Positions Available
Postdoctoral Position in Statistical Genetics or Genetic Epidemiology
The UCSF Center for Cerebrovascular Research (CCR) is seeking a post-doctoral fellow with interest and expertise in either statistical genetics or genetic epidemiology to participate in projects aimed at understanding the genetic basis of brain vascular malformations, including arteriovenous malformations, subarachnoid hemorrhage, and cerebral cavernous malformations. The CCR is an interdisciplinary group of faculty and staff studying various aspect of cerebral pathophysiology and vascular biology. Projects include candidate gene and genome-wide association studies, gene expression studies, and functional outcome studies. More information can be found on our website at http://avm.ucsf.edu.
Opportunities for training and research are available in many areas, including basic science, clinical and translational stroke research, epidemiology and biostatistics, bioinformatics, and human and mouse genetics. The research environment is enhanced by strong national and international collaborative ties. Our group is highly interactive and multidisciplinary, including physician-scientists, genetic epidemiologists, molecular geneticists, and molecular biologists. A strong background in statistical genetics or genetic epidemiology and commonly used statistical packages (i.e., Stata, R, PLINK, etc.), proficiency in computer programming (i.e., Perl, C/C++, etc.) and different platforms (i.e., Linux), ability to work well with others, and good communication and writing skills are required. Preference will be given to applicants meeting residency requirements for sponsorship from a National Institutes of Health training grant.
Send cover letter, curriculum vitae, and three letters of recommendation to Helen Kim, Ph.D., Assistant Professor, UCSF Center for Cerebrovascular Research, at ccr@anesthesia.ucsf.edu
Last updated: 9/13/09
Statistical Data Analyst
The UCSF Center for Cerebrovascular Research has an excellent opportunity for a statistical data analyst to participate in various projects related to brain vascular malformations, which are an important cause of hemorrhagic stroke in young adults. We have a highly interactive and interdisciplinary group of investigators, including physician-scientists, genetic epidemiologists, statisticians, geneticists, and molecular biologists collaborating on clinical, translational and basic science projects. The research environment is enhanced by detailed phenotypic and genetic data from several large cohorts of healthy controls and different vascular malformation subtypes, including brain arteriovenous malformations and intracranial aneurysms. Our main laboratories and facilities are located at the San Francisco General Hospital campus, with patient recruitment and some research activities located at the Parnassus campus. Please visit http://avm.ucsf.edu for further information.
Job Responsibilities:
- Assist in design of queries to extract medical and scientific data from several clinical databases, and manipulate large data files, such as those generated by genomewide array data
- Ensure quality and integrity of data and produce reports
- Create algorithms for data inspection and data cleaning
- Develop analysis datasets and, under the direction of senior investigators, conduct complex statistical analysis, including analyses of large genome-wide SNP and expression data
- Assist investigators in analyzing datasets for grant proposals or manuscripts, including power calculations and writing up results
- Review programs and analyses conducted by others in the group for papers or grant proposals
Required Qualifications:
- Master’s level biostatistician or genetic epidemiologist with several years experience working in a medical/research environment
- Proficiency in STATA programming or other commonly used statistical software packages (R, SAS, etc.), and willingness to learn STATA
- Fluency in computer programming (Perl, C/C++, Java, etc.), and familiarity using different operating platforms, such as Linux
- Experience with survival analysis techniques
- Experience with sample size and power calculations
- Excellent verbal and written interpersonal and communication skills
- Attention to detail and quality of work
- Ability to work well both independently and in a team
To apply, please send your resume/CV to Dr. William L. Young, MD, Director, Center for Cerebrovascular Research at ccr@anesthesia.ucsf.edu
Last updated: 7/23/09
The University of California San Francisco is an affirmative action/equal opportunity employer.
The University undertakes affirmative action to assure equal employment opportunity
for underutilized minorities and women, for persons with disabilities, and
for Vietnam-era veterans and special disabled veterans.
|
