Top 150 Data visualization user experience engineer Jobs in Jersey City, Nj

AI Engineer Clinical Data Science
Katalyst Healthcares & Life Sciences —Manhattan, NY
- Contract
- Computer science
- Computer Science
- Research
Quick Apply
Data Engineer, Product Analytics (University Grad)
Meta —New York, NY
- $99,008 - $139,000 a year
- Computer science
- Computer Science
- System design
Data Scientist, Customer Experience
Whatnot —New York, NY
- $162,000 - $215,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- SQL
- Paid parental leave
- Health insurance
Data Analyst
Wilson Elser - Business & Legal Professionals —New York, NY
- $80,000 - $90,000 a year
- Computer Science
- Mid-level
- Office
- Paid time off
- 401(k) matching
Quick Apply
Data Scientist
Capgemini —New York, NY
- $94,248 - $215,050 a year
- Full-time
- Computer Science
- 5 years
- SQL
- Paid holidays
- Disability insurance
EpiQuery User Research
Public Health Solutions —New York, NY
- $91,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- 403(b) matching
- Commuter assistance
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Data Scientist, Product Analytics
Whatnot —New York, NY
- $185,000 - $260,000 a year
- Full-time
- Remote
- Computer Science
- 3 years
- SQL
- Paid parental leave
- Health insurance
Sr. Data Engineer
Contact Government Services, LLC —New York, NY
- $144,768.00 - $209,109.33 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- IT
- Health insurance
- Dental insurance
Quick Apply
Asset & Wealth Management, Wealth Investment Solutions (WIS), Digital Product Manager, Analyst - New York
Goldman Sachs —New York, NY
- $90,000 - $125,000 a year
- Full-time
- Computer Science
- Office
- Product management
- Disability insurance
- Health insurance
5d
Data Engineer, Analytics (Technical Leadership)
Meta —New York, NY
- $210,000 - $281,000 a year
- Computer science
- Computer Science
- Bachelor of Science
Data Engineer, Product Analytics
Meta —New York, NY
- $177,000 - $247,000 a year
- Computer science
- 7 years
- Computer Science
Data Scientist
Pickle —New York, NY
- $170,000 - $250,000 a year
- Full-time
- Mid-level
- SQL
- Python
- Health insurance
- Dental insurance
Quick Apply
Data Scientist, GTM
Anthropic —New York, NY
- $285,000 - $380,000 a year
- Hybrid work
- 5 years
- Office
- SQL
- Parental leave
- Flexible schedule
Product Designer
Shade.inc —New York, NY
- $120,000 - $160,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
10d
Data Scientist, Safeguards
Anthropic —New York, NY
- $235,000 - $285,000 a year
- Hybrid work
- Office
- 3 years
- SQL
- Parental leave
- Flexible schedule
Sr Front-End Engineer (React/Web) Engineer | Jersey City, NJ - Onsite | In-person client interview
Next Gen Software Solutions —Jersey City, NJ
- $140,000 a year
- Full-time
- Office
- Mentoring
- In-person
Quick Apply
5d
Senior Data Engineer
Prudential —Newark, NJ
- $104,000 - $171,600 a year
- Full-time
- Computer science
- Computer Science
- System design
- Employee stock purchase plan
- Disability insurance
Computer Vision & Robotics Navigation Engineer
Mecka —New York, NY
- $150,000 - $185,000 a year
- Full-time
- Hybrid work
- Office
- C++
- Senior level
Quick Apply
Senior Data Engineer
Metropolis —New York, NY
- $160,000 - $220,000 a year
- Evenings as needed
- Computer science
- Computer Science
- 5 years
- Disability insurance
- Health insurance
Quick Apply
AI Business Engineer - Investment Banking Experience
Raymond James Financial, Inc. —New York, NY
- $65,000 - $140,000 a year
- Full-time
- Computer Science
- Writing skills
- Research
- Paid holidays
- Health insurance

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data visualization user experience engineer jobs near jersey city, nj

AI Engineer Clinical Data Science

Katalyst Healthcares & Life Sciences -
Manhattan, NY

Quick Apply

Job Details

Contract

Qualifications

AI models
Containerization systems
Systems integration
Software engineering
Test Automation Development (Quality assurance practices)
Engineering development testing
Generative models
AI platforms (beyond public GPTs)
Computational framework
Machine learning cloud services
Quality assurance in testing
Version control systems
Implementing APIs
Document review
Data-driven problem-solving
Machine learning libraries
Model evaluation
Machine learning frameworks
Generative AI
Providing code feedback

Full Job Description

Job Description:

We are looking for an AI Engineer to join our Data Science team, building AI-powered solutions for clinical data processing and analysis within a major pharmaceutical organization. You will design, develop and deploy generative AI systems that automate clinical reporting workflows, extract intelligence from documents, and accelerate data-driven decision making.
This is a hands-on engineering role you'll be writing production code, not just building prototypes.

Responsibilities:

Generative AI & Automation.
Develop LLM-powered automation tools for clinical reporting and document generation workflows.
Build AI-driven code generation pipelines and quality assessment frameworks.
Design and implement human-in-the-loop review workflows with feedback loops to continuously improve output quality.

Research & Evaluation:

Research and evaluate emerging AI methods, frameworks, and techniques for specific tasks e.g. comparing fine-tuning vs zero-shot approaches, assessing new document extraction tools, or trialling new agentic frameworks.
Prototype and benchmark new approaches before recommending adoption.
Stay current with a rapidly evolving field and bring new ideas to the team.

Agentic AI & Orchestration:

Design and build multi-agent systems for data workflows agents that retrieve, generate, validate, and iterate autonomously.
Implement agent orchestration using frameworks such as Google ADK, Lang Graph, or Lang Chain.
Deploy and manage agents on Google Vertex AI.

Document Understanding & RAG:

Build document processing pipelines (PDFs, Word/DOCX) extraction, parsing, table detection, structure recognition.
Design and build RAG pipelines grounded in source documents.
Process, extract and transform data from unstructured and semi-structured sources.
Code Quality & Engineering Practices:
Write clean, well-tested, maintainable Python code following SOLID principles and recognised design patterns.
Apply single responsibility, dependency inversion, and interface segregation in real codebases not just theory.
Write meaningful tests and maintain high standards across the team.
Refactor and improve existing code as part of normal development workflow.

AI-Assisted Development:

Use AI coding tools (e.g. Gemini CLI, GitHub Copilot) as a core part of your development workflow.
Critically review and validate AI-generated code understanding what it produces, why, and when it's wrong.
Write effective prompts to direct AI tools toward correct, secure, well-structured output.
Know when to use AI and when to write code manually judgement over speed.

Platform & Infrastructure:

Integrate and orchestrate LLM providers available through Google Vertex AI (Gemini, etc.).
Build internal tools and applications using Stream lit and Fast API.
Containerize and deploy services using Docker.

Required Skills & Experience:

MSc in Data Science, Computer Science, Bioinformatics, or related field (or equivalent practical experience), Strong Python skills.
Hands-on experience building RAG systems or LLM-powered applications (using LangChain, LlamaIndex, or similar frameworks).
Experience integrating LLM APIs (Google Gemini, OpenAI, or similar) we work primarily through Google Vertex AI.
Working knowledge of vector databases (ChromaDB, Weaviate, Qdrant, Pinecone, or similar).
Cloud platform experience (GCP preferred, especially Vertex AI).
Docker and containerized deployments.
Strong software engineering fundamentals SOLID principles, clean code practices, design patterns, testing, version control (Git), code review.
Comfortable using AI-assisted development tools (e.g. Gemini CLI, GitHub Copilot) and critically evaluating what they produce.
Strongly Preferred.
Experience with agentic AI patterns multi-agent orchestration, tool use, autonomous workflows (LangGraph, Google ADK, or similar).
Document processing experience extracting and parsing data from PDFs and Word/DOCX files programmatically.
Understanding of LLM evaluation principles and output quality assessment (BLEU, ROUGE etc, code execution metrics, or similar).
Data science fundamentals Pandas, NumPy, scikit-learn, statistical analysis, data visualization.
Prompt engineering and optimisation techniques.
Streamlit application development.

Domain Knowledge:

Clinical trials or pharmaceutical industry experience.
Familiarity with clinical data standards.
Awareness of regulatory and data privacy requirements in life sciences.

Infrastructure & DevOps :

Terraforma or infrastructure-as-code expe rience.
CI/CD pipeline design (GitHub Actions or similar).

Knowledge Graphs:

Neo4j, Cypher query language.
Network for graph analytics.
Graph-based RAG or knowledge extraction.

AI/ML:

Experience with LLM-driven code generation.
LLM fine-tuning experience (e.g. LoRA, PEFT, RLHF, Vertex AI model tuning, or similar approaches).
NLP and text processing (HuggingFace Transformers, Sentence-Transformers).
PyTorch or TensorFlow (for custom model work if needed).
Google ADK (Agent Development Kit) or Vertex AI Agent Builder.
Model Context Protocol (MCP) for tool integration and interoperability.

Other:

Frontend experience (React, TypeScript).
FastAPI or Flask REST API development.
PostgreSQL or similar relational databases.

What You'll Work With:

Languages: Python (primary), SQL, some TypeScript/R.
AI/ML : Lang Chain, LlamaIndex, Lang Graph, Google ADK, MCP, Hugging Face Transformers, Sentence-Transformers, Google Gemini (via Vertex AI).
Document Processing: PyMuPDF, python-docx, pdf plumber, OCR tools.
Data: Pandas, NumPy, SciPy, scikit-learn, Plotly.
Databases: Vector databases, graph databases, relational databases.
Infrastructure: Docker, Google Cloud Platform (Vertex AI, GCS), Terraform, GitHub Actions.
Applications: stream lit, Fast API, Flask.
Tools: Python packaging, testing frameworks, linting, Git.

About You:

You care about code quality not just making things work, but making them maintainable.
You're comfortable working across the full stack of an AI application, from data ingestion to user-facing tools.
You can context-switch between multiple projects and work autonomously.
You're curious about the clinical/pharmaceutical domain and motivated to learn it.
You see AI-assisted development as a force multiplier, not a replacement for engineering judgment.
You're a self-directed learner who researches new methods and tools, evaluates them critically, and knows when to adopt vs when to stick with what works.

Quick Apply

Refine Your Search

data visualization user experience engineer jobs in jersey city, nj

AI Engineer Clinical Data Science

Data Engineer, Product Analytics (University Grad)

Data Scientist, Customer Experience

Data Analyst

Data Scientist

EpiQuery User Research

Data Scientist, Product Analytics

Sr. Data Engineer

Asset & Wealth Management, Wealth Investment Solutions (WIS), Digital Product Manager, Analyst - New York

Data Engineer, Analytics (Technical Leadership)

Data Engineer, Product Analytics

Data Scientist

Data Scientist, GTM

Product Designer

Data Scientist, Safeguards

Sr Front-End Engineer (React/Web) Engineer | Jersey City, NJ - Onsite | In-person client interview

Senior Data Engineer

Computer Vision & Robotics Navigation Engineer

Senior Data Engineer

AI Business Engineer - Investment Banking Experience

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