Information Sciences Professional; Intermediate, Senior, Principal part-time

Information Sciences Professional (Intermediate, Senior, Principal – Open Rank), part‑time (0.2 FTE; qualification dependent)

Remote

• Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis
• Perform scientifically rigorous data management and bioinformatics analyses
• Run machine learning tests and experiments
• Maintain computer system software and security
• Assist with selection of appropriate datasets and data representation methods
• Perform evaluation and analysis of test results
• Train and retrain systems when necessary
• Develop and disseminate a variety of tools designed to access relevant clinical and sample data
• Develop machine learning applications according to requirements
• Research and implement appropriate ML algorithms and tools
• Develop and implement complex analysis pipelines, programming, and data visualization techniques
• Extend existing ML libraries and frameworks
• Creatively and effectively integrate data from multiple sources to accelerate discoveries
• Study and transform data science prototypes
• Assist with the design and development of major bioinformatics‑related programming projects
• Write custom scripts to access databases and analyze data
• Keep abreast of developments in the field
• Independently and creatively identify bioinformatics and data management solutions
• Assist Team Leads, Supervisors and/or management with creation and implementation of processes and procedures and quality improvement initiatives
• Assist and train junior team members

• Assist with developing or develop protocol‑specific systems and documents including process flows, training manuals, and Standard Operating Procedures (SOPs)
• Maintain subject level documentation and prepare documents, equipment, and/or supplies
• Assist with identifying issues related to operational efficiency and share results with leadership
• Provide biostatistical/data science expertise and leadership in study design, study oversight, data management, data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines
• Serve as a resource to PIs and other stakeholders

• Act as a subject matter expert and authority in the area of machine learning

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Mathematics, or related field
• A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis
• One (1) year professional data management and bioinformatics analysis experience

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field
• A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis
• Two (2) years professional data management and bioinformatics analysis experience

• Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field
• A combination of education and related technical/paraprofessional experience may be substituted for the bachelor's degree on a year for year basis
• Minimum three (3) years professional data management and bioinformatics analysis experience

• Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Mathematics, or related field
• One (1) to four (4) years of experience analyzing data using high-performance computing

• Strong to expert ability to analyze and solve complex problems and apply quantitative analytical approaches, depending on level
• Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary
• Understanding of data structures, data modeling and software architecture
• Deep…