Job ID: 176474795
Job date: 2017-04-26
End Date:
Company : Massachusetts Institute of Technology Country : Role : Research Scientist
Job date: 2017-04-26
End Date:
Company : Massachusetts Institute of Technology Country : Role : Research Scientist
Job Description:
RESEARCH SPECIALIST, CAMERA CULTURE, Media Laboratory, to lead and develop various bioinformatics and deep neural network (DNN)-based emergent architectures for classifying biomedical datasets resulting from clinical trials, animal models, and cell culture experiments. Will work 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 is to create cutting-edge algorithms for development of next-generation automated clinical software platforms using computer vision, bioinformatics, and deep learning. Job Requirements: REQUIRED: B.S. or M.S. in statistics, computer science, bioinformatics, or computational biology; at least three years' experience within the bioinformatics and data science field; expertise in predictive analytics/statistical modeling/data mining algorithms and utilizing existing bioinformatics techniques to process multimodal clinical datasets; excellent data analysis skills, including development of novel/custom algorithms for interpretation of next-generation sequencing and gene, protein, and metabolic expression data; high-level knowledge of public biological databases, tools, and repositories; experience with 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 in a team-oriented environment (revision control, issue tracking, code-review); and solid knowledge of Linux and high performance computing environments. Experience with and knowledge of cloud-infrastructures and configuration management tools (e.g., AWS, Ansible); pathway analysis and network medicine of human and bacterial genomes; and preparing data for use with machine learning methods and neural networks, including database design and data management desired. Experience publishing articles in peer-reviewed publications also desired. Experience using machine-learning classifiers and DNNs a plus. Job #14707
Additional Info:
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, veteran status, or disability.[Click Here to Access the Original Job Post]
RESEARCH SPECIALIST, CAMERA CULTURE, Media Laboratory, to lead and develop various bioinformatics and deep neural network (DNN)-based emergent architectures for classifying biomedical datasets resulting from clinical trials, animal models, and cell culture experiments. Will work 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 is to create cutting-edge algorithms for development of next-generation automated clinical software platforms using computer vision, bioinformatics, and deep learning. Job Requirements: REQUIRED: B.S. or M.S. in statistics, computer science, bioinformatics, or computational biology; at least three years' experience within the bioinformatics and data science field; expertise in predictive analytics/statistical modeling/data mining algorithms and utilizing existing bioinformatics techniques to process multimodal clinical datasets; excellent data analysis skills, including development of novel/custom algorithms for interpretation of next-generation sequencing and gene, protein, and metabolic expression data; high-level knowledge of public biological databases, tools, and repositories; experience with 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 in a team-oriented environment (revision control, issue tracking, code-review); and solid knowledge of Linux and high performance computing environments. Experience with and knowledge of cloud-infrastructures and configuration management tools (e.g., AWS, Ansible); pathway analysis and network medicine of human and bacterial genomes; and preparing data for use with machine learning methods and neural networks, including database design and data management desired. Experience publishing articles in peer-reviewed publications also desired. Experience using machine-learning classifiers and DNNs a plus. Job #14707
Requeriments :
Skills :
- Bioinformatics
- Data Mining
- Database design
- HPC
- Lunix/Unix
- Machine Learning
- Modeling
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programming in Java
- Statistics
Areas :
Additional Info:
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, veteran status, or disability.[Click Here to Access the Original Job Post]