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Remote Director Of Manufacturing Operations Jobs in Springfield, MO

micro1 AI

Director of Biostatistics

Springfield, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or ...

micro1 AI

Director of Biostatistics

Springfield, MO · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Scope of Work * Design and author expert-level evaluation tasks simulating real-world biostatistics ...

Liveops

Remote Customer Service Agent

Springfield, MO · Remote

$14 - $18.75/hr

Complete a W-9 form and set up direct deposit. * Complete client-specific certification ... Flexible scheduling; client hours of operation vary. * Availability expectations differ by client ...

Talkiatry

Remote Therapist - Missouri

Springfield, MO · Remote

Full operational support including scheduling, billing, intake coordination, credentialing, and ... self-directed 1099/Private Practice. You will be a part of our team! Compensation, Benefits ...

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All JobsOf Manufacturing Operations JobsRemote Director Of Manufacturing Operations JobsRemote Director Of Manufacturing Operations Jobs in Springfield, MO

Remote Director Of Manufacturing Operations information

See Springfield, MO salary details

$30.9K

$97.9K

$163.3K

How much do remote director of manufacturing operations jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote director of manufacturing operations in Springfield, MO is $97,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $123,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Director Of Manufacturing Operations vs Remote Manufacturing Manager?

AspectRemote Director Of Manufacturing OperationsRemote Manufacturing Manager
ResponsibilitiesOversees multiple manufacturing facilities, strategic planning, and high-level operations managementManages daily production, team supervision, and process improvements at a specific plant or line
Required CredentialsBachelor's/Master's in Engineering, Business, or related; extensive experience in manufacturing leadershipBachelor's in Engineering, Manufacturing, or related; experience in production management
Work EnvironmentCorporate offices, multiple plant sites, often remote with travelManufacturing plants, production floors, primarily on-site or remote supervision

The Remote Director Of Manufacturing Operations focuses on strategic oversight and managing multiple facilities, while the Remote Manufacturing Manager handles daily operations and team management at specific sites. Both roles require relevant engineering or management credentials, but the director position involves broader strategic responsibilities across the manufacturing network.

What job categories do people searching Remote Director Of Manufacturing Operations jobs in Springfield, MO look for?

The top searched job categories for Remote Director Of Manufacturing Operations jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Director Of Manufacturing Operations jobs?

Cities near Springfield, MO with the most Remote Director Of Manufacturing Operations job openings:

Remote Director Of Manufacturing Operations jobs near you

Director of Biostatistics

micro1 AI

Springfield, MO • Remote

$60 - $65/hr

Part-time

Posted 14 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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