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Data Scientist R Remote Jobs in St Louis, MO (NOW HIRING)

Safety National

Actuary Manager (Remote)

Saint Louis, MO · On-site +1

$160K - $211K/yr

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related field is ... Experience with SQL, VBA, Power BI, and Python or R. * Experience pricing individual large ...

S2Tech

OnBase Developer (Remote)

Chesterfield, MO · On-site +1

Remote - U.S. About Us : Known for "Delighting the Client" through performance, innovation, and an ... Collaborate with technical teams on data exchange, interface troubleshooting, and performance ...

Stride, Inc.

High School Science Teacher

Saint Louis, MO · Remote

$47K - $60K/yr

This position is remote and strongly prefers candidates that reside in Missouri. May consider ... Student success will be measured by valid and reliable assessment data, parent and student ...

Stride, Inc.

High School Science Teacher

Saint Louis, MO · Remote

$47K - $60K/yr

This position is remote and strongly prefers candidates that reside in Missouri. May consider ... Student success will be measured by valid and reliable assessment data, parent and student ...

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Showing results 21-40

All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in St. Louis, MO

Data Scientist R Remote information

See St Louis, MO salary details

$36.5K

$119.3K

$191K

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

As of Aug 7, 2026, the average yearly pay for data scientist r remote in St. Louis, MO is $119,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

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

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in St. Louis, MO? For Data Scientist R Remote jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in St. Louis, MO look for? The top searched job categories for Data Scientist R Remote jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Data Scientist R Remote jobs? Cities near St. Louis, MO with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Infographic showing various Data Scientist R Remote job openings in St. Louis, MO as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $119,330 per year, or $57.4 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Saint Louis, MO • On-site, Remote

$90 - $120/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. 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. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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