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Remote Computational Design Jobs in Connecticut (NOW HIRING)

Dover Corporation

Chief Engineer

Pawcatuck, CT · On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Significant experience in the design and manufacture of Active Magnetic Bearing systems ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Significant experience in the design and manufacture of Active Magnetic Bearing systems ...

Dover Corporation

Chief Engineer

Pawcatuck, CT · On-site +1

This position can potentially be remote based within the United States, or most European Countries ... Significant experience in the design and manufacture of Active Magnetic Bearing systems ...

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All JobsComputational Design JobsRemote Computational Design JobsRemote Computational Design Jobs in Connecticut

Remote Computational Design information

How do remote computational designers typically collaborate with multidisciplinary teams to ensure project success?

Remote computational designers often work closely with architects, engineers, and software developers through digital collaboration tools such as BIM platforms, cloud-based modeling software, and video conferencing. Regular virtual meetings, shared digital workspaces, and clear documentation help maintain effective communication and project alignment. To overcome challenges posed by physical distance, it's important for remote designers to be proactive in updates, responsive to feedback, and adaptable to different time zones. This collaborative approach ensures that design intents are accurately translated into computational models and that all team members stay informed throughout the project lifecycle.

What are the key skills and qualifications needed to thrive as a remote computational designer, and why are they important?

To thrive as a Remote Computational Designer, you need expertise in computational geometry, algorithm development, and digital modeling, usually backed by a degree in architecture, engineering, or a related field. Proficiency with tools such as Grasshopper, Rhino, Dynamo, and programming languages like Python or C# is essential, along with familiarity with collaboration platforms. Strong problem-solving, communication, and self-management skills help you excel in remote settings and interdisciplinary teams. These skills are crucial for creating innovative design solutions, efficiently collaborating across distances, and meeting complex project requirements.

What is remote computational design?

Remote computational design refers to the use of algorithms, programming, and digital tools to create and optimize design solutions while working from a location outside of a traditional office. Professionals in this field leverage software like Grasshopper, Rhino, or Autodesk Dynamo to automate and enhance the design process for architecture, engineering, or product development. Working remotely, these designers collaborate with teams and clients through digital communication platforms, enabling flexibility and global cooperation.
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Remote Computational Design jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Hartford, CT • Remote

$90 - $120/hr

Part-time

Posted 9 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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