Job ID: 572084348
Job date: 2018-04-30
End Date: 2018-06-29
Company : NuMedii, Inc. Country : United States Role : Director
Job date: 2018-04-30
End Date: 2018-06-29
Company : NuMedii, Inc. Country : United States Role : Director
Job Description:
We seek a director of computational biology to join our team to continue to expand our foundational technology for drug discovery. This is an exciting opportunity to become an early employee of a unique company led by world-renowned expertise in computational science and translational medicine. You will lead the computational analysis of NuMedii projects bringing together the diverse set of expertise among NuMedii’s team members, implementing bleeding edge computational advances to support our core mission. You should be someone who is comfortable driving rapid, agile computational development in a high intensity and rapidly evolving startup environment. You must know how to coalesce and enthuse a team around the successful completion of project milestones gaining the maximum performance of the team. You must be creative, self-driven and an excellent communicator; fundamentally, you must be passionate about the potential to utilize big data to improve the process of drug discovery and development. Key responsibilities include, but are not limited to: ·Leading teams to complete computational analysis for the identification of new drug-indication hypothesis ·Propose, evaluate the suitability of, and lead development of new bioinformatics algorithms and methods to enhance NuMediis’s existing pipeline for drug-indication hypothesis. Incorporate new data types and evaluate their impact on the effective of the pipeline. ·Develop algorithms and analyze data as required to advance NuMedii’s science. ·Work closely with other members of the team to architect, implement and maintain a computational infrastructure that efficiently executes complex queries across these datasets. ·Work closely with biological, translational and clinical scientists to design studies for experimental validation of in silico-derived predictions and assist with the analysis and interpretation of study results. ·Present the work and results to partners, and at conferences and workshops, and in the writing of grant proposals. The ideal candidate will have broad expertise in bioinformatics and/or computational biology. Specific requirements include: ·Experience leading scientific teams and demonstrated experience in unleashing maximum performance and creativity of team members .Comfortable fostering an open and collaborative work environment ·Must be confident with hands-on data analysis and development of tools to address encountered issues. ·In-depth familiarity with computational and statistical methodologies for analysis of microarray, next generation sequencing, proteomic and metabolomics data is required. oExperience with the application of machine learning is highly desirable. oSpecific expertise with the data and methodologies associated with the Library of Integrated Network-Based Cellular Signatures project is highly desirable. oExpertise in network biology, systems biology and systems pharmacology is highly desirable. oExperience in the identification of gene signatures for disease causation and integration of these with response signatures of disease modifying drugs is beneficial. ·Expertise in advanced computational biology methods such as systems biology and network analysis, machine learning and data mining tools. ·Proficiency in one or more programming languages e.g. C/C++, Java, Python, Perl in a Linux/UNIX environment. Proficiency in R for statistical analysis is also required. ·Familiarity with database management systems ·A working understanding of drug discovery and chemo-informatics technologies, drug knowledge databases, gene expression analysis, proteomics and analysis of human genetic variation is beneficial. ·Experience developing software in an enterprise environment including using source control tools and tracking activity using project management software. ·Must be authorized to work in the United States A PhD in Bioinformatics, Biomedical Informatics, Computational Biology, or Computer Science with experience in Bioinformatics is essential. At least 5 years in the biotech or pharmaceutical industry are preferred. Excellent verbal and written skills in English are essential.
Additional Info:
NuMedii, Inc. is a venture-backed biomedical startup located in the San Francisco bay area that is translating life-sciences big data into effective new medicines for patients by combining big data, machine learning and systems biology.[Click Here to Access the Original Job Post]
We seek a director of computational biology to join our team to continue to expand our foundational technology for drug discovery. This is an exciting opportunity to become an early employee of a unique company led by world-renowned expertise in computational science and translational medicine. You will lead the computational analysis of NuMedii projects bringing together the diverse set of expertise among NuMedii’s team members, implementing bleeding edge computational advances to support our core mission. You should be someone who is comfortable driving rapid, agile computational development in a high intensity and rapidly evolving startup environment. You must know how to coalesce and enthuse a team around the successful completion of project milestones gaining the maximum performance of the team. You must be creative, self-driven and an excellent communicator; fundamentally, you must be passionate about the potential to utilize big data to improve the process of drug discovery and development. Key responsibilities include, but are not limited to: ·Leading teams to complete computational analysis for the identification of new drug-indication hypothesis ·Propose, evaluate the suitability of, and lead development of new bioinformatics algorithms and methods to enhance NuMediis’s existing pipeline for drug-indication hypothesis. Incorporate new data types and evaluate their impact on the effective of the pipeline. ·Develop algorithms and analyze data as required to advance NuMedii’s science. ·Work closely with other members of the team to architect, implement and maintain a computational infrastructure that efficiently executes complex queries across these datasets. ·Work closely with biological, translational and clinical scientists to design studies for experimental validation of in silico-derived predictions and assist with the analysis and interpretation of study results. ·Present the work and results to partners, and at conferences and workshops, and in the writing of grant proposals. The ideal candidate will have broad expertise in bioinformatics and/or computational biology. Specific requirements include: ·Experience leading scientific teams and demonstrated experience in unleashing maximum performance and creativity of team members .Comfortable fostering an open and collaborative work environment ·Must be confident with hands-on data analysis and development of tools to address encountered issues. ·In-depth familiarity with computational and statistical methodologies for analysis of microarray, next generation sequencing, proteomic and metabolomics data is required. oExperience with the application of machine learning is highly desirable. oSpecific expertise with the data and methodologies associated with the Library of Integrated Network-Based Cellular Signatures project is highly desirable. oExpertise in network biology, systems biology and systems pharmacology is highly desirable. oExperience in the identification of gene signatures for disease causation and integration of these with response signatures of disease modifying drugs is beneficial. ·Expertise in advanced computational biology methods such as systems biology and network analysis, machine learning and data mining tools. ·Proficiency in one or more programming languages e.g. C/C++, Java, Python, Perl in a Linux/UNIX environment. Proficiency in R for statistical analysis is also required. ·Familiarity with database management systems ·A working understanding of drug discovery and chemo-informatics technologies, drug knowledge databases, gene expression analysis, proteomics and analysis of human genetic variation is beneficial. ·Experience developing software in an enterprise environment including using source control tools and tracking activity using project management software. ·Must be authorized to work in the United States A PhD in Bioinformatics, Biomedical Informatics, Computational Biology, or Computer Science with experience in Bioinformatics is essential. At least 5 years in the biotech or pharmaceutical industry are preferred. Excellent verbal and written skills in English are essential.
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Data Mining
- Human Genetics
- Lunix/Unix
- Machine Learning
- Microarray
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- Software Design
- Statistics
- Systems Biology
Areas :
Additional Info:
NuMedii, Inc. is a venture-backed biomedical startup located in the San Francisco bay area that is translating life-sciences big data into effective new medicines for patients by combining big data, machine learning and systems biology.[Click Here to Access the Original Job Post]