Translational Medical Scientist
NateraFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree plus 2 years of experience or a recent Master’s degree in computer science, information systems, computational sciences, or a related field, and familiarity with various clinical data types such as EHR/EMR, clinical trials, and claims. Experience with Python and SQL, including proficiency in databases like PostgreSQL or MySQL, is required, along with familiarity with medical coding systems such as ICD9/10, CPT, ATC, LOINC, SNOMED, and UMLS. Experience with data processing workflows, data platforms like Spark and Snowflake, and cloud environments such as AWS or GCP is also necessary.
The Data Engineer II will contribute to the development of data transformation pipelines and systems to ingest and harmonize data within Valo’s data ecosystems, working closely with data engineers and data scientists. They will support the data source backend for epidemiology and patient machine learning, build visualization and data extraction tools, and adhere to agile development techniques. The role involves learning to provide high-quality data through unit and validation tests, participating in code reviews, and serving as a dynamic and active team member.
Drug discovery using machine learning technology
Valo Health focuses on drug discovery and development in the biopharmaceutical sector, utilizing advanced technology to create new drugs and therapies. The company employs its proprietary Opal Computational platform, which integrates machine learning, tissue biology, and patient data to streamline the drug discovery process. This platform allows Valo Health to identify potential drug candidates more quickly and accurately than traditional methods. Valo Health differentiates itself from competitors by combining technology with life sciences, fostering a collaborative culture that addresses significant challenges in drug development. The company's goal is to improve health outcomes for patients worldwide by delivering effective solutions through partnerships with pharmaceutical companies and research institutions.