Job Description:
Description
Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for a Scientist, Data Sciences located in Raritan, NJ, Spring House, PA or Titusville, NJ.
Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.janssenrnd.com/ for more information.
The Data Sciences department within Janssen Research & Development IT is looking for an outstanding Scientist interested in designing, developing, and fielding data mining solutions that have direct impact to patients. Our IT department spans across the entire value chain at Janssen Pharmaceuticals from discovery to post-launch. This will enable the scientist to work with various business units to help identify viable data mining opportunities and then conceive, develop and implement end-to-end data analytical solutions. There are many ways to explore, analyze and integrate data, and this drives the excitement and passion of data scientists at Janssen as many business units are eager to leverage the data to create business value. The Scientist will be someone who stays on the cutting edge of data mining research, engaging in novel research to influence decisions at various levels across the organization.
Real world evidence (RWE), the analysis of electronic medical records, hospital and insurance data, will be a major focus for Janssen in the coming years. The Scientist will apply and leverage technology-driven analytics (e.g., NLP, artificial intelligence/machine learning, semantics) in advancing RWE projects at Janssen. Experience with real world data in that context is a plus. Generally, the role requires an excellent statistical background coupled with broad knowledge of existing data mining algorithms, and also the creativity to invent and customize when necessary.
The ideal candidate will be part of a dynamic, accomplished data sciences team that will support multiple therapeutic areas in the discovery, development and commercialization of innovative medicines. The Scientist will partner with colleagues to develop, implement, and apply state-of-the art scientific algorithms and methods for project teams. Will invent and implement creative solutions that go beyond current tools to deliver best solutions to the problems. Will participate in project teams, elicit needs, and act in a primary role as a trusted primary business and scientific partner. Will conceive of and develop end-to-end data mining solutions to support Janssen’s business units and initiatives.
Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
Qualifications
M.D. or Ph.D degree in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline is required. A minimum of 5 years of industry experience and/or PostDoc is preferred. Strong understanding of drug discovery and development processes is preferred. Familiarity with large datasets, handling of biomedical datasets and understanding of data analysis workflows is required. Experience in the handling and analysis of real world evidence data is preferred. Strong working knowledge of data mining algorithms including machine learning techniques such as decision trees, probability networks, association rules, clustering, regression, neural networks, Bayesian models is required. Proficient with one or more programming language such as .net, Java, Perl, Python, C++ is required. Experience with informatics, analysis and visualization software/tools such as R/Bioconductor, Knime, Pipeline Pilot, Spotfire, GenePattern, MatLab, SAS or other analytical tools is required.
BE VITAL in your career, Be seen for the talent you bring to your work. Explore opportunities within the Johnson & Johnson Family of Companies.
J2W: LI NA
Primary Location: North America-United States-Pennsylvania-Spring House
Other Locations: North America-United States-New Jersey-Titusville, North America-United States-New Jersey-Raritan
Organization: Janssen Research & Development, LLC. (6084)
Job Function: Informatics
Certain sites within the Johnson & Johnson Family of Companies participate in E-Verify as appropriate in accordance with Company guidelines and federal or state law. To learn more about the government sponsored program and to see a list of the sites that are currently enrolled, please click here.
Johnson and Johnson Family of Companies are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
EEO is the Law
EEO is the Law GINA Supplement
Additional Info:
[Click Here to Access the Original Job Post]
Description
Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting for a Scientist, Data Sciences located in Raritan, NJ, Spring House, PA or Titusville, NJ.
Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.janssenrnd.com/ for more information.
The Data Sciences department within Janssen Research & Development IT is looking for an outstanding Scientist interested in designing, developing, and fielding data mining solutions that have direct impact to patients. Our IT department spans across the entire value chain at Janssen Pharmaceuticals from discovery to post-launch. This will enable the scientist to work with various business units to help identify viable data mining opportunities and then conceive, develop and implement end-to-end data analytical solutions. There are many ways to explore, analyze and integrate data, and this drives the excitement and passion of data scientists at Janssen as many business units are eager to leverage the data to create business value. The Scientist will be someone who stays on the cutting edge of data mining research, engaging in novel research to influence decisions at various levels across the organization.
Real world evidence (RWE), the analysis of electronic medical records, hospital and insurance data, will be a major focus for Janssen in the coming years. The Scientist will apply and leverage technology-driven analytics (e.g., NLP, artificial intelligence/machine learning, semantics) in advancing RWE projects at Janssen. Experience with real world data in that context is a plus. Generally, the role requires an excellent statistical background coupled with broad knowledge of existing data mining algorithms, and also the creativity to invent and customize when necessary.
The ideal candidate will be part of a dynamic, accomplished data sciences team that will support multiple therapeutic areas in the discovery, development and commercialization of innovative medicines. The Scientist will partner with colleagues to develop, implement, and apply state-of-the art scientific algorithms and methods for project teams. Will invent and implement creative solutions that go beyond current tools to deliver best solutions to the problems. Will participate in project teams, elicit needs, and act in a primary role as a trusted primary business and scientific partner. Will conceive of and develop end-to-end data mining solutions to support Janssen’s business units and initiatives.
Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
Qualifications
M.D. or Ph.D degree in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related discipline is required. A minimum of 5 years of industry experience and/or PostDoc is preferred. Strong understanding of drug discovery and development processes is preferred. Familiarity with large datasets, handling of biomedical datasets and understanding of data analysis workflows is required. Experience in the handling and analysis of real world evidence data is preferred. Strong working knowledge of data mining algorithms including machine learning techniques such as decision trees, probability networks, association rules, clustering, regression, neural networks, Bayesian models is required. Proficient with one or more programming language such as .net, Java, Perl, Python, C++ is required. Experience with informatics, analysis and visualization software/tools such as R/Bioconductor, Knime, Pipeline Pilot, Spotfire, GenePattern, MatLab, SAS or other analytical tools is required.
BE VITAL in your career, Be seen for the talent you bring to your work. Explore opportunities within the Johnson & Johnson Family of Companies.
J2W: LI NA
Primary Location: North America-United States-Pennsylvania-Spring House
Other Locations: North America-United States-New Jersey-Titusville, North America-United States-New Jersey-Raritan
Organization: Janssen Research & Development, LLC. (6084)
Job Function: Informatics
Certain sites within the Johnson & Johnson Family of Companies participate in E-Verify as appropriate in accordance with Company guidelines and federal or state law. To learn more about the government sponsored program and to see a list of the sites that are currently enrolled, please click here.
Johnson and Johnson Family of Companies are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
EEO is the Law
EEO is the Law GINA Supplement
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]