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

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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.

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

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Sr Systems Engineer– Radar System Design

Lockheed Martin

Grenloch, NJ 08032

Flexible Schedule

New, Posted 19 hours ago

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Sr Systems Engineer– Radar System Design

Lockheed Martin

Port Elizabeth, NJ 08348

Flexible Schedule

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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.

New, Posted 18 hours ago

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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