Medical Affairs – Data Analyst – Healthcare & Scientific
| Company | Guardant Health |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- Advanced degree (Masters, PhD) in relevant field of study (outcomes research, epidemiology, statistics, advanced data science and/or analytics, mathematics or other relevant) is required
- 8+ years of relevant experience in health related outcomes research in the pharmaceutical or biotechnology or device environment
- Strong proficiency in R (preferred), Python, or SAS, including hands-on experience writing statistical programs
- Demonstrated ability to work in teams in a highly matrixed environment
- Extensive experience in real-world data analytics, observational research study design, execution and outcome research studies
- Able to adapt to novel methodological approaches to outcomes research in a rapidly advancing field of study
- Excellent written and verbal communication skills; ability to clearly articulate and synthesize evidence to both technical and non-technical audiences
Responsibilities
- Design, develop, oversee and execute RWE studies in support of clinical utility, health outcomes and economic value across all Guardant Health oncology diagnostics products, in collaboration with the Medical Affairs field team, cross-functional partners, and external key opinion leaders (KOLs)
- Collaborate closely with cross-functional teams to align real-world data/evidence (RWD/E) strategies and data visualization, translating scientific and clinical needs into actionable insights and ensuring the delivery of high-impact analytics and outcomes
- Independently develop, validate and execute statistical programs within standard statistical software packages such as R, python, SAS and advanced analytics methods, and prepare materials for presentation to internal and external specialist and generalist audiences
- Present study results and communicate complex data in a clear, compelling way to external stakeholders including KOLs, academic collaborators, internal collaborators and policy-makers
- Partner with internal and external KOLs in developing scientific publications including conferences abstracts, posters for scientific conferences and peer-reviewed manuscripts and white papers
Preferred Qualifications
- Experience in oncology, diagnostics field, or precision medicine is a strong plus
- Experience in designing and deploying advanced analytical techniques and algorithms to derive insights from internal and external healthcare data sources