Research Technician I
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 Talbot lab, within the Basic Science Division at Fred Hutch, is recruiting a highly motivated Research Tech I position to work on bioinformatic analysis (dry lab) of genomics and multiparametric data. The Talbot lab studies the gut-brain axis and how gut neurons sense diet and microbes, regulating immunity, metabolism, and nutrition. This is an excellent opportunity for a candidate with a background in biology and experience in computer science or statistics who is enthusiastic about learning how to apply sophisticated algorithms to analyze genomics and multiparametric datasets.
The research tech will work under the direct supervision of Dr. Talbot and in collaboration with Computational Biology groups at Fred Hutch, which have extensive experience in data analysis and modeling of single-cell genomics and metabolomics. If the candidate is interested, there is a possibility for the candidate to be selected for the Fred Hutch Postbaccalaureate Program.
More information: https://www.jhimmylab.org/
Responsibilities
- Learn, implement, apply, and evaluate tools to process, integrate, batch-correct, and visualize genomics datasets (single-cell RNAseq, RNA-seq, ATAC-seq), metabolomics datasets, multiparametric flow cytometry data, and imaging analysis.
- Interpret the data and explain the results in research discussions with experimental collaborators.
Qualifications
Minimum Qualifications:
- BA/BS in a scientific field required. Must have scientific knowledge in the area of study and basic laboratory skills.
- Independent research experience in addition to school lab experience is usually necessary (but not required).
Preferred Qualifications:
- BA/BS in Biology, Computational Science, BioEngineering (or related areas), with coursework or relevant experience in bioinformatics and statistics.
- Proficiency in modern programming languages (such as Python, or R).
- Experience using source code management (e.g. Git, GitHub).
- Experience working with high throughput sequencing data (data (e.g. RNAseq or scRNAseq).
- Ability to learn new tools and content quickly and independently (although training will be given by our current analysis).
- Knowledge of high-performance computing environments.
The hourly pay range for this position is from $22.21 to $31.61 and pay offered will be based on experience and qualifications.
This position may be eligible for relocation assistance.