Director, Omics Enabling Platforms

6084-Janssen Research & Development, LLC Legal Entity

Spring House (PA)

On-site

USD 260,000 - 340,000

Full time

3 days ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

Johnson & Johnson in Spring House, PA seeks a Director of Omics Enabling Platforms to lead an integrated omics engine with automation, robotics, and AI-driven discovery. The role directs transcriptomics, data platforms, and AI-ready biology to accelerate AI-native drug discovery with scalable workflows and high-throughput data generation.

The candidate will drive cross-functional collaboration, oversee lab automation, and shape strategic roadmap across biology, engineering, and AI disciplines.

Qualifications

PhD in cell biology, molecular biology, genomics, or related field with publications.
10+ years in cell biology, omics, and computational biology with leadership experience.
Ability to derive biological insights from large omics datasets and communicate to teams.
Experience leading technical and scientific teams.
Strong expertise in automation, AI-enabled discovery, and data platforms.

Responsibilities

Oversee development and scaling of omics assays with a transcriptomics core.
Lead automation and robotics deployment across sequencing and data acquisition.
Partner to establish an agentic AI strategy for automated design and QC.
Own compute strategy (cloud/HPC), workflow orchestration, and data products.
Mentor talent and foster safety, quality, and rapid learning in the team.

Skills

Transcriptomics & Omics

Biological Insights

Automation & Robotics

Computational Platforms

Digital & Automation Infra

Education

PhD in life sciences

Tools

LIMS/ELN

Nextflow

Snakemake

Cromwell

Cloud/HPC

Job description

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.

Responsibilities

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.
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.
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.
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.
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.

Equal Opportunity Statement

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 https://www.jnj.com/contact-us/careers , 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 parent’s consent for the background check.

Preferred Skills