Senior Engineer – Data and Analytics
| Company | Lyell Immunopharma |
|---|---|
| Location | Bothell, WA, USA, San Bruno, CA, USA |
| Salary | $150000 – $175000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Python required; must have strong programming skills
- Strong experience with AWS services; Implementing data pipelines, using AWS technologies
- Managing data on S3 data lakes, SQL data warehouses (PostgreSQL), or NoSQL systems
- Strong data modeling skills; Experience with serverless technologies, such as AWS Lambda
- Implementing microservices with Docker
- Experience designing and implementing backend REST services and business logic with various application frameworks
- Building reports and dashboards in Tableau
- Experience and discipline with source control repositories (Github)
- Strong proficiency in SQL and database management including data extraction, transformation and loading (ETL) processes
- Excellent oral and written communication skills
- Ability to work independently and collaboratively among cross-functional teams, with a particular understanding for and drive to solve data issues faced by research and clinical scientists.
- Ability to work efficiently, prioritize workflow, meet deadlines and balance competing priorities.
- Excellent analytical skills and scientific/technical expertise.
Responsibilities
- Design and implement Lyell’s cloud-based Data Analytics Platform
- Define data models, and implement robust data pipelines that push data from instruments in the lab up to the cloud, transform the data, and enable analytics and dashboards
- Work collaboratively in cross-functional groups, such as IT, biological sciences, clinical, and manufacturing.
Preferred Qualifications
- Degree in Computer Science, Math, Physics, or biological sciences is preferred, but not required
- Technology, Business Analytics or related field with a minimum of 5 years.
- AWS, Tableau or other relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus.
- An interest in biological sciences
- A good understanding of IoT
- Experience working with UX designers (ability to create UX designs and wireframes)
- Experience reading and understanding data models
- Experience with clinical trial data
- Demonstrated leadership skills, including presentations of product vision to executives to get buy-in.