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      Commute Time
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      Title
      Job Type
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      511 Basic Research Principle Scientist jobs in New Jersey

      DiversityJobs
      Client Director, GTS (Pharma/Life Sciences)

      Gartner

      Newark, NJ 07175

      iHire
      Sales Executive

      Nestle Health Science

      Bridgewater, NJ 08807

      Apply Directly
      Principal Research Associate, Multiplex Immunohistochemistry & Digital Pathology

      Genmab

      Plainsboro, NJ 08536

      RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • Bachelor's degree in biomedical science with an interest/experience in histology and immunohistochemistry assay development.
      • Minimum of 5 years Research experience
      • Eligibility for American Society for Clinical Pathology (ASCP) certification for Histotechnician (HT) or Histotechnologist (HTL) desired but not required.
      • Experience managing human tissues and working with Laboratory Information Management Systems (LIMS).
      • Understanding and experience with CAP Accreditation requirements is a plus.
      • Excellent written and verbal communication skills and experience with Excel and PowerPoint.
      • Positive and open mindset and willingness to work in multidisciplinary teams in close collaboration with pathologists and other scientists.
      • Knowledge of pre-clinical tissue processing and biomarker development is desired but not required.
      SmartExplore AI is experimental.
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      DiversityJobs
      Executive Partner, CIO/CTO Advisory for Healthcare and Life science

      Gartner

      Newark, NJ 07175

      Director of Research & Clinical Trials

      AMN Healthcare

      Camden, NJ 08103

      New, Posted 19 hours ago
      Apply Directly
      Sr Systems Engineer– Radar System Design

      Lockheed Martin

      Grenloch, NJ 08032

      Flexible Schedule
      New, Posted 19 hours ago
      Apply Directly
      Sr Systems Engineer– Radar System Design

      Lockheed Martin

      Port Elizabeth, NJ 08348

      Flexible Schedule
      Apply Directly
      Courier (Candidate Pool)

      Pace Analytical Services

      Woodcliff Lake, NJ 07677

      $18/hr
      OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • High school diploma or equivalent
      • Valid Driver's License
      • The ability to maintain all required licenses and certifications
      • Knowledge of safe driving, customer service, and sample transport principles
      • Ability to learn and follow organizational policies, procedures, and transportation protocols
      • Comfort using basic computer applications and maintaining documentation accurately
      • Strong communication skills with both internal teams and external customers
      • Ability to work independently and as part of a team
      • Good judgment, professionalism, and discretion when interacting with others
      SmartExplore AI is experimental.
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      New, Posted 18 hours ago
      Recommended
      ResumeLibrary
      RWJBarnabas Health is Seeking a Primary Care Sports Medicine Physician in Jersey City, NJ

      RWJBarnabas Health

      Jersey City, NJ 07305

      $259,000-$434,000/yr
      New, Posted 18 hours ago
      ResumeLibrary
      Principal Quant Developer (MLOps)

      Fidelity Investments

      Jersey City, NJ 07305

      OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
      • Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
      • This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
      • Expert in Python with experience across the development stack (full stack)
      • Exposure to object-oriented programming (OOP) and design patterns
      • Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
      • A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
      • Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
      • Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
      • Proven ability to construct and manage robust data pipelines and event-driven workflows
      • Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
      • Experience in containerization with Docker and orchestration with Kubernetes
      • Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
      • Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
      • Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
      • Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
      • Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
      • Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
      • Awareness of responsible AI governance practices
      • Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
      • Demonstrated knowledge of mathematics, statistics, and quantitative finance
      • Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
      • Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
      • Domain knowledge in either equities, fixed income or alternative asset classes
      SmartExplore AI is experimental.
      View now

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