Dimensional Biology Data Flow Orchestration Engineer

High-Dimensional Biology Data Flow Orchestration Engineer

Apply now

IT
Business Solutions
Database
Bioinformatics
AI & Machine Learning
Data & Analytics
Enterprise Applications & Systems
IT Compliance & Validation
Software Development & Engineering

Staff
Project Management

We are searching for the best 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 We’re 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 domain‑specific 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 (Git Hub Actions, Git Lab 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.

Preferred

Skills:

Accessible Design, Agility Jumps, Business Alignment, Cloud Computing, Cloud Migrations, Cloud Security, Coaching, Critical Thinking, Human-Computer Interaction (HCI), Hybrid Clouds, Multi Cloud Models, Organizing, Presentation Design, Software Development Life Cycle (SDLC), Software Development Management, Tactical Planning, Technical Credibility, Technical Writing

Hybrid Work

We only accept applicants who are eligible to work in the EU

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 Med Tech, 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