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Railway Group D

New York,NY

1078 Railway Group D jobs in New York,NY

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At&t - Brooklyn, NY

Bilingual Russian Retail Sales Consultant
~ 26 min OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
Culinary Agents
Maitre D

Sailor

Brooklyn, NY 11205

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R&D Program Planner

USA Thornton Tomasetti

New York, NY 10025

$80,000-$95,000/yr
RemoteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree preferred
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Principal, R&D Digital Enablement

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

  • Bachelor's degree or higher in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Materials Science, or a closely related discipline with substantial chemistry content; formal education or demonstrated applied training in data science, statistics, cheminformatics, computational science, or a related quantitative field.
  • 6+ years of progressive experience in chemistry-based product development, formulation, process development, computational or data-enabled R&D;, or digital enablement, including hands-on delivery of consumer health, OTC, personal care, cosmetics, medical device, pharmaceutical, or related products.
  • Strong systems-thinking and problem-framing skills, with the ability to connect strategy, processes, data, technology, people, and business outcomes.
  • Experience with materials informatics in product or process development, including applications such as cheminformatics, computational chemistry, formulation informatics, design of experiments, multivariate analysis, predictive modeling, simulation, optimization, or machine learning, preferably in a regulated or quality-managed environment.
  • Experience using business-analysis methods to frame scientific problems, map processes and decisions, define materials informatics or automation use cases, identify data and integration requirements, assess options, and support requirements definition, user acceptance, implementation, adoption, and outcome measurement with technical delivery teams.
  • Demonstrated data-science literacy, including the ability to evaluate data fitness, understand common analytical and machine-learning approaches, discuss model inputs and outputs with technical specialists, and recognize limitations, uncertainty, bias, and validation needs. Hands-on experience applying computational or statistical models to chemistry, formulation, or process problems; deep specialist model development is supported by technical partners.
  • Effective communication and leadership presence, with the ability to explain complex scientific and digital concepts, facilitate decisions, and engage senior leaders.
  • Demonstrated learning agility, self-direction, and growth potential in rapidly evolving technical and organizational environments.
  • Familiarity with regulatory requirements and quality standards applicable to scientific research, product development, and data management.
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New, Posted 1 day ago
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