Post-Doctoral Research Fellow

Job ID
28447
Type
Regular Full-Time
Location
US-WA-Seattle
Category
Biostatistics, Bioinformatics and Computational Biology

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. These values are grounded in and expressed through the principles of diversity, equity and inclusion. 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. Fred Hutch is in pursuit of becoming an anti-racist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, anti-racism and inclusion.

 

We are hiring a Post-Doctoral Research Fellow to provide collaborative and innovative analytic support in the Huang Group at Fred Hutch. The Huang Group’s research is focused on design and analysis of vaccine/monoclonal antibody clinical trials, immunological biomarker studies related to the prevention of infectious diseases, and pharmacokinetics modeling of monoclonal antibodies and their interactions.

 

The applicant should have previous training and research experience in longitudinal data or kinetics modeling of biological processes, preferably using one or more pharmacokinetic modeling software applications. The applicant needs to have relevant educational background and knowledge to assume an effective, collaborative role within an interdisciplinary team in biostatistics, mathematics, immunology, virology, and infectious diseases. Good written and oral communication and organizational skills are essential.

 

Dr. Yunda Huang's faculty profile: https://www.fredhutch.org/en/faculty-lab-directory/huang-yunda.html

Responsibilities

  • Develop novel multi-compartmental pharmacokinetics modeling approaches and optimal sampling designs of pharmacokinetics studies.
  • Conduct data analyses and simulation studies utilizing modern statistical and machine learning algorithms, predictive models, and classification methods to advance infectious disease research.
  • Participate in the framing and design of pharmacokinetic and statistical analysis plans.
  • Disseminate research output in peer-reviewed scientific journals and conferences.

Qualifications

MINIMUM QUALIFICATIONS:

  • PhD degree in Pharmaceutical sciences, Statistics, Biostatistics, Bioinformatics, Mathematics, Computer Science or related field.
  • Experience with analysis of longitudinal data sets.
  • Highest scientific rigor and integrity.
  • Strong oral and written communication and critical thinking skills.
  • Ability to work independently and within multidisciplinary teams.
  • Demonstrated ability to work successfully as part of a diverse team with a commitment to equity and inclusion.

PREFERRED QUALIFICATIONS:

  • Proficiency in R or Python.
  • Experience with survival data analysis.
  • Knowledge of a variety of data formats and markup languages (e.g. RMarkdown).
  • Experience with modeling software packages, such as Monolix, Phoenix Modeling & Simulation, NONMEM, SAAM II, SimCyp, GastroPlus MATLAB, and R
  • Experience with visualization software: Shiny, Javascript, D3.
  • Experience with code version control (Git, Github) and containers (Docker). 

A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and antiracism in your career or that will be made through your work at Fred Hutch is requested of all finalists.


The annual base salary range for this position is from $67,728 to $150,000 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).

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 Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed