BenchSci
BenchSci is a company that specializes in providing a cutting-edge platform for pharmaceutical research and development. Their platform, ASCEND, is a science-first generative AI assistant designed to accelerate drug discovery by unraveling disease biology across various therapeutic areas. ASCEND is powered by an evidence engine that utilizes ontologies and multi-modal AI, providing powerful GenAI with scientific explainability. The company boasts access to a comprehensive biomedical dataset and offers scalable, enterprise-grade software solutions to integrate internal pharma data securely. BenchSci combines the expertise of over 100 scientists with the skills of engineers and AI experts to deliver innovative solutions in pharma R&D.
Antibody • Research • Machine Learning • Online Platform • Science
Senior Data Engineer
September 4, 2024
BenchSci
BenchSci is a company that specializes in providing a cutting-edge platform for pharmaceutical research and development. Their platform, ASCEND, is a science-first generative AI assistant designed to accelerate drug discovery by unraveling disease biology across various therapeutic areas. ASCEND is powered by an evidence engine that utilizes ontologies and multi-modal AI, providing powerful GenAI with scientific explainability. The company boasts access to a comprehensive biomedical dataset and offers scalable, enterprise-grade software solutions to integrate internal pharma data securely. BenchSci combines the expertise of over 100 scientists with the skills of engineers and AI experts to deliver innovative solutions in pharma R&D.
Antibody • Research • Machine Learning • Online Platform • Science
📋 Description
• Scale data pipelines to allow our data to go from research to platform quickly and reliably • Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge Graph • Integrate public life science data into the biological ontology in our Knowledge Graph • Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges • Seek out leadership opportunities and act as a Technical DRI on multiple projects/epics • Design testable, scalable solutions to complex problems using the latest frameworks and tools • Use your experience and knowledge to help define and apply best practices for a broad platform of technologies in a cloud-based environment • Write and review engineering design proposals in accordance with BenchSci’s engineer best practices • Contribute to your team’s processes including sprint planning, task estimation, and code review • Work both independently and in pair-programming settings within an agile team of talented engineers to solve interesting data problems • Be given an unmatched opportunity for growth, and to learn from a team of outstanding engineers • Liaise closely with stakeholders from other functions including product and science • Feel challenged and engaged as you're exposed to new opportunities to require you to push yourself
🎯 Requirements
• Degree in Software Engineering, Computer Science, or a similar area • 5+ years of experience working as a professional data engineer in industry • Expertise with Python coding and type system • Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus) • Experience with building both batch and streaming ETL pipelines using data processing engines • Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services • A strong background in data modeling, data structures, and large-scale data manipulation/transformations • A can-do proactive and assertive attitude • You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines • Outstanding verbal and written communication skills • Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teams • Experience executing as part of high-performance engineering teams using industry-standard software delivery practices • Proficient with agile processes (sprint planning, estimation, retros, standups, etc.) • Ideally, you have worked in the scientific/biological domain • A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering
🏖️ Benefits
• Growth and mentorship opportunities • Work with a world-class team • Engaging work environment
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