Job Description:
Title Institute Research Scientist Posting Title Institute Research Scientist - Computational Biologist Employment Status Full-Time Department Applied Cancer Science Inst Auto req ID 6364BR Address 1 1901 East Rd City Houston Zip/Postal Code 77054 Salary Minimum 95000.000 Salary Midpoint 118000.000 Salary Maximum 142000.000 Fund Type Soft Fund Work Week Days Job Description As part of M. D. Anderson’s Moonshots program, patients’ clinical and genomic data will be collected and integrated to create increasingly large data repositories that will be mined to drive translational research and ultimately improve patient outcome. Working closely with clinical colleagues, the computational biologist positions within the Institute for Applied Cancer Science and Department of Genomic Medicine provide the opportunity for the candidate to participate in and contribute to all aspects of mining large scale data sets related to patients, exploring and understanding the complex interactions of genotype and clinical phenotype, formulating and validating hypothesis, and identifying prognostic and predictive models as well as potential targets for treatment and drug development. We are looking for energetic and independent individuals to play key roles in the integration and mining of M. D. Anderson’s data warehouse using advanced mathematical/computational approaches. Summary Participates in cross-functional research to identify and validate novel oncology targets, and translate these finding into novel oncology therapeutic agents to benefit patients. Key Functions 1. Work closely with clinicians and biologists to provide customized bioinformatics/computational support throughout their studies. 2. Extract and integrate internal and public genomic and clinical data to produce standardized data sets that can be distributed within M. D. Andersons’ computing environment and used by clinicians and researchers. 3. Develop software modules to regularly perform standard data analysis routines in an automated fashion and provide visualization tools for clinicians and researchers to explore the results. 4. Systematically explore and mine multi-dimensional data to validate experimental findings or formulate hypothesis to provide directions of further studies. 5. Identify issues of practical or theoretical importance and drive to solutions through innovative mathematical/computational approaches. 6. Evaluate existing algorithms and develop new algorithms and user friendly tools that can be deployed to MDACC or larger research communities. 7. Work with bioinformaticians, IT personnel, and other researchers to respond to new technologies. Job Description - Requirements Education: Required: Master's degree in Biology, Biochemistry, molecular biology, cell biology,enzymology, pharmacology, chemistry or related field. Preferred: A Ph. D. degree in bioinformatics, biostatistics, statistics, mathematics or related field and extensive experience in analyzing/mining large scale biological data Experience: Required: Ten years’ of relevant research experience in lab. With preferred degree, two years’ of same experience. Preferred: Working experience in mining genomic and clinical data. Applicants with experience in pattern recognition/machine learning, mathematical/statistical modeling, network analysis and experience in data integration, data mining, NGS data analysis (mutations,structural variations, and expression). Proficiency in at least one programming language such as R, C/C++, Perl, Python, or JAVA. Working Conditions: Laboratory environment
Additional Info:
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Title Institute Research Scientist Posting Title Institute Research Scientist - Computational Biologist Employment Status Full-Time Department Applied Cancer Science Inst Auto req ID 6364BR Address 1 1901 East Rd City Houston Zip/Postal Code 77054 Salary Minimum 95000.000 Salary Midpoint 118000.000 Salary Maximum 142000.000 Fund Type Soft Fund Work Week Days Job Description As part of M. D. Anderson’s Moonshots program, patients’ clinical and genomic data will be collected and integrated to create increasingly large data repositories that will be mined to drive translational research and ultimately improve patient outcome. Working closely with clinical colleagues, the computational biologist positions within the Institute for Applied Cancer Science and Department of Genomic Medicine provide the opportunity for the candidate to participate in and contribute to all aspects of mining large scale data sets related to patients, exploring and understanding the complex interactions of genotype and clinical phenotype, formulating and validating hypothesis, and identifying prognostic and predictive models as well as potential targets for treatment and drug development. We are looking for energetic and independent individuals to play key roles in the integration and mining of M. D. Anderson’s data warehouse using advanced mathematical/computational approaches. Summary Participates in cross-functional research to identify and validate novel oncology targets, and translate these finding into novel oncology therapeutic agents to benefit patients. Key Functions 1. Work closely with clinicians and biologists to provide customized bioinformatics/computational support throughout their studies. 2. Extract and integrate internal and public genomic and clinical data to produce standardized data sets that can be distributed within M. D. Andersons’ computing environment and used by clinicians and researchers. 3. Develop software modules to regularly perform standard data analysis routines in an automated fashion and provide visualization tools for clinicians and researchers to explore the results. 4. Systematically explore and mine multi-dimensional data to validate experimental findings or formulate hypothesis to provide directions of further studies. 5. Identify issues of practical or theoretical importance and drive to solutions through innovative mathematical/computational approaches. 6. Evaluate existing algorithms and develop new algorithms and user friendly tools that can be deployed to MDACC or larger research communities. 7. Work with bioinformaticians, IT personnel, and other researchers to respond to new technologies. Job Description - Requirements Education: Required: Master's degree in Biology, Biochemistry, molecular biology, cell biology,enzymology, pharmacology, chemistry or related field. Preferred: A Ph. D. degree in bioinformatics, biostatistics, statistics, mathematics or related field and extensive experience in analyzing/mining large scale biological data Experience: Required: Ten years’ of relevant research experience in lab. With preferred degree, two years’ of same experience. Preferred: Working experience in mining genomic and clinical data. Applicants with experience in pattern recognition/machine learning, mathematical/statistical modeling, network analysis and experience in data integration, data mining, NGS data analysis (mutations,structural variations, and expression). Proficiency in at least one programming language such as R, C/C++, Perl, Python, or JAVA. Working Conditions: Laboratory environment
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- RNA-seq
- Signaling Network Inference
Areas :
Additional Info:
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