Sr. Data Engineer

About BridgeBio

BridgeBio is a biopharmaceutical company founded to discover, create, test, and deliver transformative medicines to treat patients who suffer from genetic diseases and cancers with clear genetic drivers. We bridge the gap between remarkable advancements in genetic science in academic institutions and the delivery of meaningful medicines to patients. Founded in 2015, the company has built a portfolio of 20+ drug development programs ranging from preclinical to late-stage development in multiple therapeutic areas including genetic dermatology, precision oncology, cardiology, endocrinology, neurology, pulmonology, and renal disease, with two approved drugs.

Our focus on scientific excellence and rapid execution aim to translate today’s discoveries into tomorrow’s medicines. We have U.S. offices in San Francisco, Palo Alto, and Raleigh, with small satellites in other parts of the country. We also have international offices in Montreal, Canada, and Zurich, Switzerland, and are expanding across Europe.

To learn more about our story and company culture, visit us at https://bridgebio.com

Who You Are

The Data Science and Operations team is seeking a full-time Senior Data Engineer to build and maintain critical data and compute infrastructure to support our drug discovery and development efforts. This role will play a key part in building scalable data pipelines, optimizing cloud-based storage and processing, and ensuring data accessibility for data science and machine learning applications. 

As part of the Computational Genomics group at BridgeBio, the Data Science and Operations team is dedicated to three key objectives:   

1. Discovering new opportunities for drug development through the analysis of human genetic data. 
2. Providing data science and bioinformatics support to core program affiliates.  
3. Building a data platform to facilitate data-driven decision-making in internal drug development. 

To achieve these goals, the team designs, develops, maintains, and operates software tools and data processing systems, enabling the analysis of scientific and business data for insightful discoveries. 

Responsibilities

• Architect & Develop Scalable Data Infrastructure: Design and implement robust, secure, and scalable data pipelines and infrastructure on AWS using EC2, S3, Athena, EKS, and other cloud-native services
• Optimize Data Processing: Leverage Apache Spark and Databricks to process large-scale datasets efficiently for analytics, reporting, and machine learning applications
• Automate Data Workflows: Build and maintain orchestration workflows using Apache Airflow to automate data pipelines
• Monitor & Optimize Performance: Continuously improve system reliability, performance, and cost efficiency through monitoring, logging, and infrastructure optimization
• Collaborate with Cross-Functional Teams: Work closely with computational biologists, experimental scientists, and colleagues in business development to provide accessible and high-quality data solutions

No matter your role at BridgeBio, successful team members are:

• Patient Champions, who put patients first and uphold strict ethical standards
• Entrepreneurial Operators, who drive toward practical solutions and have an ownership mindset
• Truth Seekers, who are detailed, rational, and humble problem solvers
• Individuals Who Inspire Excellence in themselves and those around them
• High-quality executors, who execute against goals and milestones with quality, precision, and speed

Education, Experience & Skills Requirements

• Minimum Education requirement 
  • Master’s degree or higher in Computer Science, Data Engineering, Information Systems, or a related technical field. 
• Relevant Experience  
  • 5+ years of experience as a Data Engineer, DevOps engineer or similar role.  
• Skills 
  • Expert knowledge with AWS cloud computing including hands on experience with the following services: 
  • EC2, S3 
  • Athena