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Tableau Biotech Jobs in Florida (NOW HIRING)

Experience creating dashboards using Power BI, Tableau, or similar visualization tools. * Strong ... Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life ...

... biotech, life sciences, food & beverage, manufacturing, petrochemical refineries and oil & gas ... Experience with reporting tools (Crystal Reports, Tableau) and with web technologies such as Web ...

Experience creating dashboards using Power BI, Tableau, or similar visualization tools. * Strong ... Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life ...

Strong knowledge of analytics tools (e.g., Google Analytics, Tableau) and CRM platforms (e.g ... Master's degree or MBA * Experience in the life sciences, biotechnology, or laboratory supplies ...

... Analytics, Tableau) and CRM platforms (e.g., HubSpot, Salesforce) Exceptional analytical and ... Master's degree or MBA Experience in the life sciences, biotechnology, or laboratory supplies ...

Tableau Biotech information

What is a Tableau Biotech professional?

A Tableau Biotech professional is someone who specializes in using Tableau, a powerful data visualization and analytics tool, within the biotechnology industry. Their role typically involves collecting, analyzing, and visualizing complex biotech data to support research, development, and business decision-making. They collaborate with scientists, researchers, and business teams to create interactive dashboards and reports that make data insights accessible and actionable. By translating raw data into meaningful visualizations, they help organizations in the biotech sector make informed decisions and drive innovation.

What are the key skills and qualifications needed to thrive as a Tableau developer in the biotech industry?

To thrive as a Tableau Developer in the biotech sector, you need strong data visualization skills, proficiency in SQL, and a background in life sciences or healthcare analytics. Expertise in Tableau Desktop, Tableau Server, and integration with data sources like Excel, SQL databases, or cloud platforms is commonly required, along with certifications such as Tableau Desktop Specialist. Analytical thinking, attention to detail, and strong communication skills help you translate complex biomedical data into actionable insights for stakeholders. These skills are crucial for enabling data-driven decision-making and accelerating research and development in the biotech field.

What are some typical challenges faced by Tableau developers in the biotech industry, and how can they be addressed?

Tableau developers in the biotech sector often encounter challenges related to integrating complex scientific data from multiple sources and maintaining data accuracy for regulatory compliance. They must collaborate closely with scientists, data analysts, and IT teams to ensure dashboards meet both technical and scientific requirements. Proactively learning about biotech data standards and establishing clear communication channels can help overcome these hurdles, ensuring effective data visualization and supporting critical decision-making.

Are Tableau Biotech jobs in demand?

Tableau Biotech jobs are in demand as companies seek data visualization and analytics skills to support research and development, manufacturing, and quality control. Professionals with expertise in Tableau, data analysis, and biotech industry knowledge are increasingly sought after, especially in roles involving data reporting and dashboard creation.

What jobs can I get with Tableau Biotech?

With Tableau Biotech skills, you can pursue roles such as Business Intelligence Analyst, Data Analyst, or Data Scientist in biotech or healthcare industries. These positions typically require proficiency in data visualization, Tableau software, and understanding of biotech data, enabling effective reporting and decision-making.

What cities in Florida are hiring for Tableau Biotech jobs?

Cities in Florida with the most Tableau Biotech job openings:

Infographic showing various Tableau Biotech job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist

Access Labs LLC

North Palm Beach, FL

Full-time

Posted 19 days ago


Key responsibilities

  • Develop and implement AI and machine learning solutions to improve operational efficiency and business outcomes across multiple departments.

  • Collaborate with business leaders to identify opportunities for AI and advanced analytics to solve operational challenges.

  • Design, develop, validate, and deploy production-ready AI/ML models, and monitor their performance for continuous optimization.


Job description

Job Summary:

Access Medical Laboratories is seeking an innovative and business-focused Data Scientist to join our Digital Transformation team. Reporting to the Digital Transformation Manager, this role will leverage artificial intelligence (AI), machine learning (ML), predictive analytics, and data science techniques to develop solutions that improve operational efficiency, customer experience, and business performance across Operations, Finance, Commercial/Marketing, and Laboratory functions.

The ideal candidate is passionate about transforming complex business problems into scalable AI-driven solutions and enjoys partnering with cross-functional stakeholders to identify opportunities, build predictive models, deploy solutions, and measure business impact.

Job Responsibilities:

  • Develop and implement AI and machine learning solutions that improve operational efficiency and business outcomes across multiple departments.
  • Collaborate with business leaders to identify opportunities where AI and advanced analytics can solve operational challenges.
  • Translate business needs into predictive models, machine learning algorithms, and actionable insights.
  • Design, develop, validate, and deploy production-ready AI/ML models.
  • Monitor model performance and continuously optimize solutions based on business outcomes.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Build dashboards and reporting tools that communicate insights to technical and non-technical stakeholders.
  • Partner with IT, software development, laboratory operations, finance, and commercial teams to integrate AI solutions into existing workflows.
  • Ensure data quality, governance, and compliance with healthcare data standards and organizational policies.
  • Stay current on emerging AI technologies and recommend innovative applications that drive competitive advantage.

Initial Strategic Projects

  • Develop predictive churn models to identify clients at risk and recommend retention strategies.
  • Build real-time courier delivery analytics to monitor specimen collections, deliveries, and sample stability throughout transportation.
  • Develop a "Next Best Action" recommendation engine for the Account Management team to improve customer engagement and retention.
  • Create predictive inventory and labor planning models to optimize staffing levels, inventory management, and operational efficiency.

Qualifications & Skills:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • Master's degree preferred.
  • 1-3 years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
  • Experience developing and deploying machine learning models in a production environment.
  • Strong proficiency in Python and SQL.
  • Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
  • Experience working with cloud platforms such as Azure, AWS, or Google Cloud.
  • Experience creating dashboards using Power BI, Tableau, or similar visualization tools.
  • Strong understanding of statistical modeling, predictive analytics, and optimization techniques.
  • Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life sciences.
  • Experience with MLOps, model deployment, and automation.
  • Familiarity with Generative AI, Large Language Models (LLMs), and AI copilots.
  • Experience integrating AI solutions into enterprise applications.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills with the ability to explain technical concepts to business stakeholders.
  • Ability to manage multiple projects in a fast-paced environment.
  • Collaborative mindset with strong relationship-building skills.
  • Results-oriented with a passion for innovation and continuous improvement.
  • Ability to work independently while driving cross-functional initiatives.
  • Strong project management and organizational skills.