Target RWE · 3 weeks ago
Senior Quantitative Data Scientist
Target RWE is a purpose-driven organization focused on leveraging real-world data to advance clinical research and improve healthcare decisions. The Senior Quantitative Data Scientist will establish data as a trusted scientific asset, applying advanced analytic methods to generate reliable evidence while collaborating with cross-functional teams to align data strategies with business goals.
BiotechnologyHealth Care
Responsibilities
You will establish Target’s data as a trusted, validated scientific asset
Ensure Target’s data are accurate, complete, and fit for regulatory and scientific use by building systems and practices that establish trust in data integrity and readiness for analysis
Develop deep expertise in Target’s data, understanding its structure, provenance, strengths, and limitations
Design and implement validation frameworks, data quality checks, and 'fitness-for-use' assessments
Create and maintain data dictionaries and documentation that promote transparency and reproducibility
You will apply advanced analytic methods and scientific rigor to generate reliable, reproducible, and regulatory-grade real-world evidence from Target’s data assets
Support the design and execution of retrospective and prospective studies using Target’s data assets
Develop statistical analysis plans and analytic code for descriptive, comparative, and predictive analyses
Design and implement scalable, reusable analytic frameworks and modular code structures that support consistent execution across therapeutic areas and data products
Apply best practices in methodology, version control, code review, and documentation to ensure reproducibility
Translate complex results into clear visualizations and insights for scientific, regulatory, and client audiences
Contribute to publications, abstracts, and collaborations that advance Target’s scientific reputation and influence
You will work cross-functionally to connect data, science, and strategy, ensuring Target’s evidence generation aligns with customer needs and business goals
Partner closely with Commercial, Medical Science, Product, Data Insights, Engineering, and Clinical Operations teams to align on data strategy and analytic priorities
Serve as the internal 'voice of the customer,' anticipating how clients, regulators, and researchers will use Target’s data
Participate in client and partner meetings to demonstrate the validity and value of Target’s data products
Leverage your deep knowledge of Target’s data assets to guide internal teams and external partners, anticipating analytical and operational challenges and helping to shape data use strategies
Translate analytic findings and data characteristics into clear, client-facing materials that demonstrate Target’s data quality, representativeness, and scientific utility
Qualification
Required
Advanced degree (MS or PhD) in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field
5-10+ years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data)
Strong programming expertise in R, and experience with reproducible analytic frameworks
Proven expertise in data quality assessment, validation, and curation workflows
Demonstrated ability to build and maintain reproducible coding practices and scalable analytic processes that enable efficiency, transparency, and consistency across studies
Strong communication, presentation and collaboration skills with cross-functional technical and scientific teams
Demonstrated ability to translate data insights into actionable scientific or business recommendations
Benefits
Comprehensive health, dental, and vision for you and your family
401(k) with company match
Generous PTO and company holidays
Paid parental leave
Company
Target RWE
Target RWE is a provider of Biotechnology services.
H1B Sponsorship
Target RWE has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
unknown2025-01-07Acquired
Leadership Team
Recent News
2025-11-25
2025-11-07
2025-11-04
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