Stanford University's Department of Radiology is seeking a Life Science Research Professional 3 to support the development of personalized medicine by moving advances from laboratories to the clinic, requiring complex research functions and independent project execution.
Requirements
- Experience in the development and implementation of machine learning code.
- Excellent computer skills using spreadsheet, database, and word processing software; experience with Windows and DOS; Experience with Python or C, SQL, R, Tableau, MongoDB, NoSQL, Google Cloud, PySpark.
- General computer skills, experience with databases and scientific applications, and ability to quickly learn and master computer programs.
- Strong analytical skills and excellent judgment.
- Ability to work under deadlines with general guidance is essential.
- Excellent organizational skills and demonstrated ability to complete detailed work accurately.
- Developing project management skills.
Responsibilities
- Develop machine learning software to efficiently recognize features in human images.
- Provide assistance to investigators in the design and development of research studies, and responsible for data analysis and record-keeping.
- Design new research studies in collaboration with the principal investigator, project scientists, and research associates.
- Carry out independent research projects as warranted.
- Responsible for submission of protocols and implementation of studies, including data analysis and drafting of manuscripts.
- Perform complex (lab and/or field) experiments for a major portion of the research project.
- Interpret and analyze results, often where few guidelines exist.
Other
- Directly supervise various personnel during experiments.
- Ensure safety, IACUC, AALAC, EH&S, and CUPA compliance in research study area.
- Supervise (either formally or informally) staff or students as needed, including oversight and instruction on techniques, as well as consultation on project work.
- Work with health and safety department to ensure lab complies with regulations and all required trainings.
- Participate in multidisciplinary teams across different faculties or schools.
