BIOINFORMATICIAN II, DCRI TDS
School of Medicine:
Established in 1930, Duke University School of Medicine is the youngest of the nation’s top medical schools. Ranked tenth among its peers, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where traditional barriers are low, interdisciplinary collaboration is embraced, and great ideas accelerate translation of fundamental scientific discoveries to improve humanhealth locally and around the globe.
Comprised of 2,400 faculty physicians and researchers, the Duke University School of Medicine along with the Duke University School of Nursing and Duke University Health System create Duke Health. Duke Health is a world-class health care network. Founded in 1998 to provide efficient, responsive care, the health system offers a full network of health services and encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Private Diagnostic Clinic, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.
This is a research/grant funded position.
The Clinical Research Informaticist II position is a leadership role on large and/or complex clinical research projects. This includes the development, use and evaluation of standards, models, processes and systems to optimize the design and conduct of clinical and translational research This is often accomplished through modeling workflow, semantic relationships, terminology, business rules and specification of technology requirements utilized in research. The Informaticist II has an understanding of the broader biomedical informatics practices including medical computing, terminology and healthcare processes. Advanced knowledge and routine contribution to the domain of clinical research informatics is expected. The Informaticist II is an active leader working with faculty ensuring the success of clinical and translational research projects. Close collaboration with other disciplines and departments within and across Duke and external organizations is necessary.
The Informaticist II is typically the senior informatics leader on one or more biomedical research projects of moderate complexity and serves in preceptor capacity for other informatics staff
Travel is required.
- Supports and contributes to the administrative processes for the Informatics group and overall department.
- Actively contributes to the project management activities of assigned projects and holds responsibility and accountability for assigned work contributing to the success of the project.
- Assist defining work requirements for new projects and monitor scope of assigned work within an ongoing project. This includes working with internal and external collaborators.
- Analyze and resolve issues that have potential to jeopardize agreed upon deliverables
- Engage and collaborate with stakeholders in the development of artifacts defining the workflow and technical specifications in support of significantly complex and/or novel clinical or translational research projects.
- Contribute to the evaluation of costs, risks, benefits and regulatory requirements of implementation options considered by project teams.
- With assistance, prepare project budgets in conjunction with Business Development and/or CRI Leadership.
- Monitor budget expenditure actuals against original projections. Escalate to CRI Leadership as appropriate.
- Lead the implementation, migration and validation of research data systems.
- Lead industry initiatives, committees and working groups.
- Contribute to lessons learned as routine part of project lifecycle.
- Actively plan, manage, and report on work status; seek efficiencies wherever possible.Always work toward positive and effective relationships with informatics staff and collaborators.
- Provide informatics support on research projects, including: requirements analyses, design, implementation and ongoing support for the research objectives.
- Leverage cross-discipline training and experience to capture project requirements, while facilitating participation by clinical, scientific, operational and information technology stakeholders.
- Consult on and provide direct technical support for research projects of high complexity and often requiring solutions not previously utilized by project team or work group.
- Hold expert knowledge in domain modeling, relational database design, programming language(s), XML, data transfer methods, HL7, DICOM and CDISC standards and/or analytical techniques used in research programs. Maintain an understanding of emerging tools and technologies.
- Develop and maintain a working knowledge of statistical principles and analyses considerations taken into account during planning of clinical and translational research.
- Have domain experience within one or more specialty area (e.g. clinical area or research focus) of clinical or translational research and develop and maintain knowledge of terminologies and coding procedures used in research and the healthcare environment
- Support the transfer of adopted technology, tools or methods into routine organizational activities through training, tools development and process documentation.
- Author artifacts from domain modeling efforts
- Analyze adopt and maintain new technologies/systems supporting data acquisition, integration and reporting activities to be adopted by one or more research programs.
- Work closely with Information Technology (IT) support for network, database, and hardware/software from requirements throughout the Software Development Lifecycle representing the clinical or translational research project requirements.
- Lead validation & user acceptance testing as needed.
- Develop custom ad hoc reports and tools in support of clinical data management requirements.
- Further develop project-specific products or lessons that can be utilized by other projects and organizations.
- Understand requirements presented by different types of data (i.e. clinical data, administrative data, imaging, and newer high-volume data sources).
- Ensure semantics and context of data is maintained during collection, processing and reporting.
- Troubleshoot issues across projects, identifying the underlying root causes and improvements for efficiency.
- Support mapping data structures and values from one dataset into another.
- Perform data analyst functions that generate knowledge via data mining, visualization or other analytics. Serve as a resource to others performing this work. Lead the creation of best practices, resources and tools that enable new analytical capabilities.
- Design and perform formal evaluation of informatics methods and products and report findings that can be generalized to the broader community.
- Educate internal and external partners on the value, role and methodology provided by biomedical informatics. Provide training on biomedical informatics-related concepts, applications and tools.
- Maintain working knowledge of biomedical informatics, including technology, standards, systems and methodologies used in health care and research.
- Develop and conduct training sessions for internal and external staff on a regular basis; present at conferences and/or publish in peer reviewed journals.
- Contribute to department training and development infrastructure including identification of training needs, ensure that training reflects local and industry standards.
- The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.
Work requires a M.S. in Bioinformatics or the biological sciences with demonstrable computational skills or a M.S. in computer science with a strong interest in biology/genomics. PhD preferred.
Work requires at least 2 years of experience in bioinformatics. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Experience with web-based bioinformatics tools, public domain biological databases and software tools for sequence, domain and structural analysis. Extensive familiarity with and development of computational tools in biology that use genomic data to generate biological hypotheses. Experience with a procedural language, proficient in Java, Perl, 'C', web design, informatics, proteomics informatics, statistics, and computer science. Experience with relational databases and SQL helpful.
Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
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