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

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Principal Scientist, Clinical Science Summit, New Jersey ( Hybrid ) Full Time What you will do The Principal Scientist, Clinical Science plays a key role in shaping and delivering the global clinical strategy for new product innovations and claim upgrades, supporting study design, execution, data interpretation, and scientific storytelling. This role serves as the clinical subject matter expert on cross‑functional and global teams, ensuring clinical evidence is robust, relevant, and supports meaningful consumer and healthcare professional claims. The Principal Scientist partners closely with internal teams and external investigators to ensure studies are conducted with scientific rigor, regulatory compliance, and adherence to Good Clinical Practice. The position also contributes to claims development, publications, and scientific communications, while actively supporting Kenvue’s Human‑Centered Innovation mindset. Key Responsibilities • Serve as a member of Translational Science Clinical Science teams dedicated to the development and/or deployment of the global clinical strategy for new product or claim upgrade innovation projects, including the design, analysis and interpretation of clinical studies to meet desired claims and communication messages for each innovation project., • Play a clinical subject matter expert role in understanding the relevant science to provide contributions, translations and/or make recommendations to strengthen clinical-based claims and or science storytelling to cross-functional and global project teams within R&D, including novel clinical designs, endpoints and methodologies., • Serve as Clinical Study Director and fulfill all associated responsibilities for clinical studies partnering with internal clinical operations team and external clinical research service providers and/or HCP KOLs principal investigators, including adherence to internal policies and procedures and external regulatory requirements ensuring good clinical practice conduct., • Participate on global, cross functional teams for evaluation of new product ideas and project implementation, providing active scientific contributions and ensuring clinical timeline adherence to overall project timeline., • Contribute to and translate scientific and clinical knowledge and data for consumer-facing and healthcare professional message development, scientific posters and publications., • Actively participate in the Kenvue Human Centered Innovation mindset, contributing as the Clinical Subject Matter Expert in the claims process and claims system. What We Are Looking For Required Qualifications • Required Education: Bachelor's degree with at least 5 years or Master’s/PharmD/PhD degree with 3+ years of Consumer/OTC/pharmaceutical (or equivalent) industry and/or relevant clinical work experience., • Ensure all clinical activities are conducted in accordance with high ethical and quality standards, as well as all applicable policies and procedures., • Ability to collaborate, influence, manage routine processes, consider measured risks, and make decisions to drive project progress are critical components of the role., • Must be able to work independently, think analytically, manage multiple complex tasks and projects, while also being highly detail oriented and organized., • The ability to work in a matrix environment with cross-functional teams and have excellent verbal and written communication skills is essential.

Senior Scientist Product Development Summit, New Jersey Full Time What you will do We are seeking a motivated and experienced Senior Scientist to join Self-Care Product Development team. Reporting directly to a Manager in the Product Development team, this role focuses on supporting the development and optimization of consumer health products, with an emphasis on over-the-counter (OTC) medications and supplements. The Senior Scientist will play a critical role in ensuring product efficacy, safety, and compliance with regulatory standards. The ideal candidate will have a strong background in formulation science, process development, and experience in GxP (e.g. GDP, GMP, GCP) compliance. Key Responsibilities • Lead consumer centric formulation and development of consumer health products, including OTC medications, dietary supplements, and personal care items, ensuring they meet quality and efficacy standards., • Exercise considerable latitude in determining technical objectives and in selecting techniques and evaluation criteria for obtaining resolution to complex and dynamic problems in consultation with manager., • Identify and resolve technical challenges in product and process development, utilizing sound scientific principles and experimental data under general guidance., • Support the optimization of manufacturing processes to enhance efficiency, scalability, and robustness., • Contribute to project planning, timeline management, and project milestone deliverables to ensure successful project., • Work closely with cross-functional teams, including R&D, Commercial Marketing, Quality Assurance, Regulatory Affairs, and Manufacturing, to achieve project goals., • Stay up-to-date with the latest scientific advancements and incorporate them into research projects, • Prepare and maintain detailed documentation for product development processes, including experimental protocols, batch records, and technical reports in compliance with Good Documentation Practices (GDP) What We Are Looking For Required Qualifications • Degree in Chemistry, Pharmaceutical Sciences, Chemical Engineering, Materials Engineering, Biomedical Engineering, Biophysics, or a related field., • Ph.D. in Pharmaceutical Sciences +0-2yr, M.S. with 3+ years of relevant experience, or Bachelor’s Degree with 4+ years of relevant experience., • Experience in solid dose formulation and manufacturing (tablets)., • Experience in formulation of liquid for ingestion., • Strong knowledge of formulation science, process development, and foundational understanding of regulatory requirements for OTC medications and dietary supplements., • Proficiency in analytical techniques and methods used in product development and quality control., • Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely., • Ability to work collaboratively within a multidisciplinary team and across various functions., • Strong analytical and problem-solving skills. Desired Qualifications • Experience in product and process development within the consumer health industry., • Experience in solid dose formulation and manufacturing (capsules, soft chews, gummies)., • Experience in formulation of semi-solids for ingestion, topical, and/or nasal application., • Demonstrated ability to manage multiple projects and work effectively in a fast-paced environment., • Proficiency in project management skills, including timeline management, budget oversight, and team coordination.

Principal Scientist, Medical Device Expert, Research & Innovation, Safety Evaluation, Regulatory Affairs and Claims Substantiation & Microbiology (SRCM) - Clark, New Jersey (Hybrid). At L'Oréal Research & Innovation we are pushing the boundaries of Science & Tech. We invest heavily in cutting-edge

A technology company is seeking an AI Research Scientist for a remote opportunity focused on researching and developing cutting-edge AI technologies.Candidates should have a strong background in machine learning and deep learning, experience with Python and AI frameworks, and the ability to collabor

Under general direction, independently, initiates and conducts a research program in a specified field or, supervises staff engaged in conducting a research program or project; coordinates the research program with other programs within and outside of the agency as appropriate; does related duties.

A health technology company in Jersey City is hiring a Staff or Senior Staff Research Scientist to lead AI/ML and LLM model development.

Associate Principal Scientist, Biologics Analytical Research & Development. The Biologics Analytical Research & Development department (BAR&D) is seeking an Associate Principal Scientist position at the Rahway, New Jersey site. Our Research Scientists are our Inventors.

Bachelor’s degree in Food Science, Food Processing / Engineering or related field. We are currently looking for a Food Scientist to join the Research and Development team. Technical knowledge of the food manufacturing processes, equipment, packaging.

Codertal is hiring an AI Research Scientist for a remote opportunity in the European Union on a B2B contract.If you’re passionate about researching, developing, and advancing cutting‑edge AI technologies, we’d love to have you on board! Last Updated: 21.Location: Remote – European Union Co

Associate Principal Scientist, Post Market Safety, L'Oréal Research & Innovation - Clark, New Jersey. As an Associate Principal Scientist in Post Market Safety, your responsibilities will include:.

Participation in internal and joint internal/external research project teams relevant to the development of new compounds. Assist the Senior Director, Associate Vice-President/Vice-President and Product Development Team Lead in ensuring that appropriate corporate personnel is informed of the progres

The Clinical Director (Principal Scientist) has primary responsibility for planning and directing clinical research activities involving new or marketed medicines in the Immunology therapeutic area.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description**Associate Principal Scientist, Biologics Analytical Research & DevelopmentOur Research Scientists are our Inventors. The Biologics Analytical Research & Development department (BAR&D) is seeking an Associate Principal Scientist position at the Rahway, New Jersey site.

Senior Staff Research Scientist:. Staff or Senior Staff Research Scientist. A strong independent problem solver comfortable with ambiguity and research-driven development.

A leading pharmaceutical company in Rahway, New Jersey, is seeking an experienced Associate Principal Scientist for Biologics Analytical Research & Development.

As a Research Scientist Intern at Whiterabbit.

Area to join its research team as a Research Scientist to support highly technical research and project related activities under the direction of a senior principal investigator to ensure the successful execution of the contract project. AIRC is aligned with the SERC, a University-Affiliated Researc

The Research Scientist will work on the modeling, simulation, and architectural development of. The role serves as a technical bridge between the research.

The Research Scientist will work on the modeling, simulation, and architectural development of. The role serves as a technical bridge between the research.

Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Area to join its research team as a Research Scientist to support highly technical research and project related activities under the direction of a senior principal investigator to ensure the successful execution of the contract project. AIRC is aligned with the SERC, a University-Affiliated Researc

We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies. Most research studies are conducted remotely at home, though some may be in-person.

No previous market research or industry experience required. Participate in nationally recognized research initiatives. You will complete a short screening form so our system can match you with relevant consumer research opportunities within our national insights program.

We're currently looking for individuals across the country to take part in remote paid market research, including online focus groups, product trials, and consumer studies. Most research studies are conducted remotely from home, though some may be in-person. Comfort participating in remote, market r

Part-time Research Study Personnel (Pay up to $790/wk. Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies. Health Issues (Research for cures and new medications to treat ailments).

Part-time Research Study Personnel (Pay up to $790/wk. Due to demand, we are now accepting applications for personnel to participate in our local in-person and nationwide remote research studies. Health Issues (Research for cures and new medications to treat ailments).

Project Manager and/or Business Analyst.Strong background in the investment management industry.Demonstrated expertise in process improvement and process-driven environments.Advanced SQL skills with the ability to work hands-on with data.Solid understanding of fixed income instruments and related da

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a regional utility and gas company in Newark, NJ.No Third-Party, No Corp to Corp, No Sponsorship Now or Future.Title: Project Manager – Engineering.H

UPDATE as of 4/202/206 that while the profiles received so far have been strong, they'd like to see more candidates with operational/functional backgrounds and project management (PM) experience.For this role, we need someone who understands the business and can align with the needs of each function

Portfolio & Program Leadership.Design and operate a comprehensive portfolio management framework to intake, prioritize, and track key projects and organizational priorities.Lead the development and delivery of complex, ambiguous initiatives where methodology, requirements, customer needs, and/or

Please review the job description below and contact me ASAP if you are interested.Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Impacts division and influences peers and team.Demonstrates g

Project Manager – Insurance Technology & Operations.Client is seeking an experienced Project Manager to lead cross-functional initiatives across insurance operations, digital transformation, and core system modernization.This role will drive delivery of strategic programs spanning policy admin