Stanford University is seeking a Life Science Research Professional 1 to perform basic analytical functions and activities involved in defined research projects, and independently conduct data analyses focused on adoptive T cell immunotherapy for hematologic malignancies. The projects in the Mackall lab will primarily focus on understanding immune suppression of chimeric antigen receptor (CAR) T cells in the tumor microenvironment of lymphoma. The Mackall lab is a world class laboratory that has developed several T cell-based therapies currently in clinical trials. Drawing on this success, we continue to seek out further ways to improve care for patients with cancer.
Duties include:
- Plan approach to data analysis in support of research projects in the lab based on knowledge of scientific theory.
- Independently conduct analysis of single-cell sequencing and bulk sequencing data, deconvolute bulk sequencing datasets, and perform interactome and survival analyses; maintain detailed records of workflows and outcomes.
- Apply the theories and methods of data science, computational biology, and statistics to the life science discipline to interpret results; offer suggestions regarding modifications to procedures and datasets in collaboration with senior researcher.
- Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research.
- Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.
- Help with lab data analyses as needed; provide general lab support in statistics and data science methods as needed.
- Assist with orientation and training of new staff or students on lab procedures or techniques.
*- Other duties may also be assigned.
DESIRED QUALIFICATIONS:
Desired candidate should have experience in computational biology and data science related to CAR T cell or immunotherapy research. He/she should be trained in single-cell sequencing and bulk sequencing data analysis, survival analysis, deconvolution techniques, and general theory and methods of data science, computational biology, and statistics. Experience with interactome analysis is highly desired. A bachelor’s degree in cell/molecular biology or data science is preferred.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor’s degree in related scientific field.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
- Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.
- 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.
PHYSICAL REQUIREMENTS*:
- Must have correctible vision to perform duties of the job.
- Position may require repetitive motion.
*- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
WORK STANDARDS:
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned.
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu.
The expected hourly pay range for this position is $25.48 to $36.05 per hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.