The Project Manager will work closely with internal stakeholders across IT and business operations, system integrators, vendors, and subject matter experts to ensure successful execution and delivery of DERMS-related capabilities supporting grid reliability, operational visibility, and distributed energy optimization. June 3, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Jersey City, NJ9 days ago
The ideal candidate will have strong experience in end-to-end Java development, big data ecosystems, and performance engineering and a proven ability to design and implement target architectures, optimize data-intensive applications, and lead migration to strategic platforms. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
Jersey City, NJ29 days ago
The ideal candidate will have strong experience in UI and database test automation, complex SQL, Unix, and Agile delivery and a proven ability to design, execute, and automate comprehensive test suites that ensure high-quality releases. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
For utility or power systems environments, support analysis related to operational workflows, outage management, grid operations, asset management, system integrations, or related business processes. Preferred Qualifications:Experience working in electric utility, transmission, distribution, outage management, energy management, asset management, or related power systems environments.
li style="font-size:12pt;font-family:'tahoma' , 'arial' , 'helvetica' , sans-serif">Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution. Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes.
The successful candidate will join a group of innovative analytical scientists with broad deliverables to support commercial pharmaceutical products, ensuring an undisrupted supply of our company products to patients globally. Bachelor's Degree (BS) in Chemistry or related discipline with at least seven (7) years of relevant pharmaceutical development experience, OR Master's Degree (MS) in Chemistry or related discipline with at least five (5) years of relevant pharmaceutical development experience, OR PhD in Analytical Chemistry or related discipline.
About the role : Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations.
For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. We are seeking an Senior Associate Scientist to join our Protein Expression Sciences team, assisting with operations of automated liquid handlers to support our VelociMab antibody discovery efforts.
p>All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
Budget management / facilitation: Since consumer research is a large contributor to PD spend, help PD and Finance plan and manage budget, and confirm invoicing of research in accordance with period-by-period budget management process Digitization enabler: Ensure all Consumer Science requests and reports are shared through LabVantage. Sensory science, Food Science, Psychology) with a strong theoretical background in test design, research methodologies & statistical analysis techniques 10+ Years in CPG R&D Proven expertise in Sensory and Consumer Product Research, enabling sensory informed product design decisions.
Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels.
In this role, you will lead a small team of analytical chemists and play a key role in multidisciplinary innovation programs, delivering critical analytical insights that enable the development of impactful fragrance, taste, health, and nutrition solutions. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.
In this position, you will partner with our Product, Engineering, Operations, and Data Science teams to define and lead improvements to our data pipelines, setting direction that enables faster, more effective care delivery and measurement. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country.
The Senior Director, Applied Science, drives the practical application of this expertise across all impact pathways, ensuring clear value propositions, operating models, tools, decision-making processes, revenue models, assurance mechanisms, and claims frameworks, while embedding coordination, accountability, and continuous learning across the organization. Knowledge of sustainable development issues and commitment to Rainforest Alliances goals: conserving forests and other high-value ecosystems; restoring production systems and rural landscapes; mitigating climate change and building climate resilience; and strengthening livelihoods and securing human rights.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Required Skills: Animal Vaccination, Business Intelligence (BI), Collaborative Development, Computer Engineering, Computer Science, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Disease Prevention, End to End Management, Information Technology (IT) Support, IT Project Lifecycle, Machine Learning (ML), Prioritization, Python (Programming Language), Software Development, Stakeholder Relationship Management, Veterinary Medicine, Waterfall Model, Working Independently. Your role combines hands-on data science delivery with a strong stakeholder-facing dimension - you will be expected to both build and ship AI solutions and act as the first point of contact for partners navigating clinical AI questions.
Leadership skills to motivate the team to achieve broad operational targets with impacts on own job discipline, multiple job disciplines, and department. Negotiate with senior management, customers, and external parties of divergent interests to reach an agreement of strategic importance while being guided by the business segment and the organization's functional strategy.
Director will set direction and deliver applied AI/ML solutions across internal workflows and externally facing outputs, ranging from R&D insights to partner-ready analyses, while partnering closely with scientific teams and, when needed, external vendors/partners to solve real problems. It requires a leader who can build, validate, and operationalize models using real-world biopharma data, raise the signal-to-noise ratio in small or unstructured datasets, and include synthetic control arm approaches where appropriate.
FleishmanHillard was named 2020, 2021 and 2022 Campaign Global PR Agency of the Year; 2023 ICCO Large Agency of the Year - The Americas; 2022 and 2023 PRWeek U.S. Agency of the Year; 2022 and 2023 PRWeek U.S. Outstanding Extra-Large Agency of the Year; 2023 Campaign US PR Agency of the Year; 2021 PRovoke APAC Consultancy of the Year; and 2021 PRWeek UK Large Consultancy of the Year. This role will operate at the intersection ofcorporate reputation, policy, innovation, and societal impact, partnering closely with senior client leadership to shape how the client is positioned in an increasingly complex global environment.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The ideal candidate will have demonstrated expertise in healthcare data environments including clinical data warehouses, OMOP Common Data Model, EHR integration, biomedical ontologies, semantic data models, knowledge graphs, and real-world evidence pipelines. This role also requires strong capability in NLP and LLM-based systems for clinical text understanding, phenotyping, knowledge extraction, and decision support, alongside deep familiarity with agentic AI patterns, trustworthy AI, model monitoring, fairness evaluation, explainability, and regulatory expectations for AI deployment in healthcare settings.