This is an exciting opportunity to be part of our dynamic research team at SIT Teaching & Learning Academy (STLA). The research assistant will play a crucial role in project management, data collection and analysis and present findings to various stakeholders. The core of this role will be to assist in several new research projects which explore various approaches for how Generative AI (GAI) and Large Language Models (LLMS) can be used to facilitate better teaching and learning practices. Beyond this, you will work closely with and be guided by STLA’s larger research team and have opportunities to support on wider research projects as part of our research team as well.

Key Responsibilities:

• Support formulation of research methodologies for several AI based research projects
• Schedule and Conduct surveys, interviews and FGD’s for data collection purposes
• Manage and monitor survey completion rates
• Manage tokens of appreciation for research participants
• Conduct both quantitative and qualitative analysis of data when required
• Effectively communicate research findings to the team and various stakeholders

Job Requirements:

• Bachelor’s degree in a relevant field or evidence of equivalent knowledge and skills (e.g., psychology, education, social sciences, computer science)
• 1-3 years of experience in educational research
• Functional understanding of teaching methods and strategies in an applied learning context
• Experience in research project management and data collection preferred
• Experience in qualitative and quantitative research methods preferred
• Possess track record of scholarly publications/presentations preferred
• Familiarity and interest with coaching principles and research is a plus
• Knowledge, interest and experience in GAI/LLM research is a plus

Key Competencies

• Interpersonal skills for recruiting research participants and collecting data from them
• Strong organisational skills to effectively manage data collection processes, multiple tasks, deadlines, and project components
• Ability to apply appropriate data collection and analysis techniques
• Ability to efficiently managing time to meet project milestones and deliverables
• Have a functional understanding of teaching methods and strategies in an applied learning context
• Understanding, interest and awareness of uses for GAI and LLM technology

Major Challenges:

• Learning new content knowledge
• Learning new data collection and analysis methods
• Interacting with research participants for recruitment, data collection, and research administration

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Job Description

The Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population.

The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”).
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player in a diverse workforce.

We regret that only shortlisted candidates will be notified.

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 3 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 3 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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.

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 5 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 5 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow Positions in Cultured Seafood Meat

The Department of Biological Sciences is seeking a highly-motivated Research Fellow to join our efforts in researching and developing Cultured Meat Products from economically important seafood and fish species. You will also be working in a highly interdisciplinary R&D environment under the auspice of the CRISP Meats Research Programme which is funded by a joint SFA/A*STAR research grant.

Key Research Duties and Developmental Roles:

• Identify and procure economically important seafood and fish species that are suitable for the development of permanent cell lines for the “Cultured Meat” Industry.
• Develop and optimize protocols for the establishment and maintenance of primary cell cultures, and their subsequent selection and eventual conversion into permanent stable cell lines from selected tissues (eg. muscle, liver, fins) from seafood and fish species. In addition, there will be efforts to develop embryonic and tissue-specific stem cell lines.
• Develop robust protocols for the differentiation of selected types of stem cells into terminally differentiated cells, and their finally assembly into “Cultured Meat”.
• Identify low-cost but highly effective replacements for Fetal Calf Serum. Engage in the formulation of low-cost culture media suitable for a wide array of non-mammalian species.

If you are a passionate, motivated and highly independent scientist looking for an innovative research position in “Cultured Meat”, please submit your application and detailed CV. Only shortlisted candidates will be contacted for interviews.

Qualifications

Ph.D. degree in Life Sciences or Biology or related fields with strong foundation in mammalian cell culture, preferably with good working experience with embryonic stem (ES) and/or induced pluripotent stem (iPS) cells.

Skills:

• Candidates should possess strong proficiency in the handling and characterization of primary and immortalized cell lines using molecular and cell biology tools (such as cloning, qRT-PCR, RNASeq transcriptome profiling and analyses, immunofluorescence staining).
• A good publication record, with first authorship publications, would be highly desirable.

Experience:

• Candidates should have some knowledge or experience in the handling and culture of divergent cell lines from aquatic vertebrate or invertebrate species. Or experience in the handling of transgenic fishes and gene transfer techniques.
• Candidates with research experience in muscle stem cells (myoblasts or muscle satellite cells) are strongly encouraged to apply.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The hire will focus on computational modelling of metal 3D Printing. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in simulation of 3D printing. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The hire will focus on computational modelling of metal 3D Printing. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in simulation of 3D printing. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The candidate reports to the Head of the NUS School of Computing Research Office and works closely with the research grant administration team to manage both internally funded as well as externally funded research grants from government agencies and industries. The candidate will receive training and the opportunity to carry out assignments in the following areas:

• Act as the primary liaison in the preparation and submission of project proposals, agreements, budget plans and reports.
• Administer research grants and reconcile accounts statements.
• Monitor the research project funds utilization and provide periodic updates.
• Coordinate with grantors, track the receipt of funds, prepare documents for audit and process payments and claims.
• Coordinate the re-appointments of research staff and the engagement of students.
• Liaise with researchers and vendors on the procurement of goods and services.
• Serve as secretariat for meetings and prepare presentation material.
• Coordinate the publicity and logistics preparation for conferences and workshops.

Qualifications

• Bachelor’s Degree with no work experience or Polytechnic Diploma with work experience in a fast-paced, dynamic environment
• Demonstrate initiative and good interpersonal communication skills
• Good writing skills
• Analytical, numerate, resourceful and energetic
• Able to multi-task and deliver under tight deadlines
• Strong sense of customer service
• An initial 2 years' contract will be offered, subject for extension

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

We are seeking a passionate, detail-oriented Research Assistant to assist in community based studies on early detection and prevention of cognitive decline in seniors.

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting research studies according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

1. Coordinate the submission of new ethics applications, study amendments and annual reports.
2. Work closely with principal investigators, research fellows, and program manager to execute studies.
3. Conduct research study activities like participant recruitment, data collection, data analysis and data management
4. Maintain the highest standard of professional conduct and record keeping in accordance with institutional policies, ethics requirements and local regulations.
5. Assist in performing literature searches and producing reviews of the literature to support the delivery of research projects.

Main Duties and Responsibilities

1. Assist with routine preliminary analyses; maintain research data, write summary reports, and report findings to investigator.
2. Provide research updates to study team on regular basis.
3. Assist with any other duties of a similar nature that are delegated by the PI
4. Maintain confidentiality on participants’ data.

This list should not be regarded as exhaustive, and the postholder will be expected to deliver other duties relevant and appropriate to this post.

Qualifications

1. Qualification: Degree in Life Science, Nursing, Psychology or relevant health-related fields
2. Experience or interest in conducting research studies with seniors.
3. Able to work independently and meticulously.
4. Good written and communication skills.
5. Bilingual - Besides English, a good command of Mandarin is preferred as many of our elderly participants speak only Mandarin. Other common Chinese dialects will be an added advantage.
6. Possess strong interpersonal skills.
7. Flexibility to work on weekends (if needed. i.e for outreach events).
8. Team player.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees to this job portal.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for 2 Visiting Research Fellow positions in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Appointments will be made on a 2 years contract basis.

The Department of Diagnostic Imaging (DDI) is the clinical service department in the National University Hospital (NUH). With the formation of the National University Health System (NUHS), both clinical and academic departments come under a common governing structure. NUHS was incorporated on 23 January 2008 to integrate education, research and clinical care.

Purpose of the post

The PI lab aims to develop in vitro diagnostics, in vivo imaging and nanobiotechnology with emphasis on molecular imaging tools and drug and gene delivery techniques. The Visiting Research Fellows will be responsible to, and work closely with, the Principal Investigator and the team members to undertake independent and/or collaborative research and to lead on aspects of research strategy within the lab.

Main duties and responsibilities

The Visiting Research Fellow will be able to:

1. Independently undertake advanced research in the relevant discipline area using, or developing, the appropriate methods and/or techniques;
2. Lead and promote activities designed to develop collaborative research with research colleagues and support staff internally and to actively develop appropriate external contacts and networks relevant future collaboration and funding opportunities; Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Applicants should possess a Ph.D. or M.D (preferably in biochemistry, pharmaceutical sciences, life sciences, radiology or biomedical engineering), with previous experience in designing research projects. A detailed knowledge of molecular imaging probes and/or nanomedicine is mandatory. Ability to design and perform scientific work independently and collaboratively is a must, as is the ability to thrive in a fast-paced environment. Experience with chemistry and radiochemistry, cell culture, animal handling, small animal imaging, and translational research is highly preferred but not required. Motivation and drive to work hard and learn new skills are most important.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

If you are passionate about making a difference in public health and have the necessary qualifications, welcome to join us. We are seeking a highly motivated individual to join our dynamic research team to work on Aedes mosquito-related projects and develop innovative vector control methods. The successful candidate will work on Wolbachia-related experiments using molecular, cellular, and genetic tools. A capable candidate may also have the opportunity to lead their own research project.

Requirements:

· MSc / BSc (Honors) in Biological Sciences or related fields.

· Basic training in molecular biology and biochemistry.

· Ability to work independently and collaboratively as part of a research team.

· Strong organizational and communication skills.

Salary and benefits are commensurable to the educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae and two recommendation letters) to:

Dr CAI Yu

Senior Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note that only shortlisted candidates will be notified)

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research

Fellow in the Department of Microbiology and Immunology, Yong Loo Lin School of Medicine. The successful candidate will be expected to carry out projects in the area of virus-host interactions in the laboratory of Associate Professor Tan Yee Joo (https://medicine.nus.edu.sg/mbio/about-us/our-people/academic-staff/tan-yee-joo.html).

Appointments will be made on a 2 years contract with the possibility of extension.

Purpose of the post

The appointee will be a Research Fellow working closely with a multi-disciplinary team including research scholars and research fellows in the field of virology.

Main duties and responsibilities

We are looking for an enthusiastic and motivated candidate who will be actively involved in performing bench work related to virology, immunology, protein chemistry and cell biology. The Research Fellow will be closely working with collaborators in different departments and external institutions.

Qualifications

• PhD with specialisation in virology or related fields
• Good publication record
• Excellent written and oral communication skills in English
• Highly motivated and self-driven
• Highly independent in data analysis and scientific writing
• Experience in with virus work is preferred
• Experience in with mouse work is preferred

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Department of Microbiology and Immunology, Yong Loo Lin School of Medicine. The successful candidate will be expected to carry out projects in the area of virus-host interactions in the laboratory of Associate Professor Tan Yee Joo (https://medicine.nus.edu.sg/mbio/about-us/our-people/academic-staff/tan-yee-joo.html).

Appointments will be made on a 1 year contract with the possibility of extension.

Purpose of the post

The appointee will be a Research Assistant working closely with a multi-disciplinary team including research scholars and research fellows in the field of virology.

Main duties and responsibilities

We are looking for an enthusiastic and motivated candidate who will be actively involved in performing bench work related to virology, protein chemistry and cell biology. The RA will be closely working with research scholars and research fellows. He/she will be required to assist with any other laboratory duties as delegated by the PI.

Qualifications

• At least a Bachelor's degree (preferably with honours) in Biomedical Sciences or related fields
• Excellent written and oral communication skills in English
• Highly motivated and self-driven
• Interested in science and be able to work well in a team
• Willing to work with virus and mouse model
• Able to assist in laboratory administrative and management tasks including procurement and safety issues.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

STATEMENT OF PURPOSE

To conduct neuropsychological assessments, and to assist in research procedures.

Candidates will gain training and exposure to research skills (running study, data collection, data analysis and communication skill).

DUTIES AND RESPONSIBILITIES

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessment and follow-up of patients and subjects for research purposes/clinic
2. Assist in data entry and data analysis of research projects
3. Obtaining additional or confirmatory clinical data by interviews with caregivers

(B) GENERAL (20%)

1. The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or relevant Background. Candidates in their final year of studies are welcome to apply.

(B) LANGUAGE

1. Must be able to speak English and Mandarin. (We are recruiting personnel to perform Chinese Language cognitive assessment for pure mandarin speaking elderlies)

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We are looking for post-doc applications for the following project hosted at the National University of Singapore (NUS), supported by the NUS AI Institute.

Please include CV, transcript (unofficial is fine), any relevant researcg experience. Only shortlisted applications will be followed up with. Applicants should have a PhD or nearing completion of their PhD. More information about the research group hosting the post-doc can be found from https://nus-tss.github.io/.

Qualifications

• Ph.D. in Computer Science or a closely related field.
• Has prior research experience in machine learning and static methods for program repair
• Excellent research skills, including data analysis, interpretation, and scientific writing.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple tasks effectively.

Understanding the pharmaco/nutrico/toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The following tasks are expected of the candidate:

• Literature search to extract relevant ADME data for chemicals of interest
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts
• Supervise and train students and interns

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

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.

Understanding the pharmaco/nutrico/toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The following tasks are expected of the candidate:

• Literature search to extract relevant ADME data for chemicals of interest
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts
• Supervise and train students and interns

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

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 highly organized, energetic, and proactive Associate/ Senior Associate to join our Corporate Administration team. The ideal candidate will provide comprehensive administrative support for the institute, as well as assisting the Corporate Admin group to ensure the smooth operations of the institute.

Key Responsibilities:

1. Office and Pantry Management:

a. Conduct daily walkabouts to check on office tidiness and cleanliness.

b. Ensure the office and pantry are well-stocked and organized.

c. Order and maintain inventory of office supplies and pantry items.

d. Coordinate with vendors and service providers for office maintenance and pantry supplies.

e. Ensuring tidiness of storerooms and maintenance of storeroom inventories.

f. Perform monthly fridge cleaning.

g. Perform weekly laundry collection and top-ups.

h. Assist with mail collection and courier services.

2. Onboarding/Offboarding

a. Conduct basic orientation briefings for new joiners and creation of onboarding video.

b. Prepare on/offboarding notifications to the relevant parties

c. Conduct the issuance and return of items relating to on/off boarding as well as the update of all relevant trackers

d. Ensure smooth flow of onboarding/offboarding processes and positive experience for staff.

3. Goods Receipt Officer:

a. Verify received goods against purchase orders and perform goods receipt in a timely manner.

b. Ensure proper documentation of goods receipt performed.

c. Coordinate with the requestor and procurement team to resolve any discrepancies.

4. Calendar Scheduling, Travel Arrangements and Booking:

a. Secondary support for ED, as well as covering officer for ED PA.

b. Manage and coordinate calendars for senior management.

c. Schedule meetings, appointments, and conference calls.

d. Resolve scheduling conflicts and ensure timely reminders.

e. Book flights, accommodations, transportation, and other travel-related services for work trips for senior management.

5. General Administrative Support:

a. Provide day-to-day administrative support for the institute.

b. Handle correspondence, prepare documents, and manage office communications.

c. Perform filing, data entry, and maintenance of office records and trackers.

d. Assist in coordination of meeting and venue bookings by internal and external parties.

e. Maintenance and updating of the SIFBI Intranet.

f. Assist in event logistics, setup of event venues, manage attendee lists, and any other required tasks to ensure a smooth flow of activities.

g. Any other administrative duties assigned.

Job Requirements:

Qualifications & Field of Study: Diploma or Degree, any discipline

Min. Years of Experience: 1

Other Requirements (e.g. Skills, Competencies):

· Experience in an administrative role.

· Tech savvy and comfortable with learning new applications independently.

· Experience with using Pigeonhole, Mentimeter, Kahoot, FormSG and similar applications will be beneficial.

· Flexible and adaptable in dealing with unexpected challenges.

· Excellent organizational and multitasking skills.

· Strong written and verbal communication abilities.

· Proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint).

· Ability to handle sensitive information with confidentiality.

· Meticulous and attention to detail.

· Ability to work independently and as part of a team.

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Assistant with working experience in research projects and familiarity with social science research methods. The selected incumbent is expected to

• Conduct and summarise academic literature reviews.
• Analyse data and synthesise information from research findings.
• Disseminate research findings through academic publications, research presentations, and outreach activities.
• Assist in planning and executing tasks to achieve project deliverables.
• Liaise with project stakeholders.
• Perform other tasks as assigned.

Interested applicants should complete and submit the following documents:

• CV, including a list of your qualifications, publications, previous experience and a brief description of your achievements.
• Any other documents that demonstrate your qualifications.

Qualifications

• Possess a Bachelor or equivalent degree in education, psychology, social sciences, or a related field.
• Working experience in research projects and familiarity with research methods.
• Proficiency in qualitative analysis.
• Excellent interpersonal and communication skills, both written and spoken.
• Keen attention to detail.
• Strong, self-directed initiative and ability to take on challenges
• Able to work independently.
• Ability to work with colleagues within a team.
• Preferably with relevant knowledge major theories in learning sciences (e.g., collaborative learning; educational technology).
• Experience with quantitative analysis is not necessary but will be advantageous.
• Experience conducting independent research (e.g., an honours thesis project, an independent study) is strongly preferred, but not required.
• Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open immediately in the Department of Mechanical Engineering, National University of Singapore. Successful candidate is expected to work in the field of AI for Science. Especially, the work is to develop advanced AI models for computational physics and computational materials applications. The candidate will also conduct calculations using DFT and/or AIMD for generating training dataset.

Qualifications

Candidates should have a master’s degree in physics, Materials Science, Electrical Engineering, Mechanical Engineering or a closely related field. They should also have excellent communication skills, both oral and written, and able to guide undergraduate students to conduct projects. Successful candidate is expected to perform DFT/AIMD calculations to understand the underlying physics for explainable AI model development. The candidates have higher priority if they have the background of the AI for Science.

Overview

The Consortium for Clinical Research and Innovation, Singapore (CRIS) brings together six national R&D, clinical translation and service programmes to advance clinical research and innovation for Singapore, and establish important capabilities for a future-ready healthcare system.

The Business Entities under CRIS include:

• Singapore Clinical Research Institute (SCRI)
• National Health Innovation Centre (NHIC)
• Advanced Cell Therapy and Research Institute, Singapore (ACTRIS)
• Precision Health Research, Singapore (PRECISE)
• Singapore Translational Cancer Consortium (STCC)
• Cardiovascular Disease National Collaborative Enterprise (CADENCE)

Together, CRIS makes a positive difference to Singapore patients and researchers by ensuring that these clinical research platforms and programmes are at the cutting edge of capability development and innovation. If you are as passionate as we are in clinical trials and research, we want you!

ACTRIS

The Advanced Cell Therapy and Research Institute, Singapore (ACTRIS) was established to meet the increasing clinical demand of using cellular therapeutics to treat various life-threatening diseases. ACTRIS’ vision is to be the national and regional Centre of Excellence for discovery, process development and manufacturing of cellular-based therapeutics across the broad spectrum of immunotherapy and regenerative medicine, encompassing both investigational and approval products for the local market. We also provide value-added services such as workforce training, regulatory facilitation and ancillary material standardization, pertaining to delivery of cellular therapy to patients.

What you will be working on

Manage Facility:

• Ensuring that the facility is in compliance with GMP regulations. This includes developing and implementing procedures and processes, maintaining accurate and up to date records and documentation, conducting regular audits to ensure compliance, reporting incidences and preparing reports and data as required by management or to regulatory authorities.
• Assist to manage equipment- and system-related investigations, CAPAs, deviations change controls and to review records.
• Scheduling routine maintenance with service vendors for maintenance of the facility and lab & production equipment to be done on time, including preparing User Request Specification (URS), obtaining quote and following up on PO issuance.
• Ensuring proper & timely maintenance, calibration and operation of all equipment, facility M&E, safety and security equipment such as HVAC, CCTVs, access control, etc.
• .Manage HVAC systems and configuration within the GMP environment.
• Managing contractors and stakeholders to ensure regulatory & safety requirements, operating standards, established protocols and the service level requirements of integrated facilities management are met.
• Partner with key stakeholders to meet user requirements and optimal functioning of all laboratory & production and building spaces.
• Responsible for managing the Building Management System, Environment Monitoring System and the facility SMS alarm including responding to environmental deviations and alarms promptly, investigating root causes, and supporting implementation of corrective actions to maintain compliance. Assist with Facilities / Engineering initiatives with cross-functional team leaders, following cGMP regulations and internal procedures in accordance with applicable regulatory standards.

Maintain workplace safety & health (WSH):

• Adhere with WSH management system and risk management plan, conducting regular safety inspections, addressing safety concerns, and coordinating with security personnel to prevent unauthorized access or other security threats.
• Evaluate WSH non-compliance, unsafe work conditions and practices to identify WSH performance gaps.
• Manage risk in the workplace, recommend, implement actions, and review effectiveness of measures to improve WSH performance and control risks.
• Conduct incident investigations and make recommendations to address root cause of incidents.
• Managing any other operational related duties/projects as assigned.

What we are looking for

1. EDUCATION, TRAINING

· Diploma equivalent Facilities Related, Engineering, Occupational Safety and Health or related fields

2. EXPERIENCE

· At least 5 years relevant working experience in managing Good Manufacturing Practice (GMP) facilities/ cleanrooms and BMS (Building Management System).

· Good knowledge of Mechanical and Electrical systems supporting GMP environment.

· Fire Safety and biosafety related knowledge / experience will have an added advantage.

· Effective stakeholder management and good communication skills.

· Good team player with positive work attitude.

· Ability to multi-task and work independently

What you need to know

Successful candidate will be offered a 3-year contract, renewable. We regret that only shortlisted candidates will be contacted. For more information about CRIS and the Business Entities, visit our websites below:

• CRIS – https://www.cris.sg
• SCRI – https://www.scri.edu.sg
• NHIC – https://www.nhic.sg
• ACTRIS – https://www.actris.sg
• PRECISE – https://www.npm.sg
• STCC – https://www.stcc.sg
• CADENCE – https://www.cris.sg/our-programmes/cadence/

Job Description

Responsibilities

• Responsible for leading and managing large research projects that may involve multiple research institutes and industry partners, covering different technology and industry sectors
• Collaborate with Principal Investigator, organise and lead project reviews including project administrative matters
• Adhere to project management framework over the project life cycle to manage progress, schedule, and risk, and ensure deliverables meet project objectives
• Manage project dashboard, drive workflow automation and improvement
• Engage stakeholders effectively to ensure close collaboration and alignment towards project goals

Requirements

• Bachelor's degree in Engineering or Science, or higher qualification with 8 years of experience related to project management
• Familiar with project management methodologies, best practices, and problemsolving skills
• Proven track record in managing full project cycle from project kick off, to execution and till project closing successfully
• Good technical background, excellent organizational skills including attention to details
• Strong communication and interpersonal skills to manage internal and external stakeholders
• Individuals without the mentioned prerequisites will be evaluated based on their strong willingness to acquire new skills

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.

Job Description

Responsibilities

• Responsible for leading and managing large research projects that may involve multiple research institutes and industry partners, covering different technology and industry sectors
• Collaborate with Principal Investigator, organise and lead project reviews including project administrative matters
• Adhere to project management framework over the project life cycle to manage progress, schedule, and risk, and ensure deliverables meet project objectives
• Manage project dashboard, drive workflow automation and improvement
• Engage stakeholders effectively to ensure close collaboration and alignment towards project goals

Requirements

• Bachelor's degree in Engineering or Science, or higher qualification with 5 years of experience related to project management
• Familiar with project management methodologies, best practices, and problemsolving skills
• Proven track record in managing full project cycle from project kick off, to execution and till project closing successfully
• Good technical background, excellent organizational skills including attention to details
• Strong communication and interpersonal skills to manage internal and external stakeholders
• Individuals without the mentioned prerequisites will be evaluated based on their strong willingness to acquire new skills

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.

Introduction

The Singapore-ETH Centre (SEC) is home to a community of doctoral, postdoctoral and professorial researchers working in three main programmes: Future Cities Laboratory, Future Resilient Systems, and Future Health Technologies. The centre provides a multicultural and interdisciplinary environment to researchers working on diverse themes, with the shared vision of translating research to practical solutions for more sustainable and liveable cities, resilient physical and social urban systems, and patient-centric healthcare systems.

Project background

In collaboration with the Nanyang Technological University (NTU), the National University of Singapore (NUS), Duke - NUS, the National Health Group (NHG), National University Health System (NUHS), and SingHealth, SEC runs a research program on "Future Health Technologies (FHT)". In this programme, multidisciplinary teams develop a future-oriented mobile digital health concept which combines scientific and technological innovations with clinical, industry and other stakeholder needs. It tackles care for the increasing number of patients suffering from chronic diseases, particularly diabetes, obesity and stroke. Leveraging on scalable digital technologies, the team aims to transform the healthcare system towards a community-based and patient-centric model along the continuum of care. Within this framework we are announcing the following job opening. The workplace is Singapore.This role is Singapore-based and positioned within the leadership team of FHT. The position is highly related to collaborating with entire FHT and SEC team. Collaboration and cooperation are key skills.

Job Summary:

We are seeking a dedicated and organized Research Assistant (RA) to support our cutting-edge mHealth intervention project. This role is integral to the successful execution of an innovative study design using Sequential Multiple Assignment Randomized Trials (SMART) to evaluate the effectiveness of a holistic mHealth intervention. The RA will assist with various aspects of the study, including participant management, data entry, monitoring survey completions, and providing onsite assistance during study visits. This role not only offers the opportunity to contribute to groundbreaking research but also allows for significant professional growth in a rapidly evolving field.

Key Responsibilities:

• Participant Management:
  • Answer participant queries via email and other communication channels.
  • Send reminders to participants for online survey completion.
  • Distribute digital vouchers based on survey completion for participants.
• Data Management:
  • Enter data from hard copies of questionnaires, consent forms, and checklists.
  • Organize and manage participant consent forms.
  • Create and maintain the overview of trial file.
• Onsite Support:
  • Assist with onboarding and handling operational queries.
• Survey Monitoring:
  • Monitor online survey completions for participants.
  • Prepare lists and reports for the research team based on survey completions.

Qualifications:

• Minimally a bachelor's degree with at least one year of experience.
• Strong organizational skills and attention to detail.
• Experience with survey tools (e.g., LimeSurvey) and data entry.
• Good communication skills, both written and verbal.
• Ability to work independently and as part of a team.

Applications via email or postal services will not be considered.

The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.