Job ID: 673091
Job date: 2019-02-13
End Date: 2019-03-25
Company : Stanford University School of Medicine Country : United States Role : Postdoc
Job date: 2019-02-13
End Date: 2019-03-25
Company : Stanford University School of Medicine Country : United States Role : Postdoc
Job Description:
The Peltz Laboratory at the Stanford University School of Medicine has multiple biomedical discovery programs, which generate complex datasets using advanced genetic and genomic methodology, that include: (i) Computational genetic analysis of multiple mouse models examining responses to drugs of abuse (cocaine, opiates and nicotine) that are generated by a multi-center (UO1) project; (ii) Developing artificial intelligence methods for genetic discovery; (iii) Analysis of human liver organoids to identify novel pathways affecting liver development, and for liver cancer treatment; (iv) A multi-center clinical trail that tests a new therapy, which emerged from a computational mouse genetic discovery, for preventing withdrawal in babies born to mothers that consume opiates; (v) Pharmacokinetic and metabolomic data obtained from mice with humanized livers, and from human subjects, using a new microcapillary sampling method. For each project, whole genome sequence, single-cell RNA-sequence, and/or metabolomic datasets are analyzed in an integrative fashion.
Additional Info:
Responsibilities include:
• Perform statistical and research for the above studies. This includes participating in study design; and performing data modeling, data analysis, and data management. • Developing new (or improved) methods for computational genetic research and AI-based discovery • Projects analyzed include big data/AI research for genetic mapping (using the mouse as the model organism); characterizing developmental systems using scRNA-seq and metabolomic data sets • Provide statistical analysis for evaluating traditional biologic experiments.[Click Here to Access the Original Job Post]
The Peltz Laboratory at the Stanford University School of Medicine has multiple biomedical discovery programs, which generate complex datasets using advanced genetic and genomic methodology, that include: (i) Computational genetic analysis of multiple mouse models examining responses to drugs of abuse (cocaine, opiates and nicotine) that are generated by a multi-center (UO1) project; (ii) Developing artificial intelligence methods for genetic discovery; (iii) Analysis of human liver organoids to identify novel pathways affecting liver development, and for liver cancer treatment; (iv) A multi-center clinical trail that tests a new therapy, which emerged from a computational mouse genetic discovery, for preventing withdrawal in babies born to mothers that consume opiates; (v) Pharmacokinetic and metabolomic data obtained from mice with humanized livers, and from human subjects, using a new microcapillary sampling method. For each project, whole genome sequence, single-cell RNA-sequence, and/or metabolomic datasets are analyzed in an integrative fashion.
Requeriments :
Skills :
- Bioinformatics
- Bioinformatics Databases
- Biostatistics
- Computational Biology
- Genetics
- genomic
- Human Genetics
- Modeling
- Programing in Python
- Programming in R
- Programming in SAS
- Statistics
- Transcriptomics
Areas :
Additional Info:
Responsibilities include:
• Perform statistical and research for the above studies. This includes participating in study design; and performing data modeling, data analysis, and data management. • Developing new (or improved) methods for computational genetic research and AI-based discovery • Projects analyzed include big data/AI research for genetic mapping (using the mouse as the model organism); characterizing developmental systems using scRNA-seq and metabolomic data sets • Provide statistical analysis for evaluating traditional biologic experiments.[Click Here to Access the Original Job Post]