Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. These values are grounded in and expressed through the principles of diversity, equity and inclusion. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

The Bioinformatics Analyst II provides highly specialized consulting and data analysis services to researchers at the Hutch and across the wider FredHutch/UW Cancer Consortium. Serving a large and diverse user base, the Analyst must prioritize communication and timely customer service. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, and research staff on a wide range of topics in computer science, and biology. To provide the most personalized service, the Analyst works closely with the members of the Gujral Lab to ensure that that data quality is high, and the most appropriate analytical methodologies are chosen. Given the large volumes and diverse types of data generated and integrated in these projects, practical applied programming skills are also essential.

This position will be 100% onsite at our Seattle South Lake Union campus. and works with members of the laboratory of Dr. Taran Gujral in the Division of Human Biology. This position provides a rich environment to learn about cell biology and the drug discovery process. Candidates will also have the opportunity to present their research during lab meetings and scientific conferences and to write, submit, and publish scientific papers.

Responsibilities

• Develop and implement machine learning pipelines for analyzing in-house generated drug screening and molecular profiling datasets.
• Identify appropriate computational modeling tools to meet the needs of proposed projects.
• Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the Hutch community.
• Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications.

Qualifications

MINIMUM QUALIFICATIONS:

• Bachelor's degree in computer science, or related field with at least three years' direct experience in computational analysis of large scale data sets.
• Experience in applying machine learning approaches to analyze large scale datasets.
• Effective use of shell scripting and significant fluency in R and Python 3 are essential.
• Facility with commonly used packages, ggplot, tidyverse etc. Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).
• Excellent written and verbal communication skills are absolutely required.

PREFERRED QUALIFICATIONS:

• Master's degree in computer science, computational biology, Systems Biology or related field
• At least two years' direct experience in building computational models and analysis of large data sets.
• Experience in machine learning or artificial intelligence work is essential, with cheminformatics and generative modeling experience a plus.
• Proficiency in programming and scripting languages such as Python, C/C++, and/or R etc.
• Experience in a subset of machine learning and cheminformatics libraries, such as TensorFlow, Kera's, PyTorch, Pandas, Scikit-Learn, or RDKit is preferred.

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.

The annual base salary range for this position is from $76,606 to $114,878, and pay offered will be based on experience and qualifications.

This position may be eligible for relocation assistance.

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, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).

Our Commitment to Diversity