Director of Data Engineering, Valo Health

Salary not provided
Redshift
Spark
Kubeflow
Snowflake
BigQuery
Expert level
Remote in US
Valo Health

Platform for drug development and discovery

Job no longer available

Valo Health

Platform for drug development and discovery

101-200 employees

HealthcareB2BEnterpriseMachine LearningSaaS

Job no longer available

Salary not provided
Redshift
Spark
Kubeflow
Snowflake
BigQuery
Expert level
Remote in US

101-200 employees

HealthcareB2BEnterpriseMachine LearningSaaS

Company mission

To make the drug discovery and development process faster, less expensive, and with a higher probability of success.

Role

Who you are

  • Valo is seeking an experienced Director of Data Engineering to lead our efforts for our data engineering platform
  • 10+ years of experience in software / data engineering and leadership
  • 2+ years of management experience managing cross-functional projects
  • Experience in creating an effective and inclusive team culture
  • Experience building data science platforms: data and feature engineering pipelines, model life-cycle support, data governance
  • 3+ yrs experience in a professional role gathering requirements and understanding customers/data users goals, including demonstrated experience scoping projects, determining timelines and milestones, delivering end-to-end projects
  • Demonstrated ability to effectively communicate with and influence business and technical teams
  • Experience with data science and workflow orchestration platforms such as Domino, Kubeflow, Prefect, Ray, Spark, and implementing CI/CD practices
  • Experience with cloud data storage and management solutions, such as Snowflake, Redshift, or BigQuery
  • B.S. or M.S. in Computer Science or a similar technical field, or equivalent experience

Desirable

  • A background in drug development or another healthcare or biotechnology field

What the job involves

  • You will manage and grow a team of data engineers to maintain and extend our data platform, providing critical support to multi-functional teams across Valo. Your work will support both our external partnership and internal drug programs
  • In addition, you will be working closely with our Machine Learning, Data Science, Medicinal Chemistry, and Translational Biology teams to accelerate the process of discovering new drug candidates
  • Manage, mentor, and grow a team of 2-4 data engineers located both in our Boston offices and remotely
  • As a key leader in our organization, drive the evolution of Valo’s data platform, ensuring it is robust, scalable and meets the high-performance demands of our data scientists, all while upholding data governance standards
  • Drive cross-functional collaboration across our data science, machine learning, lab informatics, translational biology and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission
  • Foster processes and technology to boost operational scalability, enabling our teams to rapidly expand capacity without expanding headcount
  • Simplify how data scientists access, transform, and use their data by promoting consistent data usage patterns, including version management, shared ontologies & data dictionaries
  • Simplify how data engineers build, maintain, and extend their data pipelines, advising colleagues on data transformations and database design, and providing critical feedback and encouraging best practices within the data engineering team

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Insights

-23% employee growth in 12 months

Company

Company benefits

  • Medical, Dental, and Vision Insurance
  • Flexible Time-off
  • 401K
  • Corporate Engagement Opportunities with Local Non-Profit Organizations
  • Commuter Reimbursement
  • Fitness Reimbursement
  • Pet Insurance

Funding (last 2 of 7 rounds)

Nov 2021

$1m

LATE VC

Jul 2021

$33.5m

LATE VC

Total funding: $487.5m

Our take

Drug development is a critical component of health care. Reducing costs, improving discovery processes, and accelerating drug development are all critical to success in the drug pipeline. Using human-centric data and ML-anchored computation, Valo Health’s integrated drug development platform, known as Opal, improves outcomes in drug development, by leveraging advanced data analysis.

Drug development entails a variety of steps including molecule discovery, clinical development, and target discovery. With the vast amount of data that is generated, a system like Opal incentivizes investment in outcomes that are more likely to correspond with effective treatments. This reduces the number and expense of clinical trials needed to demonstrate drug effectiveness.

There are a variety of competitors in the data-driven drug discovery field, including insitro, Atomwise, and Exscietia, but this vast market should still offer enough space for Valo Health to grow. In 2021, the company experienced a set-back in the surprise calling off of a merger that would have seen it go public, but despite this has continued to operate well and advance towards its goal of transforming the drug development process.

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Freddie

Company Specialist at Welcome to the Jungle