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Remote Research Scientist Jobs in Delaware (NOW HIRING)

Senior AI Engineer

Wilmington, DE ยท On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role ... R&D, Supply Chain, and Sales. You'lljoin a highly collaborative team that values speed and quality ...

This role is based in United State and is a remote position. You will be part of a collaborative ... Provide specialized technical and scientific support for enzyme and yeast applications in customer ...

Showing results 21-35

Remote Research Scientist information

See Delaware salary details

$50.5K

$130.2K

$174.2K

How much do remote research scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote research scientist in Delaware is $130,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $173,100.00 per year, depending on experience, location, and employer.

How does collaboration work for remote research scientists who are not physically present with their teams?

Remote Research Scientists often collaborate through digital platforms such as video conferencing, shared cloud-based documents, and project management tools to ensure seamless communication and teamwork. Regular virtual meetings, clear documentation, and prompt updates are essential to keep everyone aligned on project goals and timelines. Many organizations have established protocols for remote workflow that foster close cooperation with colleagues across disciplines and time zones. This structure enables Remote Research Scientists to effectively contribute to joint publications, share findings, and access support from mentors or team leads regardless of their physical location.

Can a remote research scientist work from home?

Yes, many remote research scientists work from home, utilizing digital collaboration tools and data analysis software. Their work often involves independent research, data collection, and reporting, which can be performed remotely with a reliable internet connection and relevant technical skills.

Do I need a PhD to be a remote research scientist?

A PhD is often preferred for remote research scientist roles, especially in academia or specialized fields, but it is not always required. Relevant experience, strong research skills, and expertise in specific tools or methodologies can also qualify candidates for such positions.

Can you work remotely as a research scientist?

Many research scientists can work remotely, especially in fields like data analysis, computational modeling, and literature review, which rely on computers and digital tools. However, roles involving laboratory experiments, fieldwork, or equipment use may require on-site presence. Remote work opportunities depend on the employer, project requirements, and the specific research area.

What are the key skills and qualifications needed to thrive as a remote research scientist?

A Remote Research Scientist typically needs an advanced degree (Master's or Ph.D.) in a relevant scientific field, strong analytical abilities, and experience designing and conducting research studies. Familiarity with statistical software, data analysis tools, and research databases, as well as experience with tools like R, Python, or MATLAB, is often required. Excellent written and verbal communication, self-motivation, and strong organizational skills are key soft skills for this role. These competencies are crucial for managing independent research projects, collaborating virtually with team members, and producing high-quality, publishable work.

Are remote research scientists in high demand?

Remote research scientists are in high demand across industries such as healthcare, technology, and academia due to the increasing reliance on data analysis, scientific innovation, and remote collaboration tools. Employers seek candidates with strong analytical skills, relevant technical expertise, and the ability to work independently in a virtual environment.

What is a remote research scientist?

A Remote Research Scientist conducts scientific research and analysis from a remote location, often for academic institutions, private companies, or government agencies. They design experiments, analyze data, and publish findings while collaborating with teams virtually. Depending on the field, they may work in areas like artificial intelligence, biology, or social sciences. Strong communication, data analysis, and self-management skills are crucial for success in this role.

What are the most commonly searched types of Research Scientist jobs in Delaware? The most popular types of Research Scientist jobs in Delaware are:
What cities in Delaware are hiring for Remote Research Scientist jobs? Cities in Delaware with the most Remote Research Scientist job openings:
Infographic showing various Remote Research Scientist job openings in Delaware as of August 2026, with employment types broken down into 3% Internship, 87% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,229 per year, or $62.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Smyrna, DE โ€ข Remote

Full-time

Re-posted 18 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.