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Remote Manufacturing Data Scientist Jobs in Springfield, MO

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ...

Biostatistician

Springfield, MO · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Showing results 21-29

Remote Manufacturing Data Scientist information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

How much do remote manufacturing data scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote manufacturing data scientist in Springfield, MO is $111,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 per year, depending on experience, location, and employer.

What does a remote manufacturing data scientist do?

A Remote Manufacturing Data Scientist analyzes large sets of manufacturing data to uncover insights, optimize processes, and support decision-making, all while working offsite. They use statistical methods, machine learning, and data visualization tools to identify patterns, predict equipment failures, and recommend improvements for efficiency and quality. Collaborating with engineering and production teams, they help implement data-driven solutions without being physically present at the manufacturing facility. Their work contributes to reducing costs, improving productivity, and ensuring product quality in the manufacturing sector.

What are the key skills and qualifications needed to thrive as a remote manufacturing data scientist?

To thrive as a Remote Manufacturing Data Scientist, you need expertise in data analytics, statistical modeling, and a solid educational background in fields like computer science, engineering, or statistics. Familiarity with programming languages (such as Python or R), machine learning platforms, and manufacturing-specific systems like ERP or MES is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies enable you to extract actionable insights from complex manufacturing data, driving process improvements and operational efficiency from a remote setting.

How does a remote manufacturing data scientist typically collaborate with onsite engineering and production teams?

As a Remote Manufacturing Data Scientist, collaboration with onsite teams is often facilitated through regular virtual meetings, shared dashboards, and collaborative project management tools. You may analyze production data, develop predictive models, and then present insights and recommendations to engineers and plant managers via video calls or detailed reports. Building strong communication skills and familiarity with digital collaboration platforms is essential for bridging the gap between remote analytics and hands-on manufacturing processes. Proactively seeking feedback and clarifying technical requirements with onsite teams ensures your data-driven solutions are both practical and impactful.

What is the difference between Remote Manufacturing Data Scientist vs Remote Manufacturing Engineer?

AspectRemote Manufacturing Data ScientistRemote Manufacturing Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in data analysis toolsDegree in Mechanical, Industrial, or Manufacturing Engineering; technical skills in manufacturing processes
Work EnvironmentPrimarily analytical, working with data sets and software tools remotelyFocus on process design, optimization, and technical implementation, often involving remote collaboration
Industry UsageUsed across manufacturing sectors for data-driven decision makingApplied in designing and improving manufacturing systems and processes

The main difference is that a Remote Manufacturing Data Scientist focuses on analyzing manufacturing data to inform decisions, while a Remote Manufacturing Engineer concentrates on designing and optimizing manufacturing processes. Both roles may work remotely and require technical expertise, but their core responsibilities differ significantly.

What are the most commonly searched types of Manufacturing Data Scientist jobs in Springfield, MO?

The most popular types of Manufacturing Data Scientist jobs in Springfield, MO are:

What are popular job titles related to Remote Manufacturing Data Scientist jobs in Springfield, MO?

For Remote Manufacturing Data Scientist jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Remote Manufacturing Data Scientist jobs in Springfield, MO look for?

The top searched job categories for Remote Manufacturing Data Scientist jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Manufacturing Data Scientist jobs?

Cities near Springfield, MO with the most Remote Manufacturing Data Scientist job openings:

Medical Writing Manager

micro1 AI

Springfield, MO • Remote

$50 - $80/hr

Part-time

Posted 17 days ago


Job description

Role Title: Medical Writer / Clinical Document Author


Role Type: Contractor


Location: Remote


micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer’s project focused on developing advanced AI-assisted writing tools for clinical documentation. 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 realistic evaluation tasks based on Clinical Study Reports, DSURs, PSURs/PBRERs, and related clinical documents to inform AI tool development.
  2. Apply expert judgment to assess whether AI-generated content fulfills clinical template and structural requirements, including ICH E3 organization, section sequencing, cross-referencing, and appendix management.
  3. Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion, and conclusions, distinguishing true scientific or interpretive errors from stylistic differences.
  4. Trace narrative claims to source records—tables, figures, listings, and protocols—to verify that all assertions are appropriately supported.
  5. Provide clear and structured written rationales for each assessment, enabling precise diagnosis and improvement of AI model behavior.
  6. Collaborate with project leads to refine evaluation frameworks and document best practices for clinical regulatory writing in the context of AI.


Preferred Qualifications

  1. Minimum 5 years of regulatory medical writing experience at a sponsor, CRO, or as an independent consultant.
  2. Direct experience independently authoring or leading the authoring of full Clinical Study Reports, beyond summaries or partial contributions.
  3. Fluency with ICH E3 and conventions for periodic safety documentation (ICH E2F, ICH E2C) and eCTD placement.
  4. Demonstrated ability to read and interpret TFLs and protocol documents, identifying where narrative diverges from source data.
  5. Exceptional written and verbal communication skills, especially in providing structured, actionable feedback on clinical content.
  6. Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience.
  7. Experience across multiple clinical phases and therapeutic areas; oncology and haematology expertise is especially valued.


Join our customer's team and leverage your authoring expertise to help design the next generation of AI-assisted clinical documentation solutions. This high-bar role offers you the chance to shape how tomorrow's writing teams draft and review regulatory documents — through your expert input, judgment, and real-world experience.