Medical Affairs, Data Analyst (Healthcare & Scientific) at Guardant Health
Palo Alto, California, USA -
Full Time


Start Date

Immediate

Expiry Date

18 Sep, 25

Salary

198250.0

Posted On

20 Jun, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Communication Skills, R, Epidemiology, Oncology, Data Science, Sas, Teams, Research, Statistics, Analytical Techniques, Mathematics, Algorithms, Outcomes Research, Data Analytics

Industry

Hospital/Health Care

Description

Company Description
Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer. For more information, visit guardanthealth.com and follow the company on LinkedIn, X (Twitter) and Facebook.
Job Description
This role will report to the Senior Director of Publications within Medical Affairs and will support the Real-World Data/Evidence (RWD/E) activities of Guardant Health. The ideal candidate will have a strong background in analyzing both quantitative and qualitative data, and will be responsible for generating insights and evidence analytics across various domains – including observational research, reimbursement and payer evidence generation, clinical development, key opinion leaders (KOL) research requests related to oncology diagnostics, and contribute in the development of scientific publications.

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
  • 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
    Additional Information
    Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.
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 specialists 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 conference abstracts, posters for scientific conferences, peer-reviewed manuscripts, and white papers
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