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Remote Project Engineer Jobs in Springfield, IL (NOW HIRING)

micro1 AI

Director of Biostatistics

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

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Remote Project Engineer information

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$44.6K

$89.8K

$134.8K

How much do remote project engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote project engineer in Springfield, IL is $89,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $102,600.00 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 Springfield, IL?

The most popular types of Project Engineer jobs in Springfield, IL are:

What are popular job titles related to Remote Project Engineer jobs in Springfield, IL?

For Remote Project Engineer jobs in Springfield, IL, the most frequently searched job titles are:

What cities near Springfield, IL are hiring for Remote Project Engineer jobs?

Cities near Springfield, IL with the most Remote Project Engineer job openings:

Remote Project Engineer jobs near you
Infographic showing various Remote Project Engineer job openings in Springfield, IL as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,838 per year, or $43.2 per hour.

Director of Biostatistics

micro1 AI

Springfield, IL • Remote

$60 - $65/hr

Part-time

Posted 10 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. 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. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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