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Real World Data Jobs in Stuart, FL (NOW HIRING)

Varsity Tutors

Math 1 Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

... data analysis, geometric transformations, and congruence. Ability to explain slope-intercept form ... Emphasizes mathematical reasoning and connecting algebraic and geometric perspectives to real-world ...

Varsity Tutors

College Math Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving ... Adapts instruction using real-world contexts, technology tools, and scaffolded problem sets to ...

Varsity Tutors

AP Pre-Calculus Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

... modeling real-world phenomena. * Curriculum Awareness & Adaptive Instruction: Familiar with AP ... data, and working with polar and parametric representations. Adapts instruction using graphing ...

Varsity Tutors

Middle School Math Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

... data analysis. Ability to explain number sense, coordinate plane plotting, and mathematical ... Emphasizes conceptual understanding through real-world contexts including recipes, budgeting ...

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All JobsReal World Data JobsReal World Data Jobs in Stuart, FL

Real World Data information

What is a real world data?

A Real World Data (RWD) job involves collecting, analyzing, and interpreting healthcare data generated outside of traditional clinical trials, such as electronic health records, claims data, patient registries, and wearable device data. Professionals in this field work to generate insights that can support drug development, regulatory decisions, and healthcare policy. These roles require expertise in data management, biostatistics, epidemiology, or health informatics. RWD jobs are critical for understanding real-world patient outcomes and improving healthcare interventions.

What does a typical workday look like for someone in a real world data position?

In a Real World Data role, your typical day might include accessing and preparing large healthcare datasets, performing statistical analyses, and collaborating with clinical, regulatory, and data science colleagues. You may also spend time developing reports or visualizations to communicate findings to stakeholders, as well as ensuring data quality and compliance with privacy standards. Teamwork is vital, as projects often involve close collaboration with cross-functional teams in research, product development, or regulatory affairs. The work can be both independent and highly collaborative, offering a dynamic and engaging environment for those who enjoy tackling complex challenges.

What are the key skills and qualifications needed to thrive in the real world data position, and why are they important?

To thrive in a Real World Data role, you need expertise in data analysis, statistics, and a background in healthcare, epidemiology, or life sciences. Familiarity with data management tools like SQL, SAS, R, or Python, as well as knowledge of regulatory guidelines such as HIPAA or GDPR, is typically required. Strong attention to detail, critical thinking, and effective communication are essential soft skills that distinguish top candidates. These competencies are crucial for accurately interpreting complex health data, ensuring compliance, and effectively collaborating with multidisciplinary teams to generate actionable insights.

Real World Data jobs near you
Infographic showing various Real World Data job openings in Stuart, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Port Saint Lucie, FL • Remote

$80 - $110/hr

Part-time

Posted 20 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.

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