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Phd Data Scientist Jobs in Rochester, MN (NOW HIRING)

Mayo Clinic

Neurosurgeon (Cranial)

Rochester, MN

$307K - $843K/yr

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

Mayo Clinic

Neurosurgeon (Cranial)

Rochester, MN · On-site

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

Mayo Clinic

Neurosurgeon (Cranial)

Rochester, MN · On-site

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

Mayo Clinic

Neurosurgeon (Cranial)

Rochester, MN · On-site

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

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All JobsPhd Data Scientist JobsPhd Data Scientist Jobs in Rochester, MN

Phd Data Scientist information

See Rochester, MN salary details

$46.8K

$167.7K

$247.5K

How much do phd data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for phd data scientist in Rochester, MN is $167,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,700.00 and $172,800.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What are the key skills and qualifications needed to thrive as a PhD data scientist?

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What are popular job titles related to Phd Data Scientist jobs in Rochester, MN?

For Phd Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:

What job categories do people searching Phd Data Scientist jobs in Rochester, MN look for?

The top searched job categories for Phd Data Scientist jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Phd Data Scientist jobs?

Cities near Rochester, MN with the most Phd Data Scientist job openings:

Phd Data Scientist jobs near you
Infographic showing various Phd Data Scientist job openings in Rochester, MN as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $167,740 per year, or $80.6 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Rochester, MN • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

Apply