, and deployment, • Encourage and promote the use of AI-assisted coding and scripting tools across the development team (e.g., GitHub Copilot, LLM-based code generation, automated testing frameworks, AI-enabled debugging) to accelerate delivery, improve code quality, and reduce repetitive manual development tasks, • Evaluate emerging AI/ML technologies (including generative AI, computer vision, NLP, and smart automation) for application within production workflows, recommending and implementing solutions that deliver tangible efficiency and quality gains, • Build and maintain AI-powered automation pipelines for content production, asset management, quality control, and workflow orchestration, • Accountable for delivery of assigned projects to time, scope, and quality, • Advise and connect with stakeholders internally and externally, developing warm, trusting working relationships with various teams across the business and with key client contacts, • Ensure project plans are signed off and have met quality standards and guidelines before deployment, • Ensure projects are accurately recorded within agreed tools, • Ensure all tools are deployed following consistent agency standards, e.g., our internal tool OMG, • Map and deploy agreed process changes, including AI-augmented workflows and adaptive routing and prioritisation systems, • Ensure key documentation is created and training is provided to new team members, including AI tool onboarding and upskilling programmes for the wider production team, • Provide input into ongoing process improvements and changes to ensure the team is continuously improving, leveraging data insights and AI to inform and shape direction, • Establish best practices and governance frameworks for responsible AI use, including data privacy, ethical AI standards, and quality assurance for AI-generated outputs, • A desire to be in the detail — systems, processes, profitability, utilisation, production, and delivery, • Experience in fast-paced agencies. This business manages scale and speed across the USA and Canada, • Trusting, dependable relationships built through honest, consistent delivery What you need to be great in this role:, • 10+ years of technical services experience in a complex production environment — not a traditional agency — across Print, Digital, Social, and Motion technologies, • Demonstrated experience managing and nurturing teams of Developers and Technology Managers, with a track record of attracting, retaining, and growing technical talent, • A solid understanding of AI and machine learning technologies, including practical experience specifying, building, or implementing AI-powered tools and solutions within a production or creative technology environment, • Hands-on experience with AI-assisted development workflows — comfortable using and promoting tools like GitHub Copilot, ChatGPT/Claude for code generation, scripting automation, prompt engineering, and AI-enabled QA/testing, • Experience with AI/ML frameworks, APIs, and platforms (e.g., OpenAI, Azure AI, AWS AI/ML services, Google Cloud AI, or similar) and an understanding of how to integrate these into production systems, • Familiarity with scripting and programming languages commonly used in production automation (e.g., Python, JavaScript, Shell scripting) with the ability to leverage AI tools to accelerate coding, troubleshooting, and solution development, • Experience in building and deploying complex production technologies, • Experience in implementation of large-scale projects and ideally change management processes, • Ability to manage multiple projects in a fast-paced environment, • Excellent planning and organisational skills, • Ability to work under pressure to meet deadlines, • Effective interpersonal and collaborative judgement skills, • Excellent attention to detail and accuracy skills, • Capable and forward-thinking — able to manage their work and always meet commitments, • A thoughtful, methodical thinker with common sense, • Ability to question constructively and explore ideas openly (both their own and others'), • Ability to see the bigger picture, • Technical competence and understanding of creative process / working within a creative environment, • Clear, effective communication skills both internally and externally with clients, • Past experience in managing external partner relationships, • A genuine passion for AI innovation and a curious, considerate mindset — constantly exploring how new technologies can transform production workflows and deliver meaningful advantage Be Ambitious to succeed Be Imaginative to push the boundaries of what's possible Be Inspirational to do groundbreaking work Be always learning and listening to understand Be Results-focused to exceed expectations Be actively pro-inclusive and anti-racist across our community, clients and creations OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws. OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: full time, • Standard Work Schedule:, • Building: Columbia Investment Management Company, LLC ("IMC") is a wholly-owned subsidiary of Columbia University charged with stewarding Columbia's managed assets for the current and future support of University operations and with preserving the purchasing power of the endowment over the long term. Almost all assets across the $15B+ endowment are managed externally in a diversified strategy that uses active and passive management techniques across a wide range of asset classes. The IMC seeks professionals who embody our values. We seek those who recognize that first and foremost, we are stewards of the University. We are purposeful about the decisions we make, always mindful that decisions must reflect the strategy and the priorities of the organization. We strive to balance the art and science of investing using tools and technology to enhance decision-making. We value technology in our process, but know that it is most effective when combined with human judgment and an eye towards assessing how we expect markets and processes to evolve over time. We are intellectually honest, holding ourselves and others to account so that we make the best decisions for long-term outperformance. Finally, we are a team. A team that shares responsibility for the inputs and outputs of our process. We believe strongly in collaboration and effective communication as requirements for success. The Chief Technology Officer will report to the IMC's CEO and President and will work closely with all members of the IMC in a team-oriented environment. The candidate will develop a strong working knowledge of the investment management and operational needs of the IMC in order to continue improving its existing infrastructure. Responsibilities • The Chief Technology Officer is charged with developing a strategy that meets the current needs of the IMC but maintains flexibility to evolve with technology., • Assist in further developing and integrating solutions to assist in the management and analysis of a multi-asset class portfolio., • Although the candidate will manage both an internal team and consultants, this is a hands-on role in architecture, programming, responsible for project management, security, effectively delegating and managing projects, as well as helping to guide and develop the existing development team (including consultants)., • The CTO will be expected to apply industry best practices and design patterns to design scalable, secure, and strategic solutions that have superior technical performance., • Comfortable managing ongoing maintenance and support of all applications., • Bachelor's degree., • Master's degree desirable., • Experience working with instances deployed in AWS is a plus, along with familiarity with cloud services in AWS and Azure, including serverless architectures. Familiarity with or prior exposure to the Python data science stack (e.g., pandas, JupyterHub) is helpful., • Experience with full-stack development from front-end to back-end, preferably in a Microsoft environment., • Extensive SQL programming, including writing and maintaining SQL stored procedures., • Knowledge of web-based application development (TypeScript, React)., • Some experience building and managing data pipelines (i.e., ETL processes) and deploying scalable containerized applications., • Excellent interpersonal, written, and oral communication skills required to effectively communicate with a variety of audiences., • Strong organizational skills and attention to detail., • Excellent spreadsheet and analytical skills., • Strong critical thinking skills, a high degree of intellectual curiosity, and a desire to take on greater responsibilities and leadership., • Demonstrated ability to work both autonomously and collaboratively in a demanding environment., • Ability to manage multiple tasks simultaneously and meet deadlines for short, long, and ad-hoc assignments., • Commitment to exceptional quality and the highest ethical standards. Columbia University is committed to the hiring of qualified local residents.

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35 POSITION SUMMARY The Emergency Department at Columbia University has a diverse portfolio of internal and externally funded clinical and epidemiological research with a strong focus on data science. We are seeking an enthusiastic and creative data analyst to join our team of research investigators. The data analyst will work on research projects employing latent variable modeling and risk prediction methods to better understand substance use related morbidity and mortality outcomes (e.g., overdose, hospitalization). This position is ideal for someone with a strong background in applied statistics, epidemiology, or data science, and passion for working with public health challenges involving substance use and behavioral health. Reporting to Raquel Shrager, Director and Dr. Kechna Cadet (Principal Investigator), the Data Analyst will be responsible for preparing, developing, and presenting analytic solutions for the wide breadth of research in the Department of Emergency Medicine. This is a dynamic role, in which the Data Analyst will work closely with the Principal Investigator to guide study design, database creation, management, and analysis. Responsibilities PRINCIPAL RESPONSIBILITIES • Analyze complex datasets involving substance use behaviors, health outcomes, and sociodemographic factors, • Develop and validate predictive models for morbidity and mortality risk, • Work with structured and unstructured data from multiple sources (e.g., electronic health records, surveys, administrative datasets), • Interpret findings and communicate results via manuscript writing and presentations, • Develop dashboards to report requested data sets to varying audiences and for the portfolio of epidemiological research studies, • Help create and maintain research databases with guidance and direction from Principal Investigators, • Remain abreast and updated of NYP and CUMC mandates, provide data and metrics to comply as needed, • Serve as departmental liaison to Medical Center and University for data science related matters, • For externally funded programs, lead Pre-award requests for arranging data in preparation of grant applications, • Master's degree preferred in epidemiology, data science, biostatistics, public health, or related field, plus at least two years directly related experience required., • Advanced knowledge and proficiency in statistical programming (e.g., R, SAS, Python, Stata) preferred; prior experience with Tableau, and/or Epic preferred; working knowledge of MPLUS and SQL is a plus., • Must possess excellent interpersonal and communication skills; a professional and positive can do attitude is a must. Adept at solving problems quickly, efficiently, and independently. Columbia University is committed to the hiring of qualified local residents.

Intern, Data Science & Artificial Intelligence 2026Internship Dates: June1, 2026- August7, 2026 AArete is one of a kind when it comes to consulting firm culture. As an Intern at AArete, you'll have the opportunity to directly impact both team and client objectives while fostering your personal growth. We seek organized, motivated individuals excited to join our experienced consulting team and serve clients across healthcare, financial services, retail, and other industries. AArete Interns work closely with clients to understand critical issues and develop strategies for meaningful change. You'll leverage your analytical skills, entrepreneurial spirit, and commitment to excellence. We're looking for critical thinkers with exceptional communication skills who are eager to dive deep into business challenges, data analytics, and business case development to drive project success. The Role In this role, you'll demonstrate your analytical abilities and support the successful execution of project goals and deliverables. You'll have the chance to make a significant impact by addressing unique business challenges in both client and internal projects. Work You'll Do You will work on projectsin a variety of different areas within technology, including: -Data Architecture & Engineering • AI & Machine Learning -Business Intelligence & Visualization -Data Science & Analytics -Application Development What you'll gain • Professional and personal growth through a comprehensive internship program designed to develop your skills and career, • Direct impact on team and client objectives, allowing you to contribute meaningfully to real-world projects, • Hands-on experience with our experienced technology team, working on impactful projects across diverse industries, • Exposure to various sectors, including healthcare, financial services, and retail, broadening your industry knowledge, • Mentorship and guidance from experienced professionals in the field, • Networking opportunities with professionals and leaders in the industry, • Competitive compensation and valuable insights to kickstart your consulting career Requirements Education & Eligibility • Current undergraduate student entering either their 3rd year of a4-yeardegree program or in the 4th year of a 5-year program(Spring 2027 Grad), • Minimum3.0cumulative GPA, • Must be legally authorized to work in the United States without the need for employer sponsorship, • Must be able to spend the summer in our downtown Chicago office, personal preference and circumstances will be taken into consideration for any remote candidates who are unable to be on site Skills & Abilities • Hands-on experience with Agentic AI and Generative AI systems, • Familiarity with machine learning concepts such as classification, clustering, feature engineering, and model evaluation, • Understanding of generative AI tools and their applications in analytics and automation, • Knowledge in Agentic AI system using Strands SDK (or equivalent) and inferencing approaches, • Strong interest in pursuing a career in data science and analytics, • Demonstrated passion for continuous learning and staying current with emerging data science tools and technologies, • Ability to approach problem-solving with logical, analytical, and data-driven thinking, • Capable of understanding business objectives and using data to craft and deliver meaningful insights and solutions, • Proficient in Python, SQL, and data visualization tools (such as Power BI or Tableau), with the ability to further develop and apply these skills, • Works effectively both independently and collaboratively in project teams, • Excited to support Data Science team in developing innovative, data-driven solutions for clients Preferred Requirements • Degree/Major in Computer Science, Statistics, or related field, • 3.3 or higher cumulative and major GPA, • Relevant work experience, including internships, summer positions, or part-time jobs, • Active involvement in university clubs or organizations related to consulting, business, or leadership, showcasing relevant skills and interests Compensation The estimated pay rate for this position is $33 / hr. Please note that this estimated rate is a guideline and individual total compensation may vary due to numerous factors including but not limited to experience level, certifications, and other relevant business considerations. We put humans at the center of our work We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results. But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion. And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine. We've earned aGreat Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault'sTop 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000'sFastest Growing Firms, and Consulting Magazine'sFastest Growing Firms. We are an Equal Employment Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Columbia Business School is seeking one or more predoctoral Staff Associates of research for the Management Division. The work will include quantitative and qualitative research and analysis, collection, coordination and management of information and data, development of research materials (figures, presentations, papers, etc.), and work on special projects relating to pertinent fields of research within the division. All duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics. • Collect, manage, and manipulate data using a variety of tools and sources, including but not limited to Stata and R., • Produce summary statistics and conduct basic statistical analyses, • Writing scripts in python to automate processes and for webscraping, • Experience with Stata and familiarity with statistical analyses, • Since the RA will be working with multiple faculty members/projects, the ideal candidate will be self-motivated and be able to structure assignments and keep faculty member informed as necessary, • Strong time management skills and ability to balance multiple tasks and shifting priorities under tight deadlines at an accelerated pace when necessary., • Attention to detail, strong organizational skills, and absolute commitment to task completion., • Strong written and verbal English skills are essential, • Evidence of outstanding academic achievement, along with prior high-quality academic writing., • Ability to read academic, subject-specific information and write a reasoned and thoughtful analysis, as well as produce a creative interpretation, is a plus., • Preference for a candidate who plans to seek an advanced degree Minimum qualifications: • Bachelor's degree in Engineering, Computer Science, Data or Information Science, or in a quantitative discipline such as Mathematics, Statistics, or Economics with coursework in computer science. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

We are launching a campus-wide initiative to build foundation models that simulate the evolution of tumor ecosystems. You will be the lead engineer contributing to large-scale generative modelling on single-cell, spatial-omics, and clinical data. Core responsibilities * Design, train and deploy multi-modal foundation models for single-cell and spatial cancer data * Build scalable training pipelines in PyTorch/JAX on GPU clusters and cloud HPC/ADK * Implement data-efficient fine-tuning, adaptive learning workflows and agentic frameworks for reasoning Collaborate with machine learning experts and computational biologists to build tools for AI agents e.g. libraries, MCPs and APIs The position is a full-time appointment jointly housed in Columbia's Irving Institute for Cancer Dynamics and The Fu Foundation School of Engineering & Applied Science. You will collaborate daily with a diverse team of AI/ML researchers, computational biologists, clinicians and bioengineers who share a mission of transforming our understanding of cancer progression and improving its treatment through next-generation AI and experimental platforms. Required qualifications * B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field * 6+ years of experience in software engineering * 3+ yrs hands-on experience training generative AI or large-language models at scale * Substantial expertise in training deep learning models and tuning large foundation models. * Expertise with developing efficient data loaders for large datasets and optimizing training workflows. * Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching/transformer architectures * Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks * Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras * M.S. or graduate-level degree in relevant field * Experience with single-cell and spatial genomic or imaging data, and multimodal integration * Expertise in statistical causal discovery and inference * Publications or open-source contributions in generative models * Strong interest in applications and driving impact in cancer biology and immunology Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building:, • Salary Range: 64,350 - 66,300 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting., • Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The successful candidate will work in close collaboration with scientists in the Movement Recovery Laboratory on projects at the intersection of neuroscience and biomedical engineering. An initial goal will be to model neurostimulation recruitment-curve relationships by extending Bayesian recruitment curve methods to paired cortical-spinal stimulation and by building a researcher-friendly GUI around our existing Python library hbMEP. Responsibilities • Developing analysis pipelines for electrophysiological data from rats and humans., • Implementing, developing, and validating hierarchical Bayesian models of motor-evoked potential (MEP) recruitment curves., • Creating interactive visualization and dashboard tools., • Data mining, statistical analysis, and mathematical modelling., • Provides support for use of developed methods., • MSc degree in data science or equivalent qualification., • Development of analysis pipelines (Python preferred)., • Experience with Bayesian Generalized Linear Models (NumPyro, RSTAN preferred)., • Experience with developing visualization of electrophysiological data (e.g. tableu, matlab, matplotlib)., • Experience with git and ability to work collaboratively on software., • Must be able to communicate verbally and in writing in a professional and succinct manner and be open to feedback and collaboration., • Adept at solving problems quickly, efficiently, and independently. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Responsibilities: The Computational Biomarker Imaging Group (CBIG) has an open postdoctoral positions. CBIG's mission is to act as a translational catalyst between computational science and cancer imaging research. Work in our group focuses on developing innovative image analysis, machine learning, AI and data science methodologies for multimodality imaging, and also on incorporating such methods into clinically relevant applications. Most of our work to date has been on breast and lung cancer imaging, while more recently expanding more broadly in oncologic imaging and molecular imaging applications. A priority area is integrating imaging with genomic biomarkers towards integrated precision diagnostics for prevention and therapy for cancer. Applications focusing on radiomics and deep learning are also a priority. We are seeking highly motivated individuals with excellent academic track-record, including first-author publications in peer-reviewed journals. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary research team. Salary range is from $75,000 - $85,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field. Ideal applicants should have a background on biomedical image analysis, computer vision, pattern recognition and/or machine learning. Experience with Bioinformatics is a plus. Proficiency in quantitative analytical methods and computer programming (e.g., Python, C/C ) is essential. Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) and related statistical methods and software packages (e.g., ITK C/C libraries, R/SPSS) is desired (but not necessary). Experience with Deep Learning is also ideal (e.g., TensorFlow, Keras, PyTorch packages, etc.). Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Irving Institute for Cancer Dynamics invites applications for a postdoctoral researcher position to join the theoretical immunology group led by Dr. Rane. The postdoctoral fellow will work directly with Dr. Rane on investigating the dynamics of the immune system in both health and disease. Funds are available for conference travel and professional development. The initial appointment will be for one year and is full-time and benefitted, with potential for renewal for a second year, pending annual review of performance and continued availability of funding. Duties & Responsibilities: • Successful candidates will develop and refine computational, mathematical, and statistical models to understand and explain biological phenomena., • Create algorithms to integrate large and diverse datasets into theoretical frameworks for modeling complex biological systems., • Collaborate closely with leading experts in the fields of experimental immunology and computational biology., • Contribute to the generation of impactful research findings in applied math, statistics, and immunology, with potential applications to areas such as cancer research, cell biology, and ecology., • Present research at meetings and write manuscripts and grants., • Ph.D. in applied mathematics, data science, statistics, computational biology, or a related field., • Proficiency in one or more programming languages, including but not limited to Python, R, C++, Stan, etc., • Excellent written and oral communication skills., • A demonstrated interest in immunology, cancer research, cell biology, or ecology is advantageous, though not mandatory. Minimum Requirements: • Ph.D. in a relevant field., • Programming proficiency., • Ph.D. in applied mathematics, bioinformatics, or computer science, plus prior experience applying these skills to biology or related fields., • Publications that demonstrate expertise in areas related to this project., • Immunology knowledge or the willingness to learn it quickly. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization., • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution., • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication., • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team., • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget., • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility., • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data. You Have: • Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required., • 8+ years experience in technical project management for software development, data science, or AI/ML research projects., • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts., • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning)., • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required., • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Core Qualifications - Deep expertise in data science, machine learning, finance, and/or Python-based coding - **Active or recently graduated PhD (Top U.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Dat

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Dat

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Job Location(s) US-NY-New York Job ID 2026-4168 Position Type Faculty Type Regular Full-Time Category School of Management EMPLOYER: New York Institute of Technology POSITION TITLE: Assistant Professor HOURS / WEEK: 35 JOB SITE LOCATION: 1855 Broadway, New York, NY 10023 New York Institute of Technology seeks an Assistant Professor at its New York, New York campus. This position does not require travel. Applicants should have a strong commitment to excellence in teaching, research, and service. They will be expected to teach courses in all aspects of Management Science, Management Information Systems, and Statistics, at both the undergraduate and graduate levels. Knowledge and ability to teach courses related to risk management is desirable. Applicants should develop a research agenda in conformity with the mission of the School of Management and their domain. They are also expected to provide departmental and community service work for the School of Management and New York Tech. Specific Responsibilities: Teaching: Develop and teach undergraduate and graduate courses in Management Science, Management Information Systems, and Statistics. Employ innovative teaching methods to enhance student learning and engagement. Research: Conduct impactful research in the fields of Management Science and Management Information Systems leading to publications in peer-reviewed business journals. Foster interdisciplinary research opportunities and collaborations within the university and with external partners. Curriculum Development: Contribute to the continuous improvement of the curriculum, incorporating emerging trends and technologies in various areas of Management Science and Management Information Systems. Service: Participate in departmental, college, and university committees. Engage in community outreach and professional development activities that promote the fields of Management Science and Management Information Systems. Ph.D. (or foreign academic equivalent) in Management Science, Information Systems, Data Science, or a closely related field. Experience must include: Experience with statistical analysis software such as STATA, R, SAS, and SPSS. Experience with data analysis tools such as Power BI, Tableau, and Python. OTHER: No RATE OF PAY: $74,500- $148,893.38 / year If offered employment must have legal right to work in U.S.

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35, • Standard Work Schedule: Hybrid Schedule (3 Days On-site) Reporting to the Senior Associate Dean for MSSW Education, the Director of Institutional Research and Evaluation serves as the School's senior analytics leader and a strategic advisor to executive leadership. This role is responsible for advancing a comprehensive institutional research and analytics function that informs academic planning, enrollment strategy, program performance, and accreditation. The position requires a holistic understanding of CSSW operations and plays a critical role in shaping data-informed decision making across the School. Responsibilities • Manage institutional research tools, platforms, and subscriptions; oversees related resources to ensure effective delivery of analytics and assessment services., • Manage and maintain daily interfaces (data integration and report generation) across various School and University systems (e.g., between the University's Student Information System and CSSW's practicum internship management system)., • Translates complex institutional data into clear, actionable insights to guide leadership decisions related to program growth, resource allocation, and student success., • Lead comprehensive institutional research efforts related to the MSSW and doctoral programs, including application, yield, enrollment, retention, time-to-degree, and graduation , with a focus on interpreting findings and recommending improvements., • Provide benchmarking and external market analysis, synthesizing findings into strategic recommendations to maintain competitiveness., • Produce statistical reports as needed on the School's doctoral program, including but not limited to application, acceptance, and enrollment trends; and time to degree and graduation rates., • Oversee the School's learning outcomes assessment processes and program evaluation strategies, including evaluative surveys on courses, advisement, practicum learning, and administrative supports, synthesizing data into actionable insights for program enhancement and continuous improvement., • Lead the School's annual career outcomes data strategy, collaborating with the Director of Career and Leadership Management to identify, analyze and report on career outcomes and employment trends for recent graduates, advising leadership on implications for program design and student support services., • Complete the CSWE annual program survey of the MSSW program's application, enrollment, graduation, and faculty data., • Partner with CSSW leadership to implement the Master of Science program's biennial learning outcomes assessment plan, as required for accreditation by CSWE to ensure students are adequately prepared in the competencies essential to the social work profession., • Provide data and analyses for external reporting, rankings, and institutional submissions, ensuring accuracy while also contextualizing results for leadership and external stakeholders., • Produce, as needed, ad hoc reports and analyses of national trends (e.g., in enrollments) to be used as benchmark data to assure that CSSW keeps pace with other competitive programs., • Consult and train, as needed, School staff on survey design, data interpretation, and research software., • Oversee the ongoing automation of subscriptions to the School's LISTSERV email lists for official communications with students., • Administer annual faculty elections for the School's various faculty committees., • Supervise the Assistant Director of Institutional Research and Evaluation, who provides support with all of the above tasks., • Bachelor's degree required, • Minimum 5 years of progressively responsible experience (institutional research, data analysis, or assessment), • Advanced proficiency and comfort with SQL-based relational database design, query, and analysis (e.g., SQL, R, Python, SPSS), • Familiarity with statistical analysis tools (R, SPSS), • Demonstrated experience with survey platforms (e.g., Qualtrics), • Experience developing and delivering analytics, reports, or presentations to senior leadership or executive stakeholders to inform decision-making, • Exceptional communication skills including the ability to present complex data in a clear, concise and strategic manner to non-technical audiences, • Master's degree in a related field (data, information, or systems management), • Demonstrated experience with data visualization tools (e.g., Tableau, Power BI), • Engagement in professional institutional research and higher education associations and awareness of emerging trends in technology and higher education, • Experience in social work education or related professional schools with licensure or accreditation requirements, • Familiarity with generative AI and its integration into workflow processes Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Job Description Job Title: Coding Teacher (Part Time) General Responsibilities: Under the supervision of the Director of Educational Development, plans and facilitates collaborative coding instructional sessions using a variety of coding languages, robotics, tools, and applications. Major Duties: • Meets regularly with the Director of Educational Development, • Plans and facilitates learning sessions, • Assists students in the development of computer science and coding skills, • Maintains consistent communication the Director of Educational Development, • Models appropriate academic and social behaviors, • Ability to work with students of diverse ethnic backgrounds, academic profiles, and skill levels., • Possess good interpersonal and organizational skills., • Must demonstrate responsibility, a desire to help others, discretion, and flexibility., • Knowledge and ability to instruct students in coding languages such as Scratch, Blockly, Swift, and Python., • Ability to instruct students on how to control a robot (Ozobot, Sphero, drones, etc) using coding languages., • Ability to collect and analyze data to drive future instruction., • Ability to work independently applying critical thinking skills and problem solving to various situations., • Must be able to instruct students of varying skill and experience levels in multiple programs based on interest and ability. Qualifications: Must possess a bachelor's degree, teaching and/or tutoring experience, and have extensive computer science and/or coding experience.