We are looking to fill a position of biostatistics/ bioinformatician who can support statistical and bioinformatics aspect of translational research in the Sarwal Lab at the Department of Surgery which consists of a group of research scientists working on multiple projects related to biomarker discovery using next generation sequencing, transcriptomics, proteomics, and metabolomics.
Education and training: The position requires a PhD degree in biostatistics or bioinformatics. Work experience in the development of bioinformatics and biostatistics methods for biomarker discovery is a plus.
Skills: The position requires at least two years of translational bioinformatics research in an academic/or biotech setting. Strong experience and proficiency with (1) statistical methods, including principal component analysis, survival analysis, multivariate, time series trend analysis, ANOVA, and sample size power analysis (2) understanding and expertise on microarray data analysis using some or all of the following: Bioconductor, DChip, SAM, PAM, GeneSpring, JMP genomics, GeneCluster, TreeView, Ingenuity Pathway Analysis (3) relational database management systems, such as MySQL, (4) programming languages, such as PERL or Python (5) machine learning methodologies, such as Random Forest, SVM, Logistic regression, nested loop cross validation, discriminant analysis, (6) statistical software, such as R and SAS (7) integrative genomics data analysis from multi-platforms from GEO and ArrayExpress (7) ontology, such as Unified Medical Language Systems and medical databases.
Job description: The employee will assist in developing methods to analyze and integrate various types of high-throughput molecular measurements including genetic, genomic, transcriptomic, proteomic, antibodiomic, miRNA, metabolomic, and clinical data. The employee of this position will be responsible to perform various statistical analyses of the “omic” data that has been generated in the lab as well as publicly available data.
Postdoctoral Fellow (Biomarker discovery using high throughput “omics” methods)
Postdoctoral fellowship position available immediately to highly motivated individuals with an interest in the field of biomarker discovery using high throughput sequencing (NGS), gene expression (GE) using microarray and QPCR, MC-MS based proteomics and metabolomics. The fellow will perform experiments related to biomarker discovery projects and data analysis.
Requirements: A PhD or MD/PHD in either molecular biology, biochemistry, biostatistics, bioinformatics. Experience in microarray, QPCR, Proteomics, biomarker discovery techniques is preferred.
How to Apply
Please email the following to Tara.Sigdel@ucsf.edu:
Curriculum vitae (CV)
Personal statement describing your interest in the Sarwal lab and your overall career goals and objectives.
The names of (3) references including their contact information
UCSF 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 covered veterans. All qualified applicants are encouraged to apply, including minorities and women.
I appreciate your help in spreading the word.
From: Sigdel, Tara [mailto:Tara.Sigdel@ucsfmedctr.org]
Sent: July-14-14 2:34 PM
To: Raunak Shrestha
Just wanted to check if you have already graduated. I am always interested in some form of collaboration. Currently we are looking for a postdoc and we are a fertile ground for a bioinformatician as we house so much omics data on different diseases.
Let me know about your status and any immediate plan and stay in touch.
My best wishes,
Tara Sigdel, PhD
Department of Surgery, University of California San Francisco
513 Parnassus Ave, S-1268 Medical Sciences Building
San Francisco, CA 94143
Ph (415) 502-7921, Fax (415)476-0936