Data Scientist / Senior Data Scientist
$160,000–$225,000 year
On-siteMenlo Park, California, United States
Job Summary
Develop and implement innovative data analysis pipelines, predictive models, and visualization tools to transform raw biological and healthcare datasets into actionable insights. Clean, preprocess, and curate diverse biological datasets while engineering appropriate data structures for machine and deep learning model deployment. Build high-quality custom software to support activities across technology groups and communicate complex results to stakeholders using advanced visualization techniques. Collaborate with cross-functional teams in biology, bioinformatics, and machine learning to extract valuable insights that improve user health outcomes. Contribute to interdisciplinary discussions to guide experimental design and data collection. This role sits at the forefront of AI-driven initiatives within the Data Science department, reporting to the CTO.
Required Qualifications
- A 4-year degree in a quantitative field such as statistics, math, computer science, physics, or engineering from an accredited college or university
- 4+ years proven experience in a data science or quantitative analysis role
- Demonstrable proficiency in handling and processing big data sets from various sources, including, SQL, relational DBMS and cloud services
- High proficiency in Python
- Extensive experience in applied statistics and machine/deep learning methods
- The ability to speak and write fluent English
Desired Qualifications
- Solid experience with other languages, such as R and Julia
- Experience with healthcare data and the regulatory environment associated with the application of AI
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