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Remote Python Data Analysis Jobs in Indianapolis, IN

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

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Remote Python Data Analysis information

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$12

$56

$82

How much do remote python data analysis jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote python data analysis in Indianapolis, IN is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.65 per hour, depending on experience, location, and employer.

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The most popular types of Python Data Analysis jobs in Indianapolis, IN are:

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For Remote Python Data Analysis jobs in Indianapolis, IN, the most frequently searched job titles are:

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What cities near Indianapolis, IN are hiring for Remote Python Data Analysis jobs?

Cities near Indianapolis, IN with the most Remote Python Data Analysis job openings:

Infographic showing various Remote Python Data Analysis job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,551 per year, or $56 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Fishers, IN • Remote

$90 - $120/hr

Part-time

Posted 23 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.