Director, Omics Enabling Platforms

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 jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Biological Research

Job Category:

People Leader

All Job Posting Locations:

Spring House, Pennsylvania, United States of America

Job Description:

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 https://www.jnj.com/innovative-medicine

We are searching for the best talent for Director, Omics Enabling Platforms in Spring House, PA.

Purpose: We are seeking a strategic, hands-on leader to build and direct an Omics Enabling organization that integrates omics with automation, robotics, and agentic AI into a unified engine for AI-Native Drug Discovery. The Director will own end-to-end omics capabilities including transcriptomics (bulk & single-cell) delivered through highly automated, robotics-driven workflows that generate robust, scalable, high-dimensional data at speed.

The successful candidate pairs deep expertise in omics technologies with a strong foundation in molecular and cellular biology, enabling interpretation of complex omics datasets and translation of high-dimensional data into biological insights to enable portfolio program decisions. The role combines support for discovery programs with development of reusable, automated experimentation platforms that accelerate learning cycles and generate AI-ready biological data.

You will be responsible for:

• Own development, optimization, and scaling of discovery-focused assays with a transcriptomics core: bulk RNA-seq, single-cell RNA-seq, WGS/WES and long-read sequencing.

• Ensure all assays are automation-ready, reproducible, and standardized for large-scale, perturbational biology.

• Generate high-quality, high-dimensional datasets suitable for actionable insights, machine learning and foundation model training.

• Drive biological interpretation transforming large-scale data into mechanistic insights, pathway-level understanding, and actionable biological hypotheses.

Automation, Robotics & Autonomous Workflows

• Lead the design, deployment, and industrialization of laboratory automation and robotic systems across sample intake, library prep, sequencing, and omics data acquisition.

• Build closed-loop, autonomous experimentation workflows with robotic orchestration, scheduling, and minimal manual intervention.

• Integrate LIMS/ELN, laboratory execution systems, and QC frameworks to ensure reproducibility, throughput, and traceability.

• Continuously drive improvements in cycle time, cost per sample, and scalability through automation.

Agentic AI & Computational Enablement

• Partner to establish an agentic AI strategy to automate experimental design, protocol generation, data QC, interpretation, and knowledge capture.

• Connect AI agents directly to laboratory execution and robotics platforms to enable active learning cycles.

• Maintain validated computational pipelines for alignment, quantification, differential expression, fusion/isoform/splicing detection, and single-cell & omics analytics (batch correction, integration, deconvolution).

• Champion adoption of large language models, generative, and multimodal AI within discovery workflows.

Data Engineering & Infrastructure

• Own compute strategy (HPC and/or cloud: AWS/GCP/Azure), workflow orchestration (Nextflow/Snakemake/Cromwell), containers, and CI/CD for pipelines.

• Build high-throughput pipelines for data acquisition, analytics, and multiomics integration.

• Implement FAIR data principles, metadata standards, and privacy/security controls to maximize reuse and AI readiness.

• Deliver reusable, versioned data products and dashboards.

People Leadership & Culture

• Lead an Omics Enabling organization through direct and matrixed leadership, integrating capabilities across automation, robotics, omics, data engineering, and AI to accelerate AI-Native Drug Discovery.

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