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Entry Level Clinical Data Scientist Jobs (NOW HIRING)

Lilly

Clinical Data Associate

Indianapolis, IN · On-site

The role is responsible for providing clinical data science leadership and ownership for a particular clinical study, set of studies, or programs. Primary Responsibilities: This is intended to ...

Cedars Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94K - $161K/yr

Research Data Scientist (Cedars-Sinai Medical Center; West Hollywood, CA): Participate in ... clinical data and genetics data. Salary: $94,800 - $161,000 per year To Apply: Any interested ...

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Entry Level Clinical Data Scientist information

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How much do entry level clinical data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entry level clinical data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Clinical Data Scientist vs Clinical Data Analyst?

AspectEntry Level Clinical Data ScientistClinical Data Analyst
Required CredentialsBachelor's degree in data science, biostatistics, or related field; some roles may prefer internships or certificationsBachelor's degree in health informatics, statistics, or related field; often similar certifications
Work EnvironmentPharmaceutical companies, biotech firms, research institutions; focus on data modeling and analysisHospitals, clinics, research organizations; focus on data management and reporting
Employer & Industry UsageUsed in clinical research, drug development, and healthcare analyticsCommon in healthcare settings, research projects, and health data management

Entry Level Clinical Data Scientists and Clinical Data Analysts share similar educational backgrounds and work environments, often collaborating in healthcare and research settings. The main difference lies in their focus: data scientists emphasize advanced modeling and predictive analytics, while data analysts concentrate on data management and reporting. Both roles are essential for clinical research and healthcare data analysis, with overlapping skills and certifications.

What are the key skills and qualifications needed to thrive as an Entry Level Clinical Data Scientist, and why are they important?

To thrive as an Entry Level Clinical Data Scientist, you need a solid background in statistics, data analysis, and life sciences, typically supported by a bachelor’s or master’s degree in a related field. Familiarity with statistical programming languages (such as Python or R), data visualization tools, and clinical trial management systems is often required. Strong problem-solving abilities, attention to detail, and the capacity to communicate complex data clearly are vital soft skills. These competencies enable accurate analysis, effective collaboration, and reliable insights that drive evidence-based healthcare decisions.

What does an Entry Level Clinical Data Scientist do?

An Entry Level Clinical Data Scientist assists in collecting, processing, and analyzing clinical trial data to support research studies in healthcare and pharmaceuticals. They work closely with senior data scientists, biostatisticians, and clinical teams to ensure data quality and integrity. Their responsibilities often include cleaning datasets, running statistical analyses, and creating reports that help guide clinical decision-making. This role is ideal for individuals with a background in statistics, life sciences, or computer science who are interested in applying data skills to improve patient outcomes.

What are the typical responsibilities of an Entry Level Clinical Data Scientist and how do they contribute to clinical research studies?

As an Entry Level Clinical Data Scientist, you will primarily work on collecting, cleaning, and organizing clinical trial data to ensure its accuracy and integrity. You’ll collaborate closely with clinical research associates, statisticians, and data managers to support the preparation of data for analysis and regulatory submissions. Your daily tasks may include running data validation checks, preparing summary reports, and assisting with database setup. This role is crucial for maintaining high data quality, which directly impacts the reliability of clinical research outcomes and patient safety.
More about Entry Level Clinical Data Scientist jobs
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Entry Level Clinical Data Scientist jobs near you
Infographic showing various Entry Level Clinical Data Scientist job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 2% Temporary, and 16% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Clinical Data Scientist

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA • On-site, Remote

$130K - $160K/yr

Full-time

Posted 4 days ago

Job description

Clinical Data Scientist

Job Summary

The RedSail Technologies Network Services Business Unit has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties

  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)

Education/Training

  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.

Required Work Skills/Experience

  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.

Preferred Work Skills/Experience

  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.

Discretionary Judgement

  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.

Physical Demands/Working Conditions/General Employment

  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.

Equipment

  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.

Safety to Self and Others

  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.

Working Conditions/Hazards

  • Position is performed in an open office environment or approved remote work location.

Salary Range

  • $130,000-$160,000

Work Location

  • RedSail Office Hybrid

Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.

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