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Remote Applied Biology Jobs (NOW HIRING)

NorthEastern

Postdoctoral Research Fellow

Boston, MA · On-site +1

... conduct applied research, prepare work for submission to journal/conference publications ... D. in computer science, AI, Data Science, computational biology, Ethics in AI, or health-related ...

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Remote Applied Biology information

What job makes $10,000 a month without a degree?

Remote applied biology roles typically require specialized education or training, and earning $10,000 a month without a degree is uncommon in this field. However, some high-paying freelance or consulting positions in biology-related areas, such as scientific consulting, data analysis, or technical writing, can reach this income level with experience and expertise. Building a strong portfolio, networking, and developing specialized skills can help achieve higher earnings without formal degrees.

What are the key skills and qualifications needed to thrive as a Remote Applied Biologist, and why are they important?

To thrive as a Remote Applied Biologist, you need a solid background in biological sciences, data analysis, and research methodologies, typically supported by a relevant degree such as biology, biotechnology, or environmental science. Proficiency with statistical software (like R or Python), laboratory information management systems (LIMS), and virtual collaboration tools is often required. Strong problem-solving abilities, self-motivation, and clear written communication are critical soft skills for remote work environments. These skills and qualities enable effective research, accurate data interpretation, and successful collaboration on virtual scientific teams.

How do remote applied biology professionals effectively collaborate with laboratory-based teams?

Remote applied biology professionals typically collaborate with lab-based teams through regular virtual meetings, shared digital platforms for data analysis, and clear communication protocols. They are often responsible for tasks such as data interpretation, literature review, and computational modeling, which complement laboratory work. To ensure seamless collaboration, remote biologists use cloud-based tools and maintain consistent updates with lab colleagues, bridging the gap between experimental results and applied research. Building strong communication skills and being proactive in seeking feedback are key to thriving in this collaborative environment.

What is a Remote Applied Biologist?

A Remote Applied Biologist is a professional who studies living organisms and applies biological principles to solve real-world problems, often working from a remote location rather than on-site in a lab or field. Their work may involve data analysis, research, and collaboration with other scientists remotely using digital tools. This role is common in areas such as environmental consulting, healthcare technology, and biotechnology, where much of the analysis and reporting can be done online. Remote Applied Biologists may also contribute to research papers, manage datasets, and participate in virtual meetings with teams across the globe.
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Remote Applied Biology jobs near you
Infographic showing various Remote Applied Biology job openings in the United States as of June 2026, with employment types broken down into 52% Full Time, 15% Part Time, and 33% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.

Neural Network Specialist

Special Projects Engineering LLC

Bellevue, WA • On-site, Remote

$150K - $170K/yr

Full-time

Posted 8 days ago

Job description

About Special Projects Engineering LLC

At Special Projects Engineering, we rethink problems from the ground up. We’re a small, high-impact team based in Seattle focused on applying advanced AI to complex, often unconventional challenges. Our work spans autonomous systems, predictive infrastructure, synthetic biology, and defense-grade automation. If it’s ambitious, technical, and hasn’t been done before, we’re probably already working on it.

What You’ll Do

As a Neural Network Specialist, you’ll be responsible for designing and optimizing deep learning architectures that push the limits of what’s technically possible. You’ll collaborate closely with the CTO and a diverse team of engineers, scientists, and domain experts to move ideas from prototypes to deployment.

Key responsibilities:

  • Design, train, and evaluate neural network architectures for real-world use

  • Work with unstructured data including visual, auditory, textual, and time-series formats

  • Develop systems for tasks like perception, decision-making, prediction, and control

  • Optimize models for performance, scalability, and deployment on various platforms

  • Rapidly iterate on ideas while balancing reliability and experimental curiosity

  • Collaborate with hardware, embedded, and software teams to integrate models into real systems

  • Contribute to the ML roadmap, infrastructure, and toolchain

What We’re Looking For

  • 5+ years of experience in deep learning or applied neural network research

  • Strong Python skills, with additional experience in C++ or Rust preferred

  • Expertise in PyTorch, TensorFlow, or JAX

  • Solid understanding of training techniques, loss functions, evaluation metrics, and deployment strategies

  • Experience with one or more domains like computer vision, NLP, reinforcement learning, or multimodal models

  • Comfortable owning projects from research through production

  • Bonus if you’ve worked with robotics, embedded AI, or unusual sensor inputs

Why You Might Care

  • Competitive salary and meaningful equity

  • Remote-friendly with flexible hours

  • Full medical, dental, and vision coverage

  • Access to top-tier GPU hardware

  • Small team, zero bureaucracy, high ownership

  • Projects that are genuinely interesting and occasionally a little insane

If you're serious about pushing neural networks into places they've never gone before, apply now and let's get to work.