Bioinformatics Research Associate II

Job ID 2022-42736
Area of Interest
Research & Development
Location Name
307 Westlake
FTE/Hours per pay period
1.0 FTE (80 hours per bi-weekly pay periods)
Work Status
Global Infectious Disease
Day Shift
Primary Location : City
Primary Location : State/Province
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About Us

Hope. Care. Cure. These three simple words capture what we do at Seattle Children’s – to help every child live the healthiest and most fulfilling life possible.  Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE


As one of the nation's top five pediatric research centers, Seattle Children's Research Institute is dedicated to providing hope, care, and cures to help every child live the healthiest and most fulfilling life possible.


Our investigators are involved in hundreds of projects that cover every phase of research, from studying how diseases work to improving investigational therapies. They have pioneered groundbreaking cystic fibrosis treatments and cutting-edge cancer therapies that help a child's immune system defeat cancer, and made other major contributions to pediatric medicine. 


Researchers work in close collaboration with one another, their colleagues at partner institutions including the University of Washington and Fred Hutch and our healthcare providers at Seattle Children's Hospital, one of U.S. News & World Report’s top children's hospitals. This collaboration is one of our key strengths, allowing our faculty to draw on a variety of disciplines and techniques as they pursue solutions to some of medicine's most complex problems.


We are committed to not only treating disease but to eliminating it. Help us achieve our vision of being a worldwide leader in pediatric research aimed to improve the health and well-being of children. If you are interested in a challenging career aimed at groundbreaking research, Seattle Children's Research Institute is the place for you.


The Kappe-Vaughan laboratory is focusing on new and cutting-edge big data approaches to elucidate the biology of the Plasmodium parasite that causes malaria. Last year there were over 600,000 thousand deaths from malaria, mostly children in sub-Saharan Africa. Our group aims to identify novel interventions that eliminate malaria disease and transmission. We are particularly interested in how the parasite subverts its two hosts – mosquito and man. We are thus looking for a highly motivated and creative individual who enjoys working in a multidisciplinary team-oriented environment to use systems biology approaches to discover new mechanisms, phenomena and therapies that contribute to the shared goal of malaria elimination.


You will add cutting edge bioinformatic approaches (e.g., machine learning, variation graphs) and statistical rigor to all the phases of our experimental process, supporting our ability to draw significant biological interpretations from our study of the malaria parasite. You will work in a fast-paced team collaboratively to solve basic questions surrounding parasite-host interactions to support new candidates for vaccine development.



  • Develop, implement and collaborate on bioinformatics and statistical analyses to elucidate biological meaning from NGS approaches.
  • Perform bioinformatics-based analysis, generate quality control and reliable data output reports, visualizations, and publication-quality graphics.
  • Develop, implement and collaborate on experimental designs including necessary power analyses.
  • Work independently and collaboratively in a dynamic research environment to design, develop and implement new methods for the analyses.
  • Attend and present data at scientific meetings and conferences.
  • Participate in writing journal articles, proposals, and other reports.
  • Remain up-to-date on biostatistical analysis tools and protocols and apply them as appropriate.

When applying for this position, please provide a CV and a letter of interest that speaks to your desire to work in the arena of global infectious disease research


Required Education/Experience:


Masters with three or more years of experience in a related field or PhD in bioinformatics, biostatistics, population genetics or other relevant area of quantitative analysis


Preferred Skills:

  • A strong interest in infectious disease research
  • Experience with statistical tools (R, SAS, Matlab) and/or scripting of higher-level programming languages (Python, Perl, Java)
  • Experience of processing large datasets on parallel computing clusters
  • Knowledge of bioinformatic methods for processing next-generation sequencing data or similar
  • Demonstration of technical proficiency, scientific creativity and knowledge, collaboration with others, as well as independent thought
  • Excellent communication and time management skills

Covid-19 Vaccination

In accordance with Washington state law, Seattle Children’s requires that all employees be fully vaccinated against COVID-19. All offers are contingent and your vaccine status will be verified at onboarding.

Our Commitment to Diversity

Our community welcomes diverse experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our increasingly diverse patients and families. Our organization recruits, employs, trains, compensates, and promotes without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.


The people who work at Seattle Children’s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves within this community, which cultivates and promotes equity, diversity, and inclusion at all levels.


Seattle Children’s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.


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