Post-Doctoral Research Fellow

Fred Hutchinson Cancer Center • Seattle, WA

2d

About The Position

The laboratory of Dr. Nasa Sinnott-Armstrong has a Post-Doctoral Research Fellow position open in the Computational Biology Program of the Public Health Sciences Division. This postdoctoral researcher will focus on microbiology, genetics, environmental epidemiology, and the ethical, legal, and social implications of biomedical research. The position has a competitive salary and great benefits. At the Sinnott-Armstrong Lab, we are interested in common human diseases and patient experience to pursue transformative advancements in healthcare. We are dedicated to understanding the map between genotype, environment, and phenotype at a population level. We aim to use the diagnosis and management of tick-borne disease and metabolic diseases as models to understand the future of public health. We use Genome-Wide Association Studies (GWAS), database analysis of patient records in combination with biochemical and molecular approaches. Our research aims to improve health outcomes and access by prioritizing patient experiences and fostering innovative, inclusive practices. We are committed to advancing healthcare through collaboration, integrity, and a dedication to personal and professional growth. By reimagining conventional scientific practices, we strive to make meaningful impacts on public health and precision medicine. Our core values include a patient-centered approach, collaboration and innovation, personal and professional growth, and a commitment to diversity, equity, and inclusion. In our lab, we believe that research should be both impactful and enjoyable, and we are committed to creating a space where groundbreaking science meets a supportive and dynamic community. Together, we aim to redefine laboratory science and contribute to a more equitable and effective healthcare system. We work in an interdisciplinary team environment with many local and external experts. This project would focus on analyses of host-pathogen interactions and immune response to early Lyme disease infection using our at-home sampling framework for just-in-time collection of biospecimens from Lyme disease and other environmental pathogens.

Requirements

• PhD (or equivalent) in Genetics, Molecular Biology, Infectious Disease, Pathology (or related scientific discipline)
• Strong bioinformatics background
• Grant preparation – experience with writing grant proposals and developing study designs
• Demonstrated publication track record
• Work well in team environments
• Strong communication/organization skills
• Detail-oriented
• Highly motivated individual who thinks independently but also enjoy working in a dynamic, collaborative, multidisciplinary team

Nice To Haves

• Experience with high performance computing environments and cloud computing environments is a plus
• Strong programming experience (R, Python, Matlab, Java, C/C++, Perl or other languages for research)

Responsibilities

• Support developing an automated computational/experimental system to identify gene-environment interactions, new therapeutics for Lyme disease and other infectious diseases, and media optimization parameters.
• Sequencing data generation and analysis in coordination with lab postbaccalaureate scholars.
• Project planning.
• Presentations and publications.
• Broad integration of the work with other ongoing and planned efforts in lab.
• Analysis of ethical and social implications of the work (as desired).

Benefits

• medical/vision
• dental
• flexible spending accounts
• life
• disability
• retirement
• family life support
• employee assistance program
• onsite health clinic
• income-based child care subsidy
• tuition reimbursement
• paid vacation (22 days per year)
• paid sick leave (up to 30 calendar days per occurrence of a qualifying reason)
• paid holidays (13 days per year)
• paid parental leave (up to 4 weeks)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree