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Python R Jobs in Atlanta, GA (NOW HIRING)

Knowledge and understanding of Python and R programming is helpful but not required. EHA offers a competitive benefits package to include: paid holidays, paid time off including sick and vacation ...

Proficiency in Python, R, or Julia * Strong understanding of machine learning algorithms and their applications * Experience with SQL and database querying * Experience with data visualization tools ...

Experience writing code in Python, R, Scala, and distributed computing technologies like Spark. Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.

Proficient programming skills in Python, R, or similar preferred * Well versed with man-made accumulation risks state of knowledge * Experience applying actuarial expertise in catastrophe modeling ...

Preferred : • Python, R, or SQL --- scripting and querying at production scale. • Software Development Principles: version control (Git), CI/CD, API integration. • Familiarity with ...

SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business ...

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using ...

Showing results 21-40

Python R information

See Atlanta, GA salary details

$12

$56

$82

How much do python r jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python r in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is a Python R?

A Python R job typically involves working with both Python and R programming languages for data analysis, machine learning, and statistical computing. Professionals in this role use Python for automation, data engineering, and machine learning, while leveraging R for statistical modeling and data visualization. These roles are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Candidates for this job should have expertise in both languages, along with skills in data manipulation, visualization, and algorithm development.

What are the typical responsibilities of a professional working with both Python and R programming languages?

Professionals leveraging both Python and R often handle a variety of data-centric tasks, including data cleaning, analysis, statistical modeling, and visualization to support business or research objectives. Daily responsibilities can range from developing machine learning models in Python, creating reproducible analyses in R, to integrating outputs for reporting and presentations. Collaboration with data engineers, domain experts, or business stakeholders is common, requiring effective communication to translate technical insights into actionable recommendations. Familiarity with both languages allows for flexibility in choosing the best tools for each project, making these roles both challenging and rewarding.

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

To thrive as a Python R professional, you need a strong background in programming, data analysis, and statistical modeling, typically holding a degree in computer science, statistics, mathematics, or a related field. Proficiency in Python and R programming languages, alongside experience with data visualization tools (e.g., Matplotlib, ggplot2) and statistical packages, is essential; certifications like Data Science or Analytics credentials are often advantageous. Excellent problem-solving abilities, attention to detail, and clear communication skills help in collaborating with teams and conveying complex results. These combined skills enable effective data-driven decision-making, efficient workflow, and impactful data solutions.

What are the most commonly searched types of Python R jobs in Atlanta, GA? The most popular types of Python R jobs in Atlanta, GA are:
Infographic showing various Python R job openings in Atlanta, GA as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $117,257 per year, or $56.4 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Sandy Springs, GA • Remote

$90 - $120/hr

Part-time

Posted 13 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.