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Remote Data Science Ngo Jobs in Michigan (NOW HIRING)

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Bachelor\'s degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a ...

Bright Vision Technologies

AI Data Engineer

Troy, MI · Remote

$100K/mo

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Bachelor's or Master's degree in Computer Science or a related field. * Six or more years of data ...

Belle, LLC

Nurse Practitioner: Remote Urgent Care

Detroit, MI · Remote

$109K - $151K/yr

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

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Remote Data Science Ngo information

What is a remote data scientist at an NGO?

Remote data science jobs at NGOs involve using statistical analysis, machine learning, and data visualization to support the organization’s mission from any location. Data scientists in these roles analyze large datasets to inform decision-making, measure impact, and optimize programs. Tasks may include building data dashboards, developing predictive models, and communicating insights to non-technical stakeholders. Working remotely allows professionals to contribute to global causes without being tied to a specific office, making these roles flexible and accessible.

What skills and qualifications are needed to thrive as a remote data scientist at an NGO?

To thrive as a Remote Data Scientist at an NGO, you need strong analytical skills, proficiency in statistics, and a degree in data science, computer science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, along with experience in cloud-based collaboration or project management systems, is typically required. Excellent communication, problem-solving, and self-motivation are vital soft skills for conveying insights and working independently within dispersed teams. These skills ensure the effective analysis and presentation of data to drive evidence-based decisions that further the NGO's mission.

What are common challenges faced by data scientists working remotely for NGOs, and how can they be addressed?

Remote data scientists in NGOs often face challenges such as limited access to high-quality data, coordinating with geographically dispersed teams, and aligning technical solutions with organizational goals. Clear communication and regular virtual meetings can help bridge collaboration gaps, while utilizing secure cloud-based data storage ensures access to necessary datasets. Additionally, understanding the NGO's mission and maintaining flexibility in problem-solving can help data scientists deliver impactful insights despite resource constraints.

What are the most commonly searched types of Data Science Ngo jobs in Michigan?

The most popular types of Data Science Ngo jobs in Michigan are:

What are popular job titles related to Remote Data Science Ngo jobs in Michigan?

For Remote Data Science Ngo jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Ngo jobs in Michigan look for?

The top searched job categories for Remote Data Science Ngo jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Science Ngo jobs?

Cities in Michigan with the most Remote Data Science Ngo job openings:

Remote Data Science Ngo jobs near you
Infographic showing various Remote Data Science Ngo job openings in Michigan 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.

AI Training Specialist - Life Sciences

micro1 AI

Lansing, MI • Remote

$90 - $120/hr

Part-time

Posted 20 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.

Apply