Total 43 Science / R&D / Research job vacancies in Tuas

A Senior Research Fellow position as an expert in structural biology is available at the School of Biological Sciences, Nanyang Technological University (NTU). The candidate should have technical experience and knowledge in the areas of mycobacterial enzymes, setting up of cryo-EM and cryo-ET experiments, their data analysis and structure determination. The candidate will provide leadership, communication skills and mentoring to students working in the team.

For more details, please view https://www.ntu.edu.sg/sbs.

We are seeking a highly experienced senior scientist with expertise in structural biology, particularly in protein chemistry and cryo-EM. The successful candidate will play a key role in driving research on mycobacterial enzymes and multi-subunit membrane-embedded complexes, contributing both technical expertise and leadership to the team.

Key Responsibilities:

• Lead and conduct research on the 3D structure determination of mycobacterial enzymes and large protein complexes.

• Set up and perform cryo-EM and cryo-ET experiments, including data collection, processing, and structural analysis.

• Provide mentorship to students and junior researchers in the lab.

• Communicate research findings effectively and contribute to collaborative projects.

Job Requirements:

• PhD in structural biology, biochemistry, or a related field with at least of years of relevant experience.

• Extensive technical experience in protein chemistry, protein engineering, and 3D structure determination of large/multi-subunit membrane enzyme complexes.

• Proven expertise in cryo-EM experiment design, execution, and data interpretation.

• Strong communication and leadership skills, with a track record of mentoring students or junior scientists.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.

Join the laboratory of Liu Chuan Fa at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focused on developing protein conjugates and cyclic peptides as therapeutic agents using bioconjugation and peptide chemistry techniques.

Key Responsibilities

• Develop peptide cyclization methods

• Develop bioconjugation techniques using plant-derived AEPs and other enzymes

• Evaluate pharmacological activity of cyclic peptides and bioconjugates

• Supervise attachment students (FYP, URECA and interns)

• Develop and use AI tools for drug discovery

• Write up, publish and present research results in peer-reviewed international journals and at scientific conferences.

Job Requirements

• A PhD degree in biological sciences or related areas, with prior training in medicinal chemistry, peptide and protein science

• Experience in small-molecule drug discovery, peptide synthesis, protein chemistry and bioconjugation research

• Experience in basic cell & molecular biology, analytical chemistry and biophysics techniques (bacterial and mammalian cell culture, PCR, RT-PCR and ELISA, NMR, Mass Spectrometry, microscopy and flow cytometry)

• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders

• Strong publication record

• Entry level candidates are welcome to apply

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are looking for a Research Associate to work in mental health AI. The role will focus on development of novel multimodal AI models integrating speech, emotions, linguistics, alongside other key mental health modalities. You will also be required to participate in implementation science research pertaining to the deployment and efficacy testing of AI solutions. You will participate in grant and manuscript preparations and also participate in any high impact projects the group is currently working on.

Key Responsibilities:

• De-identification of mental health speech transcripts

• Design and extract text features for modelling ultra-high-risk outcomes

• Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk outcomes

• Implementation Science research --- including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, analysis of data

• Take care of the Lab’s computing infrastructure--- including GPU-enable units and HPC server

• Manuscript and grant preparations --- for all research pertaining to mental health NLP and behavioral work. And to support grant administration, co-writing, and liaison with grant offices and administrative bodies.

• Research protocol development --- including the development of LLM-prompt workflows, deep learning and training and optimization processes, data transformation and feature engineering.

• AI model development --- training, development, deployment, post-deployment testing and monitoring of LLM and deep learning models pertinent to the mental health project.

Required educational qualification, experience, skills and competencies:

• Master (for Research Associate equivalent) qualification degree in data science, AI, mental health, implementation science psychiatry discipline or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in data science and analytics

• Familiarity with PDPA, Good Research Practice, NLP and linguistics analysis

• Good written and oral communication skills (if applicable)

• Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

• Entry level candidates are welcome to apply

The Cognitive and Brain Health Laboratory is a lab housed in Psychology, School of Social Sciences, Nanyang Technological University, Singapore. Our research makes use of multimodal neuroimaging to broadly study cognitive and brain health. For more details, please check out our webpage at https://cogbrainhealthlab.github.io/

We are seeking a Research Assistant to join a newly funded neuroimaging research project that aims to reverse brain ageing.

Key Responsibilities:

• Assist in recruitment of participants

• Administer neurocognitive tests and questionnaires to participants

• Assist with the preparation of manuscripts for publications

• Handle project related documentation and associated administrative tasks

• Perform other tasks as required by the Principal Investigator

Job Requirements:

• Good Honours Degree in Psychology from a recognised institution.

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Candidates must be willing to commit for at least 1 year

Preferred requirements:

• Prior experience with neurocognitive assessments

• Prior experience working with the elderly in Singapore

• Proficiency in Mandarin (working mainly with Mandarin speakers) - essential for data analysis and communication with stakeholders

We regret that only shortlisted candidates will be notified.

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Description :

• Under general supervision, applies functional specifications and uses engineering tools to design hardware for product changes and new development.
• Independently processes data, writes engineering reports, and conducts diagnosis of routine hardware malfunctions.
• Contributes in reliability analysis such as risk assessments and Failure Mode Effects Analysis by compiling and examining data.
• Identifies the testing requirement at a system level with the emphasis on complying with test standards and Halliburton's Health, Safety, and Environment procedures.
• Contributes to Halliburton's Intellectual Property portfolio by preparing Invention Disclosures and recognizing ideas that have Intellectual Property potential without disclosing confidential information.
• Coordinates with project leads to produce project deliverables by assessing input requirements and applying functional specifications.
• Develops relationships through excellent communication skills and acts as a key resource to provide innovative solutions.
• May participate in professional societies in area of specialization.

Requirement:

Requires completion of a bachelor's degree in Mechanical Engineering or similar discipline; master's degree preferred.

Requires two years of related experience (requirement may be waived with master's degree).

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local production of its fiber (vegetables, mushrooms etc.) by 2035. The candidate would be working in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The successful candidate will work in Work Package 3.3: Urban Demo Lab. In this role, you help translate research results from across the program into demonstrators and settings for collaborative exploration that allow key stakeholders to engage with emerging food production technologies – and each other. The Urban Demo Lab serves as a platform where researchers, industry partners, and other stakeholders explore applications, provide critical design feedback and identify opportunities for further innovation: it serves as an attractor for future projects and strategic alliances that maximize the urban impact of ongoing research and development.

As an innovation facilitator, your work provides the active interface that is needed between research, technology translation, and stakeholder engagement. By stimulating dialogue and collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications.

Key Responsibilities:

• Collaborate with research teams to identify key elements of research suitable for demonstration.

• Facilitate workshops, meetings, and stakeholder sessions to explore research outcomes, gather feedback, and identify innovation opportunities.

• Translate scientific insights into demonstrators, prototypes, or other formats such as an overall performance dashboard that communicate application potential to diverse audiences.

• Contribute to identifying and engaging potential partners or funders interested in further development of promising ideas.

Job Requirements:

• Completed PhD in a relevant field (e.g., food systems, food production, sustainability transitions or related fields).

• Systems thinker with an interest in innovation in food production and controlled environment agriculture

• Experience translating scientific research into practical applications, demonstrators or stakeholder-facing outputs.

• Excellent communication skills and ability to work across disciplinary and organizational boundaries.

• Experience facilitating interdisciplinary collaboration, workshops, or stakeholder engagement is an advantage.

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Research Associate to conduct life-cycle assessment on solid waste treatment and management systems.

Key Responsibilities:

• Design and implement experimental studies on solid waste treatment processes, including rigorous data analysis and comprehensive technical evaluation.

• Integrate experimental findings with quantitative modeling and life-cycle assessment (LCA) to assess system performance and environmental impacts.

Job Requirements:

• Master’s degree in Geotechnical Engineering, Environmental Engineering or related field

• At least 1 year of relevant experiences in life-cycle assessment

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

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

Job Duties

• Under broad direction, leads the selection and development of composites, elastomers, plastics, lubricants, and other non-metallic material systems across multiple complex projects, applying advanced materials engineering principles.
• Drives end-to-end materials development, including formulation, processing, qualification, and field deployment.
• Serves as a subject matter expert in non-metallic materials and processes for molded, formed, and formulated products.
• Leads investigation and deployment of alternative materials and processes to improve performance, reliability, and cost.
• Integrates data-driven and AI-enabled approaches into materials design, optimization, and scale-up workflows.
• Provides technical leadership on strategic material sourcing and supplier engagement.
• Advises on resolution of complex field and manufacturing issues, with direct impact on product performance and service quality.
• Embeds reliability, HSE, quality, and project management rigour across all activities.
• Contributes directly to value creation through technology differentiation and performance improvement.

Requirements

• Undergraduate degree in Materials Science, Chemistry, Chemical Engineering, or related discipline with ~10–15 years of relevant experience.
• Advanced degree (MS/PhD) preferred.
• Demonstrated depth in non-metallic materials systems (polymers, elastomers, composites) and their processing.
• Experience applying data science and/or AI/ML methods to accelerate materials development or optimize performance is highly desirable.
• Track record of leading complex technical programs and influencing cross-functional stakeholders.

Key priorities/expectations

• Deliver differentiated non-metallic material systems for demanding applications.
• Accelerate development cycles through integration of modelling, data, and AI tools.
• Provide technical leadership across projects and mentor junior engineers/scientists.
• Anchor reliability and field performance in all material selections and designs.

Key skills & competencies

• Non-metallic materials systems (polymers, elastomers, composites)
• Materials development & qualification (formulation → field deployment)
• Data-driven / AI-enabled materials design and optimization

Overview

The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research.  NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives.

An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 10 in the world for research impact in the field of Education.

The Science of Learning in Education Centre (SoLEC) is a dynamic young research center with the ambition to become an international leader in Science of Learning in Education. Hosted at the National Institute of Education (NIE), SoLEC advances cutting- edge research by integrating insights from neuroscience, cognitive science, psychology, physiology, education, technology and AI in Education.

We are seeking outstanding candidates whose expertise lies at the intersection of these fields, with a proven track record in multi-disciplinary research.

Candidates with appropriate qualifications and relevant research experience are encouraged to apply. We invite applications for the position of Education Research Scientist to join SoLEC.

Requirements

• PhD in relevant discipline (e.g. Neuroscience, Educational Psychology, Cognitive Science, Learning Sciences, Educational Technology or a closely related field);

• Minimum 2 years of post-PhD experience;

• Ability to lead and collaborate within research teams;

• Strong track record in the following areas:
  - Publishing in high quality, peer-reviewed journals
  - Securing competitive, peer-reviewed research funding
  - Conducting independent, innovative research;

• Excellent interpersonal and communication skills (spoken and written English).

Responsibilities

The successful candidate will be expected to:

• Design and implement SoLEC’s research programmes in collaboration with colleagues;

• Lead the development of research projects and secure external funding opportunities;

• Publish internationally in peer-reviewed journals and disseminate impactful findings;

• Translate research into practice and policy impact within education systems;

• Manage administrative and programme‑related tasks to ensure smooth operations;

• Contribute to strategic research initiatives of SoLEC, OfR, and NIE;

• Participate actively in the wider research and service community of NIE.

Application

Interested applicants should complete and submit the following documents:

• Cover letter addressing how you meet each of the requirements of this position;

• Curriculum vitae (including qualification, publications, records of competitive grants and graduate supervision, if applicable);

• Research statement indicating your research areas and accomplishments, highlight best research papers with Tier 1 publications, and research plans;

• Any other documents that demonstrate your qualifications.

Closing Date

The closing date for applications is 20 July 2026.

Other Information

More information on SoLEC can be found at https://www.ntu.edu.sg/nie/science-of-learning-in-education-centre.

Note to applicants:

We regret that only shortlisted candidates will be notified via email.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Mathematics and Mathematics Education Department.

Project Title: Gen AI in teaching undergraduate mathematics: An exploratory study

Project Introduction: This project involves an exploration of Gen AI in teaching and learning of undergraduate mathematics, focusing on NIE students on the study of Calculus. Lessons will be designed with the infusion of Gen AI for both teaching and learning.

Requirements:

• Bachelor’s Degree in Science, Arts and Social Science, or a related field.

• Ability to work under the instruction of the Principal Investigator in the development of Gen AI related instructional material.

• Willingness to work with students in a learning and research environment.

• Ability to assist the Principal Investigator in collecting and analyzing data arising from this study.

Responsibilities:

• Conduct literature review on Gen AI for mathematics instruction.

• Design Gen AI-related instructional material for Calculus under the supervision of the Principal Investigator.

• Design research instrument under the supervision of the Principal Investigator.

• Collecting data and analysing data related to this project.

• Assist the Principal Investigator in drafting documents related to this project.

• Any other administrative duties as assigned by Principal Investigator.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition: R00024976

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Mathematics-and-Mathematics-Education-Department---NIE-_R00024976)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities: 

The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms to verify the theoretical results. 

Job Requirements:

• Applicants should possess a PhD degree or have satisfied all the requirements for a PhD degree in Mathematics.

• Applicants should have deep knowledge in numerical analysis of partial differential equations, and should be competent at implementing complicated numerical algorithms.

Actual appointment grade will depend on candidate’s qualifications and experience.

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

We are seeking a highly motivated Research Associate/ Research Fellow to join our advanced sensors research team at NTU MAE. The successful candidate will support multidisciplinary research activities in biomechanics, robotics, and advanced materials within the laboratory.

Key Responsibilities:

• Support the team towards comprehensive literature reviews on injury biomechanics, physiological effects, computational modelling and related research topics.

• Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools.

• Design and conduct experimental studies using instrumented human manikins and other test platforms to evaluate biomechanical responses and validate simulation results.

• Assist in the design, fabrication, and characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes.

• Develop and optimize experimental setups, testing protocols and data acquisition systems for biomechanical and robotics-related research.

• Analyse experimental and simulation data, prepare technical reports, and document research findings.

• Support the integration of advanced materials and sensing technologies into robotics and other interdisciplinary research initiatives.

• Inline sensor system developmental work for 3D printing of non-newtonian materials.  Optimization of hardware configurations to maintain a food-grade environment, including development of testing protocols and validation procedures.

• Collaborate with faculty members, researchers, students and external partners to achieve project objectives and milestones.

• Assist in the preparation of research publications, presentations, grant reports, and project deliverables.

• Maintain laboratory equipment and ensure compliance with laboratory safety procedures and research best practices.

• Liaise with external vendors on custom sensors and related mechanical system development.  Manage technical specifications and acceptance testing.  Coordinate technical discussions with collaborators and project stakeholders.  Track project milestones, risks, and technical deliverables.

Requirements

• PhD's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related discipline.

• Knowledge of multi-physics modelling for non-newtonian materials.

• Experience with 3D printing technologies, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with signal processing and analysis, control systems, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

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

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.

We are seeking a highly self-motivated individual to join the School of Civil and Environmental Engineering (CEE) as a Research Associate. The successful candidate will be responsible for leading and managing research projects, with duties including (but not limited to) project administration, progress monitoring, and reporting.

Key Responsibilities:

• Lead research teams and projects to achieve defined objectives and deliver impactful outcomes.

• Conceive and develop novel research ideas to push the frontiers of biotechnology and bioprocesses.

• Oversee and monitor project progress, ensuring milestones and deliverables are met on time.

• Engage, manage, and liaise with stakeholders, including funding agencies, industry partners, and academic collaborators.

• Supervise and mentor graduate students, while contributing to grant proposal preparation and research publications.

Job Requirements:

• The individual is expected to possess at least a Master’s in Environmental Engineering, Chemical Engineering or a related field.

• Prior experience in biotechnology or bioprocesses related work is highly favorable.

• Good written and oral communication skills.

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

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply