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Post-Doctoral Research Fellow
Job Description
Post-Doctoral Research Fellow
Full Job Description
Overview:
At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.
The Leek group is committed to being a welcoming place to all students, postdocs, faculty and collaborators (see our Code of Conduct). We work together on projects, share credit liberally, encourage and support each other, and try to solve problems that make the world a better place. We have hired economists, computer scientists, geneticists, biologists, social workers, and everything in between. We have hired people with everything from GED level education to postdoctoral level education and all are treated equally as team contributors. We support flexible work arrangements, remote work, and are committed to life-work balance in everything we do. We believe excellence is defined broadly and want to encourage people to build on their personal strengths and learn new things. We have a great track record of helping people achieve their goals in research, careers, and life and would love to work with you!
More information about how we work can be seen in our open-source guides:
- Guide to Career Planning: https://github.com/jtleek/careerplanning
- Guide to Data Sharing: https://github.com/jtleek/datasharing
- Guide to Reading Papers: https://github.com/jtleek/readingpapers
- Guide to First Paper: https://github.com/jtleek/firstpaper
- Guide to Giving Talks: https://github.com/jtleek/talkguide
- Guide to Writing R Packages: https://github.com/jtleek/rpackages
Responsibilities:
Advances in technology have dramatically reduced the cost and difficulty of collecting high-throughput molecular data. Large collections of raw data are increasingly publicly available but are usually incorporated into individual analyses by investigators on an ad-hoc basis. Meanwhile, the other costs of running a designed, hypothesis-driven study have not decreased at the same speed with technological advances. It is still expensive to identify, recruit, collect, and follow up samples even if the high-throughput measurements themselves are cheap.
This position is focused on developing statistical methods, data resources, and software and training that allow researchers to borrow strength empirically from public repositories, large-scale data generation projects, and crowd-sourced data to improve inference in individual, hypothesis driven studies. The postdoc will build on our work in developing statistical data sources, methods, software and training that facilitate and speed the work of our biological and
Specifically, the postdoc will have the following duties:
- Reading relevant literature to understand the current state of the art.
- Developing new statistical models leveraging public and investigator collected high throughput data
- Developing benchmarks and working together with staff to evaluate algorithms on those benchmarks.
- Writing new R packages or Shiny Apps for distribution of statistical methodology.
- Collaborating with computational and biomedical collaborators to evaluate and apply the developed methodologies to improve analyses.
- Contributing to writing papers and software testing.
Qualifications:
- The successful applicant will have (or will be in the process of obtaining) a PhD in biostatistics, statistics, computer science, machine learning, or another statistical or computational discipline
- Creative and thoughtful
- Familiar with R and R packages
- A careful writer and diligent editor
- Excited to contribute to an important goal
- If you are interested in this position, please submit the following materials:
- A CV summarizing your education and work experience so far.
- The names and email addresses of two references.
- Two publications or preprints featuring your work.
- A code sample representing code that you are proud of.
- This doesn’t have to be long or especially fancy, but should be clean and do something non-trivial. Ideally this would be present as a commit to a code repository such as GitHub, but emailed code is fine as well.
Our Commitment to Diversity: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, 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 hrops@fredhutch.org or by calling 206-667-4700.
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