Research Data Analyst Assistant

at  Fred Hutchinson Cancer Center

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.
The Etzioni lab at Fred Hutch develops statistical and computational tools to support evidence generation for decision making in cancer prevention, screening, and treatment. We are currently particularly focused on evidence generation around novel diagnostic technologies for cancer screening and treatment targeting. We analyze data from clinical trials, population studies, and observational cohorts to learn about the factors that drive patient outcomes and how to intervene to reduce the burden of cancer in sustainable and equitable ways. We are a team of 6 full-time researchers and have an extensive portfolio of ongoing projects and numerous national and international collaborations.
The Etzioni lab is seeking applications for a Research Data Analyst Assistant for the group. The position requires a highly motivated individual with a goal-oriented and self-motivated work attitude. The position will be responsible for providing basic bioinformatics/statistical support by using defined methods to analyze, maintain and report scientific data and will work under close supervision of the Principal Investigator or lead analyst.

Responsibilities:

• Utilizes defined methods to analyze data to support the aims of the NIH grants, publication of results and development of new hypotheses.
• Use R or similar programming tools to perform proper QC, normalization and transformation of data and perform basic and guided statistical analyses.
• Document algorithm/software version and threshold/settings annotation and tracking.
• Extract data from appropriate sources/resources.
• Maintain and organize array data repository in the lab.
• Generate reports and support preparations of manuscripts based on data analyses.
• Perform preliminary data clean-up and check for duplicates.

Qualifications:

MINIMUM QUALIFICATIONS:

• A high school degree is required and at least two years of college coursework in the biological sciences and/or computer science/programming.
• Strong oral and written communication and critical thinking skills are required.
• Must be flexible and able to work well in a team environment.
• Must be detail-oriented with excellent organizational skills.

PREFERRED QUALIFICATIONS:

• BA/BS in a related field
  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 hourly pay range for this position is from $22.21 to $31.61 and pay offered will be based on experience and qualifications.
  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, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).
  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

• Utilizes defined methods to analyze data to support the aims of the NIH grants, publication of results and development of new hypotheses.
• Use R or similar programming tools to perform proper QC, normalization and transformation of data and perform basic and guided statistical analyses.
• Document algorithm/software version and threshold/settings annotation and tracking.
• Extract data from appropriate sources/resources.
• Maintain and organize array data repository in the lab.
• Generate reports and support preparations of manuscripts based on data analyses.
• Perform preliminary data clean-up and check for duplicates