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Data Science Research Assistant Remote Jobs in Edison, NJ

... based research and generate insights from large data sets with a hands-on/can do attitude of ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data ... T h e remote position is only applicable for those that are not within commutable distance to ...

New

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... science and three years of responsible full-time research experience in the appropriate field of ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... science and three years of responsible full-time research experience in the appropriate field of ...

Lead Data Scientist

San Francisco, CA · On-site +1

$130K - $200K/yr

The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research ... Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads ...

Staff Data Scientist

New York, NY · Remote

$195K - $218K/yr

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ ...

Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ ...

... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ... science and three years of responsible full-time research experience in the appropriate field of ...

... week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37. For ... science and three years of responsible full-time research experience in the appropriate field of ...

... research, social, and design - Serotonin accelerates global innovation. At the core of our business ... Develop statistical models and data science solutions while also implementing the infrastructure to ...

... research, social, and design - Serotonin accelerates global innovation. At the core of our business ... Develop statistical models and data science solutions while also implementing the infrastructure to ...

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data ... Remote Shift: 1st - Day Valid Driving License: No Hazardous Material(s): N/A Job Posting End Date ...

New

Data Scientist III

New York, NY · On-site +1

$172K - $219K/yr

Telecommuting: 100% Remote. REQUIREMENTS: This position requires a bachelor's degree or foreign equivalent in Data Science, Business Administration, Actuarial Science or a related field and 5 years ...

Showing results 41-60

Data Science Research Assistant Remote information

See Edison, NJ salary details

$8

$22

$32

How much do data science research assistant remote jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data science research assistant remote in Edison, NJ is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $26.39 per hour, depending on experience, location, and employer.

What is a data science research assistant remote?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.

What are the key skills and qualifications needed to thrive as a data science research assistant remote?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote data science research assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are popular job titles related to Data Science Research Assistant Remote jobs in Edison, NJ?

For Data Science Research Assistant Remote jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant Remote jobs in Edison, NJ look for?

The top searched job categories for Data Science Research Assistant Remote jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Data Science Research Assistant Remote jobs?

Cities near Edison, NJ with the most Data Science Research Assistant Remote job openings:

Infographic showing various Data Science Research Assistant Remote job openings in Edison, NJ as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $47,178 per year, or $22.7 per hour.

Curriculum Manager - Data Science and AI

DataCamp

New York, NY • On-site, Remote

Full-time

Re-posted 24 days ago


Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum—helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like:

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors.
  • Collaborate with instructors to create engaging content.
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production.
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus.
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format—you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp?

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors – Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation – We offer a competitive salary with attractive benefits.
  • Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth – Access to a yearly learning & development budget.
  • Global Culture – Join a team that values international collaboration.
  • Annual Retreats – Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.