Overview

The Gujral Lab (https://research.fredhutch.org/gujral/en.html) works at the intersection of systems biology, functional genomics, and precision oncology. The lab focuses on understanding how complex signaling networks and cellular states drive cancer progression and therapeutic response (Nat Biotech, 2026), with a particular emphasis on rare and refractory cancers. By integrating high-throughput drug screening (Cell Rep Medicine, 2025, Gut, 2025), machine learning (PNAS, 2021, MSB, 2021), and multiomic data (PNAS, 2025), the Gujral Lab aims to uncover actionable vulnerabilities and develop more effective, personalized treatment strategies. The overarching goal is to translate systems-level insights into clinically relevant advances in cancer care. The research environment is multidisciplinary, spanning clinical, translational, and basic science. The lab leverages resources from the TRACER program, including access to patient-derived models, fresh tumor specimens through clinical collaborations, and engineered murine models. Together, these resources enable innovative, data-driven approaches to studying and treating rare cancers.

The Gujral Lab is seeking a highly motivated and innovative Post-Doctoral Research Fellow to advance precision oncology through systems biology approaches that integrate functional screening, genomics, and computational modeling.

Responsibilities

The successful candidate will study the molecular and systems-level mechanisms driving cancer progression and therapeutic response, with an emphasis on identifying actionable vulnerabilities through data-driven approaches. This role sits at the interface of experimental and computational biology, leveraging technologies such as high-throughput drug screening, functional genomics, and multi-omic data integration.

This position offers a highly collaborative environment, with opportunities to work alongside multidisciplinary teams in functional genomics, cancer biology, and in vivo modeling. The fellow will contribute to translating complex biological data into clinically meaningful insights.

Qualifications

MINIMUM QUALIFICATIONS:

• Recent or soon to be PhD, MD, or MD/PhD (or equivalent) in systems biology, computational biology, cancer biology, bioinformatics, or a related field
• Strong foundation in cell and molecular biology, with interest in systems-level analysis
• Demonstrated ability to analyze complex datasets and integrate multi-modal data
• Excellent written and oral communication skills
• Track record of rigorous and productive research, including at least one first-author publication in a peer-reviewed journal
• Ability to independently design, execute, and interpret research studies

PREFERRED QUALIFICATIONS:

• Experience with functional genomics and/or high-throughput drug screening
• Background in computational biology, bioinformatics, or machine learning
• Experience working with in vivo models or patient-derived systems

The annual base salary range for this position is from $80,172 to $91,304, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.

Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

Additional Information