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Ai Scientist Salary In Jobs in Rochester, MN (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Rochester, MN · On-site +1

$80 - $150/hr

... science and technology sector. In this role, you'll apply your expertise to help train next ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

micro1 AI

Research Consultant - Physics AI

Rochester, MN · Remote

$80 - $140/hr

... scientific knowledge and problem-solving skills to a high-impact customer project. In this role ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Mayo Clinic

Director - AI Digital Biology

Rochester, MN · Hybrid

$204K - $306K/yr

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider ... Directing a multidisciplinary team of AI/ML engineers, software developers, and research scientists ...

Mayo Clinic

Nurse Scientist

Rochester, MN · On-site

$117K - $367K/yr

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider ... Exemption Status Exempt Compensation Detail The minimum starting salary for research specialties ...

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Ai Scientist Salary In information

What is the difference between Ai Scientist Salary In vs Data Scientist?

AspectAi ScientistData Scientist
Average Salary$115,000$105,000
Required CredentialsMaster's or PhD in AI, Machine Learning, or related fieldsMaster's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, AI startupsBusiness analytics, consulting firms, tech companies
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models

While Ai Scientists focus on developing artificial intelligence and machine learning models, Data Scientists analyze data to extract insights. Salaries for Ai Scientists tend to be higher due to specialized skills in AI development, but both roles require advanced degrees and are in high demand across tech industries.

How do I become an AI scientist?

To become an AI scientist, typically a strong educational background in computer science, mathematics, or related fields is required, often including a master's or Ph.D. in AI, machine learning, or data science. Developing skills in programming languages like Python, understanding algorithms, and gaining experience with tools such as TensorFlow or PyTorch are essential. Practical experience through research, projects, or internships also helps build expertise in AI development and research.

How much do AI scientists get paid?

AI scientists typically earn a salary ranging from $80,000 to over $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning, deep learning, and data analysis tend to command higher salaries, especially in tech hubs or companies with advanced AI initiatives.

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What cities near Rochester, MN are hiring for Ai Scientist Salary In jobs?

Cities near Rochester, MN with the most Ai Scientist Salary In job openings:

Ai Scientist Salary In jobs near you
Infographic showing various Ai Scientist Salary In job openings in Rochester, MN as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

Rochester, MN • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 21 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.

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