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Data Scientist Biotech Jobs in Florida (NOW HIRING)

Access Medical Laboratories is seeking an innovative and business-focused Data Scientist to join ... Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life ...

Access Medical Laboratories is seeking an innovative and business-focused Data Scientist to join ... Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life ...

... Biotechnology preferred - Prior consulting or advisory firm experience preferred - Contributing to commercial analytics product development - Familiarity with NCQA HEDIS specifications and CMS Star ...

... Biotechnology preferred - Prior consulting or advisory firm experience preferred - Contributing to commercial analytics product development - Familiarity with NCQA HEDIS specifications and CMS Star ...

Sr Associate Data Analytics

Tampa, FL · On-site

$95K - $117K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Our award-winning culture is collaborative, innovative, and science based. If you have a passion ...

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA ... data. Every team member plays a crucial role in driving the future of biotech research, building ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco ... data. Every team member plays a crucial role in driving the future of biotech research, building ...

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $150,000 - $180,000 Location: San Francisco, CA ... data. Every team member plays a crucial role in driving the future of biotech research, building ...

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

CRA 1, IQVIA Biotech

Tampa, FL · On-site

$71K - $145K/yr

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

Quotient Sciences is a leading drug development and manufacturing accelerator, helping biotech and ... Responsible for the following data entry associated tasks for their assigned studies: source ...

Data Architect

North Palm Beach, FL · On-site

$63.75 - $82/hr

The Data Architect will establish enterprise data standards, design modern data architectures ... Experience within healthcare, clinical laboratories, diagnostics, biotechnology, or life sciences.

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Showing results 1-20

Data Scientist Biotech information

What is the difference between Data Scientist Biotech vs Data Analyst Biotech?

AspectData Scientist BiotechData Analyst Biotech
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; proficiency in programming and statistical toolsBachelor's degree in Life Sciences, Statistics, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on complex data modelingClinical settings, research teams; focus on data collection and reporting
Employer & Industry UsageBiotech firms, pharma companies, research institutionsBiotech and healthcare organizations, research labs

In summary, Data Scientist Biotech roles involve advanced data modeling, machine learning, and bioinformatics, requiring higher technical skills and often advanced degrees. Data Analysts Biotech focus on interpreting and reporting data, with less emphasis on complex modeling. Both roles are vital in biotech but differ in scope and technical depth.

How do you become a data scientist in biotech?

To become a data scientist in biotech, one typically needs a strong background in mathematics, statistics, and programming, often with a master's or Ph.D. in a related field such as bioinformatics, computer science, or biology. Gaining experience with data analysis tools like Python, R, and machine learning techniques, along with understanding biological data and laboratory processes, is essential. Internships, research projects, or relevant work experience can also help build expertise in the biotech industry.

What does a data scientist biotech do?

A data scientist in biotech analyzes complex biological and clinical data to identify patterns, develop predictive models, and support research and development efforts. They often use statistical tools, machine learning techniques, and programming languages like Python or R to interpret data and inform decision-making in biotech projects.

What cities in Florida are hiring for Data Scientist Biotech jobs?

Cities in Florida with the most Data Scientist Biotech job openings:

Infographic showing various Data Scientist Biotech job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

Posted 6 days ago


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.