Bioinformatics Analyst I

Fred Hutchinson Cancer Center•Seattle, WA

16h•Hybrid

About The Position

The Bioinformatics Analyst I provide highly specialized consulting and data analysis services to researchers at the Hutch and across the wider Fred Hutch/UW Cancer Consortium. 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 biology, and data science. The Wu lab at the Fred Hutch has an opening for a biostatistician with experience in biostatistics, bioinformatics, and computational biology. This position will work with Dr. Qian (Vicky) Wu in the Clinical Research Division to embark on an exciting journey to tackle some of the most burning issues in immunotherapy and correlative data analysis with lab data, through an approach which combines cutting edge computational methods and clinical trials. At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect. Most Fred Hutch jobs require some on-campus work. However, there may be flexibility for certain positions. Please check with the recruiter if you are an out-of-state applicant interested only in working outside of the Seattle area.

Requirements

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)

Nice To Haves

MS degree in Statistics, Biostatistics, Bioinformatics or equivalent education.
Ability to learn new tools and content quickly and independently.
Effective use of shell scripting and significant fluency in R and Python are essential.
Facility with commonly used Bioconductor packages, ggplot 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.
Good numeracy, literacy, and organizational skills.

Responsibilities

Conduct data analysis on data from clinical trials.
Develop and apply statistics, bioinformatics, machine learning approach on high dimensional biomarker data.
Develop statistical software, such as R Shiny tool.
Weekly meeting with Dr. Wu to communicate the results.
Make sure appropriate coding and methods were used.