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Remote Ngo Data Analyst Jobs in Springfield, IL (NOW HIRING)

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Biostatistician

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Biostatistician

Springfield, IL · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Proficiency in analyzing and interpreting data trends. * Progressive operational leadership ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

Proficiency in analyzing and interpreting data trends. * Progressive operational leadership ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

Proficiency in analyzing and interpreting data trends. * Progressive operational leadership ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

Showing results 41-60

Remote Ngo Data Analyst information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do remote ngo data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote ngo data analyst in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What is a remote NGO data analyst?

A Remote NGO Data Analyst is a professional who works with non-governmental organizations (NGOs) to collect, process, and interpret data from a remote location. Their main responsibility is to analyze data related to program outcomes, fundraising, and impact assessment to help NGOs make informed decisions. They use various tools and software to visualize trends, prepare reports, and support strategic planning. Working remotely allows them to collaborate with teams and stakeholders globally, often using digital communication platforms.

What are the key skills and qualifications needed to thrive as a remote NGO data analyst?

To thrive as a Remote NGO Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, data science, or a related field. Familiarity with data analysis tools such as Excel, SPSS, R, or Python, and experience with data visualization platforms like Tableau or Power BI, are often required. Excellent communication, problem-solving abilities, and a collaborative mindset help you translate complex data into actionable insights for diverse, often global, teams. These skills are vital for supporting evidence-based decision-making and maximizing the impact of NGO programs from a remote setting.

What are some unique challenges faced by remote NGO data analysts, and how can they be addressed?

Remote NGO Data Analysts often encounter challenges related to data accessibility, communication across time zones, and aligning with diverse project teams. Data from field operations may be incomplete or delayed, requiring proactive follow-ups and creative data validation techniques. To address these challenges, analysts should establish clear communication channels with field staff, utilize collaborative tools for real-time updates, and participate in regular virtual meetings to ensure alignment with project goals. Building strong relationships with on-the-ground teams can significantly enhance data quality and analysis outcomes.

What are popular job titles related to Remote Ngo Data Analyst jobs in Springfield, IL?

For Remote Ngo Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:

What job categories do people searching Remote Ngo Data Analyst jobs in Springfield, IL look for?

The top searched job categories for Remote Ngo Data Analyst jobs in Springfield, IL are:

What cities near Springfield, IL are hiring for Remote Ngo Data Analyst jobs?

Cities near Springfield, IL with the most Remote Ngo Data Analyst job openings:

AI Training Specialist - Cheminformatics

micro1 AI

Springfield, IL • Remote

$80 - $110/hr

Part-time

Posted 18 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.