Job Description:
We are seeking a talented computational and systems biologist or quantitative scientist to carry out the mission of using and developing cutting-edge quantitative methods to advance discovery in the therapeutic sciences. Pharmaceutical R&D is increasingly dependent on algorithms to integrate and analyze large data sets in areas such as genomics, imaging, epigenomics, proteomics, and clinical phenotypes. In addition to hypothesis-driven interrogation of such data there is a growing need to look at these data in an unbiased way in search of explanatory and predictive patterns. The application of causal and predictive models to ‘omics data will play a critical role in the identification and validation of therapeutic targets. Use of these tools will also enhance our understanding of disease pathology and heterogeneity leading to more tailored treatments and enhanced clinical study designs. The successful candidate for this position is expected to leverage different quantitative methods such as differential equation, network and Bayesian models to make fundamental contributions to understanding disease biology and therapy. The scientist will also be familiar with using and applying model-neutral statistical analysis methods from the area of bioinformatics and machine learning to integrate data and uncover novel signatures of associations between molecular and clinical phenotypes. The scientist will be familiar with computational methods such linear and nonlinear solvers and simulations. The scientist will draw from a strong understanding of physical and information sciences, such as stochastic processes, information theory, and discrete mathematics. Despite having a quantitative background the successful candidate has a history of working closely with experimental scientists. This position will be part of the computational and systems biology group that is part of the research and early development organization active in multiple stages of Biogen’s drug pipeline. The candidate will work in a matrix with computational and systems biologists, and a rich community of neurologists, drug discovery chemists, high throughput screening scientists, biomarker scientists, and clinical development physicians and scientists. Post-graduate experience of 1-3 years working with biological and molecular data is highly desired. A deep understanding of experimental molecular biology and biochemistry, as well as modern high-throughput methods such as high dimensional cell sorting, next generation sequencing, and array technologies is required. Demonstrated ability to work collaboratively within multi-disciplinary teams is essential. Excellent communication and presentation skills are required. Scientist is expected to translate the technical terminology of quantitative sciences into high level language understandable by scientists expert in other disciplines. Track record of creativity, innovation, and delivery of real world value, including relevant peer-reviewed scientific publication, is required. Hands-on experience with the information technology aspects of data collection, organization, and integration, as well as the systems and tools required for data analysis is required. Ph.D. and Bachelors in highly quantitative scientific disciplines and/or technology areas such as computer science, bioinformatics, systems biology, physics, engineering, mathematical biology, computational biology, or chemistry is required. Qualifications
Additional Info:
Location: Cambridge, MA, US
We are seeking a talented computational and systems biologist or quantitative scientist to carry out the mission of using and developing cutting-edge quantitative methods to advance discovery in the therapeutic sciences. Pharmaceutical R&D is increasingly dependent on algorithms to integrate and analyze large data sets in areas such as genomics, imaging, epigenomics, proteomics, and clinical phenotypes. In addition to hypothesis-driven interrogation of such data there is a growing need to look at these data in an unbiased way in search of explanatory and predictive patterns. The application of causal and predictive models to ‘omics data will play a critical role in the identification and validation of therapeutic targets. Use of these tools will also enhance our understanding of disease pathology and heterogeneity leading to more tailored treatments and enhanced clinical study designs. The successful candidate for this position is expected to leverage different quantitative methods such as differential equation, network and Bayesian models to make fundamental contributions to understanding disease biology and therapy. The scientist will also be familiar with using and applying model-neutral statistical analysis methods from the area of bioinformatics and machine learning to integrate data and uncover novel signatures of associations between molecular and clinical phenotypes. The scientist will be familiar with computational methods such linear and nonlinear solvers and simulations. The scientist will draw from a strong understanding of physical and information sciences, such as stochastic processes, information theory, and discrete mathematics. Despite having a quantitative background the successful candidate has a history of working closely with experimental scientists. This position will be part of the computational and systems biology group that is part of the research and early development organization active in multiple stages of Biogen’s drug pipeline. The candidate will work in a matrix with computational and systems biologists, and a rich community of neurologists, drug discovery chemists, high throughput screening scientists, biomarker scientists, and clinical development physicians and scientists. Post-graduate experience of 1-3 years working with biological and molecular data is highly desired. A deep understanding of experimental molecular biology and biochemistry, as well as modern high-throughput methods such as high dimensional cell sorting, next generation sequencing, and array technologies is required. Demonstrated ability to work collaboratively within multi-disciplinary teams is essential. Excellent communication and presentation skills are required. Scientist is expected to translate the technical terminology of quantitative sciences into high level language understandable by scientists expert in other disciplines. Track record of creativity, innovation, and delivery of real world value, including relevant peer-reviewed scientific publication, is required. Hands-on experience with the information technology aspects of data collection, organization, and integration, as well as the systems and tools required for data analysis is required. Ph.D. and Bachelors in highly quantitative scientific disciplines and/or technology areas such as computer science, bioinformatics, systems biology, physics, engineering, mathematical biology, computational biology, or chemistry is required. Qualifications
- Post-graduate experience of 1-3 years working with biological and molecular data is highly desired.
- A deep understanding of experimental molecular biology and biochemistry, as well as modern high-throughput methods such as high dimensional cell sorting, next generation sequencing, and array technologies is required.
- Demonstrated ability to work collaboratively within multi-disciplinary teams is essential.
- Excellent communication and presentation skills are required. Scientist is expected to translate the technical terminology of quantitative sciences into high level language understandable by scientists expert in other disciplines.
- Track record of creativity, innovation, and delivery of real world value, including relevant peer-reviewed scientific publication, is required.
- Hands-on experience with the information technology aspects of data collection, organization, and integration, as well as the systems and tools required for data analysis is required.
Requeriments :
Skills :
- Biochemistry
- Bioinformatics
- Machine Learning
- Mathematics
- molecular biology
- Next Generation Sequencing
- Systems Biology
Areas :
Additional Info:
Location: Cambridge, MA, US