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Data Science R Jobs in Sioux Falls, SD (NOW HIRING)

Data Engineer

Sioux Falls, SD · On-site

$113K - $136K/yr

These systems will combine data from all corners of the business and enable research scientists ... Excellent coding skills, including python, R, C#, SQL, and Java * The ability to create ELT ...

Data Engineer

Sioux Falls, SD · On-site

$113K - $136K/yr

These systems will combine data from all corners of the business and enable research scientists ... Excellent coding skills, including python, R, C#, SQL, and Java * The ability to create ELT ...

Data Engineer

Sioux Falls, SD · On-site

$113K - $136K/yr

These systems will combine data from all corners of the business and enable research scientists ... Excellent coding skills, including python, R, C#, SQL, and Java * The ability to create ELT ...

Source, construct, and curate authentic datasets including trial data, patient records, and ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

Biostatistician

Sioux Falls, SD · Remote

$60 - $100/hr

Source, construct, and curate authentic datasets including trial data, patient records, and ... Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological ...

R. Berkley Corporation. We believe focusing on an injured worker's successful and speedy return to ... Our unique marriage of technology, software platforms, data analytics and professional services ...

R. Berkley Corporation. We believe focusing on an injured worker's successful and speedy return to ... Our unique marriage of technology, software platforms, data analytics and professional services ...

R. Berkley Corporation. We believe focusing on an injured worker's successful and speedy return to ... Our unique marriage of technology, software platforms, data analytics and professional services ...

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Data Science R information

See Sioux Falls, SD salary details

$37.3K

$122.1K

$195.5K

How much do data science r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science r in Sioux Falls, SD is $122,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $135,300.00 per year, depending on experience, location, and employer.

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are popular job titles related to Data Science R jobs in Sioux Falls, SD?

For Data Science R jobs in Sioux Falls, SD, the most frequently searched job titles are:

Infographic showing various Data Science R job openings in Sioux Falls, SD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,108 per year, or $58.7 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Sioux Falls, SD • Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.