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Computational Biology Data Scientist
4 months ago
- Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan.
- Experience in single cell data analyses and integrative multi-omics approaches is a strong plus.
- A background in immunology and experience working with clinical trial data will be a plus and will help in the development of independent research projects.
- Oversee junior-level data scientists on data cleaning and creation of analytic files and mentor junior-level data scientists in the area of conducting collaborative research.
- Lead methodological projects related to collaborations on topics including the evaluation of software or methods as well as the development of novel methods, as need arises within QSU collaborative projects.
- Collaborate with clinical and lab-based investigators on campus including the Heart Center, the Department of Medicine, the Department of Neurosurgery, and the Stanford Cancer to independently design studies and develop analysis plans. More specifically, the incumbent will meet one-on-one with the collaborator to gain background on the study and the research questions and help to refine the questions and formulate the hypotheses. The incumbent will also extract necessary information to design the study with optimal operating characteristics and to develop a sound analysis plan.
- Develop oral and written dissemination of findings for meetings with collaborators or for medical and/or statistical journal articles. The incumbent is also expected to develop lectures on statistical methods or statistical programming for the training of clinical investigators as needed and for the training of junior biostatisticians. In addition, the incumbent will participate in developing and writing grant proposals.
- Ph.D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field.
- Capable of functioning independently and collaboratively at an advanced level under the overall direction of the QSU Director
- Experience with multiple programming languages such as Python and R.
- Outstanding oral and written communication skills with the ability to communicate technical information to all audiences.
- Skilled in descriptive analysis, modeling of data, and graphic interfaces.
- Demonstrated expertise in analytic tools.
- At least five years of experience collaborating as a computational biologist or biostatistician is desirable.
- Experience supervising technical staff including training, mentoring and coaching.
- Experience developing and writing grant proposals.
The expected pay range for this position is $102,000 to $129,000 per annum.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.Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
- Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
- A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
- A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
- Discovery and fun. Stroll through historic sculptures, trails, and museums.
- Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more.
- Schedule: Full-time
- Job Code: 6438
- Employee Status: Fixed-Term
- Grade: R99
- Requisition ID: 103453
- Work Arrangement : Hybrid Eligible