1051-Senior Data Scientist/Data Analyst – Real-World Data(RWD)-REMOTE in Ireland

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 searching for a Senior Data Scientist/Data Analyst Consultant to join us.

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.  

Main Job Tasks and Responsibilities: 

The Senior Data Scientist/Analyst will lead and execute complex analyses using Real-World Data (RWD) across multiple therapeutic areas. This individual will play a critical role in study design, protocol development, and advanced analytics to inform clinical, epidemiological, and health economics research strategies. The ideal candidate brings both deep technical expertise and a strategic mindset to collaborative, cross-functional research environments.

Key Responsibilities: 

Real-World Data Analysis & Study Leadership
•    Lead the design, implementation, and interpretation of complex RWD studies (e.g., cohort studies, safety analyses, feasibility assessments).
•    Contribute to and review study protocols and Statistical Analysis Plans (SAP) alongside epidemiologists and cross-functional partners.
•    Provide strategic input to ensure that study designs align with business goals and are analytically sound, given available data sources.
•    Execute analyses using large-scale RWD (claims, charge master, EHR) with R or SAS; lead development of Tables, Figures, and Listings (TFLs).
•    Present findings to scientific, clinical, and business stakeholders with clear interpretation of results and strategic recommendations.
•    Serve as a senior analytics representative on cross-functional study teams and act as a point-of-contact for analytics-related queries.
Oversight, Quality, and Communication
•     Oversee the programming and quality control of analytic deliverables; ensure reproducibility, transparency, and proper archiving.
•    Conduct or oversee QC of outputs generated by junior analysts or peers, as requested by Therapeutic Area (TA) Leads.
•    Provide regular updates to TA Analytics Leads and senior stakeholders on project progress, data issues, and prioritization.
Cross-Functional Analytical Support
Support broader enterprise needs across the following specialized areas:

A. Health Economics & Outcomes Research (HEOR) / PRO
•    Conduct and oversee HEOR analyses, including cost-of-illness, burden studies, comparative effectiveness research.
•    Work with stakeholders to incorporate patient-reported outcomes (PRO) and economic endpoints into RWE strategies.
•    Leverage SAS and SQL for data processing and HEOR model development.

B. OMOP CDM / OHDSI Analytics
•    Lead or support studies using OMOP CDM data and OHDSI tools, ensuring adherence to data standards and methodological rigor.
•    Translate research questions into OHDSI-compatible analyses using ATLAS, R packages, and custom tooling.
•    Contribute to the customization of OHDSI applications and address technical issues through collaboration with engineering teams.
•    Lead or participate in multi-database network studies using U.S. and ex-U.S. RWD assets.

C. Methods & Innovation
•    Co-develop advanced methodological research in partnership with epidemiology, safety, and biostatistics teams.
•    Design, validate, and refine phenotype algorithms for RWD-based studies.
•    Build cohorts and analytic pipelines to address key methodological challenges using claims and EHR data.
•    Coauthor scientific abstracts, posters, and manuscripts for peer-reviewed publication.

Education and Experience:

•    Advanced degree required: PhD or Master’s in Biostatistics, Epidemiology, Health Economics, Data Science, Computer Science, Public Health, or a related quantitative discipline.
•    Minimum 6–8 years of hands-on experience in RWD analysis, epidemiology, or health economics research in a pharmaceutical, academic, or consulting setting.
•    Proven expertise in R, SAS, and/or SQL for data processing and statistical modeling.
•    Experience with claims, EHR, or other healthcare databases, including knowledge of the OMOP CDM framework and OHDSI tools (ATLAS, Prometheus).
•    Familiarity with HEOR methodologies, study design, and outcomes research best practices.

The Application Process

Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.

Who will you be working for?

About ClinChoice

ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.           

Our Company Ethos

Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry-average turnover rates.

ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.

#LI-TT1 #LI-Remote #Senior #Contract