Data Scientist with R programming skills and clinical trial exposure

ClinChoice

23d•Remote

About The Position

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts. We are seeking a motivated Data Scientist with hands-on R programming skills and clinical trial exposure to join one of our clients. The ideal candidate will have 2–3 years of experience working with clinical data and a strong foundation in statistical programming, data analytics, and visualization. This role offers an opportunity to work closely with cross-functional teams to support clinical data insights, reporting, and internal tool development.

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Biostatistics, Computer Science, or a related field.
2–3 years of experience working with clinical trial data in a pharmaceutical, biotech, or CRO environment.
Hands-on experience with R programming for data analysis, reporting, and visualization.
Working knowledge of Python, SQL, SAS, and Power BI.
Familiarity with EDC systems such as Rave, Veeva, or Medrio.
Basic understanding of clinical trial data domains, including biomarkers, imaging data, and patient-reported outcomes.
Strong communication skills and ability to work collaboratively in cross-functional teams.
Willingness to learn and grow in a client-facing clinical data role.

Nice To Haves

Exposure to relational databases and basic web technologies (HTML, CSS, JavaScript) is a plus.

Responsibilities

Support Clinical Data Management teams in the development and implementation of Data Transfer Specifications (DTS) based on study and client requirements.
Assist in building and maintaining ETL pipelines to extract, transform, and load clinical trial data from EDC systems (Rave, Veeva, Medrio).
Develop and maintain R (and basic Python) scripts for data ingestion, transformation, validation checks, and dashboard refreshes.
Perform routine data quality checks to ensure data accuracy, integrity, and traceability.
Conduct clinical data analysis using R under guidance from senior team members.
Develop and maintain Power BI dashboards integrating EDC and external data sources (labs, MRI, ECG).
Support creation of data models for study-level and subject-level reporting.
Apply basic statistical techniques and visualization methods in R to analyze clinical datasets.
Assist with data harmonization and normalization across multiple clinical data sources.
Contribute to the development and enhancement of internal tools supporting eCRF specification generation and clinical workflows.
Create reusable R scripts and functions to improve efficiency and standardization.
Assist in maintaining relational databases used for clinical data storage and reporting.
Support development of simple web interfaces (HTML, CSS, JavaScript) for internal tools.