Scientist jobs in North Hempstead, NY - 1,520 jobs

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

New York or San Francisco Who we are: Our name is inspired by Theodore Roosevelt's ‘Citizenship in a Republic' speech, which pays homage to the ‘(hu)man in the Arena'. To us, entering the Arena means committing oneself fully and accepting the risk of failure in the pursuit of an audacious, worthy cause. We're a close-knit team of scientists and builders redefining the future of hardware engineering. If you share our passion for delving deep into real-world problems and solving them with fully autonomous AI, join us in the Arena. What we do: Our collective future is being built in the physical world, but the builders of tomorrow's technology can no longer rely on yesterday's tools. At Arena, we're building the world's first AI industrial engineer designed to solve the most complex hardware and manufacturing challenges. Our product, Atlas, is built with an understanding of the behavior of physical systems, powered by a superior knowledge of core domains of physics. Paired with its ability to reason about multimodal industrial data, Atlas can test, debug, optimize, and repair physical systems and products in the real world. Arena is already trusted by some of the most advanced industrial companies in the world (AMD, Bausch & Lomb), and we\u2019re rapidly already scaling into the defense, automotive, and aerospace industries, and we're just getting started. About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. How you will contribute: Design FNO/AFNO/Deformation-FNO/U-FNO multiscale operator architectures with embedded physical constraints Implement causality/passivity enforcement and uncertainty calibration Proprietary Training Data Corpora Specify coverage targets Work with Arena's Platform Engineering team to orchestrate solver farms and synthetic generation Work with Arena Electrical Engineers to define a set of requirements and interface for physically-generated training data via hardware-in-the-loop test campaigns Develop sim-to-real calibration using for example VNA/near-field/BER measurements Evaluation & Validation Build automated accuracy and constraint eval suite Own releases and reporting Optimization & Performance Profile inference latency and throughput Leadership & Documentation Author design docs, experiments, and technical reports Qualifications You have: PhD or equivalent research track in Electrical Engineering, Applied Physics, Computer Science, or Applied Math Proven expertise building and training large foundation models Experience with FNO and/or Neural Operators Understanding of EM solvers (FEM/FDTD/MoM) Strong Python, PyTorch/JAX, C/C++ for bindings Proven record of physics-constrained ML or scientific simulation deployment [Preferred] Prior work on passivity/causality enforcement in learned models [Preferred] Familiar with PDN, high-speed channel design, and EMI compliance testing [Preferred] Experience and familiarity with high performance principles (e.g. Slurm for scheduling, message passing workloads, etc.), and cloud service provider HPC ecosystems (e.g. AWS Batch, Elastic Fabric Adapter, etc.) 100% of the monthly premium for Aetna medical insurance, plus vision and dental coverage 401(k) Retirement Plan Unlimited PTO Lunch every day from local restaurants via Sharebite Relocation support provided (NYC or SF) Benefits Salary: The base salary range for this position is $250,000 - $350,000 yr. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Additional benefits: relocation support, health insurance options, and retirement plan offerings as listed above. #J-18808-Ljbffr

Job Title: Product Development Specialist Starting: 10/20/2025 Pay Comments: Minimum Pay (per hour): 55.00 Maximum Pay (per hour): 65.95 Duration: 6 months (may extend) Job Description: Responsibilities: The Product Development Scientist will: Be responsible for identifying technical solutions and delivering product formulation and scale up needs for the innovation and renovation project portfolio. Partner with Marketing to leverage and translate sensory and consumer insights into products from concept to launch. Lead overall product development initiatives from bench top formulation to scale up. Support associated industrialization trials in close collaboration with Quality. Represent the R&D team as subject matter expert for product development and product knowledge transfer to the factories. Collaborate internally and externally to build strong relationships to continuously improve technical capabilities and facilitate agile project management. Work closely with procurement team to ensure new suppliers/ingredients are qualified for use in current/future formulations. Qualifications: • Bachelor's degree required in Food Science, food engineering or related field • Minimum 7-10 years of relevant work experience in product development, process scale up, quality, or manufacturing in CPG setting (Beverage development highly preferred) • Strong project management experience with the ability to manage multiple projects concurrently and in matrix environments • Demonstrated competency in managing complexity and ambiguity • Communicates in a timely, concise, and effective manner, both written and verbally. • Strong interpersonal and leadership skills. Ability to effectively interface at all levels, with strong ability to influence with integrity, especially across functions. • Ability to facilitate meetings, conference calls and present effectively to groups at all levels • Strong computer skills, including the use of Microsoft Word, Excel, Project, and PowerPoint as well as SAP • Understanding of financials (COGs, basic P&L understanding) • Six Sigma Certification, GSTD/DMAIC, FI experience a plus. • Ability to travel, approximately 15% throughout the year. Key responsibilities for this position include, but are not limited to: • Lead consumer-focused new product/formula development projects for all domestic brands (Pure Life, Saratoga, Mountain Valley, Splash Refreshers Still & Sparkling, Poland Springs, Deer Park, Zephyrhills, Ozarka, Ice Mountain, Sparklettes, and Arrowhead). • Set and manage product development project plans and facilitate execution to ensure projects are completed on time and within budget • Hands on benchtop beverage development, scale up and industrialization • Collaborate cross-functionally with Marketing, Quality, Engineering, Purchasing, Regulatory and Legal while leveraging external resources from ingredient suppliers, co-manufacturers and other 3rd party resources to deliver project results and innovative new product formulations. • Lead the qualification of 3rd party flavor houses, develop RFP/Briefs for new flavor/ingredient opportunities. • Lead ingredient, product recipe and specification development deliverables through industrialization phase • Manage technical direction of projects; identify /communicate key deliverables and next steps. • Manage complex business relationships with ingredient, process technology partner companies, contract developers and manufacturers, consultants, vendors, cross-functional departments, and outside experts in support of achieving consumer needs and effective project execution. • Effectively prioritize and manage multiple projects concurrently varying in length. • Utilize the Primo Brands stage gate innovation framework to ensure full compliance with the Quality Management System and adhere to all relevant Primo Brands Technical Instructions for new product development initiatives. • Support on-going operations with recipe/ingredient specification changes and the qualification of new ingredients. The target hiring compensation range for this role is $55.00 to $65.95 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

Coatue Management is a technology-focused investment firm founded in 1999, with offices in New York City, Menlo Park, Los Angeles, Hong Kong and London. We manage $50+ billion in assets on behalf of individuals, nonprofit organizations and institutional investors. Building on our heritage of public markets investing, Coatue's lifecycle investment platform has expanded across venture, growth, thematic, and structured capital strategies over the last decade. Our singular obsession with technology drives how we work as a firm. As investors, we seek out the greatest innovators with the biggest ideas. We are a founder-led firm dedicated to helping fellow founders build. At every stage, we champion the insights, connections, and experience that create world-shaping companies. Data Science Team Coatue's data science team works directly with the investment professionals on a daily basis and is integral in all current and future investments across the firm. Our goal is to track every component of the economy in real-time. This encompasses projects such as: Forecasting entries on a company's income statement via real-time alternative datasets Tracking the launch of a new product and its impact on that company versus its competitors Analyzing and decomposing stock market performance of various securities in different scenarios Quantitatively screening for emerging venture-backed companies Building shared tooling to improve the team's day-to-day workflow Job Description The data scientist role uses SQL, R, and data visualization to inform investment decisions. This role is based in our New York City office. This is a generalist role that works across sectors, company stages, and datasets. The ideal candidate is simultaneously very technical and a strong communicator, is eager to take on responsibility quickly, and can juggle multiple priorities. Key skills include: Proficient programming abilities, particularly with a dataframe-based library (data.table, dplyr, pandas) Analysis and interpretation of data Strong communication skills, needed to translate between technical projects and business stakeholders Ability to manage multiple workstreams simultaneously Minimum Requirements Requires a bachelor's degree in a quantitative field (e.g. computer science, statistics, mathematics, economics) or a closely related field, or equivalent professional experience. Key skills include: Proficient programming abilities, particularly with a dataframe-based library (data.table, dplyr, pandas) Analysis and interpretation of data Strong communication skills, needed to translate between technical projects and business stakeholders Ability to manage multiple workstreams simultaneously

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems. Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team. Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs. Develop and integrate components for creating an operational information and knowledge discovery system. Requirements Bachelor's degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management. Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment. Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. Ability to successfully handle multiple time-sensitive projects across several disciplines. Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

About the job Experienced Data Scientist Our client is looking for a highly skilled individual with a background in experimentation and causal inference to join their team. The role involves developing advanced data science solutions using machine learning and artificial intelligence to drive innovation across various business areas and products. Collaboration with senior executives on impactful AI/ML projects to enhance risk management and overall financial performance is a key aspect of this position. Successful candidates will bring expertise in relevant industries, a passion for applying cutting-edge ML and AI techniques, and the ability to design and implement data science solutions that promote growth, competitive advantage, and customer satisfaction. Qualifications: A PhD with 2+ years of experience or a Master's degree with 4+ years of experience in fields such as Statistics, Computer Science, Engineering, Applied mathematics, or related disciplines. Hands-on experience of at least 3 years in ML modeling and development. Strong theoretical understanding of probability and statistics, as well as expertise in causal inference techniques. Proven ability to formulate hypotheses for assessing consumer behavior, design, execute, and deploy experiments. Proficiency in Python programming, with skills in PyTorch and/or Tensorflow. A solid background in algorithms and familiarity with various ML models. Exceptional communication skills and the capacity to collaborate effectively across different teams, including Product, Engineering, and other functional areas, at both leadership and hands-on levels. Strong analytical and problem-solving capabilities with acute attention to detail. Demonstrated leadership in providing technical guidance and mentoring to data scientists, along with effective management skills for tracking and monitoring performance to ensure success within the organization. Locations: Northeastern USA - Hybrid/Remote (2-3 days per/week)

About Agentio Agentio enables marketers to buy creator led ads as easily and scalably as Meta or Google ads-automating sourcing, pricing, contracting, delivery, and measurement with AI-so work that took months now happens in minutes. We're on a mission to transform a $800B digital ad ecosystem by shifting digital ad spend into the hands of creators. That means better outcomes for marketers and enabling creators to live off their work-finally being paid in proportion to the value they create. That shift is accelerating: Unilever's CEO has said the company will move roughly half of its ad budget into social and creators-Unilever is among the world's largest advertisers, spending around $9-10B annually. As these dollars move, they need performance-grade pipes; Agentio is how those dollars flow to creators with the speed, control, and measurement marketers expect. We enable brands like Uber, DoorDash, and Bombas to run creator campaigns with the same rigor, control, and accountability as their core performance channels. Agentio has raised $56M to date at a $340M valuation, including a recent Series B led by Forerunner, which followed our Series A within a calendar year. Our investors also include Benchmark, Craft, and AlleyCorp. Agentio has been named to Forbes' Next Billion Dollar Startups, 2025, and our platform is already used and loved by the world's leading marketers and creators. We are just getting started! Data is Our Growth Engine Our platform routes budgets to the right creators, at the right price, with clear attribution. We ingest rich first-party signals across creative briefs, audiences, content, and outcomes; link them to conversions; and train LLM-driven ranking and pricing models that guide every step-from discovery and acceptance likelihood to pacing and scale. Each campaign feeds back new data, creating a compounding learning loop that makes matching, forecasting, and measurement more efficient with every use. We're expanding our data practice and hiring foundational teammates. Whether you analyze behavior, model outcomes, run experiments, or build robust data and ML tooling, you'll have an immediate impact-shaping product decisions, improving measurement, and delivering the pipelines and services that power the platform. At Agentio, data drives decisions-what we build, how we price, and where we scale-so creators and brands win together. If you're curious, collaborative, and excited to own outcomes in a fast-moving environment, let's talk. You Nimble, hungry, humble, and adaptive to change Excited to learn and grow in a fast-paced environment Proven track record of applying analytical/statistical methods to tackle real-world problems using big data. A true problem-solver and self-starter, with incredible ambition and drive Competitive and highly motivated to exceed expectations Ready to roll up your sleeves, get things done, and work harder than you've likely ever worked before - with far greater reward A positive, honest, empathetic, and curious teammate You understand that Agentio is building in-person, and is in-office 5 days/week What You'll Get The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work. Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs. The chance to work with an exceptional team and help build our engineering culture A collaborative, transparent, and engaging work environment. Benefits & Perks Flexible PTO - Take the time you need to recharge Comprehensive Health Coverage - Top medical plan through Aetna Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian 401(k) Retirement Plan - Invest in your future while you build your career $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners Free Lunch 3x a week! - We order lunch as a team on Mondays, Wednesdays, and Fridays Gym in the building! - Your workout, right downstairs The estimated base compensation for this role is between $225,000 & $350,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for equity and competitive benefits.

AirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality. Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts. AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo. About the Role As Lead Data Scientist at AirOps, you'll shape how brands win in AI-driven search environments through advanced machine learning and data science. This role combines technical depth with strategic thinking: you'll build production-grade ML systems that directly impact how companies create and optimize content for AI agents and improve their search visibility. You'll work at the intersection of NLP, search algorithms, and large language models to create solutions that help content teams drive measurable business results. This is a hands-on leadership position where you'll both architect systems and write code. You'll partner with product, engineering, and customer success teams to identify opportunities where ML can transform our platform's capabilities. Your work will directly influence how thousands of brands adapt to the rapidly changing search landscape where AI shapes discovery and engagement. Key Responsibilities Technical Leadership: Design and deploy end-to-end machine learning systems including NLP models, search and recommendation algorithms, and LLM-based applications. Search and Content Intelligence: Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance across different AI-driven platforms. Create algorithms that help brands understand and optimize for how AI agents discover and rank content. Cross-functional Partnership: Collaborate with product managers to translate business requirements into technical solutions. Qualifications 5+ years building production machine learning systems with demonstrated business impact; strong background in NLP and search/recommendation systems required Deep expertise across ML approaches: classical models (XGBoost, random forests), modern deep learning architectures (transformers, graph neural networks), and reinforcement learning systems Proven ability to take models from research to production, including optimization for latency and cost at scale Experience with ML infrastructure and tooling: model serving frameworks, experiment tracking, feature stores, and monitoring systems Track record of technical leadership: influencing architecture decisions, improving team practices, and driving cross-functional projects without direct authority Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders and align ML initiatives with business outcomes Our Guiding Principles Extreme Ownership Quality Curiosity and Play Make Our Customers Heroes Respectful Candor Benefits Equity in a fast-growing startup Competitive benefits package tailored to your location Flexible time off policy Parental Leave A fun-loving and (just a bit) nerdy team that loves to move fast!

As a Data Scientist focusing on AI Engineering at Candidly, you will primarily work on designing, developing, and deploying AI agents that enhance our financial wellness platform and serve our clients. You will partner closely with the product and engineering teams to create products and features that leverage Generative AI to enhance the user experience and improve engagement. You will contribute to projects ranging from designing and developing new AI agents, enhancing our existing agents in production, including evaluations, and contributing to Candidly's AI platform as a backend engineer. What You'll Do Agent Development: Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns. Agent Evaluation and Tuning: Design evaluation strategies and metrics for assessing the efficacy of AI agents as well as identifying common failure modes. Ensure AI agents and systems are reliable and provide a good user experience. AI Platform Development: Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines. Research & Innovation: Stay on the cutting edge of advancements in Generative AI space and evaluate new techniques for application within the Candidly AI platform. Stakeholder Collaboration: Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features. Data Storytelling: Present findings and insights in a compelling way to both technical and non-technical audiences, contributing to strategic decision-making. What We're Looking For Experience: 2-5 years of experience in a data science, data engineer, machine learning engineer, or backend engineer role. Technical Skills: Strong programming skills in Python and proficiency with libraries such as LangGraph, PyTorch, FastAPI, SQLAlchemy, Pandas + Numpy. Strong understanding of agentic systems, AI agent design patterns, and best practices for evaluating AI agents. Including, but not limited to, multi-agent systems and parallelized agentic workflows. Hands on experience with foundational model APIs (OpenAI / Anthropic / Gemini) and at least one AI Agent framework (LangGraph / CrewAI / Pydantic AI). Hands on experience with database systems especially in regard to vector databases and Retrieval Augmented Generation (RAG) approaches. Previous experience working in a production environment and deploying code to production for example machine learning models, data pipelines, or AI agents. Intermediate level data and analytical skills, with at least some familiarity of SQL and data visualization. Familiarity with software development practices and tools, such as code reviews, GitHub / GitLab, and Jira. Familiarity with backend systems with a focus on serving Generative AI applications. Basic knowledge of web systems with a focus on understanding how AI agents operate within both a web backend and frontend. Basic knowledge of cloud platforms (AWS). Soft Skills: Strong communication skills and ability to explain complex concepts to non-technical stakeholders. High adaptability and comfort working in a dynamic, fast-paced startup environment. Proactive, with a passion for building impactful solutions that address real-world challenges. A love of experimenting and working with new tools and technologies Preferred Qualifications Experience in FinTech, financial services, or consumer lending domains. Strong enough technical ability to own and deploy projects end to end. Previous experience deploying and evaluating AI agents in a production setting.

Product Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You'll Love Working at Bask Health Discover actionable insights Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making. Drive meaningful change Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy. Work with advanced tools Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement. Join us and play a pivotal role in shaping innovative solutions that transform telehealth, empower patients, and redefine the future of healthcare. Requirements Educational Background Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degrees (e.g., Master's or PhD) in relevant disciplines are a plus. Experience 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights. Experience working with cross-functional teams, including product managers, engineers, and designers. Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory. Technical Skills Experts in programming languages such as Python & SQL for data manipulation and analysis. Strong experience with data visualization tools (e.g., Tableau, Looker, or similar). Experience with Alteryx (1+ Year) Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation. Experience with A/B testing and designing experiments. Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus. Analytical Skills Ability to extract actionable insights from complex datasets. Strong problem-solving skills and a keen sense of curiosity. Experience applying machine learning techniques is a plus. Soft Skills Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders. Strong project management skills, with the ability to prioritize tasks and meet deadlines. Collaborative and proactive mindset.

A leading educational institution in New York is seeking a highly motivated Postdoctoral Researcher to contribute to advanced research in Experimental Solid Mechanics. The successful candidate will investigate material behavior under dynamic loading conditions and utilize advanced experimental techniques. A Ph.D. in relevant fields is preferred, along with strong problem-solving and communication skills. This role offers an exciting opportunity for collaboration in multidisciplinary teams. #J-18808-Ljbffr

The Staff Scientist will prepare grant applications and other scientific communication materials on a wide range of genomic research topics. This role is deeply immersed in the science of NYGC and supports our research team in building and expanding a successful, independently-funded research base. They collaborate with diverse teams of students, postdoctoral fellows, and principal investigators, and relates scientific and strategic goals to individual grant opportunities and other research communications vehicles. Typical grants include individual investigator, multi-PI and research center grants. Key Responsibilities Takes a lead role in preparation and project management of individual and multi-investigator proposals; Provides advice on grantsmanship, editorial support and standardized language for administrative sections; Identifies opportunities for funding Manages the scientific writing process, including proposal management, team-building and coordination; establishing timelines and deliverables; Provides draft preparation, review and revision of grants and scientific writing. Coordinates with and supports Sponsored Research staff to ensure timely, accurate application submission. Edits manuscripts, fellowship applications, research progress reports, clinical research protocols and other research communications materials. Interacts with lab members to independently develop new grant proposals. Organizes small group meetings with lab members to review project progress, plan experiments, and integrate team data. Assists in the design and planning of functional genomics and genetic perturbation experiments; and, Assists in analysis and figure preparation of diverse types of data, including high-throughput sequencing, microscopy images, gel images, and schematic diagrams. Key Responsibilities include (but are not limited to): PhD in genetics, genomics, cancer biology, neuroscience or related discipline required; 5+ years research experience, including contributing to grant writing, required. NIH experience strongly desirable; Exceptional written communication skills required to prepare and edit competitive grant applications, publications, administrative materials, and other research communications; Ability to grasp complicated technical subjects, synthesize diverse lines of evidence and apply these abilities to technical writing required; Experience handling the scientific writing and project management process for multi-investigator and institutional grant applications strongly preferred; Experience with standard grant development concepts, practices, and procedures in a research environment preferred; Applied statistics background required, to perform power calculations and develop quantitative metrics for genomic assays; Ability to collaborate with diverse teams of investigators and administrative personnel required; and, Strong project management skills and experience required. 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. Salary The salary range for this position is $62,000-78,000 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. 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 the leading academic medical centers and research universities in the New York region, 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.

New York, New York;Charlotte, North Carolina **To proceed with your application, you must be at least 18 years of age.** Acknowledge Refer a friend **To proceed with your application, you must be at least 18 years of age.** Acknowledge (************************************************************************************* **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! **The Data and AI team within Global Payment Solutions (GPS) at Bank of America** is looking for a highly technical Research Engineerthat is a self-starter who can translate complex concepts and generate actionable insights. **Who we are:** The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with "think tank" sessions with business teams that is later translated to tangible solutions and products. **Representative Projects:** + Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients + Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions + Develop AI models that shift foreign currency conversion "up the payment stream," reducing reliability on beneficiary banks + Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality **Who we're looking for:** As aResearch Engineeron the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve. If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. **Responsibilities:** + Frame abstract business problems using advanced data science and machine learning algorithms + Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions + Own critical research and application development, strengthening the firm's competitive advantage + Shape cross-team collaboration to advance the firm's data science capabilities **Required Skills:** + Minimum Bachelor's degree in a quantitative field such as computer science, math, statistics, and physics + Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++) + Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI) + Prior experience working in a highly technical data driven research environment + Ability to communicate complex topics in a concise and coherent manner **Desired Skills:** + Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics + Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning + Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever + Are excited to dive into new technical areas on a regular basis **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your **"Know your Rights (************************************************************************************** "** poster. **View the LA County Fair Chance Ordinance (************************************************************************************************** .** Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work. This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

The American Museum of Natural History is one of the world's preeminent scientific and cultural institutions, and has as its mission to discover, interpret and disseminate information about human cultures, the natural world and the universe through a wide-ranging program of scientific research, education and exhibition. The Barber Sensory Ecology Lab at the American Museum of Natural History (AMNH) seeks a Postdoctoral Research Associate to 1) analyze and publish existing diverse data sets on the consequences of intense anthropogenic (e.g., noise and light pollution) and natural (e.g., whitewater river noise) sensory environments for birds, bats, and insects; 2) collaborate on experimental design, data collection, and analysis efforts on bat-insect interactions under different light pollution regimes at the Southwestern Research Station in Portal, AZ; and 3) design and implement projects on existing large-scale data sets (including museum specimens) on the effects of sensory pollution on animal distributions. Job responsibilities include, but are not limited to: Analyze data sets and prepare data, code, and related materials for publication. Prepare manuscripts for publication including figure preparation, coauthor communication, and managing manuscripts through the journal submission process. Coordinate and perform new data collection including travel to the southwestern research station in Portal AZ. Mentor other lab members in statistical analysis and manuscript preparation. The expected salary for the Postdoctoral Research Associate is $71,181/annual. The AMNH offers an extensive benefits package designed to meet the needs of our dedicated and diverse community. Pay will be determined based on several factors. The hiring range for the position at commencement is based on the type of work and the scope of responsibilities. The salary and placement offered is based on a number of individualized factors, including, but not limited to, skills, knowledge, training, education, credentials, areas of specialization and depth and scope of experience.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. You will: Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments). Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution. Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes. Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally. Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent. Stay deeply connected to the research community, understanding major trends, and helping set them. Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results. Ideally you'd have: 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains. A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.). Experience and track of recording in landing major research impacts in a fast-paced environment Experience leading or managing research teams. You're excited to mentor, coach and develop talent. Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. 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:$239,400-$299,300 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 Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Research Associate Type: Full-Time Salary Range: $60k to 64k/PA base + uncapped monthly bonus Our client a fast-growing global research and consulting firm that connects leading financial institutions, consulting firms, healthcare Firms, and corporations with industry experts to support strategic decision-making. The team specializes in facilitating expert interviews, surveys, and insights across a wide range of industries and markets. Why Join This is an exciting opportunity to kickstart your career in research, business development, and client engagement. As a Research Associate, you'll help top-tier clients-like investment funds and consulting firms-gain insights by identifying and connecting them with subject matter experts across industries. You'll gain exposure to a wide variety of sectors, from eCommerce to energy, healthcare to finance, all while building your business acumen, communication skills, and strategic thinking. Responsibilities: Own end-to-end execution of multiple client research projects simultaneously Analyze client briefs to understand research objectives and key pain points Conduct high-level industry research to identify relevant expert profiles Source, screen, and recruit industry experts (C-suite, senior executives, specialists) Develop screening questions and qualification criteria for expert selection Communicate directly with hedge funds, private equity firms, and consulting clients Negotiate expert consultation rates independently Coordinate scheduling, onboarding, and delivery of expert consultations Manage international and cross-office projects with senior stakeholders Build long-term expert relationships and internal knowledge bases Qualifications Graduated in Spring/Summer 2025 or Dec 2025 with a Bachelor's degree (minimum 3.3 GPA preferred) 6-12 months of work or internship experience in a fast-paced, client-facing or research-oriented environment Excellent verbal and written communication skills Strong research, organizational, and time-management skills Team-oriented with the ability to work independently under tight deadlines Entrepreneurial mindset with a desire to learn and grow Leadership experience through internships, student organizations, or part-time work Fluency in English (other languages are a plus) Comfortable speaking with senior-level professionals and building rapport quickly Ideal Candidate Profile Smart, curious, and commercially minded Comfortable with ambiguity and fast turnaround times Competitive but collaborative Coachable and receptive to feedback Confident, polished, and professional Who Succeeds in This Role? Someone who is curious, solutions-driven, confident, and professional. You'll thrive if you're a natural communicator, quick learner, and team player who enjoys connecting people and solving business problems.

Quality Control Chemist II At Country Life, we inspire greatness through our wholistic approach of supplement and personal care products. Our team of experts, innovators and dreamers is dedicated to bringing the power of nature and the promise of science to people at every life stage. Join our Hauppauge, NY team and share our passion for natural health and pride in our company's commitment to excellence and quality! Position Summary: Testing pharmaceuticals, vitamins and herbal products using HPLC, ICP, FTIT, NIR, UV-VIS and wet chemistry per USP, AOAC, FCC, BP (British Pharmacopeia) and internal procedures. Properly disposes of waste chemicals based on OSHA requirements. Position Scope: Handles approximately 15 - 35 analytical tests per week Position Responsibility: Works with lab instruments, e.g. HPLC, AA, PDA, RI detection methods, ICP and ICP-MS to perform analytical tests. Also works with chemicals and reagent solvents during the day. Records the raw data and results from scientific test results. Reports any lab instruments malfunction to Lab Manager. Prepares and files all Quality Control documents, e.g. Certificate of Analysis (COA) Deviations, Out of Specification (OOS) reports. Reviews testing and notebooks to prepare bulk product release. Conducts daily calibration of balances and Ph meter. Calibrates an expiration date for all product labels based on shelf life expectancy. Disposes of waste chemicals appropriately. Checks raw materials and finished product potencies. Proper disposal of expired raw materials, in-process and finished goods (final batches). Coordinates such activities with Safety Manager. Prepares samples for shipment to outside testing laboratory. Assists in the inventory of supplies and upkeep of laboratory and laboratory machinery. Preparation of purchase orders, receipt of supplies, and interfacing with other departments to expedite these functions. Chemist II: in additional to the above Qualification and maintenance of primary and secondary standards of raw material and finished products. Maintains R&D raw material inventory, laboratory notebooks, equipment logs and maintenance schedules. Prepares specification for raw materials and finished products. Conducts in process testing of manufactured samples. Conducts minor repairs of lab instruments and other apparatus. Supports the preparation, manufacture, evaluation and documentation of new or modified R&D in-process and finished products associated with Country Life formulations, e.g., tablets, capsules and powders. Writes detailed scientific instructions and lab procedures. Senior Chemist: in additional to the above Develops analytical methods and validations. Analyses, records and releases raw materials and conducts maintenance of raw material specifications. Maintains lab chemicals for consistency to standards (e.g. USP, GLP and OSHA). Performs analytical troubleshooting and updates SOPs, log books and lab solutions preparation book. Provides guidance and training for Chemists I and II. General Clean working space, desk, equipment/glassware and whole lab. Must wear Personal Protective Equipment (PPE) at all times as stipulated by SOPs. e.g. respirator, ear plugs, hair net, beard cover and lab coat. Lifting up to 20 lbs. may be required. Position requires considerable standing on lab floor. Maintains professional and technical knowledge by attending educational symposia; reviewing professional publications; establishing personal networks; participating in professional societies, etc. Satisfactory completion of appropriate corporate training as related to the position and/or department. Assures compliance by following Food and Drug Administration's Good Manufacturing Practices (FDA cGMPs / GLPs) as well as other regulatory standards as required by the department. Contributes to overall achievement by accomplishing related tasks and demonstrating characteristics that exemplify team building and support. The above is not intended to be an all-inclusive list of responsibilities. Other activities may be assigned as required by management. QUALIFICATIONS Experience and Skills: Chemist I will have one year Pharmaceutical laboratory or related experience as well as good mechanical aptitude. Training on specific laboratory equipment and instruments is preferred and may be provided if no work experience outside of classroom laboratory Chemist II will have three years of Pharmaceutical lab experience and good familiarity with HPLC, ICP and ICP-MS as well as good mechanical aptitude. Senior Chemist will have five years Pharmaceutical lab experience and strong experience with HPLC, ICP and ICP-MS as well as good mechanical aptitude. Good organizational skills. Good interpersonal skills. Excellent knowledge of PC software, MS Office, Word, Excel. Good written and verbal communication skills. Excellent Chemistry background as well as practical application of the technical knowledge. Excellent understanding and attitude towards cGMP and GLP, which will increase with job level. Education and Certifications: Undergraduate degree in Chemistry required for Chemist I and Chemist II positions. Masters of Chemistry, or equivalent, is preferred for Senior

About the job Lead Data Scientist (AI/ML/NLP) Our client is in search of a talented Lead Data Scientist to play a pivotal role in reshaping their approach to data-driven decision-making and innovation. In this role, you will collaborate with cross-functional teams to develop cutting-edge data science solutions using machine learning and artificial intelligence. Your contributions will drive enterprise-wide innovation, enhance risk management, and improve overall financial performance. Qualifications: Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics, or related field. PhD with 6+ years of experience or Master's degree with 8+ years of experience, preferred. 7+ years of hands-on ML modeling/development experience. Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP). Hands-on experience with GPU, distributed computing, and applying parallelism to ML solutions. Strong programming skills in Python including PyTorch and/or Tensorflow. Solid background in algorithms and a range of ML models. Experience leading teams of four or more Data Scientists. Excellent communication skills and the ability to collaborate cross-functionally with Product, Engineering, and other disciplines at both leadership and hands-on levels. Excellent analytical and problem-solving abilities with superb attention to detail. Proven leadership in providing technical guidance and mentoring to data scientists, with strong management skills to ensure enterprise success. Locations: Northeastern USA - Hybrid/Remote (2-3 days per/week)

The Department of Civil Engineering and Engineering Mechanics at Columbia University is seeking a highly motivated and skilled Postdoctoral Researcher to join our team in Experimental Solid Mechanics . This is an exciting opportunity to contribute to cutting‑edge research aimed at advancing our understanding of material behavior in extreme environments experimentally, in collaboration with the computational mechanics group. The successful candidate will be involved in an experimental effort to investigate the mechanics of materials subjected to dynamic loading. The research will involve the use of advanced experimental techniques, such as digital image correlation, Hopkinson bar, and analytical tools to gain insights into the behavior of materials under various loading conditions. We are looking for a candidate with the following qualifications: Solid Mechanics Background : A strong foundation in the principles of solid mechanics, including material behavior, deformation, and failure. Experimental Techniques : Hands‑on experience with experimental methods and equipment relevant to solid mechanics testing (e.g., mechanical testing systems, strain measurement, high‑speed imaging, digital image correlation). Problem‑Solving and Analytical Skills : Ability to independently identify, troubleshoot, and solve complex experimental and analytical problems. Communication Skills : Strong written and verbal communication skills, able to present research findings to both technical and non‑technical audiences. Collaboration Skills : Proven ability to work effectively in multidisciplinary research teams Preferred Qualifications Ph.D. in Mechanical Engineering, Civil Engineering, Materials Science, or a related field. Demonstrated publication record in relevant areas of research. Experience with custom experimental setup development and instrumentation is a plus. Interested applicants should submit the following documents: A cover letter detailing research experience and interests Curriculum vitae (CV) Contact information for at least two academic references Relevant publications (optional) 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. #J-18808-Ljbffr