PopGen Data Product Owner at Garvan Institute of Medical Research

Town of Osceola, Wisconsin, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

133000.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Product Ownership, Data Engineering, Solution Design, Data Modelling, Data Analysis, Technical Communication, Collaboration, Vendor Management, Data Governance, Workflow Design, Health Research, Data Pipelines, Process Improvement, Curiosity, Scalability, Integration Solutions

Industry

Research Services

Description

This position is based in the Centre for Population Genomics (CPG), a joint initiative of the Garvan Institute of Medical Research (Garvan) in Sydney and the Murdoch Children’s Research Institute (MCRI) in Melbourne. The Centre is an impact-focused, highly collaborative team that includes data analysts, software engineers, project managers, and communities specialists. Together, we focus on realising the potential of genomic data to improve disease diagnosis and treatment for all Australians, through the establishment of respectful partnerships with diverse communities, the collection and analysis of genomic data at a transformative scale, and the development of cutting-edge tools and resources. THE OPPORTUNITY We are seeking a Data Product Owner or similar Data Professional to join the Population Genomics team at the Centre for Population Genomics. This is an excellent opportunity to be involved in providing expert solution design, architectural guidance and performing technical analysis across data platforms within the health and medical research space. You will be working closely with both the OurDNA, Program Management, and Software teams. The Data Product Owner will develop and manage the data products for the current needs of the OurDNA project, such as the participant recruitment workflow, as well as for future requirements, like return of results and individual level data access workflows. You will help define the current state of the OurDNA data products, along with designing our scale-up data architecture aligning to the long term goals of the OurDNA project. You will work closely with the Software team to design integration solutions for a diverse range of data sources including Laboratory Information Management Systems (LIMS), customised participant portal, our own CPG infrastructure, and Pathology Labs so that the OurDNA and Population Genomics teams have a coherent and actionable picture of the OurDNA participant information and genomic data. This will require you to work closely with both the Population Genomics and OurDNA team to determine current and future requirements from both a scientific analysis and operations management perspective. You will also be in direct contact with external vendors to ensure any architectural decisions are consistent and actionable. Success in this role requires a curious person with a strong data engineering or research background who enjoys both the technical challenge as well as working closely with a diverse team of developers and users. You will be passionate about delivering user-centric solutions that work within our existing platforms. This individual will relish the challenge of developing practical and efficient solutions accepted by varied stakeholders. At CPG, we’re looking for someone who is curious and motivated to use their technical skillset to make a meaningful contribution to society. The CPG is committed to supporting the responsible, progressive, inclusive and safe sharing of genomic and health data to drive medical research and improve human health. This individual will ensure that the CPG’s policies and practices reflect our data management values (respecting participants, protecting genomic and health information and data sharing) and that we comply with relevant institutional policies, national regulations and international data sharing frameworks. Salary: Up to $133,000 + 12% superannuation + salary packaging (depending on experience) Employment Type: 2-year fixed-term SNAPSHOT OF BENEFITS Generous salary packaging to save you income tax on your wages thereby boosting your monthly take home pay (max. $15,900 general expenses + $2,650 meals/accom) Ample opportunities for on-going training and development Stimulating, diverse and highly international research environment Flexible work arrangements e.g. start / finish times 18 weeks paid parental leave for both parents including paid superannuation A range of additional leave types to meet your personal needs including cultural leave, conference leave, community service and study leave Discounted Health Insurance Lifestyle discounts with our community partners WHAT YOU WILL DO ESSENTIAL DUTIES AND RESPONSIBILITIES The key responsibilities include: Overarching responsibility for the data products of the OurDNA program, specifically around participant recruitment and genomic data analysis workflows. Design of data solutions, in collaboration with the OurDNA and Software teams, for end-to-end data workflows from pathology labs and CRMs to metadata management and business intelligence tools. Ensuring that data from under-represented and marginalised groups is treated with the utmost respect and is securely handled at all stages. Develop specific research data governance policies, in conjunction with the CPG Data Governance Officer. Managing data flow and coordination across the project through effective vendor management and collaboration. Facilitate data product management decisions across teams to ensure solutions are consistent, sustainable, flexible and readily adopted. Capture requirements from a range of technical and non-technical stakeholders, including scientists, software engineers and project managers. Ability to articulate data governance and management best practice to technical and non-technical audiences. Collaborate on technical decision making, planning, implementing and documenting data products and pipelines with the relevant teams. ABOUT YOU KNOWLEDGE, SKILLS AND QUALIFICATIONS REQUIRED The key skills and experience include: 5 years minimum experience in data product ownership, data engineering, solution design or similar role Ability to collect and translate design and business logic requirements into technical solutions across backend, APIs, UIs, workflows and data integrations Ability to design data products and workflows that are reliable and scalable and can adopt changes and new requirements without complete re-architecting Experience in data modelling, common data models and ontologies, including modelling standards such as UML 2.0, and ER Diagrams. Skilled communicator, who is able to explain complex concepts relating to their work to both technical and non-technical audiences, through a mix of both verbal and written communication. Someone who is curious and excited to learn new techniques and scientific domains Experience with the implementation and design of data pipelines. Experience in data analysis, experimentation and process improvement Highly engaged and team-orientated, focused on building novel solutions and addressing important biological and medical problems through tight collaboration with team members from a diverse range of backgrounds. DESIRABLE SKILLS The following skills and experience would be beneficial: Experience with health research studies and participant recruitment Experience with health care specific data models like OMOP Experience working with pathology labs Experience with Google Cloud Platform, metadata management, and Python ABOUT GARVAN Garvan Institute of Medical Research is an independent Medical Research Institute (MRI) in Sydney, delivering scientific and clinical impact on a global basis and in partnership with organisations that share our vision. We are proud to be one of Australia’s largest and most highly regarded MRI’s. Our vision is global leadership in discoveries to impact and our enduring purpose is to impact human health, by harnessing information encoded in our genome. We seek to see our world-class discovery research achieve life-changing impacts, not only for individual patients with rare diseases, but for the many thousands affected by complex, common disease. Garvan promotes a diverse workplace and is committed to the principles of equity, diversity, inclusion and belonging. We are always looking for culture ‘add’, not culture ‘fit’ and are building diverse teams with great sets of complementary styles and skills to help deliver our important work effectively. HOW TO APPLY To apply for this position, please submit your application with a CV and cover letter as one document, stating why you are interested in this role. We are reviewing applications as they are received. If you think you’re the right person for this role, we’d love to hear how your capabilities, achievements and experience set you apart. Only applicants with full working rights in Australia are eligible to apply for this role. The Garvan Institute of Medical Research brings together world leading researchers and clinicians, collaborating locally and globally, to improve human health. Our mission is to harness all the information encoded in our genome to better diagnose, treat, predict and prevent disease. From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we are pioneering discoveries across diseases that have the deepest impact on our community. Through our key scientific strengths in data, genomics, cellular, translation and clinical science, we aim to catalyse research from fundamental discovery to transformational impact. Enabled by cutting-edge technology and world-class facilities, and the support of our passionate Garvan family; our researchers and professional staff strive, every day, to create a future where everyone lives longer, healthier lives. https://www.youtube.com/watch?v=VWvuQowpvxM

Responsibilities

The Data Product Owner will oversee the data products for the OurDNA program, focusing on participant recruitment and genomic data analysis workflows. They will design data solutions in collaboration with various teams to ensure effective data management and integration.