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Weekend Remote Data & Analytics Jobs in Tucson, AZ

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

New

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

New

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 ...

Hydrologist

Tucson, AZ · On-site +1

Remote with travel for onsite visits Travel: Up to 10%, Contingent upon business needs Duties ... Proficiency in hydrological modeling software (e.g., HEC-RAS, SWAT), GIS, and data analysis tools.

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 ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

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 ...

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 ...

Showing results 21-40

Weekend Remote Data Analytics information

See Tucson, AZ salary details

$23

$51

$89

How much do weekend remote data & analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for weekend remote data & analytics in Tucson, AZ is $51.76, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $58.65 per hour, depending on experience, location, and employer.
What job categories do people searching Weekend Remote Data & Analytics jobs in Tucson, AZ look for? The top searched job categories for Weekend Remote Data & Analytics jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Weekend Remote Data & Analytics jobs? Cities near Tucson, AZ with the most Weekend Remote Data & Analytics job openings:

Computational Biologist - AI Reviewer

micro1 AI

Tucson, AZ • On-site, Remote

$90 - $120/hr

Part-time

Posted 10 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.