Data Architect

Lead Data Architect

Seattle, WA

About Us

ShapeTX® is pioneering the field of programmable RNA medicines to repair the genetic causes of diseases. By merging innovations in AI and RNA technology to generate and analyze hundreds of billions of therapeutic possibilities, ShapeTX is developing breakthroughs in RNA editing, next-generation AAVs, and disruptive gene therapy manufacturing. The ShapeTX platform enables pharma innovators to design treatments across a wide range of diseases, including rare genetic disorders as well as debilitating conditions, such as Alzheimer’s, Parkinson’s, and many more. You can find us at shapetx.com and on LinkedIn and X.

At ShapeTX, we are a dynamic team of professionals who are dedicated and passionate about making cures a reality. Through diversity of thought, scientific knowledge, professional rigor and focus, we are merging cutting-edge science with extensive drug development expertise to unlock cures to many debilitating diseases.

Shape Therapeutics is headquartered in Seattle, Washington.

Position Overview

We’re focused on using generative AI to revolutionize gene therapy – from gene editing and delivery to expression and manufacturing. Great science needs great data infrastructure, and that’s where you come in. We’re building a team that values diverse perspectives, embraces complexity, and is committed to making a real difference in patients’ lives.

We’re looking for an exceptional technical architect who’s equally comfortable designing high-level systems and rolling up their sleeves to write code. As part of our Engineering team, you’ll help design and implement our biotech data ecosystem while collaborating closely with experimentalists and data scientists, as well as software, machine learning, and cloud engineers. This unique role combines strategic planning with hands-on development to build and maintain the automated, end-to-end data pipelines and services that power our best-in-class AI/ML and analysis capabilities. Whether your background is in information systems, software engineering, or bioinformatics, if you’re passionate about building robust data systems that advance scientific discovery, we’d love to chat!

What You’ll Do

• Design and implement the data architecture that will form the foundation of our biotech data ecosystem, including standardized pipelines for scientific datasets
• Develop automated ETL pipelines to handle complex scientific data from sequencing experiments, imaging instruments, manufacturing workflows, and electronic lab notebooks
• Partner with our experimental, computational, and machine learning teams to create data storage solutions that accelerate scientific discovery
• Architect and implement intelligent data lifecycle management, including automated archiving workflows
• Maintain detailed technical documentation for pipelines, models, and processes to ensure reproducibility and knowledge sharing
• Help establish data governance frameworks that enable team-wide collaboration
• Contribute to data modeling initiatives and establish metadata standards to ensure our data assets are FAIR
• Work cross-functionally to ensure our data solutions comply with security and compliance requirements

What You Bring

• Bachelor's degree in Information Systems, Computer Science, Data Science or related field (Advanced degrees are a plus)
• 5+ years of experience building and implementing data systems, with exposure scientific or biotech domains preferred
• Extensive experience with relational and non-relational databases (PostgreSQL, MySQL, MongoDB, etc.)
• Proficiency in Python and modern data engineering tools
• An ability to communicate effectively and collaborate with scientific teams
• Experience with or exposure to:
  • Cloud platforms (AWS) and data infrastructure
  • Scientific platforms (e.g., Benchling)
  • Enterprise data warehousing (e.g., Redshift, Snowflake, Databricks)
  • Modern data orchestration and pipeline tools (e.g. Apache Airflow, Prefect, etc.)
  • Scientific data standards (ADF, UDM)
  • Data visualization and analytics

Compensation & Benefits 

ShapeTX offers a robust benefits package, including but not limited to: Medical, Dental and Vision coverage for employees and their eligible dependents. We provide eligible employees with 12 paid Holidays plus a one-week winter break at year end. We are proud to offer a competitive paid parental leave benefit, an annual employee stipend for employees to use however they choose, a Flex Paid Time Off program (allowing flexible PTO for vacation, sick leave, and other purposes) and Company paid Long Term Disability. Employees are eligible to enroll in our Company’s voluntary 401k plan, voluntary Life/AD&D and Voluntary FSA’s.

The salary range for a Data Engineer is $120,000-$165,000. The hired applicant's placement within the range is based on qualifications and professional experience. Additional compensation may include annual target bonus and/or sign-on bonus, equity grant and relocation bonus.

This is an in-person or remote opportunity for candidates residing in WA, MA, CA, and UT.

Equal Opportunity Employment  

ShapeTX provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, ancestry, national origin, citizenship, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, familial or marital status, religion, age, disability or any other class or status protected by applicable laws.   

We aspire to Shape Life! not only through our science, but also through our commitment to foster an inclusive environment that supports diverse perspectives and experiences.