Phage Display Research Scientist
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Job Location:
Monthly Salary:
Posted on:
30-10-2025
Vacancies:
1 Vacancy
Job Summary
Full time
Location: Darlinghurst
The Biologics Platform at Garvan Institute is at the cutting edge of biologic therapeuticdiscovery and engineering focusing on the development of innovative antibody-basedtreatments for a range of diseases including cancer autoimmune disorders and inheriteddiseases. Our multidisciplinary team uses state-of-the-art technologies such as phagedisplay high-throughput screening and advanced protein engineering techniques to delivernext-generation biologics. Collaborating across teams and institutions we drive projects frominitial concept through to preclinical development with the goal of transforming patient carethrough groundbreaking therapies.
THE OPPORTUNITY
As part of the Biologics Platform the Phage Display Associate Scientist will supporttherapeutic antibody discovery and biologic engineering efforts. The role focuses on aid indesigning constructing and optimizing and execution of phage display libraries as welwell asscreening them for high-affinity antibody binders. Working in collaboration with cross-functional teams this role will contribute to developing cutting-edge biologics from conceptthrough preclinical stages applying high-throughput technologies and molecular engineeringtechniques.
Salary: $100000 - $110000 14% super salary packaging (depending on experience)
SNAPSHOT OF BENEFITS
Generous salary packaging to save you income tax on your wages thereby boosting your monthly take home pay (max. $15900 general expenses $2650 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
The key responsibilities include:
Phage Display Library Panning: Conduct phage display library selections against a variety of target antigens to identify high-affinity antibody binders.
High-throughput Cloning: Perform cloning of antibodies and antibody fragments into multiple formats ensuring high-quality molecular constructs for subsequent screening and characterization.
Screening and Characterization: Lead high-throughput screening campaigns using ELISA flow cytometry and other binding assays to characterize phage and IgG hits.
DNA and Phage Library Preparation: Prepare DNA and phage libraries through cloning DNA purification E. coli electroporation and phage rescue to ensure high-quality library materials for selection campaigns.
Mammalian Cell Culture: Maintain and use mammalian cells for expressing antibody fragments and testing their functional properties.
Biophysical and Functional Assays: Utilize advanced biophysical assays such as Surface Plasmon Resonance (SPR) and BioLayer Interferometry (BLI) to assess binding kinetics and affinity of selected antibodies.
Automation and Process Development: Use liquid handling automation systems and develop automated workflows for molecular biology processes to enhance the efficiency of screening campaigns.
Data Analysis and Reporting: Analyze experimental data and report findings providing scientific insights to drive project decision-making.
Collaboration: Work closely with a multidisciplinary team of scientists and external collaborators to advance biologic discovery projects.
ABOUT YOU
The key skills and experience include:
Must Have:
Masters Degree in Immunology Molecular Biology Biochemistry Chemical Engineering or related field with at least 2 years of relevant experience for RA7-8 level.
Strong technical proficiency in molecular biology techniques such as restriction enzyme or scarless cloning in complex antibody formats.
Demonstrated experience in phage display library construction screening and antibody characterization.
Hands-on experience with antibody screening by ELISA and other binding assays including the use of liquid handling automation.
Familiarity with bacterial and mammalian cell culture techniques.
Nice to Have:
Experience with display library design and construction.
Experience with protein/antibody engineering including affinity maturation.
Familiarity with next-generation sequencing (NGS) techniques for antibody sequencing and analysis.
Proficiency in bioinformatics tools and databases used in antibody discovery (e.g. Genedata Biologics).
Experience with protein structural analysis software for engineering antibodies and biologics.
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 Australias largest and most highly regarded MRIs.
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
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 youre the right person for this role wed love to hear how your capabilities achievements and experience set you apart.
Applications open: 28th October 2025
Applications close: 26th November 2025
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
