Staff Scientist, Computational Biology

  • Anywhere

Company :
Fred Hutchinson Cancer Research Center

Location :
Seattle, Washington

Expiry Date :
Sun, 06 Dec 2020 23:59:59 GMT

Apply Job :
Open Link

Description :
Job Details Full-timeEstimated: $74,000 – $100,000 a year1 hour ago Qualifications – AI – C – C++ – Communication skills – Clinical trials – Doctoral degree Full Job Description Overview: Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here. At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired our commitment to diversity, antiracism, and inclusion. Fred Hutch launched the Translational Data Science Integrated Research Center (TDS IRC) in December 2018 to expand the breadth and depth of data science at our center. Led by Dr. Raphael Gottardo, the TDS IRC builds on several recent advances in biomedical sciences, including technologies that are driving generation of massive datasets, exponential growth of publicly available data, and revolutionary approaches in statistics, machine learning and artificial intelligence that are changing data analysis. Labs in the TDS IRC develop statistical methods and computational tools for managing and analyzing high throughput, high dimensional data and many labs work closely with translational researchers. Click here to learn more about the TDS IRC. The TDS IRC is seeking a PhD level Staff Scientist in computational biology or related fields to lead efforts to expand computational biology support across the center. The ideal candidate will support large collaborative projects in a wide range of problems in oncology research and serve as a consultant/link for laboratory scientists seeking computational collaborations. The incumbent will collaborate with laboratory-based scientists, clinical investigators, biostatisticians, data scientists, programmers and computational biologists in two ways: As a contributing member on teams developing novel technologies and data analysis tools for analyzing clinical and pre-clinical samples. As a consultant, linking researchers across Fred Hutch to data scientists, programmers, and computational biologists with interest in collaboration. Through these multi-disciplinary collaborations, the Staff Scientist will support and expand opportunities to novel tools and technologies to innovative pre-clinical and clinical studies. Responsibilities: Consult with Fred Hutch researchers in search of support and collaboration to solve data science problems Manage and set scientific priorities across projects Develop and optimize computational pipelines to enable the integration and management of large and complex data sets Develop well-documented, properly tested, open-source software for reproducible research Interpret results from computational and statistical analysis Assist with study design and analysis of pre-clinical and clinical trials Participate in the dissemination of research findings Co-author manuscripts for publication Qualifications: Minimum qualifications: PhD or equivalent degree in bioinformatics, computational biology, biostatistics, statistics, computer science, or a related field Experience in analysis of next generation sequencing data Excellent programming skills (python, R, C/C++, Java) including best software development practices (e.g., design, unit tests, documentation, code review) Excellent interpersonal, oral and written communication skills Strong work ethic Ability to work in a team, and supervise junior team members Ability to manage multiple projects and to meet deadlines Preferred qualifications: Experience in high-dimensional data, particularly at the single-cell level (e.g., scRNA-seq) Experience in cloud computing (e.g., AWS) Experience in immunology A statement describing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through 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 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 or by calling . Show full job description Apply Now