2

Remote Science Project Management Jobs in Connecticut

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Stamford, CT · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Showing results 41-60

Remote Science Project Management information

What is remote science project management?

Remote science project management involves overseeing and coordinating scientific research projects from a location outside of the traditional office or laboratory setting. This role includes planning, organizing, and monitoring project progress, managing teams, ensuring deadlines are met, and facilitating communication among researchers and stakeholders using digital tools. Remote science project managers must be adept at virtual collaboration, project tracking, and problem-solving to ensure the successful completion of scientific objectives. This role is increasingly common as organizations adopt flexible and distributed work models.

How does a remote science project manager effectively coordinate with distributed research teams and stakeholders?

Remote science project managers typically rely on a combination of virtual collaboration tools, regular video meetings, and detailed project management software to keep all team members aligned. They spend a significant portion of their time facilitating communication among scientists, engineers, and external partners, ensuring that everyone stays updated on project milestones and deliverables. It’s common to face challenges like different time zones, varied work cultures, and ensuring data security, but establishing clear communication protocols and regular check-ins can help overcome these hurdles. Building strong relationships remotely and proactively addressing potential roadblocks are key to project success in this setting.

What are the key skills and qualifications needed to thrive as a remote science project manager, and why are they important?

To thrive as a Remote Science Project Manager, you need a solid background in scientific research or engineering, project management experience, and often a relevant degree such as a STEM or Project Management qualification. Familiarity with project management tools like Asana, Trello, or Microsoft Project, as well as proficiency in virtual collaboration platforms, is typically required. Strong communication, organization, and leadership skills are crucial for coordinating remote teams and managing complex timelines. These abilities ensure that scientific projects are completed efficiently, on time, and with effective collaboration across distributed teams.

What is the difference between Remote Science Project Management vs Remote Research Coordinator?

AspectRemote Science Project ManagementRemote Research Coordinator
Required CredentialsScience or related degree, project management certifications (e.g., PMP)Science or related degree, research-specific certifications often preferred
Work EnvironmentOversees projects, manages teams remotely, collaborates with scientists and stakeholdersCoordinates research activities, manages data collection, communicates with research teams remotely
Employer & Industry UsageResearch institutions, biotech, pharma, universitiesResearch institutions, labs, academic settings

Remote Science Project Management focuses on overseeing scientific projects, managing teams, and ensuring project goals are met. Remote Research Coordinators handle research activities, data management, and support research teams. Both roles require scientific backgrounds but differ in scope and responsibilities.

What are popular job titles related to Remote Science Project Management jobs in Connecticut?

For Remote Science Project Management jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Science Project Management jobs in Connecticut look for?

The top searched job categories for Remote Science Project Management jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Science Project Management jobs?

Cities in Connecticut with the most Remote Science Project Management job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Stamford, CT • Remote

$90 - $120/hr

Part-time

Posted 24 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.