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Remote Flex Schedule Data Analysis Jobs in Indiana

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to ...

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... toward deeper analytics, insights, and AI-driven capabilities, data engineering is becoming a ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

SAP Data Solution Architect

Indianapolis, IN · Remote

$78.50 - $105.75/hr

... remote basis. In this role, you will make an impact in the following ways: * Define system ... Conduct complex cost/benefit analyses to evaluate and recommend future-state capabilities. * Lead ...

SAP Data Solution Architect

Indianapolis, IN · Remote

$78.50 - $105.75/hr

... remote basis. In this role, you will make an impact in the following ways: * Define system ... Conduct complex cost/benefit analyses to evaluate and recommend future-state capabilities. * Lead ...

SAP Data Solution Architect

Indianapolis, IN · Remote

$78.50 - $105.75/hr

... remote basis. In this role, you will make an impact in the following ways: * Define system ... Conduct complex cost/benefit analyses to evaluate and recommend future-state capabilities. * Lead ...

Schedule: flexible based on assignment Travel: ~ 90%, sometimes up to 100% based on assignment ... Requires analytical and quantitative skills with proven experience in developing strategic ...

Showing results 41-60

Remote Flex Schedule Data Analysis information

What is the difference between Remote Flex Schedule Data Analysis vs Remote Flex Schedule Data Scientist?

AspectRemote Flex Schedule Data AnalysisRemote Flex Schedule Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related fieldBachelor's or higher in Data Science, Computer Science, or related field
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, research and model development
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Remote Flex Schedule Data Analysis involves analyzing data sets to derive insights, often focusing on reporting and business decisions. Remote Flex Schedule Data Scientist typically develops models, algorithms, and predictive analytics, requiring more advanced technical skills. Both roles are remote with flexible hours and are used across various industries, but Data Scientists usually have higher technical credentials and focus on complex modeling tasks.

What are popular job titles related to Remote Flex Schedule Data Analysis jobs in Indiana?

For Remote Flex Schedule Data Analysis jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Flex Schedule Data Analysis jobs in Indiana look for?

The top searched job categories for Remote Flex Schedule Data Analysis jobs in Indiana are:

Infographic showing various Remote Flex Schedule Data Analysis job openings in Indiana as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

South Bend, IN • On-site, Remote

$90 - $120/hr

Part-time

Posted 19 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.