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Ai And Jobs in Indiana (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Conduct qualitative and quantitative chemical analyses and experiments to support product development ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Conduct qualitative and quantitative chemical analyses and experiments to support product development ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments ...

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Ai And information

What is an AI and machine learning professional?

AI and Machine Learning professionals are experts who design, develop, and implement artificial intelligence systems and algorithms that enable machines to learn from data and make decisions. Their work often involves programming, data analysis, and research to create intelligent applications such as chatbots, recommendation engines, and image recognition systems. These professionals may work in various industries, helping organizations automate processes, improve efficiency, and gain valuable insights from data. The field is continually evolving, requiring ongoing learning and adaptation to new technologies.

What are the key skills and qualifications needed to thrive as an AI analyst?

To thrive as an AI Analyst, you need strong analytical skills, a background in statistics or computer science, and experience with data analysis, often supported by a relevant degree. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are important soft skills for translating complex data into actionable insights. These abilities are crucial for interpreting large data sets, informing strategic decisions, and enabling organizations to leverage AI effectively.

What are some common challenges faced by AI analysts when integrating new AI solutions into existing business processes?

AI Analysts often encounter challenges such as aligning AI solutions with current business workflows, ensuring data quality and availability, and gaining stakeholder buy-in. They may also need to collaborate closely with IT and operations teams to address technical compatibility and change management issues. Successfully navigating these challenges requires strong communication skills, adaptability, and a proactive approach to problem-solving.

What is the difference between Ai And and Data Analyst?

AspectAi AndData Analyst
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in AI or machine learning are commonUsually requires a degree in statistics, mathematics, or related fields; certifications in data analysis or visualization tools are beneficial
Work EnvironmentOften works in tech companies, AI startups, or R&D departments, focusing on developing AI modelsWorks across various industries in offices or remote settings, analyzing data to inform business decisions
Employer & Industry UsageUsed mainly in technology, research, and AI-focused companiesWidely used across finance, healthcare, marketing, and other sectors

While both Ai And and Data Analyst roles involve working with data, Ai And focuses on developing artificial intelligence systems, whereas Data Analysts interpret data to support business strategies. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Ai And jobs in Indiana?

The most popular types of Ai And jobs in Indiana are:

What are popular job titles related to Ai And jobs in Indiana?

For Ai And jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Ai And jobs?

Cities in Indiana with the most Ai And job openings:

Infographic showing various Ai And job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Evansville, IN • Remote

$80 - $110/hr

Part-time

Posted 14 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.