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Biotech Data Science Jobs in Florida (NOW HIRING)

Access Labs LLC

Data Scientist

North Palm Beach, FL · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a ... Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life ...

Pwc

Payer Healthcare Data Scientist, Manager

Tampa, FL

$99K - $232K/yr

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Pwc

Payer Healthcare Data Scientist, Manager

Miami, FL

$99K - $232K/yr

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

IQVIA

CRA 1, IQVIA Biotech

Tampa, FL

$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 ...

IQVIA

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

Data Entry Coordinator

Miami, FL · On-site

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 ...

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Biotech Data Science information

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How much do biotech data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for biotech data science in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the most commonly searched types of Biotech Data Science jobs in Florida?

The most popular types of Biotech Data Science jobs in Florida are:

What are popular job titles related to Biotech Data Science jobs in Florida?

For Biotech Data Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Florida look for?

The top searched job categories for Biotech Data Science jobs in Florida are:

Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Florida as of August 2026, with employment types broken down into 55% Full Time, 14% Part Time, 10% Temporary, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Scientist

North Palm Beach, FL • On-site

Access Labs LLC
See more jobs at Access Labs LLCexternal

Full-time

Posted 12 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.

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