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Remote Data Science Social Good Jobs in Florida (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247170 Location: Tampa,FL,US Share job via: Share Data Engineer ... Work with us to use data for good. Join us. The world can't wait. You Have: * 5+ years of ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

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Remote Data Science Social Good information

What is a Remote Data Science Social Good?

A Remote Data Science Social Good job involves using data science techniques to address social challenges, such as public health, education, poverty, or environmental issues, while working remotely. Professionals in this field analyze data, build models, and develop insights that can help non-profits, NGOs, or governmental organizations make data-driven decisions for positive social impact. These roles often require strong analytical skills, a passion for social causes, and the ability to collaborate virtually with diverse teams.

How do remote data science professionals working in social good organizations typically collaborate with non-technical stakeholders?

Remote data science professionals in social good organizations often work closely with program managers, policy experts, and community partners who may not have technical backgrounds. Effective collaboration involves translating complex data findings into actionable insights, creating clear visualizations, and maintaining open communication channels through regular virtual meetings or shared documentation. Building strong relationships and understanding the mission-driven context are key to ensuring that data-driven solutions truly support the organization's goals and the communities they serve.

What are the key skills and qualifications needed to thrive as a remote data science social good professional, and why are they important?

To thrive as a Remote Data Science Social Good professional, you need strong analytical skills, proficiency in statistics, and a solid background in data science or a related field—often supported by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with cloud-based data platforms are typically required. Excellent communication, collaboration, and problem-solving skills help you translate data insights into actionable impact for social good projects. These abilities ensure you can effectively analyze data remotely and drive meaningful change in nonprofit or civic-oriented organizations.

What are the most commonly searched types of Data Science Social Good jobs in Florida?

The most popular types of Data Science Social Good jobs in Florida are:

What are popular job titles related to Remote Data Science Social Good jobs in Florida?

For Remote Data Science Social Good jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Social Good jobs in Florida look for?

The top searched job categories for Remote Data Science Social Good jobs in Florida are:

What cities in Florida are hiring for Remote Data Science Social Good jobs?

Cities in Florida with the most Remote Data Science Social Good job openings:

Remote Data Science Social Good jobs near you
Infographic showing various Remote Data Science Social Good job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Boca Raton, FL • Remote

$90 - $120/hr

Part-time

Posted 24 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.

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