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

ClinChoice

8h•Remote

About The Position

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.

Requirements

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
SAS/SQL required

Nice To Haves

CCloud-based SQL is desirable
Tableau or Power BI or other graphics tool is a plus
additional experience with R beneficial

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 R
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)
Oncology Specific: Experience in oncology observational studies, experience in Flatiron and ConcertAI, understanding of programming logic in lines of therapy
Molecular Epi Specific: 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
HEOR Specific: Experience with health economics and outcomes research (HEOR) methodologies, including cost analysis, burden of illness studies, and comparative effectiveness research.