Director, Omics

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Job Description:

We are seeking a strategic handson leader to direct an NGS-Omics laboratory spanning wetlab assay development/operations and drylab computational/bioinformatics. The Director will own endtoend capability across genomics transcriptomics (bulk & singlecell) and multiomics integration delivering robust scalable high dimensional biology to enable and accelerate target discovery understanding mode of action assessing off target effects and enabling translational decisionmaking.

The successful candidate will possess a deep understanding of omics technologies biology and strong computational biology skills with a focus on the analysis and interpretation of genomics data. Knowledge of genetics and pathway biology is essential to address the needs and scientific questions posed by collaborating teams and to assist in interpreting experimental findings. This role will support global teams across various therapeutic areas and modalities.

Key Responsibilities:

Strategy & Portfolio Leadership

• Build and evolve a Genomics strategy that directly supports drug discovery across all phases including pathway mapping MoA elucidation resistance mechanisms and phenotypic screening

• Establish assaytoinsight pipelines from sample intake to analytics/interpretation and knowledge capture (FAIR data)

• Identify and implement emerging platforms to continuously drive innovation and process improvements

Wet Lab Leadership (Assay Development & Operations)

• Lead development optimization and industrialization of discovery-focused assays:

  • WGS/WES

  • Bulk RNAseq

  • Singlecell RNAseq

  • Long-read sequencing

• Implement automation robotics LIMS integration and QC frameworks to ensure reproducibility and throughput

• Maintain stringent quality systems appropriate for discovery science

Dry Lab (Bioinformatics Data Engineering & Analytics)

• 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 enabling Multiomics data integration

• Established track record in using computational biology to address complex biology questions is required

• Proficiency in programming languages such as R or Python is required

• Develop and maintain validated pipelines for alignment quantification variant calling fusion detection isoform/splicing methylation chromatin accessibility peak calling and singlecell & spatial analytics (batch correction integration deconvolution trajectory cellcell interaction).

• Implement data governance & security (FAIR metadata standards like MIxS MINSEQE; PII/PHI controls; rolebased access; audit trails).

• Partner within Multiomics Discovery and across R&D Data Sciences to deliver biological interpretation (pathway/network enrichment GRNs causal inference ML models signatures patient stratification)

• Deliver reusable data products and dashboards; ensure results are reproducible and versioned

People Leadership & Culture

• Lead a multidisciplinary team (molecular biologists lab managers automation engineers bioinformaticians data engineers statisticians)

• Foster a culture of safety quality scientific excellence and delivery

• Mentor talent develop career paths and promote inclusive collaboration across sites and time zones

Stakeholder Management & Impact

• Translate business questions into fitforpurpose study designs and analytical plans; communicate tradeoffs risks and timelines

• Partner with Therapeutic Areas to drive go/nogo decisions and critical path aligned mechanistic insight

• Publish/coach publications present at governance and represent the platform with external partners and consortia

• Strong communication and presentation skills are required

Budget Compliance & Risk

• Own budgeting capacity planning utilization and costpersample optimization

• Manage vendor/consumables contracts service agreements and supply chain continuity.

• Ensure biosafety EHS data privacy (HIPAA where applicable) IP stewardship and security best practice

Qualifications:

Experience:

• PhD in Biology Biotechnology Immunology or a related field with a focus on computational biology supported by relevant publications

• 10 years expertise in drug discovery is required

Technical Skills:

• Deep expertise in assay design/optimization

• Bioinformatics proficiency (R/Python) workflow managers (Nextflow/Snakemake) alignment/variant callers (BWA STAR GATK DRAGEN) singlecell tools (Seurat Scanpy) spatial pipelines and QC frameworks (FastQC MultiQC)

• Strong expertise in transcriptomics data analysis (data processing differential gene expression pathway analysis) and data visualization tools and methodologies.

• Knowledge of machine learning algorithms statistical modeling and unsupervised analysis techniques

• Experience with multiomics data integration

• Familiarity with large language models and generative methods

• Experience working within Amazon Web Services (AWS) is a plus

• Experience with Systems: LIMS/ELN containerization (Docker/Singularity) Git cloud/HPC

• Data standards: FAIR metadata schemas GA4GH & AnVILlike patterns privacy/security controls

Non-Technical Skills

• Strategic thinking science to impact orientation crisp communication to technical and executive audiences

• Proven ability to prioritize negotiate trade offs and deliver at portfolio scale

• Strong written and verbal communication skills; ability to translate and convey complex information and concepts to scientists from diverse backgrounds

• Independent self-motivated and possess an innovative mindset

• Strong interpersonal skills with the ability to work productively in a dynamic environment

• Excellent planning prioritization problem-solving and organizational skills.

• Strong team orientation highly collaborative and results-driven

• Vendor/CRO management; change leadership in fast moving environments

Key Responsibilities

• Lead discovery omics projects in collaboration with functional and therapeutic area partners across multiple therapeutic modalities.

• Develop and implement (multi-)omics data analysis plans to support target identification and validation lead optimization and liability assessments.

• Collaborate with wet lab and computational teams to define the required analysis plan to achieve project goals.

• Drive internal and external innovation projects

Required Skills:

Preferred Skills: