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Entry Level Clinical Data Scientist Jobs (NOW HIRING)

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Associate Scientist, Data II

North Chicago, IL · On-site

$56K - $57K/yr

We are seeking an experienced AI Data Scientist II to join our innovative FAiM Team at AbbVie ... In this role, you will leverage cutting-edge AI technologies to transform our clinical data ...

PhD required, with focus in clinical psychology, data science, or related field preferred How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as ...

New

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help ... clinicians, educators, and institutions unlock knowledge that can improve lives around the world.

New

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... Knowledge of health or dental insurance, or of dental clinical practice preferred. Position ...

Clinical Data Manager Location: Durham, NC Duration: 09 Months contract (Potential temp to Perm ... Bachelor's degree in management information systems or other computer-related, science-related ...

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... Knowledge of health or dental insurance, or of dental clinical practice preferred. Position ...

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

The Data Scientist will lead and support various analytical projects, utilizing machine learning ... Lincare was founded on the belief that through patient education and clinical support, we can ...

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

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Entry Level Clinical Data Scientist information

See salary details

$46K

$165K

$243.5K

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
What cities are hiring for Entry Level Clinical Data Scientist jobs? Cities with the most Entry Level Clinical Data Scientist job openings:
What are the most commonly searched types of Clinical Data Scientist jobs? The most popular types of Clinical Data Scientist jobs are:
What states have the most Entry Level Clinical Data Scientist jobs? States with the most job openings for Entry Level Clinical Data Scientist jobs include:
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.

88-50100571 Analytical Data Scientist

F. Hoffmann-La Roche AG

San Jose, CA • On-site

$147K - $197K/yr

Full-time

Posted 10 days ago


Job description

The Position
Genentech, Inc. seeks an Analytical Data Scientist at its South San Francisco, CA location.
Duties: As a key contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables using advanced statistical and mathematical concepts. Support development and validation of datasets and statistical outputs for clinical studies, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs), by following established internal standards and using validated programming tools. Create and validate datasets in accordance with Study Data Tabulation Model and Analysis Data Model standards, ensuring compliance with regulatory requirements and company standards. Support regulatory submissions and play a critical role in generating data insights through platforms such as the Insight Engine, enabling real-time exploration and interpretation of diverse clinical and exploratory data. Contribute to program creation statistical analysis system language and analysis of a broader range of data types, including biomarker and exploratory datasets, to support scientific discovery beyond regulatory submissions. Construct predictive models, algorithms, and probability engines to support data analysis and product functions, and support exploratory analyses across disease areas to assist in developing visualizations or dashboards for data exploration using interactive applications and data insights platforms. Collaborate with senior programmers to understand study requirements and execute assigned programming tasks; partner with biostatisticians, clinicians, medical services, and clinical data management staff in establishing standards for clinical data collection, management, and reporting of data. Participate in documentation and quality control activities, contributing to reproducible and accurate outputs and ensuring alignment with programming specifications; responsible for data integration used for clinical summaries and the creation and quality control of statistical submission components to regulatory agencies. Apply expertise in manipulating and analyzing various data types related to clinical trials such as patient characteristics, lab values, and imaging (may also include digital health, genomic data, and biomarkers). Implement data management plans designed to meet project and protocol deadlines. Recognize inconsistencies and initiate resolution of data problems. Work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding. Work cross-functionally with stakeholders, including biostatistics, data management, and clinical operations, to define analysis plan, timelines and deliverables. May telecommute up to 2 days per week.
Education and experience required: Master's degree, or foreign equivalent, in mathematics, statistics, biological sciences, computer science, data science, or related field and one (1) year of experience as a Biostatistician, Data Scientist, Statistical Programmer, Analyst or related position
Special Requirements: Academic or professional experience must include:
  • Pharmaceutical and drug development industry knowledge
  • Real-world big data analysis, statistical computing and statistical analysis skills including Bayesian analysis and survival analysis
  • Knowledge of CDISC (Clinical Data Interchange Standards Consortium) data standard
  • Version control and Command Line Interface (CLI) commands such as git, gitlab, or github
  • R programming including R shiny, R markdown, and Tidyverse
  • SAS Programming
  • Python Programming
  • Machine Learning and Natural Language Processing
  • Business Intelligence (BI) data visualization platforms Tableu or PowerBI
  • SQL (Structured Query Language) and ETL (Extract-Transform-Load) pipeline

#LI-DNI #DNI #DE-DNI
The expected annual salary range for this position based on the primary location for this position of California is $147,192 to $197,500 per year. Actual pay within the range will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits (https://roche.ehr.com/default.ashx?CLASSNAME=splash)
Worksite: 1 DNA Way, South San Francisco, CA 94080
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.