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Life Science Research Professional 1
4 months ago
Life Science Research Professional 1 - Heitzeneder Lab Onsite Work Agreement
Stanford University is seeking a computational Life Science Research Professional 1 to perform basic analytical functions and activities in defined research projects and independently conduct bioinformatic data analyses focused on adoptive T cell immunotherapy for pediatric solid tumors and brain tumors.
The LSRP1 will be working in the laboratory of Dr. Sabine Heitzeneder, which focuses on the identification of novel target antigens expressed at high levels on childhood cancer and the development of adoptive T cell immunotherapies to treat pediatric cancers. As part of the Department of Pediatrics (Division of Hematology/Oncology) and the Stanford Cancer Institute (SCI) at the Stanford University School of Medicine, the Heitzeneder Lab will contribute to the clinical and translational research pipeline in the Stanford Center for Cancer Cell Therapy. Dr. Heitzeneder has developed T cell-based therapies currently in the clinical translational pipeline with plans for human studies in the near future. Drawing on this success, we continue to seek out further ways to improve care for children with cancer.
The Stanford Cancer Institute (SCI) is one of an elite number of National Cancer Institute-Designated Comprehensive Cancer Centers in the country, and is a prominent, dynamic, growing and complex Institute within the Stanford
University School of Medicine. The SCI actively works to build synergies and collaborations among faculty with cancer-relevant expertise from four Schools and over 30 departments across Stanford University.
We seek a LSRP1 to help us enact our mission to reduce cancer mortality through comprehensive programs of cancer research, treatment, education and outreach. Given the SCI's mission, breadth, and depth, it employs over 325 staff members in a fast-paced, team-oriented, and forward-thinking environment with tremendous opportunities for personal and professional growth.
Reporting to the Principal Investigator and working with postdoctoral fellows and scientists, the LSRP1 will be conversant in the goals, mission and priorities of the Institute. We are seeking candidates with excellent organizational and communication skills. Our staff run toward challenges, and you will have a demonstrated history of doing the same with a high degree of professionalism, initiative, and flexibility.
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 bulk and single-cell sequencing data, deconvolute bulk sequencing datasets, and perform differential gene expression analyses; maintain detailed records of pipelines, workflows and outcomes.
- Independently conduct analysis of immunopeptidome data, deconvolute data and integrate with transcriptome and whole exome sequencing data to identify promising peptide-MHC target antigens for immunotherapeutic targeting, maintain detailed records of pipelines, workflows and outcomes.
- Independently conduct analysis of single-cell T cell receptor datasets, maintain detailed records of pipelines, 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 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 differential gene expression analysis of large datasets derived from normal and tumor tissues 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.
WORKING CONDITIONS:
- Desk for Computational work next to the wetlab is provided.
- May require extended or unusual work hours based on research requirements and business needs.
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, .
The expected pay range for this position is $26.44 to $36.54 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 ( ) 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.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form .
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Additional Information- Schedule: Full-time
- Job Code: 4943
- Employee Status: Regular
- Grade: E
- Requisition ID: 103173
- Work Arrangement : On Site
