EXO Therapeutics

Co-op, Data Engineer

Cambridge, Massachusetts, United States

About the company

Exo Therapeutics (https://exo-therapeutics.com/) is a privately held small molecule drug discovery and development company with a pioneering technology to address intractable pharmaceutical targets. By leveraging the company’s ExoSightTM platform, Exo is developing a deep pipeline of potent drug candidates that bind exosites, distal and unique binding pockets that have the potential to reprogram enzyme activity for precise and robust therapeutic effect. Through this specific and selective approach to challenging targets, the company’s team of world-class researchers is unlocking breakthrough therapeutics in oncology, inflammation and a broad range of other diseases.

Overview

Exo Therapeutics is seeking a highly motivated data engineer co-op to join our bioinformatics team. You will work in mining and organizing data sources, building the data analytical workflows and applications to enable oncology/immunology target discovery efforts.

The data engineer co-op will work under the supervision of the Director of Bioinformatics. The ideal candidate should have solid scientific, engineering, and statistical background with strong curiosity of applying knowledge and expertise in addressing problems in the biotech drug R&D setting.

Responsibilities

• Work with bioinformatics and chemoinformatics peers on internal datasets processing and formatting, data models definition.
• Explore and curate public data resources to continue building an exosite focused knowledgebase to empower novel target identification and evaluation.
• Help maintain and upgrade the current data processing pipelines wherever necessary.
• Work with the manager to establish the data ingestion, data analysis and application development SOP
• Design and establish the computational framework to build/integrate the knowledgebase and the computational pipeline to support new target nomination and prioritization.

Required Qualifications

• Passionate about applying your skills and knowledge in solving problems in the drug R&D setting
• Experience with setting up and using database or data warehouse, such as SQL, Redshift and snowflake is a plus
• MS/PhD candidate in a relevant field, such as bioinformatics, data science, data engineering
• Experience of working with large scale biomedical datasets and databases, such as uniprot, PDB database, Depmap, TCGA
• Experience with building and maintaining data processing and data analytical workflows

Job Duration

• Jun – Dec, 2023