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ClinChoice · 1 month ago

Senior Real-World Data Scientist/Analytics Consultant (Clinical or pharmaceutical industry experience is required)-(Remote)

United States

Full-time

Remote

Senior Level

3+ years exp

ClinChoice is a leading global CRO, dedicated to supporting clinical trials and real-world evidence research. They are seeking a Senior Real-World Data Scientist/Analytics Consultant to lead analytical efforts across diverse therapeutic areas for a high-profile sponsor, ensuring quality standards and methodological rigor in Real World Data research.

BiotechnologyConsultingHealthcarePharmaceuticalHealth Care

H1B Sponsor Likely

Responsibilities

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

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

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)

Qualification

Real World Data (RWD) analysisStatistical programmingRSASSQLPythonPropensity score analysisMachine learningLASSODecision TreesRandom ForestXGBoostOHDSI tool setDARWIN tool setEpidemiologyOutcomes researchBiomarker/genomic dataHealthcare databasesClaims databasesElectronic Health RecordsOMOP Common Data Model (CDM)Psychometric validationStatistical analysis plan developmentProtocol developmentManuscript developmentStudy designJiraAzure DevOps (ADO)Oncology observational studiesClinico-genomic data

Required