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Remote Data Scientist Energy Jobs in Indiana (NOW HIRING)

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

You will go deep into customer problems, understand the role of networks and use of data in solving ... Flexible work options are available (Remote/Hybrid, with travel as required). You will make a ...

Showing results 41-60

Remote Data Scientist Energy information

What is the difference between Remote Data Scientist Energy vs Remote Data Scientist Oil & Gas?

AspectRemote Data Scientist EnergyRemote Data Scientist Oil & Gas
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; certifications like AWS, Python, RBachelor's/Master's in Data Science, Petroleum Engineering, or related; similar certifications
Work EnvironmentEnergy companies, renewable energy firms, utilities; remote options commonOil & gas corporations, exploration firms; remote work increasingly available
Industry UsageAnalyzing energy consumption, renewable projects, grid optimizationExploration data, drilling optimization, production forecasting

Remote Data Scientist Energy and Remote Data Scientist Oil & Gas roles share similar qualifications and work environments, focusing on energy data analysis. The main difference lies in industry focus: renewable and energy efficiency projects versus traditional oil and gas exploration and production. Both roles require strong data skills and often offer remote work options, but their specific applications and datasets differ based on industry needs.

What are the most commonly searched types of Data Scientist Energy jobs in Indiana? The most popular types of Data Scientist Energy jobs in Indiana are:
What are popular job titles related to Remote Data Scientist Energy jobs in Indiana? For Remote Data Scientist Energy jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Remote Data Scientist Energy jobs? Cities in Indiana with the most Remote Data Scientist Energy job openings:
Infographic showing various Remote Data Scientist Energy job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Evansville, IN • On-site, Remote

$90 - $120/hr

Part-time

Posted 14 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.