Job ID: 229654753
Job date: 2016-12-08
End Date:
Company : H3 Biomedicine Country : Role : Research Scientist
Job date: 2016-12-08
End Date:
Company : H3 Biomedicine Country : Role : Research Scientist
Job Description:
Computational biology is a fundamentally important core discipline and integral part of H3 Biomedicine. The team plays key role in leveraging internal and external cancer genomics and pharmacogenomics data for developing new breakthrough oncology drugs. The team’s main responsibility is to mine scientific data to form well-articulated hypothesis to impact our drug discovery and development programs from target identification to translational science. The team is also responsible for the development and maintenance of bioinformatics core infrastructure and analytical pipelines. We are seeking a highly motivated individual to lead our computational biology team. This position will work closely with biologist, computational biologists to conceive, develop, and apply analytical approaches to cancer relevant genomics data with an emphasis on delivering actionable hypothesis. Principal Duties and Responsibilities: Represent computational biology team in projects: Lead omics data mining from providing scientific inputs of experimental design, to data analysis, interpretation, and hypothesis generation. Develop computational solutions and mining cancer genomics data for the identification of novel cancer targets. Actively apply cancer genomics in translational research focusing on patient stratification, biomarker identification, disease indication expansion, and drug-drug combination studies. Lead computational biology cross discipline projects to establish foundation platforms and capabilities impacting broad portfolio projects. Examples of such platforms or capabilities can be data analysis pipelines, new analytical capabilities supporting a new scientific areas. Working with Discovery Informatics team to develop genomics data management, integration and exploration solutions to enable data mining and utilization across the company. Produce high quality scientific reports, presentations and papers. Maintain expertise and awareness in state-of-the-art cancer genomics science, computational biology methods, and relevant external genomics data sources. Actively seek, evaluate and champion the adoption of new approaches to expand team’s capabilities. Assume responsibility for reports as needed including recruiting, supervising, mentoring, and personal development. Job qualifications: Ph.D in biology, bioinformatics, computational biology, biomedical engineering, computer science, or related field with 5+ years of working experience in cancer genomics, oncology drug discovery or translational medicine. Must have training or working experience in cancer biology and cancer genomics. Strong ability and high scientific curiosity to understand real world problems thoroughly and propose fit-for-purpose solutions. Demonstrated ability to move –omics study output into well formulated and actionable hypothesis such as new target or biomarkers. Up to date knowledge of cancer genomics initiatives, data sources, and best practices. Good understanding of statistical analysis principles with working knowledge of the statistical data analysis tools and packages. Good understanding of NGS data types and analytical approaches. · Demonstrated leadership in leading scientific projects. · Excellent interpersonal skills with a proven record of working in an inter-disciplinary team effectively. Excellent written and verbal communication skills.
Additional Info:
H3 Biomedicine is a leading company in cancer genomics based drug discovery, delivering on the promise of precision medicine. H3 aims to produce novel cancer therapeutics using a Patient to Patient Strategy aiming to exploit changes in the cancer genome of patients. Our highly integrated multidisciplinary scientific teams apply their expertise in cancer genomics, target validation, assay development, compound production and compound optimization, to advance a selected target through focused proof of concept milestones that ultimately demonstrate cancer dependency to the target in genetically defined cancer patient populations[Click Here to Access the Original Job Post]
Computational biology is a fundamentally important core discipline and integral part of H3 Biomedicine. The team plays key role in leveraging internal and external cancer genomics and pharmacogenomics data for developing new breakthrough oncology drugs. The team’s main responsibility is to mine scientific data to form well-articulated hypothesis to impact our drug discovery and development programs from target identification to translational science. The team is also responsible for the development and maintenance of bioinformatics core infrastructure and analytical pipelines. We are seeking a highly motivated individual to lead our computational biology team. This position will work closely with biologist, computational biologists to conceive, develop, and apply analytical approaches to cancer relevant genomics data with an emphasis on delivering actionable hypothesis. Principal Duties and Responsibilities: Represent computational biology team in projects: Lead omics data mining from providing scientific inputs of experimental design, to data analysis, interpretation, and hypothesis generation. Develop computational solutions and mining cancer genomics data for the identification of novel cancer targets. Actively apply cancer genomics in translational research focusing on patient stratification, biomarker identification, disease indication expansion, and drug-drug combination studies. Lead computational biology cross discipline projects to establish foundation platforms and capabilities impacting broad portfolio projects. Examples of such platforms or capabilities can be data analysis pipelines, new analytical capabilities supporting a new scientific areas. Working with Discovery Informatics team to develop genomics data management, integration and exploration solutions to enable data mining and utilization across the company. Produce high quality scientific reports, presentations and papers. Maintain expertise and awareness in state-of-the-art cancer genomics science, computational biology methods, and relevant external genomics data sources. Actively seek, evaluate and champion the adoption of new approaches to expand team’s capabilities. Assume responsibility for reports as needed including recruiting, supervising, mentoring, and personal development. Job qualifications: Ph.D in biology, bioinformatics, computational biology, biomedical engineering, computer science, or related field with 5+ years of working experience in cancer genomics, oncology drug discovery or translational medicine. Must have training or working experience in cancer biology and cancer genomics. Strong ability and high scientific curiosity to understand real world problems thoroughly and propose fit-for-purpose solutions. Demonstrated ability to move –omics study output into well formulated and actionable hypothesis such as new target or biomarkers. Up to date knowledge of cancer genomics initiatives, data sources, and best practices. Good understanding of statistical analysis principles with working knowledge of the statistical data analysis tools and packages. Good understanding of NGS data types and analytical approaches. · Demonstrated leadership in leading scientific projects. · Excellent interpersonal skills with a proven record of working in an inter-disciplinary team effectively. Excellent written and verbal communication skills.
Requeriments :
Skills :
- Bioinformatics
- Biomarker Discovery
- Cancer biology
- Computational Biology
- Database design
- genomic
- Next Generation Sequencing
- Statistics
Areas :
Additional Info:
H3 Biomedicine is a leading company in cancer genomics based drug discovery, delivering on the promise of precision medicine. H3 aims to produce novel cancer therapeutics using a Patient to Patient Strategy aiming to exploit changes in the cancer genome of patients. Our highly integrated multidisciplinary scientific teams apply their expertise in cancer genomics, target validation, assay development, compound production and compound optimization, to advance a selected target through focused proof of concept milestones that ultimately demonstrate cancer dependency to the target in genetically defined cancer patient populations[Click Here to Access the Original Job Post]