We are seeking to recruit a highly motivated Research Fellow/Research Scientist to support the institute’s overall Research and Innovation goals.

Job Description:

The Research Fellow/Research Scientist will be responsible for engineering novel CAR-NK cells with superior anti-tumor efficacy, enhanced tumor infiltration, and excellent resilience against the suppression by the tumor microenvironment.

Job Requirement:

• PhD in Immunology or Cell Biology
• Possess at least a minimum of 2 years relevant work experience
• Substantial background and publication records in cancer immunology, particularly on T and NK cells
• Experience working with patient-derived samples and experimental models
• Good organisational, verbal and interpersonal skills
• Exhibit ability in mentoring and leading the project

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.

Patient Service Associates (PSA) provide frontline counter services to patients. PSA is to assist patients by checking patient’s service/order requirement, managing patient queues, handle basic enquiries (e.g. appointment booking) and to provide administrative support to medical technologists and radiographers.

Job Responsibilities:

• Responsible for reception of all appointment and walk-in patients at the Diagnostics counters
• Ensure 2 patients’ identifiers (NRIC & Name) are verified for all patients when handling patient registration electronically (i.e. EPIC, LIS, RIS, POS, BSS.) and verifying tests ordered by doctors.
• Accurate appointment scheduling / booking and registration for eligible mammogram patients via Breast Screen Singapore (BSS) portal
• Registration of mammogram patients are done accurately via BSS portal, including updating of patient particulars such as mailing address and contact number.
• Relevant instructions are communicated effectively to patients prior to their procedures/tests, chaperon patients to changing or counselling room where applicable.
• Handle enquiries and provide prompt and courteous service delivery to internal and external customers.
• Responsible for payment collection when assigned to cashier duties and ensure tally of end-of day sales with cash settlement and other transaction records.
• Ensure Medisave Authorization Forms (MAF) are filled in accurately with patients’ endorsement and approval, and all Medisave transactions are captured accurately in EASIPOS
• Accurate application of promotions and discount vouchers appropriately and to validate its utilization via EASIPOS
• Support administrative function to centre in-charge including but not limited to dispatching of lab and x-ray reports, proper record and documentation of courier services.
• Performing duties as assigned by reporting officer
• Meet customer service and quality KPI as determined by department
• Follow up and support reporting officer in handling patient relation issues
• Adhere to policy and standard operating procedure
• Accurate and meticulous in performing cashiering duty when assigned

Job Requirements:

• GCE “A”/ “O”/ “N” levels or Higher / NITEC qualification
• Service-oriented and patient-focused
• Proactive and resilient with the ability to work independently and in a team
• Ability to multi-task and work in a fast-paced environment
• Good writing, interpersonal and communication skills
• Aspire for service excellence and process improvements

Additional Information:

Working Hours : 42 hours/week (5.5 days work-week)

Working Location : NUHS Diagnostics Clinics (within National University Polyclinics at the Western region of Singapore)

Associate Medical Laboratory Technologists (AMLT) are responsible for the daily operations of the laboratory which include phlebotomy, electrocardiogram, spirometry and clinical laboratory work.

Responsibilities

• Perform daily operations of the laboratory
• Perform all procedures in accordance with laboratory standard operating procedures (SOPs)
• Perform phlebotomy, Electrocardiogram (ECG) and spirometry in an accurate, efficient and professional way.
• Perform Point of Care Testing (e.g. Prothrombin Time, glucose) and clinical laboratory tests such as urinalysis (e.g. Urine FEME, dipstick, pregnancy), haematology (e.g. full blood count, peripheral blood film, erythrocyte sedimentation rate, prothrombin time), biochemistry (e.g. HbA1c, neonate bilirubin), microscopy examination (e.g. fungal smear, high vaginal swab) independently.
• Ensure specimen identification, processing and storage of test specimens are in consistent with good laboratory practices
• Perform and verify quality control for all analysers prior to patients sampling
• Use of Laboratory Information System (LIS) to perform functions such as result entry, result validation and tracking for outstanding tests
• Ensure all test results provided for clinicians are accurate and reliable
• Ensure analysers/equipment are functioning properly and are well maintained.
• Notify medical technologist/lab in charge when instrument malfunction and make arrangements with BME or instrument vendor to service the instrument
• Notify inventory person in charge when reagents and stocks supplies run low.
• Perform and record internal and external quality controls and calibrations. Troubleshoot outliers in accordance to work instructions.
• Ensure ‘critical value’ are reported to the relevant personnel within 30 minutes
• Ensure daily maintenance and QC records are up to date.
• Ensure compliance to hand hygiene, workplace safety, International Patient Safety Goals (IPSG) and International Standardization of Organizations (ISO) and other applicable regulatory and accreditation requirements of the laboratory.
• Provide prompt and courteous service in person or over telecommunication to all external and internal customers (e.g patients, doctors, service providers, colleagues).
• Report adverse incidents and all workflow anomaly to supervisor
• Observe strict NUHS personal data protection act and observe internet/intranet cybersecurity guidelines.
• Perform other functions as delegated by supervisor and/or lead laboratory

Requirements

• Recognized Diploma in Biomedical Science, Clinical Laboratory Science or other relevant fields
• At least 1-3 years of experience in laboratory environment and/or relevant experience in phlebotomy preferred
• Good verbal and written communication skills
• Ability to communicate in vernacular languages are an added advantage
• Ability to multi-task and work in a fast-paced environment
• Team player with good interpersonal skills

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 successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 highly motivated and competent research assistant to work on research focusing on peptide crystallization as a versatile platform technology for delivering biocompatible nanomaterials. The successful candidate will help with lab management and support ongoing research activities.

The main responsibilities of the position include:

a. Lab safety, ordering, and lab management (30%)

• To serve as a lab safety lead.
• To be responsible for lab ordering.
• To organise chemicals and consumables in the lab and update the inventory.
• To create and review standard operation protocols (SOPs) and risk assessments (RAs).
• To ensure cleanliness and tidiness of the lab.

b. Research tasks (70%)

• To perform peptide synthesis and characterization of synthesized peptides.
• To perform peptide crystallization and characterization of crystallized peptides.
• To test bioactivity of protein/peptide using bioassays.

Qualifications

Qualifications / Discipline:

• Bachelor’s degree in biology, microbiology, pharmacy, pharmaceutical science, chemistry, life sciences, materials science, bioengineering, chemical engineering, or related field.

Skills:

• Excellent time and project management skills.
• Excellent communication skills and great ability in written and spoken English.
• Be able to work independently and be a team player.

Experience:

• Experienced in bioassay preparation and handling.
• Experienced in crystallization and crystal characterization.
• Experienced in powder processing and characterization.
• Experienced in tablet preparation and characterization.
• Experienced in data analysis using softwares such as R, MatLab etc.
• Experienced in report writing and presentation preparation.

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Career in the Hospital

Join our incredible team at the National University Hospital (NUH), where we believe that a hospital is more than just a workplace. Every day, we witness the remarkable impact that our healthcare professionals can have on individuals, families, and entire communities.

At NUH, we are driven by a shared purpose – to lend a helping hand to those in need, to be a source of support and healing, and to empower patients to live their best lives.

We are looking for passionate and committed individuals to join us as we transform lives and create a lasting impact in the lives of our patients. The impact you make at NUH will be profound, regardless of the role you take up in the hospital.

About NUH

The National University Hospital (NUH) is Singapore’s leading university hospital, with a proud heritage dating back to 1905 with the establishment of what’s now the NUS Yong Loo Lin School of Medicine.

Our strong ties with the medical school have shaped us into a unique institution, allowing us to seamlessly integrate clinical care with teaching and research. As a university hospital, we go beyond the realm of providing tertiary medical care.

We are a hub of knowledge and innovation, attracting healthcare professionals who are passionate about pushing boundaries and making significant contributions to the field.

About Department and Purpose of the Position

We are seeking a dynamic, resilient, and highly dedicated Patient Service Associate to join our Specialist Outpatient Clinics (SOC).

As a Patient Service Associate, you will deliver friendly, efficient customer service and create a warm and welcoming atmosphere for our patients and visitors, with the key aim of providing excellence patient care and satisfaction.

Key Responsibilities

Counter Assistant

• Perform registration and screening of patients, with accuracy and no data breach.
• Ensure accurate billing and timely collection of payment on the same day.
• Ensure compliance to clinic facilities readiness, e.g., Patient waiting area and Self-Service Kiosks
• Ensure clinic is ready to serve its first patient 15 minutes before scheduled appointment time.
• Participate in quality improvement project (e.g.: 6S, RIE, service improvement project).

Other Duties and Responsibilities

• Practice NUH Service Acts – “G.O.O.D” to enquiries from patients and/or NOK.
• Ensure compliance to SOC Operations Standards.
• Handle patients’ feedback and ensure timely escalation to Service Team Leader/ Service Executive whenever necessary.
• Be ready for deployment across all clinics.
• Engage patients on the use of Self-Service Kiosks and OneNUHS mobile application.
• Adhere to clinic/department and hospital policy and procedure (e.g.: SOP)
• Assume any other responsibilities tasked by the Clinic/Nurse Manager, Service Team Leader and/or Service Executive (e.g.: admin support duties, statistics etc.).

Room Assistant

• Assist clinicians and/or therapists for a smooth clinic consultation.
• Ensure proper care and coordination and coordinate first/follow-up appointments for patients.
• Manage wait time and keep patients updated in a timely manner.
• Monitor and clear EPIC Workqueue on same workday.

Key Requirements

• Minimum “N” Level.
• Healthcare or service or related industry is preferred but not required.
• Proficient in computer skills.
• Team player with good communication and interpersonal skills.
• Able to multitask and work in a fast paced environment.
• Required to work 2 to 3 days (at least 21 hours) per week

Closing & Applications

When you join NUH, you become part of a dynamic and collaborative environment where expertise, knowledge, and compassion all come together.

Working in healthcare offers satisfaction that extend far beyond the ordinary. The smiles of gratitude from patients and the profound sense of fulfilment that comes from helping others cannot be measured. It is a career that allows for both personal and professional growth. The challenges you encounter in this rapidly evolving industry push you to constantly expand your knowledge and skills, as well as encourage lifelong learning.

Be a part of a team that gets to create a transformative healthcare experience for our patients and professionals alike.

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future.

Our PPD® Laboratory Services team has a direct impact on improving patient health through the expertise of scientists, industry thought-leaders and therapeutic experts. As the world leader in serving science, our laboratory professionals bring their commitment to accuracy and quality to deliver groundbreaking innovations.

Office Location: 61 Science Park Rd, 117525, Singapore

Work Setting: Fully On-site (5 times a week on-site)

Work Shift Schedule: Tuesday to Saturday (Happening in 2 Phases)

Phase 1 - First 3 to 6 Months (Starts 1pm to 10pm)

Phase 2 - After 3 to 6 Months (Starts 4pm to 1am)

Shift Allowance:

Phase 1 - SGD 350/month

Phase 2 - SGD 700/month

Discover Impactful Work:

Performs duties and training to acquire the skills required for sample and standard handling in support of the laboratory. Provides support to Sample Coordinator and performs administrative tasks in the Sample Management department. Follows SOPs, applicable client procedures, and fulfills laboratory requests with modest direct supervision.

A day in the Life:

• Performs a variety of simple inventory tracking procedures (receipt, check-in, login, labeling, inventory, transport, check-out, etc.) and administrative tasks in support of laboratory operations.
• Communicates status of tasks to supervisor and/or appropriate laboratory staff.
• Trains on SOPs, regulatory guidelines, and storage requirements.
• Supports response to environmental unit alarms and may participate in on-call responsibilities.
• Performs daily work assignments accurately, timely and in a safe manner.

Keys to Success:

Education

• High / Secondary school diploma or equivalent and relevant formal academic / vocational qualification
• Technical positions may require a certificate

Experience

• Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 0 to 1 year) or equivalent combination of education, training, & experience.
• Years of experience refers to typical years of related experience needed to gain the required knowledge, skills, and abilities necessary to perform the essential functions of the job. Years of experience are not to be used as the only determining factor in establishing the job class or making employment selection decisions.

Knowledge, Skills, Abilities

• Familiarity with Microsoft Office including Word and Excel
• Time management skills
• Ability to maintain detailed tracking and documentation clearly and accurately according to SOP
• Written and oral communication skills
• Ability to work in a collaborative team environment

Working environment

Thermo Fisher Scientific values the health and wellbeing of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive. Below is listed the working environment/requirements for this role:

• Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
• Able to work upright and stationary and/or standing for typical working hours.
• Able to lift and move objects of 15 to 40 pounds
• Able to work in non-traditional work environments.
• Able to use and learn standard office equipment and technology with proficiency.
• May have exposure to potentially hazardous elements, including infectious agents, typically found in healthcare or laboratory environments.
• Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
• Exposure to fluctuating and/or extreme temperatures on rare occasions

Regulatory Affairs Associate

1 year contract, potential to renew

Come and join us!

Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing?

“FIND YOUR PLACE” by joining a world-class MNC Healthcare company

Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.

Company Description:

Our client is an MNC Healthcare company. As a focused healthcare company, with expertise in Innovative Medicine and MedTech, they are empowered to tackle the world’s toughest health challenges, innovate through science and technology, and transform patient care.

Job Description

The Regulatory Affairs Associate is a member of ASPAC Special Project. He or she is responsible for actively contributing to the regulatory compliance of medical devices. He or she is also responsible for data integrity and maintenance across multiple regulatory systems.

This position reports to the Special Project RA lead (SEA cluster).

Responsibilities

1. The Regulatory Affairs Associate main responsibility is to support the ASPAC markets on MedTech regulatory affairs matters.
2. Creation and maintenance of regulatory information in Regulatory Database system.
3. Creation of routine reports to ASPAC markets related to regulatory compliance matters (submission schedules, eligibility and etc.).
4. Creation of routine monthly Performance metrics report to ASPAC markets using basic IT skills
5. Extended roles in providing administrative support to local Singapore Regulatory Affairs MedTech department, including RA database update, data analysis and local database maintenance.

Requirements

• A minimum Bachelor’s degree in any Business or Science Field
• Good at Power BI, MS Word, MS Excel, MS Power Point
• Has a strong sense of responsibility on meeting due/target and quality/integrity/accuracy of the output
• The incumbent must have the ability to work effectively without supervision and process requests/work within required timeframes.
• Strives to acquire a deeper understanding of medical and scientific and technological developments.
• Views new and ambiguous challenges as a learning opportunity
• Leadership Competencies:
• Assists and supports others in interactions with team members and internal stakeholders by partnering and collaborating with them effectively.

Interested parties, please apply through this link https://jnj-apac.talent-pool.com/projects OR click on APPLY button.

Alternatively, you can share your CV at [email protected]

EA License: 94C3609

Reg No: R1440247

Associate Financial Analyst (Process Solution)

12-month contract

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

About This Role:

You will support and work hand in hand with the Financial Planning and Analysis team for the Southeast Asia region under the guidance of the Commercial controller. The Financial Planning & Analysis (FP&A) organization plays an important role as trusted business partners to businesses, supporting all analysis, reporting, and business planning needs. The team produce budgets, forecasts; create and analyze business metrics and identify cost savings opportunities; deliver economic insight into the relationships between costs and revenues to improve the financial success of the business going forward.

Key Responsibilities:

• Assist in handling day to day deliverables, weekly sales landing, monthly analysis & periodic forecasts exercises
• Assist in downloading, collecting, compiling, verifying information to provide controller with accurate and timely information for decision-making.
• Work with Client’s Business Services team to ensure accurate month end closing and follow up on clarifications.
• Drive & manage Capital expenditure (CapEx) reporting processes as well as collaborate with relevant teams for APAC CapEx projects.
• Any other ad hoc duties as required by APAC commercial controlling team

Requirement:

• Diploma or bachelor’s degree in finance or accounting or related fields
• Proficient in the use of MS Excel (Vlookup, Pivot) and MS Power-point.
• Understanding of management accounting with strong understanding of financial statements (P&L, Cash Flow, and Balance Sheet).
• A self-starter, curious, forward thinking and innovative.
• Possess strong, logical, and analytical thinking skills with attention to detail and accuracy.
• Hands-on team player who possesses a can-do attitude and is able to handle ambiguity.
• Good interpersonal skills with the ability to communicate effectively across all levels and build good working relationships.

Reg No: R22104540

EA License no: 94C3609

Job Description

Sea group is seeking research scientists to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, machine learning, computer vision, etc. The role of a research scientist is to design novel models and propose new general-purpose algorithms that help machines perceive, think, and act in the world. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

• Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); 3D computer vision; network architecture design; generative models; large-scale optimization;
• Research on long-term ambitious goals, while laying out intermediate milestones;
• Publish influential research work on top conferences and journals;
• Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements

• Previous research experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
• Holding a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
• Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
• (Preferred) Track record of high impact research (e.g. multiple papers with 100+ citations);
• (Preferred) Received best paper or equivalent awards in the aforementioned conferences;
• (Preferred) Winner of international academic competitions.

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 Assistants to join our projects in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Our projects are primarily focused on exploring the role of neuroimaging in the clinic, facilitated by quantitative analysis including machine learning, with a focus on neurodegenerative diseases (e.g. Alzheimer's and Parkinson's disease), with a small focus on brain tumor imaging. The title of the current major project is <Development of a data-driven imaging biomarker for Alzheimer's disease>. The main objective of our ongoing research is to develop and validate data-driven imaging biomarkers to predict the prognosis of Alzheimer's disease dementia in elderly individuals by harmonizing established Alzheimer's disease research datasets and retrospective local institutional datasets.

The primary responsibilities of the Research Assistant will revolve around data management and administrative tasks, as described below:

Key Responsibilities

Database management and basic analysis:

- Download and integrate imaging and other non-imaging data into our research database.

- Perform basic neuroimaging processing and analysis using our existing R / Python pipeline. The role could extend to pipeline customization if the RA shows an interest and aptitude for image analysis work.

- The role could extend to basic statistical analysis and machine learning tasks using pre-built code, under the guidance of the PI and AI expert research staff, if the RA shows interest and aptitude for the above tasks.

Administrative tasks:

- Assist with ethical application processes for access to public datasets such as UK Biobank, ADNI, etc. and ensure compliance with institutional/university IRB procedures.

- Provide general administrative and secretarial support to the project, such as coordinating meetings, procurement, etc.

Assist in the preparation of scientific documents:

- Conduct literature searches, assist in the preparation of manuscripts, grant proposals/reports, and other scientific documents under the direct supervision of the PI.

Qualifications

Interested candidates should: (a) Have an undergraduate degree with good grades or a Master's degree in life sciences, engineering, or related fields; preferably, but not required, with some experience in dry lab or imaging research (b) Have basic programming skills in R and Python (ability to use code written by others under guidance) (c) Have fluent oral & written communication skill (d) Demonstrate the ability to work independently and as part of a team, and show investigative tendencies and attention to detail.

Compensation will be commensurate with the candidate's qualifications and experience. Only shortlisted candidates will be contacted.

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 successful candidate will work with Sun, Ji in a research project on Structural Study of KCNQ1 Channel Pharmacology

The main responsibilities of the position include:

1. Cell culture
2. Daily lab operation like medium preparation
3. Molecular cloning
4. Protein purification
5. Other duties related to daily lab operation and equipment maintenance

Qualifications

M.S. in Biology, Biochemistry or Cell biology

Skills:

• Good communication skills
• Biochemistry: protein expression and purification
• Molecular biology: molecular cloning

DesCartes Program (work package 9) is looking for research assistant in UI/UX design and library development. The objective is to develop a user interface and implement libraries as required for the DesCartes Builder, a novel open-source framework for designing, validating, and integrating innovative hybrid AI models and methodologies.

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

DESCRIPTION

To facilitate the development of the next generation of urban systems, the DesCartes Program is currently developing a software framework that brings together AI components, physics models and data, modelization and control aspects. This framework, the DesCartes Builder, shall play an integral role in developing robust hybrid AI pipelines, as required for the design and deployment of digital twins of urban applications. As a research assistant, you will play a key role in developing the Builder:

• Craft a user-friendly interface:Design an intuitive interface that allows users to define, manipulate and execute the hybrid AI pipelines with flexibility and ease.
• Develop reusable components: Create robust and reusable libraries that will form the foundation of the DesCartes Builder framework.

EXPERIENCE & QUALIFICATIONS

• Minimum Requirements Bachelor or Master in computer science or engineering.
  A first relevant professional experience (master, internships…).
• Required Skills: Rigor, ability to work with autonomy and with a results-oriented mindset.
  Good interpersonal and communication skill; teamwork.
  Knowledge of Python and basics of machine learning
  Basics of UI/UX design
• Preferred Skills: Strong software engineering skills and development methodologies
  Experience with UI/UX design and UI libraries such as Qt,
  Knowledge of C++ & software optimization,
  Experience with Linux development environment (bash, make, etc.),
  Familiarity with machine learning and deep learning libraries (PyTorch, scikit-learn, etc.).
• Keywords: software engineering
  user interface
  library development
  human computer interface
  machine learning
  artificial intelligence

FURTHER INFORMATION & CONTACT

Gross Monthly Salary Range (SGD): 5,500 to 8,000 (depending on suitability and experience).

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

Interested applicants, please send your application to:

• Blaise Genest (Prof): [email protected]
• Eduardo de Conto: [email protected]
• DesCartes – Hiring: [email protected]

Please send your application as a single PDF file including CV, cover letter and name/contact (including email addresses) of two referees.

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 Visiting Associate Professor will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the trial on time. Timely input on projects related to design and implementation of interventions focused on learning and school readiness.

Main duties and responsibilities

Oversee the general management of the project;

1. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
2. Assist with any other duties assigned by the Department.

Qualifications

The applicant should:

• Have a PhD in Education or related disciplines; preferably with experience in research;
• be able to work independently and in a team, have an investigative nature, attention to detail; and
• have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint.

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

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

Duties & Responsibilities

• Manage assigned projects on NUS campuses (planning, design development, procurement, contracts administration, site supervision, liaison with various stakeholders, testing and commissioning, management of project account and defect liability issues.)
• Ensure that projects complete within schedule and approved budget and is properly handed back to the NUS user and over to the maintenance team at Asset Enhancement section, CAM.
• Work closely with the consultants and ensure that projects comply with NUS's policies and guidelines.
• Provide progress updates on assigned projects for routine/ ad-hoc management reporting.
• Assist in any other duties as assigned.

Qualifications

• A good bachelor’s degree or master’s Degree from a recognized University, preferably in area of Architecture/ Engineering/Construction Management/ Quantity Surveyor, and registrable with the Board of Architectures (BOA) Singapore; Professional Engineers Board (PEB) Singapore and/or Singapore Institute of Surveyor and Valuers respectively.
• Minimum of 8 years of relevant working experience in construction project coordination, design management, contract administration, project management and defects management.
• Experience in consultancy services will also be considered.
• Experience in handling new building development or Addition & Alteration (A&A) projects.
• Knowledge in local regulations; working knowledge of the authorities’ submission requirements.
• Resourceful with excellent communication skills
• A team player with a positive attitude and drive.

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 (NUS) invites applications for Assistant/Associate-level Professorship at the Centre for Translational MR Research (TMR) in the Yong Loo Lin School of Medicine. This is a tenure-track position with 12-month salary 100% paid by the university.

The Yong Loo Lin School of Medicine (YLLSOM) is a leading research institution in the world, being ranked in the top 20 worldwide and holds the top position in Asia (QS ranking). Established in 1905 to educate and train medical professionals for Singapore, YLLSOM hosts more than 40 departments in the basic sciences and clinical specialties, as well as faculty research centres and Translational Research Programmes covering a full spectrum of medical specialties.

If hired, the Professor will be part of the Centre for Translational MR Research (TMR), which offers state-of-the-art Magnetic Resonance Imaging (MRI) capacity for both clinical and translational research. TMR is staffed with trained personnel to support research in imaging and image analysis, spanning from basic science to clinical trials. More information is available at https://medicine.nus.edu.sg/tmr/.

The Professor is expected to lead an independent research program and make significant contributions to one of the following research areas including, but not limited to:

• Magnetic Resonance Imaging (MRI) acquisition, preprocessing and analysis
• Multi-modal and multi-body imaging (especially cardiac, neuro and metabolic areas)
• Machine learning of brain and body MRI

The Professor can be affiliated with the Department of Medicine, Department for Diagnostic Radiology, Departments of Pharmacology or Department of Physiology within the Yong Loo Lin School of Medicine and work closely with Centre for Sleep and Cognition and Clinical Imaging Research Centre (with MR-PET facilities). Joint appoint with College of Design and Engineering, NUS, is also possible. He/ She will have access to a network of basic and clinician scientists to collaborate with to support research studies.

The Professor will have access to 2 research-dedicated 3T MRI scanners, EEG/eye tracker, digital wearables, and high-performance computing infrastructure. Pay scales are similar to those in the United States. Start-up package will also be internationally attractive.

Applicants should submit cover letter, CV, research (max 3 pages) and teaching statements (max 3 pages), and three references (with names and contact details). Only shortlisted candidates will be invited for interview.

Job Description

We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields, Knowledge or experience in cyber security, network security, system security using Artificial Intelligence
• Knowledge or experience in cybersecurity, network security, or system security using AI
• 2-3 years of working experience in related research areas is a plus
• Publications in top-tier security venues (IEEE S&P, NDSS, USENIX Security, ACM CCS) are expected
• Proficient with DL programing frameworks in Python
• Strong interest in AI for Cybersecurity
• Ability to work independently, as well as in teams - highly desired
• Ability and willingness to learn and adapt - highly desired
• Good team player with both research and engineering ethics
• Good interpersonal skills and communication skills for proposals, reports, and publications

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

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. The ideal candidate need not specialise in all three aspects, but should be technically strong in at least one of these areas.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry.
• Expertise in T-cell engineering highly preferred.
• Interested in data and computation.
• Solid publication record and strong scientific writing skills.
• Strong motivation and energy to lead project.
• Good organisational, verbal and interpersonal skills.
• Need to be a team player.
• Keen to learn

Job Description

The Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of 5 years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

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

The Research Fellow in Computational Immunology/Bioinformatics will play a key role in advancing our research projects by conducting expert analyses of next-generation sequencing (NGS) data. This includes single-cell RNA sequencing, T-/B-cell receptor analysis, long-read sequencing, and spatial omics analysis using imaging data. The fellow will have the opportunity to work alongside a multidisciplinary team of leading immunologists, oncologists, and AI scientists, contributing to pioneering research that utilizes diverse data types, ranging from cell lines to clinical samples. The position will leverage the fellow’s bioinformatics expertise to innovate and contribute to the development of effective T-cell epitopes for cancer vaccine design.

Job Responsibilities

• Perform advanced single-cell analyses to identify distinct cell phenotypes and interactions, elucidating the transcriptomic landscape that drives tumor progression and/or responses to treatments.
• Develop robust bioinformatics pipelines for analysing TCR and in-situ tumor-immune spatial organization using long-read sequencing and high-plex immunofluorescence data, respectively.
• Work collaboratively with an interdisciplinary team of biologists, clinicians, and AI scientists to contextualize findings within complex disease landscapes.
• Manage data curation and ensure the integrity and accessibility of datasets.
• Maintain up-to-date knowledge of bioinformatics methodologies and stay informed about new technologies and computational tools.
• Communicate findings through scientific publications, presentations, and reports for both academic and non-academic audiences.

Job Requirement

• PhD in Immunology, Bioinformatics, Computational Biology, Systems Biology, or a related field.
• Minimum of two years of relevant experience in omics data analysis.
• Proficient in programming languages such as R and Python, with extensive use of bioinformatics tools and public databases.
• Demonstrated expertise in statistical data analysis and the application of machine learning.
• Skilled in using data visualization tools and software.
• Knowledge of cancer immunology and molecular biology principles.
• Proven publication record in peer-reviewed journals within the bioinformatics field or related areas.
• Exceptional problem-solving skills, capable of working independently and collaboratively.
• Excellent verbal and written communication skills.
• Advanced programming skills in R and Python.
• Experience with server-based and high-performance computing environments.
• Experience in computational tool development.
• Expertise in managing and analyzing large datasets from various omics platforms.
• Experience in computer vision or image processing.

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 a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a Pharmaceutical Innovation Programme Singapore research project where you will be part of a collaborative team exploring innovative ways of understanding extrusion processing for pharmaceutical drug materials and products using rheological measurements.

Key Responsibilities

In this role, you will characterize mixtures of pharmaceutical excipients and drug materials to develop methodologies for screening hot-melt extrusion formulations and selecting optimal operating conditions using rheology, with the objective of producing amorphous-solid-dispersions. You will validate the developed processing space and operating conditions for extruded pharmaceutical formulations using a lab-scale extruder. In collaboration with researchers at the Singapore-MIT Alliance for Research and Technology (SMART), you will characterize the physical properties and performance of intermediate pharmaceutical drug products. The created methods will be transferred to the industrial partner to enhance their product development process using rheological characterization.

More specific responsibilities include:

• Participate in and manage the research project with Principal Investigator (PI), and the research team members to ensure all project deliverables are met.
• Undertake characterization of pharmaceutical active ingredients, polymeric excipients, and plasticizers for producing amorphous-solid-dispersions.
• Perform lab-scale hot-melt extrusion of pharmaceutical materials to validate predicted processing conditions and product outcomes.
• Collaborate with broader pharmaceutical research team at SMART.
• Design, execute, and interpret experiments independently.
• Author papers in high-quality journals in areas that are related to the research.
• Prepare and deliver reports and presentations for industrial partners
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team.

Job Requirements

• Have deep hands-on experience with at least one of the areas of polymer rheology, extrusion processing, pharmaceutical engineering with small molecules.
• Relevant competence in the areas of wet lab work, analytical instrumentation, material science and formulation
• Have an advanced degree in chemical engineering, mechanical engineering, materials science and engineering, or a related field.
• Knowledge of any of the following will be advantageous: rheology, physical characterisation, crystallisation, polymer melts, extrusion, material physics.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development.
• Proficient in communicating via technical writing and presentations.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a PhD degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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 Research Fellow will work closely with the Principal Investigator, Dr. WU Zhe, on several research projects of optimization of chemical and manufacturing processes through machine learning tools
• The Research Fellow will help to develop both theoretical and simulation study of machine-learning-based control and optimization algorithms to chemical processes.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Control Engineering, Chemical Engineering, Automation, Systems Engineering, Computer Science or Applied Mathematics;
• Good publication record;
• Experienced in advanced process control, machine learning, and programming languages (e.g., python, Matlab, C++, etc)