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Training Manager

Training Manager

Job ID 
10907
Type 
Regular Full-Time
Company 
Fred Hutchinson Cancer Research Center
Location 
US-WA-Seattle
Category 
Biostatistics, Bioinformatics and Computational Biology

More information about this job

Overview

 Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first and largest cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here. 

 

An initiative at the Fred Hutch focused on computational education, called fredhutch.io, is looking for a full-time computational instructor who can lead a team of instructors to expand computational ability at Fred Hutch. 

 

The Training Manager will be responsible for determining training needs and designing/conducting advanced training programs for staff at Fred Hutch. There is a significant amount of existing curriculum, including through https://www.datacamp.com/courses, but you have to understand the material well and answer questions that come up as people do the homework. This will get you started, but we certainly want someone who can gauge needs for education and develop courses accordingly.

 

Ideally, this would be a full-time person who could teach beginning bioinformatics and intermediate R, and then develop new courses. However, interested part-time instructors should also get in touch. Classes will be held during the workday. 

 

 

Responsibilities

 

 

  • Conducts a variety of 1-session to 7-session courses using adult learning techniques to facilitate development of skills in a variety of programming languages and related disciplines including (but not limited to):
    • R
    • Python
    • SQL
    • Bioinformatics
    • Machine Learning
  • Researches available training sources for appropriate content and method information
  • Track training effectiveness and problem areas and make training recommendations
  • May negotiate with outside consultant for purchase or development of specialized programs
  • May participate in grant/proposal writing

 

 

Qualifications

Minimum

  • Bachelor’s degree in computationally-focused Biology or biologically-focused Computer Science
  • Minimum of 3-6 years of directly related experience
  • Solid knowledge of a variety of programming languages including R, Python, and SQL.
  • Solid understanding of command-line tools and high-performance computing environments
  • Understanding of the basic data types of computational biology, e.g. RNA-seq read counts

Preferred

  • PhD in computationally-focused Biology or biologically-focused Computer Science
  • Teaching experience highly preferred
  • Experience developing course curriculum
  • Experience in grant/proposal writing

 

Our Commitment to Diversity

We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.