Stanford University's Xiao Laboratory is seeking a Life Science Research Professional 1 to contribute to the development of creative mass spectrometry (MS)-based strategies and data science to understand mechanisms of metabolic regulation over protein function in health and disease.
Requirements
- Expertise in organic or medicinal chemistry.
- Expertise in bioinformatics and machine learning.
- Outstanding mammalian cell culture techniques.
- Experience in basic cellular and molecular biology techniques including, but not limited to, PCR, protein/DNA/RNA extraction and gel electrophoresis, bacterial transformation, imaging, cloning, gene-editing (such as CRISPR), small and large scale plasmid purification, sequencing, transfection by electroporation, transduction of viral supernatants into cell lines, and using standard software (such as Image J, BioRad, SnapGene, etc) to facilitate biological experiments.
- Experience in mass spectrometry-based proteomics and metabolomics.
- Experience working with mice and performing animal physiology experiments.
- Experience in the field of molecular metabolism.
Responsibilities
- Plan and perform experiments in support of research projects in lab and/or field based on knowledge of scientific theory. Interpret and perform basic analyses of results.
- Review literature on an ongoing basis to remain current with new procedures and related research.
- Offer suggestions regarding modifications to procedures and protocols in collaboration with graduate and post-doctoral individuals.
- Maintain detailed records of experiments and outcomes.
- Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.
- Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed.
- Help orient and train new staff or students.
Other
- A bachelor’s degree in biological sciences or related fields is required.
- Ability to maintain detailed records of experiments and outcomes.
- General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
- Ability to work under deadlines with general guidance.
- Excellent organizational skills and demonstrated ability to accurately complete detailed work.
