Job Description

Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The Ma Lab in the Division of Public Health Sciences at Fred Hutch is seeking a highly motivated Post-Doctoral Research Fellow to develop novel statistical/computational methods for problems in microbiome research. Specific topics include, but are not limited to, high-dimensional data analysis, graphical models and network analysis, etc. This is a unique opportunity for someone who is interested in a collaborative environment and interacting with investigators with diverse experiences. The position is available NOW for two years.

Responsibilities

The successful candidate will work with Dr. Jing Ma in developing novel statistical/computational methods in genomics. They will have opportunities to join collaborative research projects within Fred Hutch and University of Washington as well as external collaborations.

Qualifications

MINIMUM QUALIFICATIONS:

• Completed (or nearly completed) a PhD in Statistics, Biostatistics, or a closely related area prior to their appointment.
• Demonstrated a capacity to produce high quality research.
• Strong programming skills in a statistical language (e.g. R, Python).

PREFERRED QUALIFICATIONS:

• Experience in high-dimensional data analysis.

The annual base salary range for this position is from $77,976 to $95,014 and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.

Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include 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), and paid parental leave (up to 4 weeks).

Additional Information

We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. 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 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 Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

Job Tags

Holiday work, Relocation package, Flexible hours,

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