Valo Health

Data Engineer II, Translational Data Science

Remote

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Pharmaceuticals, Biotechnology, Health TechIndustries

Job Description

Salary: Not Specified Location Type: Not Specified Employment Type: Not Specified


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™

Skills

Data Engineering
EHR Data Processing
Data Transformation
Structured and Unstructured Data Handling
Analysis-Ready Data Products
Collaboration with Data Scientists
Epidemiology
Patient Clustering
Biomarker Analysis

Valo Health

Drug discovery using machine learning technology

About Valo Health

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.

Boston, MassachusettsHeadquarters
2019Year Founded
$474.2MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, BiotechnologyIndustries
51-200Employees

Risks

Leadership changes may impact Valo's strategic direction and decision-making.
Heavy reliance on Novo Nordisk partnership poses financial risks if expectations aren't met.
Intensifying competition in AI-driven drug discovery could challenge Valo's market position.

Differentiation

Valo Health integrates AI and human-centric data for drug discovery and development.
The Opal Computational Platform offers an end-to-end solution for drug discovery.
Valo's approach combines machine learning, tissue biology, and patient data for precision therapeutics.

Upsides

Valo's partnership with Novo Nordisk could yield up to $4.6 billion in milestone payments.
The growing market for AI-driven drug discovery platforms supports Valo's business model.
Strategic partnerships with pharmaceutical companies enhance Valo's revenue and market reach.

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