Research Data Manager
Employer: Black Dog Institute
Work Type/s: Full Time
Classification/s: I.T. & Communication Technology, Health Promotion, Mental Health & Counselling, Policy & Research
Sector/s: Not For Profit (NFP)
Job posted on: 09 January, 2017.
Applications close: 22 January, 2017. (Expired)
About the organisation:
Founded in 2002, The Black Dog Institute is internationally recognised as a pioneer in the identification, prevention, early intervention and treatment of mental illnesses such as depression and bipolar disorder. The Institute is a leader in suicide prevention and eHealth, the use of technology in delivering mental health treatments, tools and interventions.
Our mission is to enable mentally healthier lives through innovations in science, medicine, education, public policy and knowledge translation. Our work is unique in that it combines high quality translational research, clinical expertise and education programs. Research discoveries are translated into evidence-based clinical practices and education programs, focussing on wellbeing and prevention, early intervention, treatment and recovery.
About the role:
The Research Data Manager for Lifespan will be responsible for managing a system to enable the collection, analysis and reporting of data to determine outcomes for the LifeSpan project. The role will be responsible for ensuring multiple datasets can be sourced, accessed, manipulated and provided to researchers and lead agencies in sites in a timely, efficient and secure manner.
Key duties and responsibilities include:
- Develop the data strategy and the end to end data agenda for this program, allowing exposure to a range of new technologies, formats, operating models and decisioning platforms.
- Undertake data management and analysis, including data security, data governance and the development of protocols and procedures.
- Manage the collection and analysis of data from a wide range of data providers including setting up systems and procedures for quality assurance (quality control, data checking and cleaning large datasets), as well as data manipulation and extraction.
- Manage LifeSpan's information system to enable researchers to generate insights and recommendations related to suicide prevention.
- Development and enhancement of database systems, including building and maintaining data capture, entry and storage systems.
- Ensure that database development and ongoing management will integrate with online data collection solutions.
- Development of relevant protocols and data dictionaries to support data management and access.
- Management and receipt of data from various external and internal collaborators and custodians, ensure that storage is logical, simple to use, and meets all security and privacy legislation and requirements.
- Internal and external liaison, consultation and knowledge exchange with stakeholders.
- Coordinate with data custodians, project sites and data managers.
- Provide any other support required for technology projects related to LifeSpan.
To be successful in this role you should have:
- Tertiary qualifications in information technology, health information management or a relevant scientific discipline or equivalent relevant experience.
- Demonstrated experience in establishing and managing database systems for large research projects
- Proven experience in quality control, data checking and cleaning of large-scale datasets, including data manipulation and extraction
- Demonstrated ability to manage a variety of internal and external stakeholders, using excellent consultation and negotiation skills to produce positive project outcomes.
- Demonstrated ability to manage large projects to time and on budget.
- Proven eExperience in health research is essential, with experience in mental health and suicide prevention fields highly desirable
- Proven ability to work flexibly and adapt as necessary to the demands of multiple projects.
- Excellent interpersonal, oral and written communication skills, with a high level of attention to detail.
- High level computer literacy, including but not limited to MS Office suite.
- Proven experience with data linkage, SAS for data management/analysis and previous experience in an non for profit sector would be well regarded.
- Proven ability to work independently and contribute effectively as a team member.
- A knowledge of EEO principles and OH&S responsibilities and commitment to attending relevant OH&S training.