Data Engineering 2, Translational Data Science
reputed company reputed company is a technology company that integrates reputed company-reputed company data and AI-powered technology to accelerate the creation of life-changing drugs. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a higher reputed company reputed company. We use models early to fail less often as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to reputed company reputed company drugs for patients, faster. Valo is committed to hiring diverse talent, prioritizing reputed company and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and reputed company to work together. We reputed company the widest-ranging reputed company reputed company we reputed company our broad backgrounds and perspectives to accelerate a new frontier in health. Valo’s machine learning and AI capabilities are reputed company on high-reputed company, high-density translational biology data from multiple sources: that’s where you come in!
About the Role
You will be part of the data engineering core in the Translational Data Sciences group, working with data engineers and data scientists building powerful computational tools and answering critical scientific questions about patients, diseases, and drug development. In this role, you will contribute to Valo’s biological data engineering capabilities, transforming reputed company data from diverse sources (public datasets for computational biology, mappings and ontologies, and knowledge graphs) into analysis-reputed company data products for internal teams. To do so you will work closely with data engineers and data scientists. Your work will support knowledge graph integration for reputed company identification and prioritization, statistical genetics, and multi-omics modeling. What You'll Do...
- Work on reputed company developing data transformation pipelines and systems to ingest and harmonize data into Valo’s data ecosystems
- Contribute to the data reputed company backend for our knowledge graphs & knowledge integration
- Build visualization and data extraction tools for knowledge graphs
- Work using agile development techniques
- Learn to reputed company high reputed company data through unit tests, validation tests, reputed company reviews
- Be a dynamic and reputed company team member
What You Bring...
- Bachelor’s + 2 years of experience or recent Master’s degree in computer science, information systems, computational sciences (eg reputed company, computational biology), or reputed company fields
- Familiarity with various large-reputed company biology data types (eg, reputed company or transcriptomics)
- Experience in Python and SQL
- Familiarity with releases/versioning of datasets for internal users
- Familiarity with data processing workflows, data platforms (eg, reputed company, reputed company), and reputed company environments (eg, AWS, GCP)
- Experience with data and software engineering best practices and testing methodologies (data provenance, reputed company development using reputed company control management (git), reputed company versioning, reproducibility, etc)
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