Bioinformatics Analyst I-II

Bioinformatics Analyst I-II

Expiring soon
Expires in 3 days
  • Seattle, United States
Expires in 3 days
Bioinformatics Analyst I-II
Job description

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 Bioinformatics Analyst I-II will provide data analysis services to researchers in the Dhodapkar  lab, particularly focusing on single cell genomics, integration of  high-dimensional immunologic data and genome sequencing. This position  requires the ability to work independently, manage multiple overlapping  demands, and communicate effectively with faculty, post-doctoral  fellows, and research staff on a wide range of topics in biology,  analytical biochemistry, sound experimental design, and data science.  The Bioinformatics Analyst works closely with Shared Resources cores,  especially Genomics and Hutch Data core, to ensure that data quality is  high and that users have access to advice and continuing dialog as they  review results. Given the large volumes and diverse types of data  generated and integrated in Bioinformatics projects, practical applied  programming skills are also essential.


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.

Responsibilities

  • Analyze  large sequence datasets from diverse workflows including exome capture,  RNA-seq, single cell sequencing, ATAC-seq, and CRISPR screens.
  • Work  with Hutch scientists to refine computational research questions and  develop analytical processes that can be applied to these genomic  datasets.
  • Consult with researchers on sound experimental design.
  • Identify appropriate bioinformatics tools to meet the needs of proposed projects.
  • Partner with researchers who are developing novel assays to design appropriate processing and analysis workflows.
  • Review  current literature to identify and adopt software and methodologies,  making new analysis capabilities available to the team.
  • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications.
  • Collaborate  with colleagues in the Genomics Shared Resource and the Hutch Data Core  to ensure the integrity and consistency of primary data, track  experimental methods and metadata, define standardized analysis  pipelines, and provide support as stakeholders analyze and interpret  results.
  • Train laboratory members and collaborators on analytic workflows.
  • Upload and maintain datasets, workflows, and code (for example GEO, Github).
  • Other duties as assigned.


Qualifications

MINIMUM QUALIFICATIONS:

Bioinformatics Analyst I:

  • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field.
  • Some experience in computational analysis of large, complex sequence-based molecular data sets.
  • Demonstrated proficiency in R and Python 3 are essential.
  • Familiarity with workflow and scheduling software (e.g., Slurm).
  • Excellent written and verbal communication skills.

Bioinformatics Analyst II:

  • Bachelor’s  degree in bioinformatics, computational biology, genetics, or related  field with at least three years’ direct experience in computational  analysis of large sequence-based molecular data sets.
  • Direct  experience must include best-practice germline & somatic variant  calling from exome capture data, analysis of bulk RNA-seq data with  multiple contrasts, analysis of multimodal single-cell profiling data,  epigenetic profiling, gene set enrichment, and integration of data  across multiple modalities (e.g., epigenetic profiling and RNA-seq).
  • Effective use of shell scripting and significant fluency in R and Python 3 are essential.
  • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc.
  • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).
  • Familiarity with workflow and scheduling software (e.g. Slurm).
  • Excellent written and verbal communication skills are absolutely required.

PREFERRED QUALIFICATIONS:

Bioinformatics Analyst I:

  • A year of more of direct experience in computational analysis of large, complex sequence-based molecular data sets.

Bioinformatics Analyst II:

  • Master’s degree in bioinformatics, computational biology, genetics, or related field.
  • Two+  years of experience in software development, data engineering, data  science, or related field with a track record of manipulating,  processing, and extracting value from large datasets.
  • Experience with single cell transcriptomic analyses and associated pipelines. (e.g. Seurat).
  • Direct  experience includes whole exome sequencing, and integration of data  across multiple modalities (e.g., TCR-seq, CITE-seq, ChIP-seq, ATAC-seq,  and CRISPR/Cas9 knockout screens).


Bioinformatics Analyst I: The  annual base salary range for this position is from $68,162 to $102,211,  and pay offered will be based on experience and qualifications.


Bioinformatics Analyst II: The  annual base salary range for this position is from $78,894 to $118,310,  and pay offered will be based on experience and qualifications.

Areas of Research
  • Genomic Bioinformatics
  • Bioinformatic Programming
  • Genetics & Genome Biology