Pr Eng Platform Eng jobs in United States
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Johnson & Johnson Innovative Medicine · 1 day ago

Pr Eng Platform Eng

positionSpring House, PA
timeFull-time
remoteOnsite
senioritySenior Level
date5+ years exp

Johnson & Johnson is a leader in healthcare innovation, committed to developing treatments and pioneering solutions for complex diseases. The High-Dimensional Biology Data Flow Orchestration Engineer will architect and deploy automated data pipelines, ensuring efficient data flow automation for high-dimensional biology teams in a collaborative environment.

Pharmaceuticals

Responsibilities

Architect and deploy automated data pipelines for scientific workflows
Lead end-to-end projects from concept to production in a global, matrixed environment
Integrate advanced tools and platforms across cloud, on-prem, and container ecosystems
Collaborate with cross-functional teams and mentor/train computational biologists in the use of the infrastructure
Explore emerging technologies in AI/ML and automation to accelerate innovation
Ensure data quality, lineage, security, and compliance at scale

Qualification

Data flow automationCloud ecosystemsWorkflow orchestration toolsData platformsScripting skillsContainer orchestrationData governanceLeadershipCommunicationCritical thinking

Required

Degree in Computer Science, Data Engineering, or related field; advanced degree (MS/PhD) preferred
5+ years building production-grade data platforms and automated workflows
Hands-on experience with workflow languages and orchestration tools (Nextflow, Argo, Airflow) and scalable compute environments (eg Kubernetes)
Strong scripting and programming skills (Python, Bash, SQL), proficiency in cloud ecosystems (eg AWS) and distributed frameworks (Spark, Dask)
Proven leadership in complex, multi-stakeholder projects
Strong analytical mindset, problem-solving agility, and a collaborative leadership style
Experience with domain‑specific pipelines (bioinformatics, genomics, imaging) or production ML platforms (model registries, feature stores)
Design scalable, resilient data flow architectures; create reusable pipeline templates and IaC modules (Terraform)
Skilled in container orchestration (Kubernetes, Docker), CI/CD (GitHub Actions, GitLab CI), and workflow engines (Nextflow, Argo)
Experienced with cloud storage (S3), data warehouses (Snowflake), and integration tools (Kafka, APIs, metadata catalogs)
Lead cross-functional matrix teams, set roadmaps, manage vendors, and drive complex projects from concept to production
Translate technical trade-offs into business impact; produce clear documentation and onboarding guides

Preferred

Experience in pharmaceutical research, biotech, or medical device environments
Strong understanding of data integrity, lineage, security frameworks, and scalable data architectures
Implement automated data quality checks, lineage tracking, and schema evolution. Strong background in monitoring, metrics, and capacity planning

Company

Johnson & Johnson Innovative Medicine

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Johnson and Johnson Innovative Medicine focuses on developing medical solutions for some of the challenging diseases and medical conditions.
location
Raritan, New Jersey, USA
people-size10001+ employees
web-link
https://www.janssen.com/johnson-johnson-innovative-medicine

Funding

Current Stage
Late Stage

Leadership Team

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Molly Perkins
VP, Head of Cell & Genetic Medicines Discovery
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