Salary Range: 250000 to 310000 (Currency: USD) (Pay period: per-year-salary)

Deep 6 AI is a fast-growing tech startup headquartered in Los Angeles, California looking for talented, dynamic team members who want to help shape our groundbreaking artificial intelligence platform.

We are transforming and accelerating clinical trials, to help get life-saving treatments to patients faster and accelerate innovation in healthcare. To that end, we build a cutting-edge software suite that connects all clinical research stakeholders, from research teams to treating physicians, patients, and study sponsors on a real-time, real-world data SaaS platform, powered by AI.

At Deep 6 AI, we are on a mission to revolutionize healthcare’s clinical trials process through innovative AI and ML solutions. Our software mines real-time clinical data to precision-match patients to clinical trials utilizing cutting-edge AI and ML techniques.

We are looking for a Head of Data Engineering to spearhead the continued development and application of our data engineering platform. This is both a visionary and hands-on role.

This role presents an opportunity for an exceptional hands-on data engineering leader to build a team of data and platform engineers, while overseeing the use of AI and ML to drive strategic initiatives.

As the Head of Data Engineering, you will work closely with stakeholders to continuously innovate our platform, ensuring that it stays ahead of the curve in supporting the mission of the organization. You will be tasked with scaling the data ingestion and comprehension of one of the largest and densest sets of rich, unstructured clinical data.

What You’ll Do

Lead the continued development and enhancement of our clinical data ingestion and comprehension pipeline.
Drive the utilization of core principles in development, including observability, scalability, and end-to-end control.
Support the utilization of advanced AI/ML research through the exposure of raw, canonicalized, and comprehended data in analytics platforms.
Establish and maintain key performance metrics to track the effectiveness of data engineering initiatives.
Foster collaboration with internal and external stakeholders to gather feedback and drive continuous improvement.
Enhance Deep 6 AI’s reputation as a leader in AI-driven clinical trials acceleration through thought leadership and industry recognition.

About You

Strong player-coach mentality, with an ability to balance the hands-on needs of leading two groups: data platform (data engineering) and search/enrichment (ML engineering).
Proven record of accomplishment, leading successful large-scale clinical data initiatives within a product-focused environment.
Strong background in applied data engineering and data pipelines, with hands-on experience developing and deploying production-ready models.
Understanding of Software Development Life Cycle and data product development
Experience working with healthcare data, especially HL7 and FHIR.
Deep understanding of streaming data ingestion and ETL processes
Conceptual understanding of ML techniques, particularly NLP (e.g., NER, BERT).
Conceptual understanding of AI techniques like large language models (LLMs), self-learning models (SLMs), and other state-of-the-art approaches.
Experience with database technologies, especially Elasticsearch, PostgreSQL, Amazon Aurora, and DynamoDB.
Demonstrated passion for staying up to date with the latest data engineering and pipeline trends, along with a record of accomplishment of driving innovation.

Preferred Qualifications

Cloud Services: Experience with cloud-based data processing and storage services (AWS).
Infrastructure as Code: Proficiency with infrastructure as code tools (CDK).

Technologies We Use: While specific expertise in our tech stack is beneficial, we value adaptability and a willingness to learn. Our current stack includes:

AWS Cloud Services (e.g., EC2, ECS, RDS, Aurora, DynamoDB, Lambda)
Java (Kotlin), Python, TypeScript
Kubernetes, Docker
FHIR Servers (e.g., HAPI, Health Samurai AidBox)
Elasticsearch and Elastic Cloud
CI/CD: GitHub Actions
Monitoring: OpenTelemetry, AWS X-Ray, AWS Cloudwatch, Datadog, Pendo

We are a collaborative and inclusive group of intelligent, curious, and motivated peers who value and respect diverse backgrounds and experiences. We appreciate the value of different perspectives and ideas, and we strive to create an environment where you can do your best work in the environment and location that is best suited for everyone.

Our Culture

We are a very collaborative group that is inclusive, fun, and hard-working. We appreciate the value in diverse backgrounds and experiences so that we can create the best product through different perspectives and ideas. Deep 6 AI welcomes remote work and has fully-remote teams throughout the country; we strive to create an environment where you can do your best work in the environment and location that is best suited for each individual. As a member of our team, you can expect to work with intelligent, curious, and motivated peers who value and respect your perspectives. Deep 6 AI is headquartered in Los Angeles and has employees nationwide.

Benefits

In addition to competitive salary and a unique opportunity to thrive at a growing company, Deep 6 AI offers various formal benefits as well as a generous PTO plan which includes sick and vacation days, and as well as employer-paid medical, dental, vision, life insurance and long-term disability coverage. A 401k plan is available, too.

The above statements describe the general nature and level of work being performed in this job function. They’re not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Deep 6.

At Deep 6, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Deep 6 is an equal opportunity employer.

Head of Data Engineering

Clinical

Deep 6 AI

Compensation Overview

What You’ll Do

About You

Preferred Qualifications

Technologies We Use: While specific expertise in our tech stack is beneficial, we value adaptability and a willingness to learn. Our current stack includes:

6 month growth

1 year growth

2 year growth

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