Director, Omics Enabling Platforms

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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 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.

• Foster a culture of safety quality scientific excellence innovation and rapid learning.

• Mentor talent and develop career paths across biology engineering and AI disciplines.

Qualifications/Requirements:

Education: Minimum of a PhD in Cell Biology Molecular Biology Genomics or a related field supported by relevant publications is required.

Experience:

• 10 years of experience in cell biology omics platforms and computational biology.

• Demonstrated ability to derive biological insights from large-scale omics datasets and communicate findings effectively to multidisciplinary scientific teams

• Demonstrated experience leading technical and scientific teams

Technical Skills

Transcriptomics & Omics: Deep expertise in designing scaling and industrializing bulk single-cell and spatial transcriptomics capabilities. Proven experience building robust high-throughput data generation platforms that deliver reproducible high-dimensional biological data for discovery translational science and AI-enabled research

Biological Insight Generation: Strong foundation in molecular and cellular biology with demonstrated ability to translate complex transcriptomic data into mechanistic understanding disease-relevant hypotheses biomarker strategies and actionable portfolio decisions. Expertise distinguishing biological signal from technical variation and integrating data across experimental systems and disease contexts.

Automation & robotics: Proven track record building and scaling automated laboratory platforms that integrate robotics digital orchestration and closed-loop experimentation to increase throughput reproducibility and learning velocity across discovery workflows

Computational & Data Platforms: Deep understanding of modern transcriptomics analytics reproducible workflow architectures cloud/HPC computing and scalable data engineering. Experience defining computational strategies that transform high-dimensional biological data into reusable analysis-ready and AI-ready data products.

Digital & Automation Infrastructure: Experience integrating laboratory automation LIMS/ELN workflow orchestration cloud/HPC platforms and data governance frameworks to enable scalable reproducible and AI-ready omics operations. Expertise in FAIR data principles metadata strategy platform lifecycle management and delivery of governed reusable data assets.

Non-Technical Skills

• Strategic thinking with a science-to-impact orientation and crisp communication to technical and executive audiences.

• Independent self-motivated innovative mindset.

• Strong collaboration planning prioritization and problem-solving skills.

• Vendor/CRO management and change leadership in fast-moving environments.

We offer a stimulating collaborative research environment and the opportunity to help shape the technology backbone of AI-Native Drug Discovery.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

If you are under 18 years of age you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment as well as get a parents consent for the background check.

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