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Remote Sports Data Analyst Jobs in Appleton, WI (NOW HIRING)

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

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

Green Bay, WI · 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 ...

Showing results 41-60

Remote Sports Data Analyst information

See Appleton, WI salary details

$33.2K

$80.6K

$132.7K

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

As of Aug 22, 2026, the average yearly pay for remote sports data analyst in Appleton, WI is $80,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,600.00 per year, depending on experience, location, and employer.

What does a remote sports data analyst do?

A Remote Sports Data Analyst collects, processes, and interprets data related to sports events, teams, and athletes, all while working from a remote location. They use statistical tools and software to analyze game results, player performance, and other metrics to provide meaningful insights. These insights can help teams improve strategies, support media coverage, or assist betting companies. The role requires strong analytical skills, proficiency in data analysis software, and a deep understanding of sports. Remote Sports Data Analysts often present their findings through reports, dashboards, or visualizations for stakeholders.

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

To thrive as a Remote Sports Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree in mathematics, statistics, or data science. Familiarity with data analysis tools such as Python, R, SQL, and sports analytics software, along with experience in data visualization platforms like Tableau, is typically required. Exceptional attention to detail, clear communication, and the ability to work independently are standout soft skills for this remote role. These skills are essential for accurately interpreting sports data, delivering actionable insights, and effectively collaborating with teams from a distance.

How do remote sports data analysts effectively collaborate with team members despite working from different locations?

Remote Sports Data Analysts typically use a variety of digital tools—such as project management platforms, instant messaging apps, and video conferencing software—to stay connected with colleagues. Regular virtual meetings and shared dashboards ensure that data insights are communicated clearly and deadlines are met. Collaboration often involves working closely with coaches, scouts, and other analysts to interpret data and provide actionable recommendations. Establishing strong communication habits and being proactive in sharing updates are key to overcoming the challenges of remote teamwork.

What are popular job titles related to Remote Sports Data Analyst jobs in Appleton, WI?

For Remote Sports Data Analyst jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Remote Sports Data Analyst jobs in Appleton, WI look for?

The top searched job categories for Remote Sports Data Analyst jobs in Appleton, WI are:

What cities near Appleton, WI are hiring for Remote Sports Data Analyst jobs?

Cities near Appleton, WI with the most Remote Sports Data Analyst job openings:

Infographic showing various Remote Sports Data Analyst job openings in Appleton, WI as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,634 per year, or $38.8 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Green Bay, WI • Remote

$80 - $110/hr

Part-time

Posted 19 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.