Research Fellow in AI for Drug Discovery

Parkville, MN - USA

Monthly Salary: $ 118974 - 141283

Posted on: 30+ days ago

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

Research Fellow in AI for Drug Discovery

Job No.:683313

Location:Parkville campus

Employment Type:Full-time

Duration:12 months fixed-term appointment

Remuneration:$118974 - $141283 pa Level B (plus 17% employer superannuation)

Amplify your impact at a world top 50 University
Join our inclusive collaborative community
Be surrounded by extraordinary ideas - and the people who discover them

The Opportunity

Reporting to Professor Barca the Monash Institute of Pharmaceutical Sciences and working in collaboration with QDX Technologies the focus of this role will be to advance cutting-edge research at the interface of quantum chemistry artificial intelligence (AI) and drug discovery. The Research Fellow will be part of a world-class team recognised with prestigious honours including the Gordon Bell Prize and the WATOC Dirac Medal.

As the successful candidate you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning enabling rapid and accurate molecular discovery. You will work closely with academic researchers and industry partners to translate research outputs into real-world therapeutic design pipelines.

Key responsibilities include:

Developing and deploying machine learning models (e.g. graph neural networks neural force fields diffusion models) for molecular property prediction and molecular generation.
Integrating quantum chemistry data (e.g. DFT MP2) and experimental data into AI-driven pipelines for structureproperty learning and reactivity prediction.
Applying AI models to real-world problems in virtual screening ligand optimization and covalent drug design.
Collaborating with researchers and engineers at the Monash Institute of Pharmaceutical Sciences and QDX Technologies to implement scalable AIquantum hybrid platforms for drug discovery.
Publishing peer-reviewed research and contributing to industrial software tools.

About You

To be successful in this role you will have:

A PhD in machine learning computer science computational chemistry computational biology or a closely related discipline.
Demonstrated experience in the design of machine learning architectures such as GNNs VAEs or diffusion models applied to molecular data.
Strong knowledge of quantum medicinal chemistry principles and chemical representations; familiarity with physics-informed ML and drug discovery is necessary.
Proficiency in Python and deep learning frameworks such as PyTorch JAX or TensorFlow.
Experience with C and GPU programming.
A strong growth mindset attention to scientific rigor and the ability to thrive in an interdisciplinary collaborative environment.

About Monash University

AtMonash work feels different. Theres a sense of belonging from contributing to something groundbreaking a place where great things happen.

We value difference anddiversity and welcome and celebrate everyones contributions lived experience and expertise. Thats why we champion an inclusive and respectful workplace culturewhere everyone is supported to succeed.

Together with ourcommitment to academic freedom you will have access to quality research facilities infrastructure world-class teaching spaces and international collaboration opportunities.

Learn more about Monash.

To Apply

For instructions on how to apply please refer toHow to apply for Monash application must address the Key Selection Criteria.

Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people culturally and linguistically diverse people people with disabilitiesneurodivergent people and people of all genders sexualities and age groups.

We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments please contact us atin an email titled Reasonable Adjustments Request for a confidential discussion.

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role as determined by the University.

Enquiries:Professor Giuseppe Barca Professor of Quantum Medicinal Chemistry Ph:

Position Description:Research Fellow

Applications Close:Thursday 11 September 2025 11:55pm AEDT

Supporting a diverse workforce

Email Job

Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations and pays its respects to their elders past and present.

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Research Fellow in AI for Drug DiscoveryJob No.:683313Location:Parkville campusEmployment Type:Full-timeDuration:12 months fixed-term appointmentRemuneration:$118974 - $141283 pa Level B (plus 17% employer superannuation)Amplify your impact at a world top 50 UniversityJoin our inclusive collaborativ...

Research Fellow in AI for Drug Discovery

Job No.:683313

Location:Parkville campus

Employment Type:Full-time

Duration:12 months fixed-term appointment

Remuneration:$118974 - $141283 pa Level B (plus 17% employer superannuation)

Amplify your impact at a world top 50 University
Join our inclusive collaborative community
Be surrounded by extraordinary ideas - and the people who discover them

The Opportunity

Key responsibilities include:

Developing and deploying machine learning models (e.g. graph neural networks neural force fields diffusion models) for molecular property prediction and molecular generation.
Integrating quantum chemistry data (e.g. DFT MP2) and experimental data into AI-driven pipelines for structureproperty learning and reactivity prediction.
Applying AI models to real-world problems in virtual screening ligand optimization and covalent drug design.
Collaborating with researchers and engineers at the Monash Institute of Pharmaceutical Sciences and QDX Technologies to implement scalable AIquantum hybrid platforms for drug discovery.
Publishing peer-reviewed research and contributing to industrial software tools.

About You

To be successful in this role you will have:

A PhD in machine learning computer science computational chemistry computational biology or a closely related discipline.
Demonstrated experience in the design of machine learning architectures such as GNNs VAEs or diffusion models applied to molecular data.
Strong knowledge of quantum medicinal chemistry principles and chemical representations; familiarity with physics-informed ML and drug discovery is necessary.
Proficiency in Python and deep learning frameworks such as PyTorch JAX or TensorFlow.
Experience with C and GPU programming.
A strong growth mindset attention to scientific rigor and the ability to thrive in an interdisciplinary collaborative environment.

About Monash University

AtMonash work feels different. Theres a sense of belonging from contributing to something groundbreaking a place where great things happen.

Together with ourcommitment to academic freedom you will have access to quality research facilities infrastructure world-class teaching spaces and international collaboration opportunities.

Learn more about Monash.

To Apply

For instructions on how to apply please refer toHow to apply for Monash application must address the Key Selection Criteria.

Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role as determined by the University.

Enquiries:Professor Giuseppe Barca Professor of Quantum Medicinal Chemistry Ph:

Position Description:Research Fellow

Applications Close:Thursday 11 September 2025 11:55pm AEDT

Supporting a diverse workforce

Email Job

Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations and pays its respects to their elders past and present.

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