Statistical Research Associate III/IV

UNAVAILABLE

Job location

Seattle, WA

Job details

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 Biostatistics Program within the Fred Hutchinson Cancer Center’s Division of Public Health Sciences is recruiting a Statistical Research Associate (SRA) III/IV. The SRA will engage in collaborative research with areas focused on disease risk prediction and novel biomarker (e.g., genetic variants and proteomics) evaluations. The SRA will have opportunities in participating large collaborative projects such as Early Detection Research Network.

The SRA will work independently and will spend the majority of their work time designing, developing, coordinating, and performing statistical aspects of study design, implementation, and statistical analyses. This position may coordinate and direct data-oriented projects and supervise or direct other SRAs and data management staff. Depending on experience, the SRA may perform highly complex and technical statistical analyses and design and provide statistical leadership to major scientific projects.

Responsibilities
• Provide statistical support to research studies in a variety of contexts
• Work with and under the direction of lead statisticians and other scientists (including clinicians and basic scientists) on the analysis, interpretation, and reporting of results
• Create analytic data sets, analytic programs, and reports of results
• Ensure data consistency, reconcile anomalies, and follow good data management practices
• Contribute to the development of statistical analysis plans
• Assist in developing and executing quality monitoring for ongoing data collection
• Support research studies through sample selection, interim and final analyses, and preparation of results for publication
• Review or confirm statistical considerations in protocols (sample size/power/blinding)
• Participate in team calls and meetings
• Document and archive datasets and analytic programs
• May supervise or direct other SRAs and data management staff depending on the project needs and the qualification of the candidate.

This position offers some flexibility in hours with the expectation that the SRA works 3 weekdays on-campus during normal business hours (e.g., 8hrs/day 5 days a week with option of two days working remotely).

Qualifications
• Master’s degree in Biostatistics or Statistics
• Related experience:
• SRA III - minimum of 3 years of related experience
• SRA IV - minimum of 5 years of related experience
• Strong programming skills, including using SAS and R package
• Proficiency in statistical computing
• Proficiency with the statistical packages used in the department/project
• Proficiency in the development of statistical programs and software
• Excellent interpersonal and communication skills required
• Must be self-motivated and able to work well individually and as a team with a diverse group of investigators and researchers across disciplines.

Fred Hutchinson Cancer Center has a mandatory COVID-19 vaccine requirement, with exceptions only for approved medical or religious accommodations. As a condition of employment, newly hired employees must, prior to their first day of employment: Provide proof of being fully vaccinated against COVID-19 ; ORInitiate the accommodations process to request a religious or medical accommodation (medical accommodations require a healthcare provider’s certification).

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.

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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