2

Remote Political Science Data Analytics Jobs in Rochester Hills, MI

LIHTC Development Consultant

Detroit, MI · On-site +1

$99K - $134K/yr

Bachelor's degree in Business Administration, Political Science, Public Policy, or a related field ... Ability to analyze risks, assumptions, and structuring alternatives and provide strategic ...

... analyzing environmental case studies, interpreting water quality and air pollution data, and ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Showing results 41-60

Remote Political Science Data Analytics information

See Rochester Hills, MI salary details

$22

$50

$86

How much do remote political science data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote political science data analytics in Rochester Hills, MI is $50.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.48 and $57.07 per hour, depending on experience, location, and employer.

What is the difference between Remote Political Science Data Analytics vs Political Data Analyst?

AspectRemote Political Science Data AnalyticsPolitical Data Analyst
Required CredentialsBachelor's or higher in Political Science, Data Analytics, or related fieldsBachelor's or higher in Political Science, Data Analytics, or related fields
Work EnvironmentRemote, often freelance or contract-basedTypically office-based or remote, depending on employer
Employer & Industry UsageGovernment agencies, research firms, NGOs, think tanksGovernment agencies, political campaigns, research organizations
Common Search & ComparisonYesYes

Remote Political Science Data Analytics involves analyzing political data remotely, often with a focus on research or policy. Political Data Analysts typically work on political campaigns or government projects, sometimes onsite. Both roles require similar credentials and are used across government and research sectors, but Remote Political Science Data Analytics emphasizes remote work flexibility.

What are popular job titles related to Remote Political Science Data Analytics jobs in Rochester Hills, MI? For Remote Political Science Data Analytics jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Remote Political Science Data Analytics jobs in Rochester Hills, MI look for? The top searched job categories for Remote Political Science Data Analytics jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Remote Political Science Data Analytics jobs? Cities near Rochester Hills, MI with the most Remote Political Science Data Analytics job openings:
Infographic showing various Remote Political Science Data Analytics job openings in Rochester Hills, MI 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, with an average salary of $104,815 per year, or $50.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Warren, MI • Remote

$90 - $120/hr

Part-time

Posted 12 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.