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Remote Working Engineering Jobs in Macon, GA (NOW HIRING)

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Hands-on experience producing or quality controlling TFLs for regulatory submissions and working ...

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Remote Working Engineering information

See Macon, GA salary details

$31.2K

$60.4K

$91.6K

How much do remote working engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote working engineering in Macon, GA is $60,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,100.00 and $69,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Working Engineering vs Remote Working Software Developer?

AspectRemote Working EngineeringRemote Working Software Developer
Required CredentialsBachelor's in Engineering or related field, certifications vary by specializationBachelor's in Computer Science or related field, coding certifications optional
Work EnvironmentDesign, analyze, and develop engineering systems remotelyWrite, test, and deploy software applications remotely
Industry UsageEngineering firms, manufacturing, infrastructure projectsTech companies, startups, software firms
Common Search IntentRemote engineering jobs, engineering roles onlineRemote software developer jobs, coding roles online

Remote Working Engineering involves designing and analyzing engineering systems remotely, often requiring engineering-specific credentials. Remote Working Software Developer focuses on coding and software development, typically needing programming skills. Both roles are performed remotely but serve different industry needs and skill sets.

How do remote working engineers typically collaborate with team members across different time zones?

Remote working engineers often collaborate with colleagues in various time zones by leveraging asynchronous communication tools like Slack, Jira, and email, as well as scheduling regular video meetings at overlapping hours. They rely on clear documentation, shared code repositories, and project management platforms to keep everyone aligned. This structure encourages proactive communication and flexibility, allowing engineers to manage their own schedules while ensuring project continuity and teamwork.

What are the key skills and qualifications needed to thrive as a remote working engineer?

To thrive as a Remote Working Engineer, you need a strong background in engineering fundamentals, problem-solving abilities, and a relevant degree or certification in your engineering discipline. Familiarity with collaborative platforms like Git, project management tools (e.g., Jira, Trello), and cloud-based systems is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for remote collaboration and productivity. These skills and qualities enable engineers to deliver quality work independently while staying connected and effective within distributed teams.

What is remote working engineering?

Remote working engineering refers to the practice of engineers performing their job duties from locations outside of a traditional office, often from home or other remote environments. This arrangement leverages digital tools and collaboration platforms to design, develop, test, and maintain engineering projects. Remote engineers may work in fields such as software, mechanical, civil, or electrical engineering, and need strong communication and self-management skills. The flexibility of remote work can improve work-life balance, but also requires discipline and effective time management.
What job categories do people searching Remote Working Engineering jobs in Macon, GA look for? The top searched job categories for Remote Working Engineering jobs in Macon, GA are:

Director of Biostatistics

micro1 AI

Macon, GA • Remote

$60 - $65/hr

Part-time

Posted 3 days ago

New


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.