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Remote Oncology Data Analyst Jobs in Springfield, IL

micro1 AI

Pharmacovigilance Expert

Springfield, IL · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

Hshs

Epic Analyst I-Lumens

Springfield, IL · On-site +1

$31.03 - $46.54/hr

Under direct supervision, assists in the gathering and analyzing of data, development, support and ... Corporate Services o Schedule: Full Time, 40 hrs/wk o Location: 100% remote, accepting applicants ...

DataAnnotation

FP&A Manager - AI Trainer

Springfield, IL · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

micro1 AI

Private Funds Attorney - Remote

Springfield, IL · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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All JobsOncology Data Analyst JobsRemote Oncology Data Analyst JobsRemote Oncology Data Analyst Jobs in Springfield, IL

Remote Oncology Data Analyst information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

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

As of Aug 8, 2026, the average yearly pay for remote oncology 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 are the key skills and qualifications needed to thrive as a remote oncology data analyst?

To thrive as a Remote Oncology Data Analyst, you need strong analytical skills, a background in health data or biostatistics, and familiarity with oncology terminology, often supported by a degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, SAS, or R, and experience with electronic health records (EHRs) or cancer registry software like SEER*DMS are typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills ensure accurate data interpretation, support oncology research and patient outcomes, and enable efficient collaboration in a remote work environment.

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

Remote Oncology Data Analysts often face challenges such as ensuring data accuracy across various electronic health record systems and maintaining effective communication with clinical teams. Working remotely also requires strong self-motivation and organization to manage multiple projects and data requests simultaneously. To address these challenges, it's important to establish clear documentation practices, use secure data-sharing platforms, and participate in regular virtual meetings to stay aligned with team goals. Building strong relationships with clinical staff and IT support can also help overcome technical and data integrity issues.

What is a remote oncology data analyst?

A Remote Oncology Data Analyst is a professional who analyzes cancer-related data while working from a remote location, such as their home. They collect, organize, and interpret clinical and research data to support oncology programs, improve patient outcomes, and inform decision-making. Their work often involves using specialized software to manage large datasets, ensuring data accuracy and compliance with regulations. They collaborate with healthcare providers, researchers, and administrators, playing a crucial role in advancing cancer treatment and research.
What are popular job titles related to Remote Oncology Data Analyst jobs in Springfield, IL? For Remote Oncology Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:
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Remote Oncology Data Analyst jobs near you

Computational Biologist - AI Reviewer

micro1 AI

Springfield, IL • On-site, Remote

$90 - $120/hr

Part-time

Posted 11 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic 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.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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