Australasian Kidney Trials Network (AKTN) within Centre for Health Services Research
Join the dynamic team at AKTN in a role that offers a unique blend of design, programming, and maintenance of data capturing systems for clinical trials.
We are seeking an experienced Clinical Data Manager with proficiency in electronic data capturing systems design and programming.
Join us in advancing clinical trials with cutting-edge data management
Based at the Translational Research Institute
About UQ
As part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who have joined us from all over the world. Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you’ll have the opportunity to contribute to activities that have a lasting impact on our community.
Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:
26 weeks paid parental leave or 14 weeks paid primary caregiver leave
17% superannuation contributions
17.5% annual leave loading
Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight
Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
Salary packaging options
About This Opportunity
This position offers an exciting opportunity for individuals passionate about driving innovation in the dynamic field of electronic data capture for clinical trials. As a key player, you will actively participate in designing, developing, and maintaining distinctive data capture systems tailored for various trials. Additionally, you'll play a crucial role in ensuring data quality and providing valuable support to both AKTN staff and clinical trial site coordinators. Key responsibilities:
Create and maintain data management plans for AKTN-coordinated trials and produce workflows for clinical trial data management ensuring compliance
Design electronic Case Reform Forms (eCRF) and manage the design, development, testing, maintenance, closure and archiving of electronic data capture (EDC) systems for clinical trials
Manage data quality assurance and closeout procedures before database lock
Develop clinical trial data specifications, user requirements, edit rules/checks, data validation and user acceptance testing (UAT) procedures for EDC systems and electronic randomisation systems
Oversee web-based training in EDC and ongoing EDC support for AKTN clinical operations staff and site coordinators
Produce data reports for active trials, continuously monitor data quality and ensure timely and accurate data collection
This is a full-time (100%) or part time (minimum 0.6 FTE), fixed-term position for up to 12 months.
At HEW Level 7, the full-time equivalent base salary will be in the range of $94,754.55 - $103,180.96 plus a generous super allowance of up to 17%. The total FTE package will be up to $110,862.82- $120,721.72 annually. As this role is covered by an Enterprise Agreement, you will also receive regular remuneration increases – at least once a year.
About You
Completion of a post graduate qualifications in information technology, computer/data science, software engineering with subsequent experience or an equivalent combination of relevant experience, education and training
Experience in database design, development and management
Experience with web-based electronic data capture systems (e.g. REDCap, Medidata)
Programming (e.g. R, Python, SAS) experience in a research environment
Strong interest in innovative data architecture including combining primary and secondary datasets
High level problem solving, conceptual and analytical skills paired with excellent interpersonal and communication proficiency
Ability to use judgement, show initiative, work independently and effectively collaborate in a team environment
Knowledge and understanding of regulatory guidelines for clinical data management and data privacy
Knowledge of statistical concepts related to biomedical research
Ability to work on-site in person at AKTN workspace
In addition, the following mandatory requirements apply:
Work Rights: You must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.
Mandatory Immunisations: It is a condition of employment for this role that you will be required to provide evidence of immunisation against certain vaccine preventable diseases.
Questions?
For more information about this opportunity, please contact Ms Charani Kiriwandeniya via [email protected]
For application queries, please contact [email protected] stating the job reference number (below) in the subject line.
Want to Apply?
All applicants must upload the following documents in order for your application to be considered:
Cover letter addressing the ‘About You’ section
Resume
Other Information
At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion . We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in the broader community, whether that be gender identity , LGBTQIA+ , cultural and/or linguistic , Aboriginal and/or Torres Strait Islander peoples , or people with a disability . Accessibility requirements and/or adjustments can be directed to [email protected] .
If you are a current employee (including casual staff and HDR scholars) or hold an unpaid/affiliate appointment, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.
Applications close: Sunday 25th February 2024 at 11.00pm AEST (Job Reference Number - R-34725). Please note that interviews have been tentatively scheduled for Tuesday 5th March 2024.
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