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Weekend Data Science R Jobs in Freeport, IL (NOW HIRING)

micro1 AI

Biostatistician

Rockford, IL · 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 ...

micro1 AI

Director of Biostatistics

Rockford, IL · 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 ...

Rockford Ball Screw

Quality Engineer

Rockford, IL · On-site

$70K - $90K/yr

Perform Gage R&R Studies, as required. * Develop and maintain manufacturing inspection plans, data ... Occasional evening and weekend work may be required to meet business demands. Compensation Our ...

Rockford Ball Screw Co.

Quality Engineer

Rockford, IL · On-site

$70K - $90K/yr

Perform Gage R&R Studies, as required. * Develop and maintain manufacturing inspection plans, data ... Occasional evening and weekend work may be required to meet business demands. Compensation Our ...

Rockford Ball Screw

Quality Engineer

Rockford, IL · On-site

$70K - $90K/yr

Perform Gage R&R Studies, as required. * Develop and maintain manufacturing inspection plans, data ... Occasional evening and weekend work may be required to meet business demands. Compensation Our ...

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Weekend Data Science R information

See Freeport, IL salary details

$35.3K

$115.4K

$184.7K

How much do weekend data science r jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend data science r in Freeport, IL is $115,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.
Weekend Data Science R jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Rockford, IL • Remote

$90 - $120/hr

Part-time

Posted 25 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.

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