Bioinformatics Analyst I

Bioinformatics Analyst I Job ID 32118 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. 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. The Srivatsan Lab (Basic Sciences Division, Fred Hutch) is a computational biology lab focused on developing computational tools and methods for analysis of high throughput single-cell genomics data. We work in extensive collaborative partnerships with bench scientists to tackle questions related to cellular differentiation, lineage decisions, regulatory mechanisms, somatic variation, and the organization of tissues. We are seeking a Bioinformatics Analyst I to analyze and interpret the large-scale single-cell genomics data and spatial transcriptomics data that is currently being generated from cell lines and patient samples. This is an excellent opportunity for a candidate with background in biology and experience in computer science or statistics, and enthusiastic about learning how to apply sophisticated algorithms to next generation sequencing data. The analyst will work under direct supervision of Dr. Sanjay Srivatsan, who has extensive experience in the single-cell and spatial genomics fields. Further information on the lab’s research projects can be found at: https://www.srivatsan-lab.com The Srivatsan Lab provides a supportive environment that strongly emphasizes individualized mentoring. We will collaborate with you to identify and develop plans to achieve your professional development goals. In addition, Fred Hutch and the Basic Sciences Division offer numerous career development opportunities, benefits, and competitive salaries. Responsibilities Develop software for processing raw sequencing data from new single cell methods. Implement, apply and evaluate tools to process, integrate, batch-correct and visualize single-cell genomics data. Interpret the data and explain the results in research discussions with experimental collaborators. Develop tools and interfaces for visualization and interaction with the data. Develop new methods and tools for single-cell data analysis. Other Expectations Work collaboratively within the Srivatsan Lab and with Hutch and external collaborators. Show respect to all members of the lab and the broader Hutch community. Qualifications MINIMUM QUALIFICATIONS: BS degree in Statistics, Biostatistics, Bioinformatics or equivalent education. 0-2 years of work experience with bioinformatics in the relevant scientific domain. Proficiency in, at least, one modern scripting or programming language (Python, R, etc). PREFERRED QUALIFICATIONS: Master’s degree in Biology, Computational Biology with coursework. Experienced in high throughput sequencing data. Ability to learn new tools and content quickly and independently. Strong communication skills. Experience in analysis of single-cell genomics data. Experience in working in a high-performance computing environment. Experience in using source code management (e.g.: Git, GitHub). Working knowledge of machine learning. The hourly pay range for this position is from $34.26 to $51.38 and pay offered will be based on experience and qualifications. 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, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 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. Options Apply for this job online Apply Share Share this job with a friend Refer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Not ready to apply? Connect with us for general consideration. Application FAQs Software Powered by ICIMS www.icims.com