Job Description:
The laboratory of Dr. Atul Butte at Stanford Medical School is seeking highly motivated investigators to develop and study novel approaches in data-driven biomedical research to discover new biomarkers, therapeutics, and to revolutionize health and health-care. Post- doctoral fellowships are fully funded for at least 2 years. Ideal candidates will have an M.D. and/or Ph.D. with a strong background in bioinformatics, computational biology, biostatistics, and genomics, excellent communication and programming skills, and a great publication record. Strong problem-solving skills, creative thinking, and the ability to build new software tools as needed are required. A dual background in both computation and molecular biology or medicine or pharmacology will be a strong plus. Prior experience with genetic, microarray, drug, or clinical databases, text-mining, knowledge representation, or parallel computing platforms is a plus. Applicants must possess good communication skills and be fluent in both spoken and written English. This exciting work will be guided by multidisciplinary collaborations with top scientists in stem-cell, immunology, diabetes, and cancer biology research at Stanford. To apply, please send your CV, a brief statement of research interests, and contact information for three references. butte-lab-jobs@lists.stanford.edu
Additional Info:
The laboratory of Dr. Atul Butte at Stanford Medical School is seeking highly motivated investigators to develop and study novel approaches in data-driven biomedical research to discover new biomarkers, therapeutics, and to revolutionize health and health-care. Post- doctoral fellowships are fully funded for at least 2 years. Strong problem-solving skills, creative thinking, and the ability to build new software tools as needed are required. A dual background in both computation and molecular biology or medicine or pharmacology will be a strong plus. Prior experience with genetic, microarray, drug, or clinical databases, text-mining, knowledge representation, or parallel computing platforms is a plus.[Click Here to Access the Original Job Post]
The laboratory of Dr. Atul Butte at Stanford Medical School is seeking highly motivated investigators to develop and study novel approaches in data-driven biomedical research to discover new biomarkers, therapeutics, and to revolutionize health and health-care. Post- doctoral fellowships are fully funded for at least 2 years. Ideal candidates will have an M.D. and/or Ph.D. with a strong background in bioinformatics, computational biology, biostatistics, and genomics, excellent communication and programming skills, and a great publication record. Strong problem-solving skills, creative thinking, and the ability to build new software tools as needed are required. A dual background in both computation and molecular biology or medicine or pharmacology will be a strong plus. Prior experience with genetic, microarray, drug, or clinical databases, text-mining, knowledge representation, or parallel computing platforms is a plus. Applicants must possess good communication skills and be fluent in both spoken and written English. This exciting work will be guided by multidisciplinary collaborations with top scientists in stem-cell, immunology, diabetes, and cancer biology research at Stanford. To apply, please send your CV, a brief statement of research interests, and contact information for three references. butte-lab-jobs@lists.stanford.edu
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Modeling
- Next Generation Sequencing
- Signaling Network Inference
- Systems Biology
Areas :
Additional Info:
The laboratory of Dr. Atul Butte at Stanford Medical School is seeking highly motivated investigators to develop and study novel approaches in data-driven biomedical research to discover new biomarkers, therapeutics, and to revolutionize health and health-care. Post- doctoral fellowships are fully funded for at least 2 years. Strong problem-solving skills, creative thinking, and the ability to build new software tools as needed are required. A dual background in both computation and molecular biology or medicine or pharmacology will be a strong plus. Prior experience with genetic, microarray, drug, or clinical databases, text-mining, knowledge representation, or parallel computing platforms is a plus.[Click Here to Access the Original Job Post]