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Data Scientist Faculty
Washington, DC
Job Description
Description The Faculty Data Scientist will be an assistant or associate professor level position depending on current rank and experience. The Data Scientis will collaborate with clinical and biomedical researchers to identify data science research questions in clinical and translational research, as well as contribute to manuscript writing for results publication. The Data Scientist will have extensive training and experience in each of the above research steps and will serve as the subject matter expert in the development of high-quality code implementing models, algorithms, APIs and visualization.
The Faculty Data Scientist will have a broad understanding of biomedicine and have excellent communications skills to be able to understand and communicate effectively with investigators. Finally, s/he must have a good organizational and time management skills to be able to manage simultaneous and competing demands from a number of supported projects.
The Faculty Data Scientist will have a broad understanding of biomedicine and have excellent communications skills to be able to understand and communicate effectively with investigators. Finally, s/he must have a good organizational and time management skills to be able to manage simultaneous and competing demands from a number of supported projects.
Qualifications Minimum Education
Doctor of Philosophy (Ph.D.) Doctoral degree level training in Computer Science, Mathematics, Statistics, Data Science, or a related field (Required)
Minimum Work Experience
3 years In each of these areas: Data Engineering, Knowledge Engineering, Data analysis, and Scientific Publication. (Required)
3 years Very Large database design and analysis experience. Big Data platform and Machine Learning development, Grant Development (Preferred)
Functional Accountabilities
Conduct of Research
Organizational Accountabilities
Organizational Accountabilities (Staff)
Organizational Commitment/Identification
Teamwork/Communication
Performance Improvement/Problem-solving
Cost Management/Financial Responsibility
Safety
Doctor of Philosophy (Ph.D.) Doctoral degree level training in Computer Science, Mathematics, Statistics, Data Science, or a related field (Required)
Minimum Work Experience
3 years In each of these areas: Data Engineering, Knowledge Engineering, Data analysis, and Scientific Publication. (Required)
3 years Very Large database design and analysis experience. Big Data platform and Machine Learning development, Grant Development (Preferred)
Functional Accountabilities
Conduct of Research
- Consistently demonstrate adherence with the standards for the responsible conduct of research.
- Maintain confidentiality of data as required.
- Plan, conduct, and manage research and/or research intervention projects within the federal and institutional regulations and policies in collaboration with a principal investigator.
- Responsible for appropriate use of research funds and resources.
- Provide data engineering support from front-end phases of the data life cycle
- Improve integrated information retrieval environment with building large scale data-intensive system framework and seamless federation of heterogeneous data sources
- Support infrastructure design, data management and supporting architectures, dynamic resource allocation and scheduling, design of hybrid cloud architectures, mobile cloud computing, and collaborative methods for cloud federations, big data and AI platforms
- Provide knowledge engineering service for human-machine interaction to understand and interpret data and analytical results, data representation and curation, visualization of data and data products, and communication of key findings for human decision making and policy formation
- Big data and cloud computing, including AWS, Azure, GCP, other related, as well as Hadoop, Spark, MapReduce, etc.
- Application development with Linux containers and container orchestration systems. (e.g., Docker, Kubernetes)
- Working with RESTful APIs and deploying and maintaining web services
- Database architect with relational databases (e.g. Postgres, MySQL, MSSQL, Oracle) and other modern types of databases: graph, key-value, and document data stores (e.g. Neo4j, HDFS, MongoDB)
- Writing code in applied academic or professional projects using one or more of the following languages: R, Python, Scala, Java is required.
- Participate in peer reviews for journals and review sections.
- Participate in Data and Safety Monitoring Boards or other oversight committees as the data scientist member.
- Be a member of professional associations and when appropriate, contribute expertise and effort to associations.
- Mentor graduate/post-doctoral students.
- Participate in educational programs and teaching assignments.
Organizational Accountabilities
Organizational Accountabilities (Staff)
Organizational Commitment/Identification
Teamwork/Communication
Performance Improvement/Problem-solving
Cost Management/Financial Responsibility
Safety
Primary Location: District of Columbia-Washington
Work Locations:
CN Hospital (Main Campus)
111 Michigan Avenue NW
Washington 20010
Job: Research Faculty / Postdoc
Organization: Ctr Neuroscience & Behav Med
Position Status: R (Regular) - FT - Full-Time
Job Posting: Jun 19, 2023, 6:24:04 PM
Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individual with Disabilities.
Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Doctorate
Required Experience
3+ years
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