Pr Eng Platform Eng

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

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High-Dimensional Biology Data Flow Orchestration Engineer R&D Therapeutics Discovery

At Johnson & Johnson we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented treated and cured where treatments are smarter and less invasive and solutions are personal. Through our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity. Learn more at .

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.

Learn more at are searching for thebest talent for High-Dimensional Data Flow Orchestration Engineer R&D Therapeutics Discovery in Spring House PA or Beerse Belgium.

The High-Dimensional Biology Data Flow Orchestration Engineer acts as the keystone of data flow automation projects for high-dimensional biology teams including among others Transcriptomics Proteomics and High-Content Imaging. The candidate will ensure that scientific data is automatically transferred processed and analyzed with minimal user intervention. This role requires strong expert-level capabilities in data flow automation solution implementation to deliver efficient scalable and compliant data flow automation solutions across modality agnostic Therapeutics Discovery.

What Youll Do:

• 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.

What Were Looking For:

• 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 domainspecific pipelines (bioinformatics genomics imaging) or production ML platforms (model registries feature stores).

Core Expertise

• Architecture & Design: Design scalable resilient data flow architectures; create reusable pipeline templates and IaC modules (Terraform).

• Systems & Integration: 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).

• Leadership & Delivery: Lead cross-functional matrix teams set roadmaps manage vendors and drive complex projects from concept to production.

• Communication: Translate technical trade-offs into business impact; produce clear documentation and onboarding guides.

Preferred Qualifications

• Industry exposure: Experience in pharmaceutical research biotech or medical device environments.

• Data governance: Strong understanding of data integrity lineage security frameworks and scalable data architectures.

• Data Reliability & Observability: Implement automated data quality checks lineage tracking and schema evolution. Strong background in monitoring metrics and capacity planning.

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