University of Washington - Medical Lake, WA

posted 4 months ago

Full-time - Entry Level
Medical Lake, WA
Educational Services

About the position

We are seeking a passionate scientist with a background in "omics" data analysis to join our team at Washington University School of Medicine. This position is part of a collaboration between the laboratories of Dr. Mayssa Mokalled and Dr. Aaron Johnson. The successful candidate will utilize innovative bioinformatics, machine learning, and statistical approaches to support NIH-funded research projects focused on the mechanisms regulating spinal cord repair and muscle regeneration. The project encompasses conducting analyses on next-generation sequencing data, as well as single-cell genomics, single-cell transcriptome data, and spatial transcriptomics. Highly motivated individuals will have the opportunity for advancement within this dynamic research environment. The Mokalled and Johnson labs are committed to mentoring and nurturing a creative, thoughtful, and collaborative lab culture. Located in the Department of Developmental Biology at Washington University School of Medicine in St. Louis, these laboratories are part of an internationally recognized research institution consistently ranked among the top five medical schools in the country. The extreme collegiality of Washington University, combined with the large Regenerative Medicine Community and extensive infrastructural and core facility support, creates a vibrant research environment in many areas of regenerative biology. This is an especially exciting time to join the Mokalled and Johnson labs, as they are expanding into fully funded and new research directions at the cutting edge of spinal cord and muscle regeneration. This position also offers opportunities for publications and conference presentations, enhancing the professional development of the appointee.

Responsibilities

  • Implements algorithms and computer software for analyzing omics-based data sets, including high-throughput, massively parallel genomic/proteomic/clinical data.
  • Develops data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
  • Coordinates research projects with other investigators and institutions.
  • Participates in developing hypotheses and experimental design.
  • Assists with reporting of methods, data, and results.

Requirements

  • Bachelor's degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR a master's degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years.
  • Good understanding of computational biology.
  • Ability to analyze and interpret large complex data sets, such as genome sequencing, microarray gene expression studies, human genetic studies, and model organism studies.
  • Expertise in standard bioinformatics tools.

Nice-to-haves

  • Analytical, reasoning, and problem-solving skills.
  • Ability to communicate data in a clear, concise manner.

Benefits

  • Up to 22 days of vacation, 10 recognized holidays, and sick time.
  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.
  • Free Metro transit U-Pass for eligible employees.
  • Forgivable home loan of up to $12,500 for closing costs and down payment for homes in eligible neighborhoods.
  • Defined contribution (403(b)) Retirement Savings Plan with university contributions starting at 7%.
  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs, and employee assistance program (EAP).
  • 4 weeks of caregiver leave to bond with a new child.
  • Tuition coverage for employees and their families, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years.
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