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Remote Product Data Scientist Jobs in Indiana (NOW HIRING)

Circle

Staff Software Engineer, Data Platform

Austin, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Miami, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Boston, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

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All JobsProduct Data Scientist JobsRemote Product Data Scientist JobsRemote Product Data Scientist Jobs in Indiana

Remote Product Data Scientist information

What is the difference between Remote Product Data Scientist vs Remote Data Analyst?

AspectRemote Product Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Statistics, Mathematics, or related field; proficiency in data visualization
Work EnvironmentCollaborates with product teams, engineers, and stakeholders on product developmentSupports business decisions by analyzing data, often across departments
Employer & Industry UsageTech companies, e-commerce, SaaS firms focusing on product optimizationRetail, finance, marketing agencies analyzing business performance

Remote Product Data Scientists focus on developing models and insights to improve products, working closely with product teams. Remote Data Analysts primarily interpret data to support business decisions across various departments. While both roles require strong analytical skills, the Product Data Scientist emphasizes machine learning and product impact, whereas the Data Analyst concentrates on reporting and data visualization.

What are popular job titles related to Remote Product Data Scientist jobs in Indiana? For Remote Product Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Product Data Scientist jobs in Indiana look for? The top searched job categories for Remote Product Data Scientist jobs in Indiana are:
Remote Product Data Scientist jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Carmel, IN • Remote

$90 - $120/hr

Part-time

Posted 11 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