Job ID:
Job date: 2017-08-17
End Date:
Company : University of Houston Country : Role : Faculty | Research Scientist
Job date: 2017-08-17
End Date:
Company : University of Houston Country : Role : Faculty | Research Scientist
Job Description:
The NextGen sequencing core at the University of Houston (UH) seeks an experienced and talented PhD data scientist for a non-tenure track faculty position at the Research Assistant Professor level beginning Fall of 2017. The candidate must have over 5+ years of experience in large genomic datasets with a strong track record of publications in relevant areas. Prior experience in dealing with variant calling/population genomics characterization in large cohort studies, as well as development of novel algorithmic solutions for custom disease specific multi-omics sequencing projects will be desirable. Prior experience in cancer research, RNA fusion detection or single-cell sequencing will be strongly preferred. An ideal candidate will also have broad familiarity with Illumina sequencing chemistry. The candidate must have a strong foundation in algorithm design, optimization and statistical/machine learning methods with a PhD in Physics, Mathematics, Statistics, Bioinformatics, Computer Science or related areas. The candidate should have demonstrable coding abilities in either Python,C, Java , C++, ruby or R . Familiarity with high performance computing platforms and cloud computing technologies like AWS will be a strong plus. The candidate should be a good communicator and has to show initiative and leadership in collaborative projects. The candidate will also participate in grant writing activities and in advising graduate students and sequencing core clients about their bioinformatics requirements. The candidate will be responsible for the entire Bioinfomatics pipeline development for the core as well as lead the Bioinformatics research efforts at the core. Qualifications: Appointment to our faculty requires a Ph.D. in Physics, Statistics, Computer Science, Mathematics, Bioinformatics or related areas, 5+ years of relevant work experience and a strong publication record in this field. Preferred Qualifications: 5+ years of hands-on experience in variant calling and annotation in Big Genomic Datasets. Demonstrable experience in designing complex pipelines on high performance computing systems and cloud computing systems in either Python, C, C++, Java, Ruby. Experience in statistical softwares like R, SAS. Past experience in cancer research. Knowledge of statistical/machine learning algorithms. Experience with scientific visualization
Additional Info:
Salary: Commensurate with Experience Organization: H0104 Biology The University of Houston sequencing core led by Dr. Preethi Gunaratne, is fully equipped to handle projects in whole genome sequencing, exome sequencing, transcriptome sequencing, microbial sequencing, ChIPseq, microRNAseq, with core competencies in cancer research and noncoding RNA studies. The sequencing center has played an integral part in several large scale cohort studies including the NIH/NCI TCGA (The Cancer Genome Atlas) consortium and has ongoing research collaborations in and around the Texas Medical Center. Further details about the core can be found at http://seqnedit.nsm.uh.edu/. The University of Houston is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Official transcripts are required for a faculty appointment and will be requested upon selection of final candidate. All positions at the University of Houston are security sensitive and will require a criminal history check. How to apply: Apply online Required Attachments by Candidate: Curriculum Vitae, Cover Letter/Letter of Application University of Houston Every year, students come from around the world to pursue graduate and undergraduate programs at the University of Houston. What do they find when they get here? Our students find more than 100 undergraduate majors and minors and nearly 200 graduate degree programs, including some that rank among the nation's best. They find the opportunity to conduct world-class research with award-winning faculty, like Ioannis A. Kakadiaris, who is working toward early detection of heart attack risk. [Click Here to Access the Original Job Post]
The NextGen sequencing core at the University of Houston (UH) seeks an experienced and talented PhD data scientist for a non-tenure track faculty position at the Research Assistant Professor level beginning Fall of 2017. The candidate must have over 5+ years of experience in large genomic datasets with a strong track record of publications in relevant areas. Prior experience in dealing with variant calling/population genomics characterization in large cohort studies, as well as development of novel algorithmic solutions for custom disease specific multi-omics sequencing projects will be desirable. Prior experience in cancer research, RNA fusion detection or single-cell sequencing will be strongly preferred. An ideal candidate will also have broad familiarity with Illumina sequencing chemistry. The candidate must have a strong foundation in algorithm design, optimization and statistical/machine learning methods with a PhD in Physics, Mathematics, Statistics, Bioinformatics, Computer Science or related areas. The candidate should have demonstrable coding abilities in either Python,C, Java , C++, ruby or R . Familiarity with high performance computing platforms and cloud computing technologies like AWS will be a strong plus. The candidate should be a good communicator and has to show initiative and leadership in collaborative projects. The candidate will also participate in grant writing activities and in advising graduate students and sequencing core clients about their bioinformatics requirements. The candidate will be responsible for the entire Bioinfomatics pipeline development for the core as well as lead the Bioinformatics research efforts at the core. Qualifications: Appointment to our faculty requires a Ph.D. in Physics, Statistics, Computer Science, Mathematics, Bioinformatics or related areas, 5+ years of relevant work experience and a strong publication record in this field. Preferred Qualifications: 5+ years of hands-on experience in variant calling and annotation in Big Genomic Datasets. Demonstrable experience in designing complex pipelines on high performance computing systems and cloud computing systems in either Python, C, C++, Java, Ruby. Experience in statistical softwares like R, SAS. Past experience in cancer research. Knowledge of statistical/machine learning algorithms. Experience with scientific visualization
Requeriments :
Skills :
- Cloud Computing
- genomic
- HPC
- Machine Learning
- Programing in C
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in R
- Programming in SAS
- Statistics
Areas :
Additional Info:
Salary: Commensurate with Experience Organization: H0104 Biology The University of Houston sequencing core led by Dr. Preethi Gunaratne, is fully equipped to handle projects in whole genome sequencing, exome sequencing, transcriptome sequencing, microbial sequencing, ChIPseq, microRNAseq, with core competencies in cancer research and noncoding RNA studies. The sequencing center has played an integral part in several large scale cohort studies including the NIH/NCI TCGA (The Cancer Genome Atlas) consortium and has ongoing research collaborations in and around the Texas Medical Center. Further details about the core can be found at http://seqnedit.nsm.uh.edu/. The University of Houston is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Official transcripts are required for a faculty appointment and will be requested upon selection of final candidate. All positions at the University of Houston are security sensitive and will require a criminal history check. How to apply: Apply online Required Attachments by Candidate: Curriculum Vitae, Cover Letter/Letter of Application University of Houston Every year, students come from around the world to pursue graduate and undergraduate programs at the University of Houston. What do they find when they get here? Our students find more than 100 undergraduate majors and minors and nearly 200 graduate degree programs, including some that rank among the nation's best. They find the opportunity to conduct world-class research with award-winning faculty, like Ioannis A. Kakadiaris, who is working toward early detection of heart attack risk. [Click Here to Access the Original Job Post]