Hybrid Leader: Tumor Genomics & Perturbation Analytics

Takeda; Cambridge (MA); Hybrid; USD 154,000 - 243,000; Full time

Job summary

Takeda in Cambridge, MA, is hiring Associate Director, Tumor Functional Genomics and Perturbation Analytics to lead delivery of tumor functional-genomics capabilities within Oncology Computational Biology Delivery. You will partner with oncology scientists and AI/ML teams to shape analytical strategies and scalable data products.

The role emphasizes CRISPR screening, single-cell genomics, Perturb-seq, and integration of multi-omics data to drive target identification, biomarker discovery, and

Qualifications

• PhD or equivalent with 7+ years post-degree experience in computational biology/oncology.
• Deep expertise in tumor functional genomics and perturbation biology (CRISPR, Perturb-seq).
• Experience applying computational methods to oncology data and drug discovery.

Responsibilities

• Lead delivery of tumor functional-genomics and perturbation-analytics analyses and reusable data products.
• Provide scientific leadership in tumor biology, functional genomics, perturbation biology, and computational oncology.
• Develop analytical approaches for CRISPR screens and single-cell genomics.
• Integrate diverse omics datasets to support target identification and biomarker discovery.
• Collaborate with biology, translational, AI/ML, and software teams to deliver scalable research capabilities.
• Establish standards for validation, data quality, provenance, and reproducibility.

Skills

Tumor functional genomics

Perturbation biology

CRISPR screens

Single-cell genomics

Perturb-seq

Data integration

AI-enabled workflows

Leadership

Scientific communication

Computational biology

Education

PhD in Computational Biology or related field

Tools

Python

R

SLURM

Job description

Takeda in Cambridge, MA, is hiring Associate Director, Tumor Functional Genomics and Perturbation Analytics to lead delivery of tumor functional-genomics capabilities within Oncology Computational Biology Delivery. You will partner with oncology scientists and AI/ML teams to shape analytical strategies and scalable data products.

The role emphasizes CRISPR screening, single-cell genomics, Perturb-seq, and integration of multi-omics data to drive target identification, biomarker discovery, and