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Remote Science Project Management Jobs in Enfield, CT

Revvity

Sr. Tax Manager (REMOTE)

Hartford, CT · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Excellent analytical, communication, and project management skills. * Strategic thinker and can ...

Lochner

Structures - Rail Project Engineer

East Hartford, CT · On-site +1

$78K - $105K/yr

Support project management tasks including budgeting, scheduling, and client communication ... Flexible Work Schedules (Hybrid or Remote, when possible) * Wellness Program for Physical and ...

micro1 AI

Physics Modeling Expert - Remote

Hartford, CT · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

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Remote Science Project Management information

See Enfield, CT salary details

$38.6K

$82.5K

$153.2K

How much do remote science project management jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote science project management in Enfield, CT is $82,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $103,500.00 per year, depending on experience, location, and employer.

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 Enfield, CT?

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

What job categories do people searching Remote Science Project Management jobs in Enfield, CT look for?

The top searched job categories for Remote Science Project Management jobs in Enfield, CT are:

What cities near Enfield, CT are hiring for Remote Science Project Management jobs?

Cities near Enfield, CT with the most Remote Science Project Management job openings:

Remote Science Project Management jobs near you
Infographic showing various Remote Science Project Management job openings in Enfield, CT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,455 per year, or $39.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Springfield, MA • Remote

$80 - $110/hr

Part-time

Posted 17 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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