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Remote Assay Development Scientist Jobs in Maine

NinjaOne

$101K - $137K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... development, with a strong focus on data engineering and data science. * Demonstrated business ...

Icon plc

Clinical System Lead

Mexico, ME · Remote

Clinical System Lead - Canada, Colombia, Mexico (Remote) ICON is a global healthcare intelligence ... The Clinical System Lead (CSL) will lead and direct one or more Clinical Data Science (CDS) project ...

NinjaOne

$101K - $137K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... science workloads. * Pipeline Development: Build and maintain scalable streaming and batch data ...

NinjaOne

$101K - $137K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... science workloads. * Pipeline Development: Build and maintain scalable streaming and batch data ...

Cisco

Software Security Lead (Remote)

Augusta, ME · Remote

Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ... development, or security engineering, including a senior or lead role. * Proven experience leading ...

New

Cisco

Software Security Lead (Remote)

Augusta, ME · Remote

Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical ... development, or security engineering, including a senior or lead role. * Proven experience leading ...

New

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Remote Assay Development Scientist information

What does a remote assay development scientist do?

A Remote Assay Development Scientist designs, develops, and optimizes laboratory assays—analytical tests used to detect or measure biological or chemical substances—while working from a remote location. They collaborate virtually with research teams to plan experiments, analyze data, and troubleshoot assay performance. Their work is critical in fields such as diagnostics, pharmaceuticals, and biotechnology, ensuring that assays are accurate, reliable, and fit for their intended purpose. This role often involves using specialized software and digital tools to communicate results and manage project workflows.

What are the key skills and qualifications needed to thrive as a remote assay development scientist, and why are they important?

To thrive as a Remote Assay Development Scientist, you need a solid background in biochemistry, molecular biology, or a related field, typically supported by an advanced degree and experience in assay design and validation. Familiarity with laboratory automation software, data analysis platforms, and regulatory compliance tools is essential. Strong problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote collaboration and project management. These skills ensure the accurate development, optimization, and reporting of assays while maintaining productivity and quality in a remote work environment.

What are some common challenges faced by remote assay development scientists, and how can they be addressed?

Remote Assay Development Scientists often face challenges related to limited access to laboratory resources and real-time collaboration with lab-based colleagues. To overcome these, effective communication tools, regular virtual meetings, and clear documentation are essential. Utilizing remote data analysis platforms and project management software can also help ensure progress and alignment. Proactively seeking feedback and maintaining close contact with cross-functional teams supports efficient troubleshooting and project advancement.

What is the difference between Remote Assay Development Scientist vs Remote Laboratory Technician?

AspectRemote Assay Development ScientistRemote Laboratory Technician
Required CredentialsBachelor's or Master's in Life Sciences, relevant lab experienceAssociate's or Bachelor's in Science, technical training
Work EnvironmentDesigning and developing assays, data analysis, remote collaborationPerforming routine lab tasks, sample preparation, data recording
Employer & Industry UsageBiotech, pharma, research institutionsLaboratories, clinical testing facilities, biotech companies
Search & Comparison IntentUnderstanding role differences, career planningJob responsibilities, required skills

The Remote Assay Development Scientist focuses on designing and optimizing assays, requiring advanced scientific knowledge and data analysis skills. In contrast, the Remote Laboratory Technician performs routine lab tasks and sample processing. Both roles are essential in biotech and pharma industries but differ in responsibilities, credentials, and work scope.

What are popular job titles related to Remote Assay Development Scientist jobs in Maine?

For Remote Assay Development Scientist jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Remote Assay Development Scientist jobs in Maine look for?

The top searched job categories for Remote Assay Development Scientist jobs in Maine are:

What cities in Maine are hiring for Remote Assay Development Scientist jobs?

Cities in Maine with the most Remote Assay Development Scientist job openings:

Remote Assay Development Scientist jobs near you
Infographic showing various Remote Assay Development Scientist job openings in Maine as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Biddeford, ME • 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

​

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:

  • Bachelor’s or Master’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.

Apply