Stanford University is seeking a Life Science Research Professional 3 to perform complex functions and activities involved in defined research projects, and independently conduct a major portion of the research project(s). The Department of Radiology at Stanford University is comprised of world-renowned people and programs. As we plan to play a very important role in the development of personalized medicine, by moving advances from the laboratories to the clinic for improved patient-centric care, our Life Science Research Professional plays a vital role in helping our Department accomplish this.
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.
- Skills to organize information and keep accurate records for each experiment.
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
- BS in engineering degree and MS degree that includes analystics and one year of relevant industry experience including machine learning; or PhD in related science field.
- Directly supervise various personnel during experiments.
- Ensure safety, IACUC, AALAC, EH&S, and CUPA compliance in research study area.
- Contribute substantively to the preparation of papers for publication, especially in the results section.
- Supervise (either formally or informally) staff or students as needed, including oversight and instruction on techniques, as well as consultation on project work.
