ZipRecruiter

Log In

1

Internship Clinical Data Scientist Jobs in Phoenix, AZ

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

divh2Senior Data Scientist/h2pAt Caris, we understand that cancer is an ugly worda word no one ... clinical datasets, and brings a strong quantitative and scientific background, excellent ...

Intel

Data Scientist/Statistician

Phoenix, AZ · On-site

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ

Author and review statistical analysis plans, protocols, and technical reports for clinical and non-clinical studies. * Collaborate closely with data engineers, data scientists, software engineers ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

Author and review statistical analysis plans, protocols, and technical reports for clinical and non-clinical studies. * Collaborate closely with data engineers, data scientists, software engineers ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

... clinical medical records, and rich product interaction data from our members. Connecting the dots ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

Author and review statistical analysis plans, protocols, and technical reports for clinical and non-clinical studies. * Collaborate closely with data engineers, data scientists, software engineers ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

... clinical medical records, and rich product interaction data from our members. Connecting the dots ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Oscar Health

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

... clinical medical records, and rich product interaction data from our members. Connecting the dots ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Oscar Health

Data Scientist II

Tempe, AZ · On-site

$131.20K - $172.20K/yr

... clinical medical records, and rich product interaction data from our members. Connecting the dots ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

next page

Showing results 1-20

People also search for

All JobsInternship Clinical Data Scientist JobsInternship Clinical Data Scientist Jobs in Phoenix, AZ

Internship Clinical Data Scientist information

See Phoenix, AZ salary details

$45.7K

$163.8K

$241.8K

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

As of May 28, 2026, the average yearly pay for internship clinical data scientist in Phoenix, AZ is $163,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,800.00 per year, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Clinical Data Scientist jobs in Phoenix, AZ? The most popular types of Clinical Data Scientist jobs in Phoenix, AZ are:
What are popular job titles related to Internship Clinical Data Scientist jobs in Phoenix, AZ? For Internship Clinical Data Scientist jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Internship Clinical Data Scientist jobs in Phoenix, AZ look for? The top searched job categories for Internship Clinical Data Scientist jobs in Phoenix, AZ are:
Internship Clinical Data Scientist jobs near you
Clinical Data Scientist - AI Trainer

Clinical Data Scientist - AI Trainer

DataAnnotation

Phoenix, AZ • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

Apply