Data Scientist II
Data Scientist II
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Job Description
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 Institutedesignated cancer center in Washington.
With a track record of global leadership in bone marrow transplantation HIV/AIDS prevention immunotherapy and COVID19 vaccines Fred Hutch has earned a reputation as one of the worlds 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 worlds 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 Chief Data Officer of the Fred Hutchinson Cancer Center Jeff Leek established the Fred Hutch Data Science Lab (DaSL) which aims to develop and support the overall data strategy for the organization. The mission of the DaSL to ensure an effective data ecosystem at Fred Hutch by developing a modern well documented well implemented overall data strategy. This should serve the needs and capabilities of those leveraging data at Fred Hutch regardless of where they live from the clinic to the research groups. We believe focusing on people is critical in building a strong dynamic community united around using data to improve human health and cancer care. To do this we aim to build a diverse hybrid team that is inclusive open collaborative and supportive both within our team and with our collaborators (find more about our values and culture. We are strong advocates for open science and reproducible research thus develop our work in the open as much as possible. We rely heavily on written communication and continuous collaboration in order to support our hybrid team as well as make our work as accessible as scalably and sustainably as possible by Fred Hutch staff.
The Data Scientist II will support the research informatics ecosystem of Fred Hutch by developing and maintaining computational tools and resources to better facilitate and advance bioinformatic research across the Fred Hutch community. This position will participate in multiple translational research collaborations involving a range of genomic imaging and other laboratorygenerated data types. Contribute bioinformatics and technical expertise through sustainable coding/data management practices to provide achievable and reproducible analyses and galvanize best practices throughout Fred Hutch.
Responsibilities
- Work with collaborators and their staff to create automated processing filtering and organization of genomic data sets and assist in managing this to support reporting processes.
- Develop and document reproducible approaches to data curation bioinformatic processing quality assessment and communication of results to collaborators.
- Create and share reproducible bioinformatic analysis pipelines for use by the translational research community via GitHub and OCDOsupported programs.
- Process large sequencing datasets derived from highthroughput shortread sequencing including exome sequencing targeted DNA sequencing panels bulk RNA sequencing single cell RNA sequencing 10x Genomics) and emerging single cell analysis approaches using curated bioinformatics workflows.
- Create and maintain useful portals and interactive data visualizations for viewing bioinformatic data.
- Provide figures and written sections to document methods and results for manuscripts presentations technical documentation and grant applications.
Qualifications
MINIMUM QUALIFICATIONS:
- BA. B.S. in computational biology biostatistics computer science data science biophysics bioinformatics or a related field.
- Minimum 5 years of experience in data science bioinformatics or related disciplines.
- Graduate degrees can apply towards this minimum (M.A./M.S. 2 years PhD 4 years)
PREFERRED QUALIFICATIONS:
- Graduate degree in computational biology biostatistics computer science data science biophysics bioinformatics or a related field.
- Experience with data governance processes for working with regulated data.
- Direct experience with bestpractice germline & somatic variant calling from exome capture data analysis of bulk RNAseq data with multiple contrasts and analysis of multimodal singlecell profiling data.
- Proficiency in Python and/or R programming with knowledge of the appropriate tools and libraries for working with biological data.
- Wellversed in the standard library of opensource bioinformatics tools (e.g. GATK samtools bwa etc).
- Familiarity with scientific workflow languages (Nextflow WDL etc. and highperformance computing/cloudbased computing resources (e.g. Slurm AWS).
- Familiarity with the use of version control software (Git) and opensource programming norms (e.g. version control unit testing continuous integration) in a collaborative setting.
- Exposure to the creation use and maintenance of Docker containers.
- Excellent written and verbal communication skills.
The annual base salary range for this position is from $102419 to $161866 and pay offered will be based on experience and qualifications.
This position may be eligible for a signon bonus.
This position may be eligible for relocation assistance.
Additional Information
Employment Type
Full-Time
