2

Weekend Remote Data & Analytics Jobs in Chesapeake, VA

IT HEDIS & Analytics Manager

Norfolk, VA · On-site +1

$29.25 - $38.75/hr

The manager oversees HEDIS data feeds, production operations, platform support, data-quality ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware ... Uses data from internal and external sources to provide insights to decision makers to solve ...

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 ...

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 Chesapeake, VA salary details

$23

$53

$91

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

As of Aug 20, 2026, the average hourly pay for weekend remote data & analytics in Chesapeake, VA is $53.17, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.24 per hour, depending on experience, location, and employer.

Do data analysts work weekends?

Data analysts working remotely often have flexible schedules, but their work typically follows standard business hours during weekdays. Weekend work may be required occasionally for urgent projects or deadlines, depending on the employer and project needs. Overall, weekend work is not a regular expectation for most data analyst roles.

Is it possible to get a remote job as a weekend remote data & analytics professional?

Yes, it is possible to find remote data and analytics roles that offer weekend or flexible schedules, especially in freelance or contract positions. These roles often require strong skills in data analysis, tools like SQL or Python, and the ability to work independently outside traditional business hours.

What job categories do people searching Weekend Remote Data & Analytics jobs in Chesapeake, VA look for?

The top searched job categories for Weekend Remote Data & Analytics jobs in Chesapeake, VA are:

What cities near Chesapeake, VA are hiring for Weekend Remote Data & Analytics jobs?

Cities near Chesapeake, VA with the most Weekend Remote Data & Analytics job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Chesapeake, VA • Remote

$90 - $120/hr

Part-time

Posted 23 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.