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Hourly Remote Health Science Jobs in Connecticut

3B Staffing LLC

Data Scientist/AI

East Hartford, CT · Remote

Hartford, CT REMOTE 6- Months contract to hire US or GC Only GC or Citizens only On a side note ... Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

Sony

$50/hr

D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for ...

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Hourly Remote Health Science information

What are hourly remote health science jobs?

Hourly remote health science jobs are positions in the health science field that allow professionals to work from home or another remote location and are paid based on the number of hours worked. These roles can include jobs such as remote clinical research assistants, telehealth coordinators, medical writers, health educators, or data analysts. They often require specialized knowledge in health sciences and may involve tasks like data entry, patient communication, report writing, or research support. These jobs offer flexible schedules and are ideal for those seeking work-life balance or additional income.

What are the key skills and qualifications needed to thrive as an hourly remote health science professional?

To succeed as an Hourly Remote Health Science professional, you typically need a background in health sciences or a related field, often evidenced by a relevant degree or certification. Familiarity with digital collaboration platforms, electronic health records (EHRs), and common health data management systems is important. Strong communication, self-motivation, and time management skills make a candidate stand out in remote settings. These skills ensure effective virtual collaboration, accurate data handling, and the delivery of quality health science services from a distance.

What are some common challenges faced by hourly remote health science professionals, and how can they be managed?

Hourly remote health science professionals often encounter challenges such as maintaining clear communication with team members, managing varying workloads, and ensuring data security and patient confidentiality from a remote setting. To address these, it's important to establish regular check-ins with supervisors, use secure digital platforms for data sharing, and set a structured daily routine to stay organized. Additionally, staying updated on the latest industry regulations and best practices for remote work can help ensure compliance and efficiency.

What is the difference between Hourly Remote Health Science vs Hourly Remote Medical Writer?

AspectHourly Remote Health ScienceHourly Remote Medical Writer
Required CredentialsTypically requires a degree in health sciences, biology, or related fields; certifications like CCRP or CPH are commonRequires a background in health sciences, life sciences, or related fields; certifications like APT or AMWA are advantageous
Work EnvironmentRemote, often collaborating with research teams, healthcare professionals, or pharmaceutical companiesRemote, primarily focused on creating scientific content, reports, and publications for clients or organizations
Employer & Industry UsageUsed by research institutions, healthcare companies, and pharma firms for scientific support rolesUsed by publishing houses, biotech firms, and healthcare agencies for content creation and editing

Hourly Remote Health Science professionals focus on research, data analysis, and supporting healthcare projects, while Hourly Remote Medical Writers specialize in producing scientific documents and publications. Both roles require health sciences knowledge and often work remotely, but their core responsibilities differ in application and output.

What are the most commonly searched types of Remote Health Science jobs in Connecticut?

The most popular types of Remote Health Science jobs in Connecticut are:

What are popular job titles related to Hourly Remote Health Science jobs in Connecticut?

For Hourly Remote Health Science jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Hourly Remote Health Science jobs in Connecticut look for?

The top searched job categories for Hourly Remote Health Science jobs in Connecticut are:

What cities in Connecticut are hiring for Hourly Remote Health Science jobs?

Cities in Connecticut with the most Hourly Remote Health Science job openings:

Hourly Remote Health Science jobs near you
Infographic showing various Hourly Remote Health Science job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Data Scientist/AI

3B Staffing LLC

East Hartford, CT • Remote

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist/AI **URGENT NEED**

Hartford, CT

REMOTE

6- Months contract to hire

US or GC Only

GC or Citizens only

On a side note - We need someone who is hands on coding especially with Google tech stack developing AI agents. Python and LangChain background with ability to develop AI agents using Google ADK (Agent Development Kit) and deploy on Vertex AI infrastructure. This resource should have a good understanding of Multi Agent Orchestrator with experience in Tool/API integrations to bring in data, RAG, Model Performance and feedback, Observability, security & Ethical AI etc;

Please forward profiles that match this criteria

Required Certifications/Education:

  • Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. (Equivalent practical experience may be considered)
  • Relevant Certifications on AI, ML, GenAI and Agentic AI disciplines (at minimum 2-3 certifications are recommended) such as Agentic AI certifications/badges offered by leading industry course providers and platforms (like Courseera, Udemy, Deeplearning.AI etc.)

Required Skills & Experience:

  • Required 2+ years of experience developing and deploying GenAI/LLM powered applications/products
  • Required 1+ years of experience building Agentic AI systems, including planning, reasoning, and decision-making components.
  • Required proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, transformers, LangChain, LangGraph, Autogen, LLamaIndex etc.).
  • Required experience with Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization.
  • Required experience with Reinforcement Learning (RL) algorithms and their application to agent training.
  • Required experience working with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure, IBM, Salesforce).
  • Required experience with version control systems (e.g., Git).
  • Required strong communication and collaborative skills.
  • Required experience working in an Agile development environment.

Required Platform Experience (One or more of the following):

  • Required experience developing agents using Google ADK and deploy on VertexAI.
  • Required experience integrating AI models with enterprise IT systems.

Preferred Skills & Experience:

  • Preferred experience with prompt engineering and fine-tuning large language models.
  • Preferred experience with knowledge graphs and semantic reasoning.
  • Preferred experience with multi-agent systems and their coordination.
  • Preferred experience with explainable AI (XAI) techniques.
  • Preferred experience with MLOps and model deployment pipelines.
  • Preferred experience with containerization technologies (e.g., Docker, Kubernetes).
  • Preferred experience with Salesforce development tools (e.g., Force.com IDE, Apex Data Loader, AutoRABIT).
  • Preferred experience with IVR Technologies (e.g., Avaya, Cisco), Chatbot development, and other conversational AI platforms.
  • Preferred experience working in an onshore/offshore support model collaborating with offshore teams.
  • Preferred experience working with GitHub and other collaborative development platforms.

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