Job ID: 8424
Job date: 2017-02-25
End Date:
Company : Fred Hutchinson Cancer Research Center Country : Role : Research Scientist
Job date: 2017-02-25
End Date:
Company : Fred Hutchinson Cancer Research Center Country : Role : Research Scientist
Job Description:
The Data Scientist provides collaborative and innovative analytic support across all divisions of the center, leveraging big data to support and empower center investigators. The Data Scientist will be responsible for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, and communication and presentation of results. This specific position will lead a new HDC initiative pertaining to the genomic integration of multifarious ‘omics data and downstream analyses. Responsibilities include working with scientific investigators and other subject matter experts; defining the scope of the data to be involved and all integration strategies; development of a multi-source data pipeline in a cloud environment and a means for data analysis. If necessary, this position will be responsible for the development of analysis- and/or production-ready software. This position will report to CIO. GENERAL FUNCTIONAL RESPONSIBILITIES: -Identify and integrate disparate data sources, both internal and external, including raw data from medical researchers, unstructured data from clinical experts, and well-established, publicly-available databases. -Develop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making. -Deliver novel, data-driven insights to improve outcomes in the treatment of cancer. -Identify areas of growth for the data science initiative and actively engage in enhancing the breadth and reach of data science across the Fred Hutch campus. -Collaborate with researchers and clinicians to identify high-impact opportunities for data science applications Manage data science projects from creation to completion. -Communicate results to technical and non-technical audiences Qualifications REQUIRED QUALIFICATIONS -Advanced degree (Masters or Ph.D.) in bioinformatics, computational biology, computer science, statistics, or equivalent, with a minimum of 4 – 5 years of related experience. -Core competency in at least one of the following: genomics, natural language, image processing, medical records or claims. -Experience with at least three major types of ‘omics data (e.g., sequence, expression array, RNA-Sew, proteomics) -Experiencing with creating and managing data pipelines for ‘omics data -Software development experience, ideally in R and/or Python -Experience with publicly available bioinformatics databases for annotation and ontologies -Strong written and oral communication skills, including report-writing, and presentation/visualization of analysis results -Some project management experience. QUALITIES NECESSARY FOR SUCCESS: -A strong desire to explore, investigate, dig, and generally uncover patterns and puzzles in data while maintaining a strong sense of thoughtful and pragmatic solutions. -Ability to advise investigators and management in clear language about results and new directions; strong oral and written communication and critical thinking skills are a must for this position. -Ability not only to work autonomously, but also to work collaboratively within multidisciplinary teams including statisticians, computational biologists, data engineers, epidemiologists, clinicians, administrators, etc. -Experience with messy, “real life” data sets. -Integrative genomic analysis experience -Knowledge of software development best practices (e.g., version control, unit testing, regression testing), and experience with an agile software development methodology -Knowledge of best practices in data analysis and scientific computing (e.g., literate programming, reproducible research) -Processing TCGA datasets -Experience with working in a cloud environment (e.g., Amazon’s EC2) -Experience with using and managing data in clinically regulated environments SOFT-SKILL QUALIFICATIONS: -Proven ability to collaborate with various levels of internal and external partners, being able to work independently, with heavy multi-tasking -Excellent interpersonal skills and professional diplomacy -Excellent verbal and written communication skills
Additional Info:
The Hutch Data Commonwealth (HDC) represents a new organization within the Fred Hutchinson Cancer Research Center with a mission to develop new capabilities and resources to facilitate the center’s interaction with large and complex data sets. HDC data scientists partner with center investigators in research leveraging high-dimensional data to drive requirements into the HDC product team where data and software engineers are responsible for developing and supporting robust data management and analysis platforms and tools.[Click Here to Access the Original Job Post]
The Data Scientist provides collaborative and innovative analytic support across all divisions of the center, leveraging big data to support and empower center investigators. The Data Scientist will be responsible for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, and communication and presentation of results. This specific position will lead a new HDC initiative pertaining to the genomic integration of multifarious ‘omics data and downstream analyses. Responsibilities include working with scientific investigators and other subject matter experts; defining the scope of the data to be involved and all integration strategies; development of a multi-source data pipeline in a cloud environment and a means for data analysis. If necessary, this position will be responsible for the development of analysis- and/or production-ready software. This position will report to CIO. GENERAL FUNCTIONAL RESPONSIBILITIES: -Identify and integrate disparate data sources, both internal and external, including raw data from medical researchers, unstructured data from clinical experts, and well-established, publicly-available databases. -Develop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making. -Deliver novel, data-driven insights to improve outcomes in the treatment of cancer. -Identify areas of growth for the data science initiative and actively engage in enhancing the breadth and reach of data science across the Fred Hutch campus. -Collaborate with researchers and clinicians to identify high-impact opportunities for data science applications Manage data science projects from creation to completion. -Communicate results to technical and non-technical audiences Qualifications REQUIRED QUALIFICATIONS -Advanced degree (Masters or Ph.D.) in bioinformatics, computational biology, computer science, statistics, or equivalent, with a minimum of 4 – 5 years of related experience. -Core competency in at least one of the following: genomics, natural language, image processing, medical records or claims. -Experience with at least three major types of ‘omics data (e.g., sequence, expression array, RNA-Sew, proteomics) -Experiencing with creating and managing data pipelines for ‘omics data -Software development experience, ideally in R and/or Python -Experience with publicly available bioinformatics databases for annotation and ontologies -Strong written and oral communication skills, including report-writing, and presentation/visualization of analysis results -Some project management experience. QUALITIES NECESSARY FOR SUCCESS: -A strong desire to explore, investigate, dig, and generally uncover patterns and puzzles in data while maintaining a strong sense of thoughtful and pragmatic solutions. -Ability to advise investigators and management in clear language about results and new directions; strong oral and written communication and critical thinking skills are a must for this position. -Ability not only to work autonomously, but also to work collaboratively within multidisciplinary teams including statisticians, computational biologists, data engineers, epidemiologists, clinicians, administrators, etc. -Experience with messy, “real life” data sets. -Integrative genomic analysis experience -Knowledge of software development best practices (e.g., version control, unit testing, regression testing), and experience with an agile software development methodology -Knowledge of best practices in data analysis and scientific computing (e.g., literate programming, reproducible research) -Processing TCGA datasets -Experience with working in a cloud environment (e.g., Amazon’s EC2) -Experience with using and managing data in clinically regulated environments SOFT-SKILL QUALIFICATIONS: -Proven ability to collaborate with various levels of internal and external partners, being able to work independently, with heavy multi-tasking -Excellent interpersonal skills and professional diplomacy -Excellent verbal and written communication skills
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in computational biology
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
Areas :
Additional Info:
The Hutch Data Commonwealth (HDC) represents a new organization within the Fred Hutchinson Cancer Research Center with a mission to develop new capabilities and resources to facilitate the center’s interaction with large and complex data sets. HDC data scientists partner with center investigators in research leveraging high-dimensional data to drive requirements into the HDC product team where data and software engineers are responsible for developing and supporting robust data management and analysis platforms and tools.[Click Here to Access the Original Job Post]