Data Engineer II, Translational Data Science

Valo Health; United States; Remote; USD 125,000 - 170,000; Full time

Job summary

Valo Health is seeking a Data Engineer to join their Translational Data Sciences group. The role involves transforming data into analysis-ready products, contributing to projects related to epidemiology and patient insights, and utilizing agile development approaches. Candidates should have a strong background in Python and SQL, along with experience in handling various clinical data types.

Qualifications

• 2+ years of experience or recent Master's degree in Computer Science or related field.
• Familiarity with clinical data types.
• Experience with data engineering best practices and testing methodologies.

Responsibilities

• Develop data transformation pipelines to harmonize data.
• Contribute to the data source backend for epidemiology and patient machine learning.
• Build visualization and data extraction tools.

Skills

Python

SQL

Data Processing Workflows

Collaborative Development

Education

Bachelor’s degree in Computer Science or related fields

Master’s degree in related fields

Tools

PostgreSQL

MySQL

AWS

GCP

Spark

Snowflake

Job description

About Us

Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform 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 achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?

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 EHR data engineering capabilities, transforming structured and unstructured data from proprietary sources into analysis-ready data products for internal teams. To do so you will work closely with data engineers and data scientists supporting epidemiology, patient clustering, and biomarker identification.

What you’ll do

• Work on a team developing data transformation pipelines and systems to ingest and harmonize data in Valo’s data ecosystems.
• Contribute to the data source backend for our epidemiology and patient machine learning.
• Build visualization and data extraction tools.
• Work using agile development techniques.
• Learn to provide high quality data through unit tests, validation tests, code reviews.
• Be a dynamic and active team member.

What you bring

• Bachelor’s + 2 years of experience or recent Master’s degree in computer science, information systems, computational sciences (e.g. bioinformatics, computational biology, epidemiology), or related fields.
• Familiarity with various clinical data types (e.g., EHR/EMR, clinical trials, claims).
• Familiarity with any medical coding systems is a plus, (e.g. ICD9/10, CPT, ATC, LOINC, SNOMED, UMLS).
• Must have experience in Python and SQL (e.g. PostgreSQL, MySQL, etc.).
• Familiarity with releases/versioning of datasets for internal users.
• Familiarity with data processing workflows, data platforms (e.g., spark, snowflake) , and cloud environments (e.g., AWS, GCP).
• Experience with data and software engineering best practices and testing methodologies (data provenance, collaborative development using source control management (git, bitbucket), code versioning, reproducibility, etc.).

More on Valo

Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visit www.valohealth.com.

Remote Salary Range

$125,000—$170,000 USD