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Remote Clinical Data Scientist Jobs in Springfield, MO

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 ...

IT Support Supervisor

Springfield, MO · Remote

$80K - $115K/hr

We are seeking an experienced IT Support Supervisor to lead a remote team focused on IT training, ... Support system stability, application readiness, data integrity, and compliance requirements

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Remote micro1 is engaging Regulatory Affairs Specialists to contribute to a customer's project ... Apply expert judgment to review clinical documentation, assessing whether conclusions are ...

Our workforce includes caregivers, clinicians, administrative teams, and remote workers nationwide. With seven interconnected EMR platforms feeding data into UKG, our payroll environment is highly ...

Remote micro1 is engaging Regulatory Affairs Specialists to contribute to a customer's project ... Apply expert judgment to review clinical documentation, assessing whether conclusions are ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Biostatistician

Springfield, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Showing results 21-40

Remote Clinical Data Scientist information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

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

As of Aug 21, 2026, the average yearly pay for remote clinical 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 is a remote clinical data scientist?

A Remote Clinical Data Scientist is a professional who analyzes and interprets complex clinical data related to healthcare studies, treatments, and outcomes, while working from a remote location. They use statistical methods, programming languages, and data management tools to ensure the quality and integrity of clinical trial data. Their work supports clinical research, drug development, and regulatory submissions by providing crucial insights and data-driven recommendations. Remote Clinical Data Scientists often collaborate with clinical teams, biostatisticians, and regulatory professionals using digital communication tools.

How does a remote clinical data scientist typically collaborate with clinical and research teams despite working off-site?

Remote Clinical Data Scientists often work closely with cross-functional teams, including clinicians, biostatisticians, and data managers, using digital collaboration tools such as video conferencing, shared cloud platforms, and secure data repositories. Regular virtual meetings and clear communication protocols help ensure alignment on project goals, data requirements, and analysis timelines. Building strong relationships remotely may require proactive communication and flexibility, but it also allows for efficient collaboration across multiple time zones and institutions. This structure supports seamless participation in data review meetings, protocol discussions, and results interpretation, fostering an inclusive team environment.

What are the key skills and qualifications needed to thrive as a remote clinical data scientist, and why are they important?

To thrive as a Remote Clinical Data Scientist, you need expertise in biostatistics, clinical research methods, data analysis, and typically a graduate degree in a related field. Proficiency in statistical programming languages like R or Python, knowledge of clinical trial data management systems, and familiarity with regulatory requirements such as CDISC standards are essential. Exceptional communication, problem-solving abilities, and attention to detail help you collaborate across multidisciplinary teams and ensure data integrity. These skills ensure accurate interpretation of clinical data, support regulatory compliance, and drive successful outcomes in remote healthcare research environments.

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

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

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

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

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

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

Infographic showing various Remote Clinical Data Scientist job openings in Springfield, MO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,646 per year, or $53.7 per hour.

Director of Biostatistics

micro1 AI

Springfield, MO • Remote

$60 - $100/hr

Part-time

Posted 14 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. 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. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.