Company Overview

Terray is a biotechnology company with the technology, data, and mindset to radically change the way we discover and develop small molecule therapeutics. We explore molecules and targets broadly and deeply with a sophisticated integration of ultra-high throughput experimentation, generative AI, biology, medicinal chemistry, automation, and nanotechnology. Everything the company does is grounded in an iterative approach, producing massive amounts of precise, purpose-built data mapping interactions between small molecules and causes of disease that gets increasingly valuable with each cycle of design and experimentation. The company’s platform uniquely blends experimentation and computation to improve the cost, speed, and success rate of small molecule drug discovery and development.

Position Summary

Terray is currently seeking a motivated, creative, and experienced Software Engineer with a focus on backend development. As an integral member of our Computational and Data Science team, the candidate will be responsible for developing and maintaining the data pipelines and workflows that power our wet-lab and computational discovery platforms.

The core responsibilities of this position are:

• Build, maintain, and improve data pipelines for our computational platform, including imaging, decoding, screening, and other downstream processes
• Design database schemas and collaborate to implement data transfer and data storage solutions
• Write unit tests, assist with documentation, and participate in code review process

Experience and Qualifications

Part of Terray’s success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business. Terray supports a positive work environment where employees can feel engaged, recognized and empowered to be creative.

Required Qualifications

• BS/MS/PhD in Computer Science or related field
• Highly proficient in Python. Experience in the PyData stack is a plus (numpy, pandas, scipy, scikit-learn, etc.)
• Proficiency in working in a Linux environment
• Experience with SQL and interfacing with databases in code
• Familiar with AWS cloud resources
• Experience with pipeline/workflow managers (Luigi, Airflow, Nextflow, etc.) and services like Lambda and Batch
• Experience with building out database schemas
• Experience with container build and deployment systems like Docker
• Knowledge of coding best practices, including standards, reviews, version control, and unit testing

Compensation Details

$132,000 - $198,000 (annually) depending on seniority; participation in the Company’s option plan; 3% 401K contribution; full benefits.