Job ID: 344038421
Job date: 2017-05-17
End Date:
Company : MIT Media Lab Country : Role : Research Scientist
Job date: 2017-05-17
End Date:
Company : MIT Media Lab Country : Role : Research Scientist
Job Description:
MIT Media Lab requires a research specialist to lead and develop various bioinformatics and Deep Neural Networks (DNN’s)-based emergent architectures for classifying biomedical datasets resulting from clinical trials, animal models and cell culture experiments. This position will work closely with Dr. Pratik Shah, pharmaceutical companies and research staff in the Camera Culture Group. The group conducts multidisciplinary research in modern optics, sensors, illumination, actuators, probes, deep learning and software processing. The research objective for this position is to create cutting-edge algorithms for development of next-generation automated clinical software platforms using computer vision, bioinformatics and deep learning. This is a temporary, one-year position with the possibility of extension based upon funding and research priorities. Principal Duties and Responsibilities (Essential Functions): -Projects involve structuring clinical notes, genetic sequencing, RNA expression, protein and metabolomics datasets using bioinformatics tools to develop machine learning and DNN classifiers to discover novel cross correlations between drug candidates and patient outcomes linked to clinical trial results. Additional publically available and past datasets may also need to be included in the classifiers to improve performance. The ideal candidate should have experience and expertise in utilizing existing bioinformatics techniques to process multimodal clinical datasets. Experience in using machine-learning classifiers and DNN’s is a plus and willingness to learn advanced deep learning approaches is expected. -The research specialist will also participate in diverse group activities as required and indicated by the supervisor. Such activities include group meetings, support to other group members, PhD students and undergraduate researchers. -Other duties as needed or required. Qualifications & Skills: -BS or MS degree in statistics, computer science, bioinformatics, computational biology or equivalent combination of education and experience. -At least three years of experience within the bioinformatics and data science field. -Expertise in predictive analytics/statistical modeling/data mining algorithms. -Excellent data analysis skills, including development of novel/custom algorithms for interpretation of next-generation sequencing and gene, protein and metabolic expression data. -High knowledge of public biological databases, tools, and repositories. -Experience in machine learning methodologies such as regression/classification, unsupervised/supervised/semi-supervised learning, ensemble methods, and deep learning. -Professional experience writing software in Python, Java, or C++, preferably within a team environment (revision control, issue tracking, code-review) -Strong knowledge of Linux and high performance computing environments. Desired Skills: -Demonstrated knowledge with cloud-infrastructures and configuration management tools (e.g. AWS, Ansible) -Experience in pathway analysis and network medicine of human and bacterial genomes. -Experience publishing articles in peer-reviewed publications. -Expertise in preparing data for use with machine learning methods and neural networks, including database design and data management.
Additional Info:
Interested applicants should submit a resume and cover letter referencing job no. 14707 at http://careers.mit.edu; keyword is Media Laboratory. The Massachusetts Institute of Technology (MIT) is a private research university located in Cambridge, Massachusetts. MIT is devoted to the advancement of knowledge and education of students in areas that contribute to or prosper in an environment of science and technology. [Click Here to Access the Original Job Post]
MIT Media Lab requires a research specialist to lead and develop various bioinformatics and Deep Neural Networks (DNN’s)-based emergent architectures for classifying biomedical datasets resulting from clinical trials, animal models and cell culture experiments. This position will work closely with Dr. Pratik Shah, pharmaceutical companies and research staff in the Camera Culture Group. The group conducts multidisciplinary research in modern optics, sensors, illumination, actuators, probes, deep learning and software processing. The research objective for this position is to create cutting-edge algorithms for development of next-generation automated clinical software platforms using computer vision, bioinformatics and deep learning. This is a temporary, one-year position with the possibility of extension based upon funding and research priorities. Principal Duties and Responsibilities (Essential Functions): -Projects involve structuring clinical notes, genetic sequencing, RNA expression, protein and metabolomics datasets using bioinformatics tools to develop machine learning and DNN classifiers to discover novel cross correlations between drug candidates and patient outcomes linked to clinical trial results. Additional publically available and past datasets may also need to be included in the classifiers to improve performance. The ideal candidate should have experience and expertise in utilizing existing bioinformatics techniques to process multimodal clinical datasets. Experience in using machine-learning classifiers and DNN’s is a plus and willingness to learn advanced deep learning approaches is expected. -The research specialist will also participate in diverse group activities as required and indicated by the supervisor. Such activities include group meetings, support to other group members, PhD students and undergraduate researchers. -Other duties as needed or required. Qualifications & Skills: -BS or MS degree in statistics, computer science, bioinformatics, computational biology or equivalent combination of education and experience. -At least three years of experience within the bioinformatics and data science field. -Expertise in predictive analytics/statistical modeling/data mining algorithms. -Excellent data analysis skills, including development of novel/custom algorithms for interpretation of next-generation sequencing and gene, protein and metabolic expression data. -High knowledge of public biological databases, tools, and repositories. -Experience in machine learning methodologies such as regression/classification, unsupervised/supervised/semi-supervised learning, ensemble methods, and deep learning. -Professional experience writing software in Python, Java, or C++, preferably within a team environment (revision control, issue tracking, code-review) -Strong knowledge of Linux and high performance computing environments. Desired Skills: -Demonstrated knowledge with cloud-infrastructures and configuration management tools (e.g. AWS, Ansible) -Experience in pathway analysis and network medicine of human and bacterial genomes. -Experience publishing articles in peer-reviewed publications. -Expertise in preparing data for use with machine learning methods and neural networks, including database design and data management.
Requeriments :
Skills :
- Data Mining
- Database design
- HPC
- Lunix/Unix
- Machine Learning
- Modeling
- Programing in C++
- Programing in Python
- Programming in Java
Areas :
Additional Info:
Interested applicants should submit a resume and cover letter referencing job no. 14707 at http://careers.mit.edu; keyword is Media Laboratory. The Massachusetts Institute of Technology (MIT) is a private research university located in Cambridge, Massachusetts. MIT is devoted to the advancement of knowledge and education of students in areas that contribute to or prosper in an environment of science and technology. [Click Here to Access the Original Job Post]