Job ID:
Job date: 2018-04-20
End Date: 2018-06-19
Company : University of Pittsburgh Country : United States Role : Programmer
Job date: 2018-04-20
End Date: 2018-06-19
Company : University of Pittsburgh Country : United States Role : Programmer
Job Description:
The Department of Biomedical Informatics ( DBMI ) is seeking a qualified candidate for the Data Scientist and Programmer position. This position will be a member of a technical team supporting analytical software application development. The successful applicant must be proficient with R, Python, SQL , and Unix/Linux and have used software repositories such as Git and demonstrate proficiency in data science (machine learning) by means of detailed discussion of implemented analyses and must possess expert knowledge of research methodology, and statistics in particular, in order to work with a high level of autonomy. The ability to design and implement analytic software is required. Experience with best practices in modern software development, including agile development practices, source-code control systems, testing and test-driven development, code reuse and API design, and documentation is highly-desirable. As a member of a team conducting novel biomedical research, a successful applicant will need to look beyond the code, building a deep understanding of the problem domain and resulting implications for software design. Detailed work with end users and other stakeholders will be required, often with the implicit requirement of learning the details of a new and unfamiliar field. At DBMI state-of-the-art software tools and systems to support cutting-edge biomedical research are being created and used daily. DBMI is currently working on projects involving big data including large-scale electronic health record data, genomic data, information integration for personalized medicine, creating distributed research data networks, and related topics united under the common theme of translational informatics: using information systems to move basic scientific insights into meaningful medical care. In addition, DBMI is the home to a large graduate training program in biomedical informatics. Candidates for this position will ideally bring a combination of data science knowledge and technical expertise; curiosity and willingness to learn about new domains; and a willingness to work flexibly with inter-disciplinary teams. Education Required : Baccalaureate Minimum Related Experience Level Required: 3-5 years experience Additional Education and/or Experience Essential to the Position: Master’s Degree preferred in Computer Science, Information Science, or other highly data-driven field such as Bioinformatics, Economics, or Statistics. Technical qualifications: modeling, hypothesis testing and Bayesian statistical methods, machine learning, website development, programming languages including at least Python, R, and SQL . Experience on Unix or Linux. Familiarity with academic environment.
Additional Info:
Required Licenses/Certifications : none Child Protection Clearances The following PA Act 153 clearances and background checks may be required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance. Background Check For position finalists, employment with the University will require successful completion of a background check. Assignment Category : Regular, Full-Time Percent Effort :100 Scheduled Work Hours :8:00 a.m. - 4:30 p.m. If Varied Work Schedule, Please Specify If Part Time, Actual Standard Weekly Hours Campus : Pittsburgh University Benefits The University offers an excellent comprehensive benefits package for all full-time and part-time regular employees including:
The Department of Biomedical Informatics ( DBMI ) is seeking a qualified candidate for the Data Scientist and Programmer position. This position will be a member of a technical team supporting analytical software application development. The successful applicant must be proficient with R, Python, SQL , and Unix/Linux and have used software repositories such as Git and demonstrate proficiency in data science (machine learning) by means of detailed discussion of implemented analyses and must possess expert knowledge of research methodology, and statistics in particular, in order to work with a high level of autonomy. The ability to design and implement analytic software is required. Experience with best practices in modern software development, including agile development practices, source-code control systems, testing and test-driven development, code reuse and API design, and documentation is highly-desirable. As a member of a team conducting novel biomedical research, a successful applicant will need to look beyond the code, building a deep understanding of the problem domain and resulting implications for software design. Detailed work with end users and other stakeholders will be required, often with the implicit requirement of learning the details of a new and unfamiliar field. At DBMI state-of-the-art software tools and systems to support cutting-edge biomedical research are being created and used daily. DBMI is currently working on projects involving big data including large-scale electronic health record data, genomic data, information integration for personalized medicine, creating distributed research data networks, and related topics united under the common theme of translational informatics: using information systems to move basic scientific insights into meaningful medical care. In addition, DBMI is the home to a large graduate training program in biomedical informatics. Candidates for this position will ideally bring a combination of data science knowledge and technical expertise; curiosity and willingness to learn about new domains; and a willingness to work flexibly with inter-disciplinary teams. Education Required : Baccalaureate Minimum Related Experience Level Required: 3-5 years experience Additional Education and/or Experience Essential to the Position: Master’s Degree preferred in Computer Science, Information Science, or other highly data-driven field such as Bioinformatics, Economics, or Statistics. Technical qualifications: modeling, hypothesis testing and Bayesian statistical methods, machine learning, website development, programming languages including at least Python, R, and SQL . Experience on Unix or Linux. Familiarity with academic environment.
Requeriments :
Skills :
- Lunix/Unix
- Machine Learning
- Modeling
- Programing in Python
- Programing Skills
- Programming in R
- Software Design
- SQL
- Statistics
Areas :
Additional Info:
Required Licenses/Certifications : none Child Protection Clearances The following PA Act 153 clearances and background checks may be required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance. Background Check For position finalists, employment with the University will require successful completion of a background check. Assignment Category : Regular, Full-Time Percent Effort :100 Scheduled Work Hours :8:00 a.m. - 4:30 p.m. If Varied Work Schedule, Please Specify If Part Time, Actual Standard Weekly Hours Campus : Pittsburgh University Benefits The University offers an excellent comprehensive benefits package for all full-time and part-time regular employees including:
- Education benefits and a retirement plan with employer match
- Group medical insurance, life insurance, and optional vision and dental insurance
- Free transit service within Allegheny County for employees of the Oakland campus (Port Authority Transit)
- Time off benefits including vacation, sick and personal time