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Data Scientist R Remote Jobs in Southfield, MI (NOW HIRING)

Kla

Full-Stack Software Engineer - Remote Services

Ann Arbor, MI · Remote

$105K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work ... This role is crucial in ensuring our remote service software products are robust, secure, and user ...

New

Orbotech

Full-Stack Software Engineer - Remote Services

Ann Arbor, MI · Remote

$105K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work ... This role is crucial in ensuring our remote service software products are robust, secure, and user ...

New

Arbor Research

Cloud Data Architect

Ann Arbor, MI · On-site +1

$107K - $176K/yr

... in Python, R, and SQL, and data-driven decision making. * Enable secure, automated delivery of ... Required Qualifications • Bachelor's or Master's degree in Computer Science, Information Systems ...

Kla

Software Engineering Manager - Remote Services

Ann Arbor, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work ... You will own the delivery, quality, and security of the remote service platform, ensuring our ...

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Showing results 21-40

All JobsData Scientist R JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Southfield, MI

Data Scientist R Remote information

See Southfield, MI salary details

$34.4K

$112.6K

$180.3K

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

As of Aug 12, 2026, the average yearly pay for data scientist r remote in Southfield, MI is $112,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $124,800.00 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 Southfield, MI? For Data Scientist R Remote jobs in Southfield, MI, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Southfield, MI look for? The top searched job categories for Data Scientist R Remote jobs in Southfield, MI are:
What cities near Southfield, MI are hiring for Data Scientist R Remote jobs? Cities near Southfield, MI 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 Southfield, MI as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $112,595 per year, or $54.1 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Ann Arbor, MI • Remote

$90 - $120/hr

Part-time

Posted 16 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.

Apply