2

Remote Project Engineer Jobs in Manchester, CT (NOW HIRING)

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 ...

We are seeking a skilled Structural Engineer for a remote forensic engineering position in a fast ... The role requires strong project management and analytical skills, attention to detail, and the ...

We are seeking a skilled Structural Engineer for a remote forensic engineering position in a fast ... The role requires strong project management and analytical skills, attention to detail, and the ...

While this is a full remote position, there is preference for candidates located in the Northern ... Manage project materials, construction design packages, and technical issue resolution while ...

Showing results 21-40

Remote Project Engineer information

See Manchester, CT salary details

$45.5K

$91.5K

$137.4K

How much do remote project engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote project engineer in Manchester, CT is $91,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $104,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the remote project engineer position, and why are they important?

To thrive as a Remote Project Engineer, you need a solid background in engineering principles, project management experience, and a relevant degree, such as in civil, mechanical, or electrical engineering. Familiarity with project management software (like MS Project or Asana), CAD tools, and industry certifications such as PMP or PE are typically required. Strong self-motivation, remote communication skills, and the ability to manage time and tasks independently are standout soft skills for this role. These abilities ensure effective project delivery, seamless remote collaboration, and high productivity in virtual teams.

What is a remote project engineer?

A Remote Project Engineer is responsible for managing and coordinating engineering projects while working from a remote location. They collaborate with teams, oversee project timelines, and ensure that technical specifications are met. Communication, problem-solving, and project management skills are essential for success. This role often involves using digital tools to track progress and facilitate virtual teamwork.

What are typical daily responsibilities for a remote project engineer?

As a Remote Project Engineer, your daily routine usually includes coordinating project timelines, monitoring progress, and communicating with multidisciplinary teams via virtual meetings and collaboration platforms. You may also spend significant time preparing technical documentation, reviewing designs or plans, and troubleshooting project-related issues remotely. Effective time management is important, as you’ll need to balance independent tasks with responding to stakeholders across different locations and potentially multiple time zones. This role is dynamic and requires adaptability as priorities shift and new challenges arise throughout the project lifecycle.

What are the most commonly searched types of Project Engineer jobs in Manchester, CT?

The most popular types of Project Engineer jobs in Manchester, CT are:

What cities near Manchester, CT are hiring for Remote Project Engineer jobs?

Cities near Manchester, CT with the most Remote Project Engineer job openings:

Infographic showing various Remote Project Engineer job openings in Manchester, CT as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $91,550 per year, or $44 per hour.

Bioinformatics Software Engineer

micro1 AI

Waterbury, CT • Remote

$80 - $110/hr

Part-time

Posted 11 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.