ClinChoice
Healthcare
SeniorReal-WorldDataScientist/AnalyticsConsultant
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Real-World Data Scientist/Analytics Consultant at ClinChoice. Skills: Real-World Data, Statistical programming, Machine learning, Observational research. Lead development of analysis specifications. Develop programs”
Industry & Context.
Analytical efforts
What They're Looking For.
Must Have
Master's degree in 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, Statistical programing proficiency (R, SAS, SQL, Python), Proficiency in SAS or R & SQL is a must, Experience with complex statistical programing, Experience applying machine learning methods with RWD, Experience with OHDSI or DARWIN tool sets in R, Experience with healthcare databases, Experience with OMOP CDM or similar common data model framework, Knowledge of US/international data sources, Project Implementation capability, Statistical analysis plan development, Protocol / manuscript development, Study design and execution, Cross-functional team collaboration, Track and update work in Jira or ADO
Nice to Have
PhD preferred, Oncology Specific: Experience in oncology observational studies, Oncology Specific: Experience in Flatiron and ConcertAI, Oncology Specific: Understanding of programming logic in lines of therapy, Molecular Epi Specific: Cloud-based SQL is desirable, Molecular Epi Specific: Experience with Clinico-genomic multi-modal data, Molecular Epi Specific: Experience with population biobank data, HEOR Specific: additional experience with R beneficial, HEOR Specific: Experience with health economics and outcomes research (HEOR) methodologies, Tableau or Power BI or other graphics tool is a plus
What You'll Do.
Lead development of analysis specifications
Provide technical guidance for RWD research
Ensure quality standards
Ensure methodological rigor
Develop patient cohorts
Validate key variables
Lead RWD analysis strategy
Lead RWD analysis execution
Lead development of technical specifications
Lead study methodology development
Program independently
Work with complex data structures
Work with study design
Perform complex programming
Perform propensity score analysis
Perform lines of therapy analysis
Perform Sankey diagram analysis
Perform machine learning analysis
Apply machine learning methods
Review technical review
Contribute to technical review
Execute project implementation
How You'll Work.
Team & Collaboration
Cross-functional team collaboration
Communication Scope
Communicate complex analyses
Process & Methodology
Management of project timelines, Management of deliverables
Full Job Description
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 Scientist/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 Scientist/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 (suc
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