Senior Real-World Data Analytics Consultant/Senior Data Scientist Consultant (Remote)

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 Real-World Data Analytics Consultant to join one of our clients. 

ClinChoice is a leading global CRO, dedicated to supporting clinical trials and real-world evidence research with a focus on exceptional quality, career development, and a supportive culture. As we expand our presence and offerings, we’re looking for an experienced  Senior Real-World Data Analytics Consultant to join our dynamic team and lead analytical efforts across diverse therapeutic areas for a high-profile sponsor.

Core Function Description: 

Lead development of analysis specifications, develop programs, and conduct analyses while providing technical guidance for Real World Data (RWD) research. Ensure quality standards and methodological rigor across projects through development of patient cohorts and validation of key variables. 

Required Experience: 

• Leadership of RWD analysis strategy and execution 

• Lead development of technical specifications and study methodology 

• Statistical programing proficiency (R, SAS, SQL., Python) 

• Oversight of quality control processes 

• Cross-functional team collaboration 

• Management of project timelines and deliverables  

• Development of best practices and standards 

• Demonstrated ability to communicate complex analyses to non-technical stakeholders 

Technical Expertise 

• Proficiency in SAS or R  & SQL is a must, expectation to be  programming independently, creating packages, taking requirements, writing specifications, work with complex data structures and study design. 

• Experience in more complex programming, such as propensity score analysis, lines of therapy, Sankey diagram, machine learning 

• Experience with complex statistical programing, such as propensity score matching 

• Experience applying machine learning methods (such as LASSO, DT, RF, and XGBoost) with RWD 

• Experience with OHDSI or DARWIN tool sets in RSubject Matter Expertise 

• Understanding of epidemiology / outcomes research, experience with study design and execution, Biomarker/genomic data sources 

• Experience with healthcare databases: 

• Claims (examples include Optum, MarketScan, Pharmetrics+, HealthVerity, CPRD) 

• Electronic Health Records (examples include IQVIA, Flatiron, Concert AI, TriNetX) 

• Experience with OMOP CDM or similar common data model framework 

• Knowledge of US/international data sources 

• For clinical trial analysis specifically, experience with psychometric validation 

• Project Implementation capability (reviewing, contributing to technical review and suggesting edits, executing) in the following are expected 

• Statistical analysis plan development 

• Protocol / manuscript development  

• Study design and execution 

• Cross-functional team collaboration 
• Being able to track and update work in a software (Jira or ADO) 

Minimum Qualifications 

• Master’s degree is Biostatistics, Epidemiology, Data Science, Bioinformatics, or related field with 5-8 years of relevant post-graduation experience or PhD with 3+ years post-graduation experience  

• Advanced expertise in statistical programming and observational research methods 

• Comprehensive experience with healthcare data sources and analysis 

• Proven ability to lead projects autonomously in a matrix environment 

• Track record of managing priorities and performance targets 

Additional requirements may include:  

• Oncology Specific: Experience in oncology observational studies, experience in Flatiron and ConcertAI, understanding of programming logic in lines of therapy 

• Molecular Epi Specific: 

• CCloud-based SQL is desirable 

• Experience with Clinico-genomic multi-modal data (e.g. Tempus AI) or population biobank data (UK biobank) 

• Experience and comfort to multitasking and working in a matrix environment 

• Tableau or Power BI or other graphics tool is a plus 

• HEOR Specific:  

• SAS/SQL required, additional experience with R beneficial 

• Experience with health economics and outcomes research (HEOR) methodologies, including cost analysis, burden of illness studies, and comparative effectiveness research .

The Application Process

Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for 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 is the core instrument 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.

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