244 Drug Discovery jobs in Singapore

The Genome Institute of Singapore (GIS) is the national flagship for genomic sciences, driving cutting-edge research at the intersection of biology, engineering, and medicine. This position is offered in the Laboratory of AI in Genomics, led by Prof. Mile Sikic, which uses advanced bioinformatics and deep learning approaches to develop next-generation models for genomic data analysis. We are group a of computer scientist with a mission to improve healthcare using advance deep learning models. Located in the heart of Singapore's thriving biomedical hub, GIS offers a dynamic and collaborative environment, with close ties to world-class universities (NUS and NTU), pharmaceutical companies, and biotech start-ups. Joining our team means working on transformative projects with real-world impact, while benefiting from Singapore's vibrant research ecosystem and strong support for innovation.

Project background

The AI in drug discovery (AIDD) project focuses on developing innovative tools and technologies to accelerate drug discovery, with a particular emphasis on unlocking new druggable spaces, such as RNA-targeting molecules, for example. With AI-driven strategies, AIDD aims to accelerate target identification to lead discovery while also advancing novel small molecules and other therapeutic modalities for next-generation drug development.

This project aims to develop novel deep learning methods for RNA tertiary structure prediction, inspired by the breakthroughs of AlphaFold in protein structure modeling. We plan to design a robust framework that incorporates RiNALMo, our state-of-the-art RNA language model (Penic et al., 2025 ). Additionally, we will investigate the integration of chemical reactivity measurements to enhance accuracy. Such data, closely tied to RNA's 3D structure, offers valuable information on secondary structure elements, base-pairing, and conformational flexibility. By leveraging these inputs, our approach seeks to bridge the gap between computational and experimental methods, with significant implications for RNA drug discovery.

Job description

We are looking for a highly motivated postdoctoral researcher to:

• Develop deep learning-based models for RNA structure prediction
• Analyze chemical reactivity experimental data
• Incorporate chemical reactivity experimental data into the structure prediction pipeline
• Run large-scale training on high-performance computing infrastructure
• Perform model finetuning and hyperparameter optimization
• Evaluate models on experimental data

Profile

We welcome applications from candidates with:

• A PhD in computer science, computational biology, computational chemistry, applied mathematics, physics, or a related field
• Proven experience in deep learning research and development
• publication record at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML, VPR, ICCV, ACL, etc)
• Strong experience in Python programming and solid software engineering skills
• Experience with biomolecules and/or high-performance computing is a plus
• Interest in biology, biomolecules, or genomics (prior expertise not required)
• A structured, independent, proactive and collaborative working style

We offer

• A fully funded position with an internationally competitive salary
• Professional development opportunities, including support for grant applications and participation in conferences and workshops
• Access to state-of-the-art research infrastructure, including NSCC's high-performance computing clusters
• A dynamic, interdisciplinary, and collaborative research environment
• The position is initially offered for one year, with the possibility of renewal.

How to apply

We look forward to receiving your application with the following documents:

• Letter of Motivation
• CV
• Diplomas & Transcripts

We accept applications submitted through our online application portal or via email directed to Prof. Sikic at

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

DESCRIPTION:

We are seeking a highly motivated and technically skilled Research Officer to join our interdisciplinary research team focused on the integration of Computation and AI/Machine Learning into Drug Discovery. The successful candidate will contribute to the development of cutting edge computational and AI driven platforms that accelerate therapeutic discovery, optimize drug candidates and support translation to clinical impact.

You will work alongside researchers across diverse domains, including computational biology, cheminformatics, pharmacometrics, contributing to foundational algorithmic advancements, build robust computational tools, as well as supporting active drug projects.

RESPONSIBILITIES:

· Support the development of data processing pipelines across chemical, biological and clinical datasets.

· Design, implement and operationalize computational workflows to enable robust and scalable execution of advanced algorithms, including model training, hyperparameter tuning, performance evaluation, and inference.

· Develop user friendly computational tools and interfaces to make advanced computational models accessible to domain experts across biology, chemistry, and pharmacology.

· Collaborate with domain experts across multiple scientific and drug discovery disciplines.

REQUIREMENTS:

· Bachelor or Master degree in bioinformatics, cmputational Biology, chemoinformatics, Pharmaceutical Sciences, Biomedical Engineering, Applied Mathematics, Computer Science or a related field.

· Strong programming skills, with experience in scientific computing or ML libraries (e.g., PyTorch, scikit learn, RDKit).

· Excellent oral and written communication skills.

· Demonstrated curiosity and eagerness to learn, with a proactive attitude toward exploring new methods, concepts and tools.

· Up to date knowledge of recent advances in AI/ML, particularly those relevant to biomedical or drug discovery applications.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Work timing : Start 7 am ( 6 - 12 hours shift)

Work days: 3 to 4 days weeks

Location: Biopolis 

Responsibilities:

•    Provides assistance to the research team

•    Screens and recruits suitable patients to participate in the research project

•    Briefs patients on research background and rationale and to obtain their consent of participation

•    Collects data from patients' medical records and research statistics

•    Helps document adverse events / reactions that arise

•    Performs phlebotomy and venepuncture when required

Requirements:

•    Min. Diploma in Nursing

•    Min 3 years' experience in Hospital

If interested, please email me at or telegram @kellynlytan 

Kellyn Fullviana
(CEI.No: R l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599

Work timing : Start 7 am hours shift)

Work days: 3 to 4 days weeks

Location: Biopolis 

Responsibilities:

•    Provides assistance to the research team

•    Screens and recruits suitable patients to participate in the research project

•    Briefs patients on research background and rationale and to obtain their consent of participation

•    Collects data from patients' medical records and research statistics

•    Helps document adverse events / reactions that arise

•    Performs phlebotomy and venepuncture when required

Requirements:

•    Min. Diploma in Nursing

•    Min 3 years' experience in Hospital

If interested, please email me at or telegram @kellynlytan 

Kellyn Fullviana
(CEI.No: R l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599

We are currently seeking clinicians to fill a Medical Research Doctor role.
You will work with our Global team of research and clinical professionals to facilitate the translation of research data and quality improvement programs into clinical practice and improvement of patient care. The role includes assisting with drafting and reviewing documentation and publications, project coordination and liaison with project teams, as well as presentation to external stakeholders and conference participation.
This is a fantastic opportunity to become involved in medical management and quality improvement projects with an internationally recognised research organisation.
This role offers home-based working from Singapore or hybrid working from our offices in Cambridge and Norwich, UK, on a full or part-time basis, with flexible working hours that can fit alongside caring arrangements or other clinical/research commitments.
Primary Responsibilities
To contribute to medical quality improvement programs.
To continually assess the benefit of our quality improvement programs to patients, and tailor the programs to maximise their real-life application in a clinical setting.
Review and contribute to scientific documents and publications (including proposals and reports).
To independently develop ethics applications for projects.
To contribute to new and existing projects with respect to considering practical medical issues and clinical application; and to understand EMR data and coding systems and give guidance on the application of data to projects.
Review and complete presentations, abstracts, and posters.
Communication and liaison with internal teams across various global locations.
Liaison with study sponsors and steering committee experts.
Presentations and calls with external stakeholders.
Participation and presentations at international medical/scientific conferences.
Qualifications
Doctor of medicine.
Minimum of 3 years of clinical experience ideally gained within the UK.
Clinical experience or scientific study in the field of respiratory medicine is an advantage.
Experience and Key Skills
UK clinical experience is preferred, ideally within NHS Primary Care.
An interest in research and scientific studies.
Experience in scientific writing, publication of peer-review journal publications is preferred.
Client relations, liaising with external parties internationally, strong leadership and presentation skills.
Excellent written and verbal English communication skills.
Salary
is dependent on experience.
Contact Us
Please send your CV with a covering letter summarising your suitability for the role to All candidates will be required to undertake a remote skills test prior to interview. We look forward to hearing from you.
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Medical Research Assistant (Govt Hospital)

Location: Queenstown

Working Hours: Mon-Fri, 8.00am-4.30pm; Saturdays, 8.00am - 12.30pm

Duration: 6 Months Renewable contract

Salary: Up to $3400

Benefits:

• Government Hospital - Stable industry
• AWS + 2-3 months performance bonus + yearly salary increment
• Good leave policy + medical benefits

You will be responsible for the following:

• Subject Recruitment and follow up
• Research Documentation / Administrative duties
• Conduct research study activities like patient recruitment, data collection and data management
• Assist in data collection from electronic health records
• Set up and maintain study investigator files, including records of consent taken and blood collection
• Maintain study records in databases such as Redcap and in electronic health record systems
• Responsible for maintaining strict adherence to research protocols i.e., HBRA
• Liaise with investigators, clinicians and laboratory team to set up clinical workflows at multiple clinical departments for research recruitment
• Prepare necessary documentation for audit purposes
• Coordinate the submission of new IRB applications, study amendments and annual reports
• Maintain the highest standard of professional conduct and record keeping in accordance with hospital policies, ethics requirements and local regulations
• Assist with any other duties of a similar nature that are delegated by the PI

• Bachelor Degree in Science/ Public Health/ Social Science
• Able to adapt in a fast-paced environment
• Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA)

Please submit your updated resume in MS Words format by using the APPLY NOW button.

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume for the purpose of processing and administration related to this job application.

Note: This description contains a link to a data protection notice in plain text:

Kenneth Isaac Peter
Registration Number: R
MCI Consulting Pte Ltd (EA Licence: 13C6730)

Medical Research Assistant (Govt Hospital)
Location:
Queenstown
Working Hours:
Mon-Fri, 8.00am-4.30pm; Saturdays, 8.00am - 12.30pm
Duration:
6 Months Renewable contract
Salary:
Up to $3400
Benefits:
Government Hospital - Stable industry
AWS + 2-3 months performance bonus + yearly salary increment
Good leave policy + medical benefits
Job description
You will be responsible for the following:
Subject Recruitment and follow up
Research Documentation / Administrative duties
Conduct research study activities like patient recruitment, data collection and data management
Assist in data collection from electronic health records
Set up and maintain study investigator files, including records of consent taken and blood collection
Maintain study records in databases such as Redcap and in electronic health record systems
Responsible for maintaining strict adherence to research protocols i.e., HBRA
Liaise with investigators, clinicians and laboratory team to set up clinical workflows at multiple clinical departments for research recruitment
Prepare necessary documentation for audit purposes
Coordinate the submission of new IRB applications, study amendments and annual reports
Maintain the highest standard of professional conduct and record keeping in accordance with hospital policies, ethics requirements and local regulations
Assist with any other duties of a similar nature that are delegated by the PI
Requirements
Bachelor Degree in Science/ Public Health/ Social Science
Able to adapt in a fast-paced environment
Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA)
Please submit your updated resume in MS Words format by using the APPLY NOW button.
We regret to inform that only shortlisted candidates would be notified.
By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume for the purpose of processing and administration related to this job application.
Note: This description contains a link to a data protection notice in plain text: Kenneth Isaac Peter
Registration Number: R
MCI Consulting Pte Ltd (EA Licence: 13C6730)
#J-18808-Ljbffr

(What the role is)

The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focusing on the Southeast Asia region.

CCRS is offering an exciting job opportunity for a scientist with a strong background in AI/ML and its application to climate, as well as good knowledge of climate variability and change in the tropics with focus on Southeast Asia. As part of the Department of Climate Research (DCR), the Climate Projections and Extremes Branch (CPEB) focuses on climate processes relevant to Singapore and the Southeast Asian region and developing next generation high resolution regional climate change projections for its stakeholders.

A core component of the work is the application of AI/ML methods for climate and climate change time scales, especially as part of the new AI-based production of high-resolution regional climate change projections.

We are therefore seeking an experienced scientist with a strong background in the application of AI/ML in climate science as well as an understanding of climate variability and change (especially for tropical regions such as Southeast Asia).

(What you will be working on)

The job scope will include but not limited to the following:

• Implement AI/ML methods on our HPC system; train the AI/ML models and test their capabilities
• Benchmarking of climate and downscaling AI/ML models for use in climate projections
• Contribute to the analysis of climate simulations using both standard as well as ML methods
• Contribute to research on climate variability and change (including tropical processes) as guided by the BH and HOD
• Contribute to CPE Branch strategic planning through contributions to annual work plans, end of year reports, regular meetings with BH CPE Branch and other relevant staff.
• Contribute to support, nurture and developing of other scientists in the CPE Branch, regarding AI/ML applications.
• Contribute to effective stakeholder engagement

(What we are looking for)

The job might be for you if you possess the following:

• PhD/MSc degree in computer science, physical sciences and research experience in application of AI in climate, atmospheric/oceanic science, or meteorology
• High proficiency in scientific computing, especially PYTHON, with experience applying AI/ML libraries
• Experience working on HPC systems (linux, bash, CDO, etc)
• Experience in publishing articles in peer-reviewed journals
• Versatile and creative verbal and written communication skills, able to communicate detailed technical/ scientific information into easily understood, engaging, influential and informative article/programme to a broad audience
• Ability to work effectively to deadlines on individual projects and as part of a diverse team.
• Interest and passion to deliver relevant R&D for societal benefits.
• Ability to network effectively with the local and international research community.
• Ability to engage and communicate with scientists and stakeholders from diverse communities.

Please send in samples of past work, clearly stating the areas of your involvement.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

We are seeking Research Scientists for our quantum research team in Singapore

The Quantinuum office in Singaporeis a hub for scientific discovery and cutting-edge research that will inspire quantum solutions to the world's most complex problems in fields including for example computational biology, finance, chemistry, and optimization. Working in close partnership with Singapore's National Quantum Office (NQO), Agency for Science, Technology and Research (A*STAR), National University of Singapore (NUS), Centre for Quantum Technologies (CQT),and National Supercomputing Centre (NSCC), the center will cater to fostering Singapore's growing quantum computing ecosystem, offering a platform to co-develop use cases and quantum algorithms for implementation on local quantum computing hardware.

Our team members regularly publish scientific papers and present their results at leading conferences. In this role, you will work in a collaborative environment and contribute to advancing our state-of-the-art quantum computing stack. You will also engage with our academic and industry partners.

• Conduct research on new quantum algorithms for areas including biology, finance, chemistry, and optimization models
• Develop and implement novel quantum algorithms integrated with early fault-tolerant protocols and error correction or detection primitives
• Contribute to end-to-end resource estimation of quantum algorithms under realistic hardware constraints
• Communicate scientific results internally across teams and externally through publications and conference presentations
• Engage with clients on projects in the above mentioned areas

• PhD in a relevant field (physics, mathematics, computer science etc.)
• Research experience in quantum algorithms, along with demonstrated expertise in at least one of the following areas: quantum algorithm design and optimization, realistic noise models of quantum hardware, quantum error correction, and(partially) fault-tolerant protocols

• Demonstrated research track record via publications in a relevant field
• Deep knowledge of quantum computing and quantum algorithm design
• Hands-on experience with implementing quantum algorithms on simulators or hardware
• Excellent written and oral communication skills
• Programming skills in a high-level language such as Python and relevant tools such as pytket, Qiskit etc.