Organisation Name: Oregon Health & Science University
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Job Description:
Function/Duties of Position Every Knight Cancer employee is expected to embody our guiding principles: We act BOLDLY—Breakthroughs require pushing the boundaries of science, exploring new frontiers, and thinking differently We SUPPORT each other—Respect leads to trust, which leads to excellence We work as a CONNECTED team — We must leverage our collective brain power to conquer cancer because no one individual can do it alone Duties Include: Collaboration: Acts as the primary contact between IMCO and the mIHC and CyTOF platforms in terms of data generation and management. Interfaces with other members of the cores to streamline data management and generation including computational requirements and analysis interpretation. Data Management: Has responsibility for understanding current and future mIHC and CyTOF data management needs. Assists in understanding current challenges in data management and participates in software infrastructure plans for improving data management process and output with the goal of synergizing and streamlining the mIHC and CyTOF analytics. Workflows: Leads the development of automated data analysis workflows for mIHC and CyTOF datasets. Investigates published approaches, adopts/enhances approaches as needed, and works with software developers to implement complete workflows that are reproducible and scalable. Tools: Uses best practice software development, data analysis and biostatistics approaches to implement analysis and visualization tools for mIHC and CyTOF. Is responsible for developing, validating, and documenting the tools developed. Report generation and Custom Analysis: Is responsible for custom analyses that arise from omics, imaging and mass spectroscopy datasets generated by or for the IMCO. Report generation and interaction with prospective internal and external clients to assure data generated reflects biologically relevant questions generated by the client. Required Qualifications Master’s degree with major courses in data analysis and biostatistics and 3 years of relevant – OR - Bachelors degree and 5 years of relevant experience Experience using code based translational data analysis and algorithm development to help translate research into clinically actionable insights Demonstrated excellence in translational research (immunology, cancer biology, flow/facs, imaging, single cell assays) Advanced skills in a high- level programming language, preferably R or Python Ability to use R statistical analysis software - good understanding of biological statistics Experience with data visualization in python or R - (R- ggplot, plotly, Rshiny; Python- Bokeh, Seaborn) Knowledge of Linux or Unix commend line, optionally with Java or C/C++, TABLEAU An understanding of machine learning, data modeling or statistical techniques, such as mixed-model regression, principal component analysis, classifier construction and validation, biomarker discovery and optimization methods Experience with architecture and tools for managing “omics data OR imaging data Ability to work independently and as part of a team while being collaborative in resolving problems Excellent communication, analytical and organizational skills, both written and verbal Ability to prioritize multiple tasks at one time Preferred Qualifications Ph.D. in data science and biostatistics 7+ years of work experience as a computational biologist, bioinformatics scientist or other data science analyst with biostatistical experience Two years team science experience in a collaborative research environment One year of hands-on experience with generation and analysis of omics and/or imaging data At least 3 years work experience in a professional, team-oriented computational biology environment High performance computing experience A passion for human data analytics and cancer treatment
