Bioinformatics Analyst I

Job ID
28968
Type
Regular Full-Time
Location
US-WA-Seattle
Category
Laboratory Research Sciences

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 Fong lab is seeking a highly qualified and motivated Bioinformatics Analyst I to work in a collaborative environment leading research on the mechanisms of cancer immunotherapy response and resistance. The focus of our lab is to unravel the dynamic interactions governing the generation of anti-tumor immunity and apply this knowledge toward developing novel approaches for the study and treatment of cancer. We are searching for an analyst with an interest in developing pipelines for quality control and end-to-end analysis including data visualization of a variety of datasets.

 

Please include a cover letter with your application detailing your interest in this position.

Responsibilities

The Bioinformatics Analyst I will perform specialized data analysis and build custom data pipelines for quality control and end-to-end analysis of large datasets including:

  • Implement, apply, and evaluate tools to process, integrate, batch-correct and visualize genomics datasets (single-cell RNA-seq, Bulk RNA-seq, CITE-seq), multiparametric flow cytometry datasets, multiplexed cytokine/protein datasets.
  • Interpret the data and explain the results in research discussions with experimental collaborators.
  • Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows.
  • Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects.
  • Provide figures and written sections describing methods and results for manuscripts, presentations, and grant applications.
  • Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines.
  • Ability to learn new tools and content quickly and independently (although training will be given for specific types of analysis performed in the lab).
  • Other duties as assigned.

Qualifications

MINIMUM QUALIFICATIONS:

  • Bachelor's degree in biology, bioinformatics, biotechnology, bioengineering or related fields or equivalent education with 0-2 years of work experience with bioinformatics in the relevant scientific domain.
  • Demonstrated fluency in R and Python 3.
  • Proficiency with Linux/Unix shell scripting (e.g., bash).

PREFERRED QUALIFICATIONS:

  • Familiarity with cloud servers or high-performance computing resources.
  • Experience with bulk and single cell RNA-seq datasets.
  • Ability to generate and customize visualizations.
  • Strong organizational skills, including the ability to manage and prioritize multiple competing tasks.
  • Good communication skills and an interest in learning.
  • Ability to work independently and in a team.
  • Scientific curiosity.

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 $68,161.60 to $102,211.20, and pay offered will be based on experience and qualifications.  

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

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

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