145 Drug Discovery jobs in Singapore

DESCRIPTION:

We are seeking a passionate and innovative Computational Scientist to join our interdisciplinary research team focused on the integration of Computation, AI/Machine Learning, and Drug Discovery. The ideal candidate is a PhD holder with a track record in developing and applying cutting edge computational methodologies and motivated by the opportunity to bridge the gap between methodological innovation and practical impacts in drug discovery.

RESPONSIBILITIES:

· Design and apply cutting edge computational and machine learning approaches across key stages of drug R&D, including target identification, lead optimization, translational predictive modeling and patient selection.

· Develop and optimize computational frameworks that integrate diverse data types (chemical, biological, omics, clinical) into cohesive models.
• Collaborate with domain experts in computational biology, cheminformatics, pharmacology, and drug discovery to tailor computational models to real world problems.

· Publish research findings in leading journals and conferences, and contribute to strategic initiatives.

· Mentor junior team members and contribute to a collaborative, cross disciplinary research environment.

REQUIREMENT:

· PhD in Bioinformatics, Computational Biology, Pharmaceutical Sciences, Biomedical Engineering, Applied Mathematics, Computer Science, or a related field, with a focus on machine learning or computational modeling.

· Strong publication record or demonstrable contributions to open source tools or reproducible research.

· Proficiency with AI/ML methodologies and implementations.

· Excellent problem solving skills, with an ability to balance theoretical rigor with practical implementation.

· Familiarity with challenges in drug discovery and development preferred.

· Eagerness to learn and advance the state of the art.

· Interest in areas of AI/ML such as Active Learning, Geometric Deep Learning, Multi Modal Learning, Causal ML, Generative Models, and Agentic AI.

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.

We are seeking a skilled Medical Research Coordinator to join our team. As a key member of our research department, you will be responsible for coordinating and implementing various research studies.

Job Summary:

• We are seeking a skilled Medical Technologist to join our team.

• Determine the acceptability of samples with guidelines and prepare specimens for analysis.
• Perform laboratory tests as stated in the standard procedure manual.
• Coordinate general workflow and prioritize laboratory requests according to Stat, Urgent and Routine.
• Able to operate and calibrate most laboratory instruments.
• Perform periodic preventive maintenance on laboratory instruments.
• Validate the accuracy of laboratory data.
• Perform new procedures as directed.

• At least a Diploma/Degree in Medical Technology/Biotechnology/Biomedical Science.
• Minimum 2 years of working experience in Clinical Laboratory.
• A team player with initiative and adaptable to changes.
• Willing to work on PH, Weekends and Night.
• Candidate with no experience are welcomed to apply.

Only shortlisted candidates will be notified.

• Hematology
• Adaptive
• Preventive Maintenance
• Troubleshooting
• Quality Control
• Treatment
• Inventory
• Microbiology
• Reliability
• Statistics
• Team Player
• Immunology
• Instrumentation
• Life Sciences
• Laboratory

Leveraging a diverse suite of platforms, Hilleman can rapidly respond to emerging needs to provide the right solution to control the impact of infections. Find out how we use these platforms in our R&D and manufacturing hub in Singapore

Targeted use of microbial species such as E. coli and P. pastoris as high productivity expression platforms, with a view to reducing cost of production.

Deploying cost-effective platforms for the production of various types of vaccines such as live-virus vector, attenuated, and inactivated vaccines.

Development of potential targets using the vesicular stomatitis virus (VSV) and measles virus vectors (MeV), both of which are established as stable and highly reliable platforms.

Using circular RNA as a vaccine modality could potentially offer greater biostability, thermostability and better immune responses with longer protective responses.

Leveraging polysaccharide conjugation to develop more effective vaccines which may be a safer alternative.

Hilleman Laboratories operates a first-of-its-kind vaccine development hub in Singapore, consisting of a research and development (R&D) facility at Biopolis, alongside a 30,000 square foot pilot-scale manufacturing facility at 138 Depot Road. The hub provides end-to-end product development solutions from concept to pilot manufacturing and Phase II clinical studies, supporting the development of affordable, high-value vaccines and biologics for low- and middle-income countries.

The state-of-the-art R&D facility in Biopolis undertakes process development, analytical development, drug product development and formulation for vaccines and biologics. It focuses on product development of vaccines and biologics, including candidate selection, design, early manufacturing process development and preclinical studies.

As one of the facilities of the dual-feature set up, the Good Manufacturing Practices (GMP) facility is capable of producing clinical trial material (up to Phase II) and is equipped with drug product fill-&-finish capability. This unique set-up enables the two facilities working in tandem to provide end-to-end product development, leveraging innovative technology platforms to develop affordable, high-value vaccines and biologics. The facility has also been designed to easily pivot to manufacture vaccines for emergency use during pandemics.

Hilleman is a critical connector, bringing together health ecosystem stakeholders for vaccines and biologics R&D and manufacturing. We collaborate with local, regional and global partners and stakeholders, including policymakers and governments, to facilitate wider, affordable access to life-saving vaccines and biologics. Apart from conducting translational research and product development, we also act as a catalyst for advancements in the biopharma industry by facilitating technology transfers, and capability building through manpower development initiatives.

We are seeking a highly skilled and innovative Scientist to join our R&D Lab.

The ideal candidate will be passionate about biologic drug development, have expertise in designing and developing assays, and demonstrate exceptional leadership skills.

• Design, develop, validate, and perform bioassays compliant with FDA/EMA, OECD GLP principles and other regulatory guidelines.
• Data compilation, interpretation, and statistical analysis when required.
• Perform studies/assays and ensure data integrity.
• Draft, revise, and review study protocols, study reports, and SOPs.
• Review various types of documents, data, and provide scientific input.
• Delegate scientific tasks to team members and ensure timelines are met.
• Perform literature reviews and provide technical and scientific expertise as required.

• PhD in biomedical science, life science, or equivalent.
• Proficiency in mammalian cell culture and aseptic techniques.
• Experience in cell-based assays, ligand binding assays, such as ELISA and BLI, and microscopy techniques.
• Knowledge in SDS-PAGE, Western Blot, flow cytometry, and immunostaining is desirable.
• Experience in drafting study protocols, study reports, and SOPs.
• Experience in method development, method validation, biologic drug characterization, and PK & immunogenicity analysis.
• Proficiency with LIMS, office management software (MS Office, Teams), and statistical tools (Prism, SPSS, or PLA).
• Experience in GLP/GCLP and/or ISO17025 is a plus.
• Ability to deliver quality data on time to meet project timelines.
• Outstanding organizational, interpersonal, and oral communication skills are critical.
• Superior attention to detail, problem-solving, and troubleshooting skills are desirable.

Clinical Research Medical Advisor

Location: Singapore #LI-Hybrid

Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

About the Role:

As the Clinical Research Medical Advisor (CRMA), your responsibility lies within the development of Global Clinical Trials – this includes medical oversight for all trials, portfolio and/or protocol medical feasibility, scientific engagement of investigators, protocol and TA training for internal and external stakeholders, medical issue or question management, safety review, strategic input in pre-launch planning.

You will drive compliance across all aspects of clinical trials and CRMA related activities. It will be critical to ensure good communication and stakeholder management cross-functionally within the local country organisation as well as between global and regional teams.

Key Responsibilities:

• Medical oversight of clinical trials across all stages and contribute to operational trial deliverables, according to timelines, quality/compliance, and performance standards.
• Drive portfolio/trial medical feasibility within the Global Development framework and provide country clinical strategic guidance and proposals in collaboration with Study and Site Operations Team and Medical Affairs Team.
• Identify and propose new sites for clinical trials, analyse capability, assess patient pool and country treatment landscape, and make recommendations for potential trial inclusion.
• Provide robust indication and protocol training to CRAs, CSMs, RSMs and other functions in the country as needed.
• Responsible for medical related education, implementation and compliance to protocol, standards (SOPs) and best practices for clinical development within assigned clinical trial(s) and within clinical program(s), including sharing lessons learned.
• Provide medical expertise to clinical/operational activities for patient eligibility, medical question-management, safety, amendments, etc.
• Collaborate cross-functionally for the early product launch planning process to ensure Global Development trials conducted are aligned with the local country strategy.
• Support medical/clinical team discussions with local regulatory interactions as needed.
• Medical Degree (MD, MBBS).
• Proven experience in medical practice or pharmaceutical industry experience with a background in clinical trials/medical affairs/life sciences/research in all aspects of drug development including clinical research, GCP, and local regulatory requirements.
• Demonstrated experience in managing projects, feasibility conduct and the execution of strategic plans from a medical perspective.
• Outstanding internal and external stakeholder engagement experience.

Commitment to Diversity and Inclusion / EEO paragraph:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

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Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

We are seeking a highly motivated individual with a strong interest in cancer genetics and genomic medicine to join our research team under Associate Professor Joanne Ngeow. The successful candidate will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer predisposition and to develop accurate cancer risk prediction models.

The ideal candidate will have a PhD degree in Computational Biology, Bioinformatics, or a related field and at least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration is also essential. Additionally, the candidate should have familiarity with cancer genomics and functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages is required, as well as knowledge of cloud computing and high-performance computing environments.

• Integrate and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights
• Apply statistical and machine learning models to identify cancer risk biomarkers
• Integrate clinical, environmental, and lifestyle data to create predictive risk models
• Develop and implement computational pipelines for analyzing next-generation sequencing (NGS) data (whole genome, exome, RNA-seq)
• Work closely with clinicians, geneticists, and wet-lab researchers to interpret findings
• Contribute to scientific publications, presentations, and grant applications
• Ensure proper handling, storage, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis

• PhD degree in Computational Biology, Bioinformatics, or a related field
• At least 2 years of experience in analyzing large-scale genomics datasets
• Familiarity with cancer genomics and functional interpretation of genetic variants
• Proficiency in Python, R, or other bioinformatics languages
• Knowledge of cloud computing and high-performance computing environments

This is an excellent opportunity to work in a dynamic research environment with a talented team of scientists and clinicians. We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.

To apply for this position, please submit your CV and a cover letter outlining your qualifications and experience. We look forward to hearing from you!