1

Internship Clinical Data Scientist Jobs in Boca Raton, FL

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

next page

Showing results 1-20

Internship Clinical Data Scientist information

See Boca Raton, FL salary details

$43.7K

$156.6K

$231.1K

How much do internship clinical data scientist jobs pay per year?

As of Aug 31, 2026, the average yearly pay for internship clinical data scientist in Boca Raton, FL is $156,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,700.00 and $161,300.00 per year, depending on experience, location, and employer.

What does an internship clinical data scientist do?

An Internship Clinical Data Scientist assists in managing and analyzing clinical trial data to support medical research and drug development. They work with large datasets, apply statistical techniques, and use programming tools to ensure data integrity and derive meaningful insights. Responsibilities may include data cleaning, statistical programming, and collaborating with cross-functional teams to interpret results. This role is ideal for students or recent graduates looking to gain hands-on experience in the intersection of healthcare and data science.

What types of projects and tasks can an internship clinical data scientist expect to work on during their internship?

As an Internship Clinical Data Scientist, you can expect to be involved in a variety of projects such as data cleaning, statistical analysis, and visualization of clinical trial data. Interns often support senior data scientists by preparing datasets, running quality checks, and assisting in the development of predictive models or dashboards. You may also participate in cross-functional meetings with clinical research teams to discuss data requirements and share insights. This collaborative environment helps interns gain exposure to real-world applications of data science in healthcare and build foundational skills for future career growth.

What are the key skills and qualifications needed to thrive as an internship clinical data scientist, and why are they important?

To thrive as an Internship Clinical Data Scientist, you generally need a background in statistics, computer science, or a related field, along with knowledge of clinical research methods. Familiarity with programming languages like Python or R, data visualization tools, and clinical data management systems such as SAS or SQL is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for ensuring data integrity, extracting actionable insights, and supporting evidence-based decision-making in clinical research.

What is the difference between Internship Clinical Data Scientist vs Clinical Data Scientist?

AspectInternship Clinical Data ScientistClinical Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., biostatistics, data science)Advanced degree (Master's or PhD) often required
Work EnvironmentInternship programs, entry-level projects, supervisedFull-time, independent project work in healthcare or pharma companies
Employer & Industry UsagePharmaceutical companies, research institutions, biotech firmsSame as internship, but with more responsibility and experience
Search & Comparison IntentYes, for entry-level or learning rolesYes, for experienced roles

The main difference between an Internship Clinical Data Scientist and a Clinical Data Scientist is experience level and responsibility. Internships are designed for students or recent graduates gaining initial industry exposure, often with supervised tasks. Clinical Data Scientists are experienced professionals handling complex data analysis independently in healthcare and pharmaceutical settings.

What are popular job titles related to Internship Clinical Data Scientist jobs in Boca Raton, FL?

For Internship Clinical Data Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Internship Clinical Data Scientist jobs in Boca Raton, FL look for?

The top searched job categories for Internship Clinical Data Scientist jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Internship Clinical Data Scientist jobs?

Cities near Boca Raton, FL with the most Internship Clinical Data Scientist job openings:

Infographic showing various Internship Clinical Data Scientist job openings in Boca Raton, FL as of August 2026, with employment types broken down into 65% Full Time, 25% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $156,596 per year, or $75.3 per hour.

Data Scientist

SROA PROPERTY MANAGEMENT, LLC

West Palm Beach, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Become the newest member of our exciting team at SROA Capital as we redefine self-storage!

At SROA, we offer a career and opportunity to grow. We strongly believe in growing our talent and promoting within. We are proud to be honored as one of the TOP WORKPLACES of South Florida by the Sun Sentinel three years in a row.

SROA Capital is a vertically integrated private equity real estate investment firm that has evolved into a global asset manager with a successful track record of providing risk adjusted returns to its partners through its focused strategy of investing in self-storage. SROA is headquartered in West Palm Beach, FL and has invested, redeveloped, and developed self storage across the risk spectrum in major and secondary markets across the United States under the brand Storage Rentals of America and the UK under the brand Kangaroo Self Storage with approximately 900 employees globally.

The Data Scientist will apply statistical analysis, predictive modeling, machine learning, and AI-enabled analytics to trusted company data. This role  will help transform data into insights, predictions, recommendations, and reusable analytics products while developing a strong understanding of SROA business operations and data assets.

This role will support use cases across revenue management, customer behavior, operations, marketing, investment analysis, and customer experience and will work with Data Intelligence leadership, analytics engineering, business intelligence, data engineering and business stakeholders. The position is designed for an early-career professional who has a strong foundation in statistics, programming, and analytical problem-solving and is eager to grow through hands-on work with real business problems.

Duties and Responsibilities

  • Assist in developing, testing, and maintaining predictive models, statistical analyses, and machine learning solutions for business use cases
  • Explore and analyze structured data to identify trends, relationships, anomalies, and opportunities that can improve business performance
  • Partner with business stakeholders and Data Intelligence team members to understand business questions, define analytical approaches, and translate findings into actionable insights
  • Prepare, clean, validate, and transform data for analysis in collaboration with analytics engineering and data engineering resources
  • Build reproducible analytical workflows using SQL, Python, or similar tools and document assumptions, methods, model inputs, and results
  • Evaluate model performance using appropriate statistical and machine learning techniques and communicate limitations, risks, and expected business impact
  • Support experimentation, forecasting, segmentation, optimization, and other advanced analytics initiatives as assigned
  • Create clear visualizations, summaries, and presentations that explain analytical findings to technical and non-technical audiences
  • Contribute analytical outputs and model results to dashboards, reports, and other data products in partnership with business intelligence resources
  • Follow Data Intelligence standards for metric consistency, data quality, governance, documentation, version control, and analytical reproducibility
  • Research emerging data science, machine learning, and AI techniques and help evaluate practical applications within SROA
  • Contribute to a collaborative Data Intelligence operating model focused on trusted data, reusable assets, consistent analytics, and measurable business value
  • Other projects as assigned

Required:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field, or equivalent practical experience
  • 0-2 years of professional, internship, academic, or project experience applying data science, statistical analysis, machine learning, or advanced analytics techniques
  • Working knowledge of Python and common data analysis libraries such as pandas, NumPy, scikit-learn, or similar tools
  • Working knowledge of SQL and the ability to query, join, aggregate, and validate data from relational data sources
  • Foundational understanding of statistics, probability, regression, classification, model evaluation, and experimental or analytical design
  • Ability to clean, explore, analyze, and visualize data and explain findings in a clear, business-oriented manner
  • Strong analytical reasoning, problem-solving, attention to detail, and intellectual curiosity
  • Ability to learn business processes and translate business questions into structured analytical problems
  • Strong written and verbal communication skills and the ability to work effectively with both technical and non-technical team members
  • Ability to manage multiple assignments, document work clearly, and operate effectively in a fast-paced and evolving environment

Preferred:

  • Internship, academic, or project experience with predictive modeling, forecasting, customer analytics, optimization, segmentation, or recommendation techniques
  • Exposure to cloud data platforms, modern data warehouses, notebooks, Git, or other collaborative analytics development tools
  • Exposure to Microsoft Power BI or other business intelligence and data visualization platforms
  • Familiarity with generative AI, large language models, or AI-enabled analytical workflows
  • Experience working with real estate, self-storage, retail, revenue management, marketing, operations, or other multi-site business data

SROA Offers: 

  • Competitive pay with bonus potential
  • UKG Wallet – on-demand pay option
  • 100% paid medical coverage options for employee-only
  • Dental and vision plans for optimal care
  • Eight (8) paid holidays
  • Generous Paid Time Off (PTO), increasing with years of service
  • Paid Maternity and Parental Leave for growing families
  • 401(k) with substantial employer match and 100% immediate vesting
  • Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and Dependent Care Flexible Spending Accounts (DCFSA) for tax-advantaged savings
  • GAP Insurance for added financial protection
  • Employer-paid Life Insurance and Short-Term Disability coverage
  • Long-Term Disability (LTD) coverage for added peace of mind
  • Pet insurance – because your pets are family too
  • Storage Discounts to help you declutter and organize
  • Access to Voluntary Benefits for personalized coverage
  • Learning and development opportunities to maximize your potential and excel in your career
  • A great culture that values collaboration, innovation, and inclusivity

SROA is an Equal Opportunity employer and uses the federal government E-Verify system to verify employment eligibility.