JOB DESCRIPTION

We are looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering with min 5 years of relevant experience
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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 looking for a strong candidate with strong AI background and experiences in audio, speech AI training for industrial projects on audio & speech recognitions.

Key Responsibilities: Work on audio processing, data preparation and multiple model training of multi-language code-switch ASR for projects.

JOB REQUIREMENT

• Has a related B.S degree in Computer Science or Software Engineering.
• Experiences in speech signal processing, speech recognition, in both hybrid models, supervised E2E models, LLMs fine-tuned models and deep learning
• Strong in the following programming languages: Python, Pytorch, C/C++, Linux Bash/Shell
• Knowledge in web-based and app developments for demo systems is advantageous

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.

The Agency for Science, Technology and Research (A*STAR) is Singapore's lead public sector agency that fosters world-class scientific research and talent to drive economic growth to transform Singapore into a vibrant knowledge-based and innovation driven economy. For more information about A*STAR, please visit: www.a-star.edu.sg

A*STAR is spearheading a series of Strategic Research & Translational Thrusts (SRTT) that harnesses its multidisciplinary expertise to undertake a focused research mission. Operating as a cross-A*STAR initiative, SRTTs are geared at delivering impact and outcomes in specific thematic areas. Led by the A*STAR Research Office (RO), SRTTs will be actively managed where the SRTT Programme Directors and research team members will be provided dedicated central support. Under the newly established Central Initiative Administration (CIA), A*STAR is recruiting a Manager/Senior Manager/Assistant Director for SRTT Programme Research Administration and Operations.

Responsibilities & Duties

• Support the overall administration, office management and operations of SRTTs, including research admin support (e.g., support Project Investigators (PI) in grant administration and reporting, ethics review, research software support, scientific advisory panel meeting logistics, etc.)
• Provide corporate and business service support to SRTTs, working with Corporate Group (CG) and Space, Infrastructure and Admin (SpIA) Partners and Research Institute (RI) admin teams.
• Craft, review, and implement business process workflows to achieve efficiency and optimization.
• Work with the Central Initiative Directorate (CID) team to manage and track the operating budget for supporting the SRTTs; this includes costs of SRTT staff training, development and engagement, engaging experts / advisors, CG support, and other costs that may not be directly attributed to specific SRTTs.
• Work closely with RO and other relevant stakeholders to formulate, communicate, and implement administrative policies and procedures, adhering to relevant A*STAR policies and guidelines.
• Onboard new staff and students, including visiting scientists/professors.
• Plan and prioritize to cater to the different needs of SRTTs.

Requirements:

• Preferably possess a BSc or BA in a scientific discipline.
• Minimum 5 or more years of experience in research administration and operations preferred.
• Strong analytical and system thinking abilities, and good project management skills.
• Good communication and presentation skills (both written and oral).
• Ability to build relationship and work across different functions and departments.
• Proficiency in data analytics is a bonus.

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

The Singapore Gastric Cancer Consortium (SGCC) is a translational research group comprising clinicians and scientists working in gastric cancer research. The group aims to solve important clinical questions to improve the care of gastric cancer patients, facilitated by close interaction between clinicians and scientists, and with synergism that enables biologic discoveries in the laboratory to be validated in the clinical setting.

Our research theme, “Bringing Discoveries to Patients” was awarded the Open Fund - Large Collaborative Grant by the National Medical Research Council in 2019. This will spearhead key research projects which include molecular testing for gastric cancer prevention, personalized cancer therapy and treatment, characterization of gastric stem cells, and single cell analysis of gastric cancers.

Duties

• Work with Research Fellow/s in the conducting of clinical research projects
• Processing and molecular analysis of patient blood and tissue samples
• Perform lab-based molecular work according to strict methodologies
• Optimizing and troubleshooting new experimental protocols
• Keep meticulous records of experimental work
• Coordinate laboratory operational activities through managing laboratory and sample inventories, establishing laboratory procedures and organization of laboratory consumables
• Work with Laboratory Safety Lead to ensure laboratory safety and maintain safety documentation and procedures
• Assist Research Manager in grant reports and organizing scientific meetings

Skills

• Meticulous and attention to detail
• Proactive and able to work independently in a corporate as well as laboratory setting
• Work collaboratively with other research groups
• Critical thinking and systematic problem-solving skills
• Strong written and oral communication skills
• Keen interest in scientific literature, keeps up to date with relevant research publications
• Experience in laboratory research and molecular biology techniques will be advantageous.
• Well-organized and able to clearly summarize and present information and data obtained.

Qualifications

Bachelors in Life Sciences/ Biological Science/ Biomedical Science or related fields. Laboratory experience in molecular work (DNA/ RNA prep and protein assays, Next-Gen Sequencing, Pyrosequencing) and tissue culture preferred. Grant or report writing experience and experience of coordinating research projects also are valuable.

We regret that only shortlisted candidates will be contacted.

The National Institute of Education invites suitable applications for the position of Research Assistant/Associate on a 3-month contract at the Office of Education Research (OER) with a possibility of extension for one to two years.

Title for Project 1: How do Singaporean children understand “I can choose”? Phase 2: Examining early development of free will, mindset, achievement goals, and persistence

Title for Project 2: Singaporean Children’s Emotion Socialization

Introduction for Project 1:

The proposed study aims to address three objectives with three studies.

Objective 1 (Study 1): Examine individual differences in Singaporean children’s achievement-related beliefs, goals, and memories. We will interview Singaporean children aged 4y to 10y on questions regarding their free will belief, mindset, achievement goals, and achievement-related memories. We will examine relations between these measures, and whether they differ from results from American children.

Objective 2 (Study 2): Trace Singaporean children’s early achievement-related behaviours and parents’ reactions to it. For 3 visits (1.5y, 3y, 4y) from a longitudinal study (BE-POSITIVE), we will code and analyse children and parents’ behaviours when presented with a challenging task after an easy task.

Objective 3 (Study 3): Investigate how early achievement-related experiences predict 4-year-olds’ achievement-related beliefs, and explore potential moderating factors. Children from Study 2 will be interviewed with questions used in Study 1 to examine the relation between children’s earlier achievement-related experiences and later achievement-related beliefs. We will also explore the potential moderating roles of external factors such as family background, and internal factors such as children’s temperament.

Introduction for Project 2:

The specific objectives are as follows.

Examine Singaporean parents’ emotion socialization during shared book reading with young children (0-4 years old). Family emotion socialization plays an important role in children’s emotional development, especially in early life. Particularly, mother-child conversations during shared book reading or past event reminiscing contribute to children’s learning about the causes and consequences of emotions, and the strategies to cope with distress (Doan et al., 2019; Doan & Wang, 2010). During mother-child conversations, discussion of emotions or other internal states makes thoughts and feelings explicit and helps children understand thoughts and feelings, whereas discussion of behaviors may draw children’s attention outwards and impede children’s emotion understanding and regulation. In Study 1, we will code parent-child conversations during the shared book reading task in Be POSITIVE to examine Singaporean parents' emotion socialization and its relations with children’s social-emotional development, such as emotion understanding, theory of mind, and social competence. Examine Singaporean teachers’ emotion socialization with children in preschools (4-6 years old). In addition to parents, teachers are also potential socializers with whom children interact frequently. Thus, teachers also play an important role in emotion coaching through structured activities, e.g., storytelling and book reading, and everyday interactions. A few studies have suggested that childcare centers or preschools are important social contexts for children to learn about emotions through teacher-child interactions (Ahn, 2005; Denham et al., 2020). However, little is known about the emotion socialization among Singaporean teachers or its relations with children’s social-emotional development. In Study 2, we plan to utilize Singapore Kindergarten Impact Project (SKIP) data to code teacher-child interactions in the classroom, e.g., during shared book reading activities, and explore the relations between teachers’ emotion socialization and children’s social-emotional development, such as emotion understanding, theory of mind, and social competence.

Requirements

• Have a Bachelor's degree in a relevant discipline (e.g. Psychology, Philosophy, Education), or expect to have such a degree by the starting time of the position
• Experience with research with young children
• Experience with data management and analysis
• Experience with or interest to learn tools for data management and analysis (e.g., RedCap, R, SPSS)

Responsibilities

• Collaborate with colleagues to clean and manage data from a large longitudinal study
• Data coding and analysis
• Assist in the development of research projects in seeking appropriate funding
• Writing reports/manuscripts and making posters/oral presentations to disseminate results
• Managing paperwork related to the project
• Other research related tasks as assigned by the Principal Investigator

Application

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

Workday Job Requisition ID: R00018953

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Centre-for-Research-in-Child-Development--Office-of-Education-Research---NIE-_R00018953)

Closing Date

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

The School of Materials Science & Engineering (MSE) is a key engineering school in NTU. Our research lab focuses on soft electronics, soft robotics, energy conversion and thermal management.

PI is seeking to recruit talented postdoc with creative mindset and excellent skillsets in process integration for electronics research. The role is to deliver project milestones in active thermal management, and actuator sensing integration in soft electronics.

Key Responsibilities:

• Responsible for delivering project milestones on active thermal management
• Formulate and design of integration of sensing and actuators

Job Requirements:

• PhD degree in material science or related field
• Prior experience of more than 2 years working on thermal management
• Prior knowledge on device fabrication and electrical measurements
• Expert knowledge in novel materials for piezoelectricity or triboelectric
• Requires interdisciplinary skillset, strong communication skills and ability to manage complexity
• Excellent skillsets in fabrication of sensing arrays based on printing
• Advanced knowledge in 3D printing and inkjet printing
• Expert in piezoelectric and piezoresistive sensing
• Novel materials for active thermal management

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

Job Description:

• Provide learner and trainer support for the assigned training courses. Manage the day-to-day administrative aspects of training programs.
• Coordinate and provide logistics support (inclusive of stationery, training materials, F&B, etc) for training delivery.
• Manage and maintain accurate records of training activities, including attendance, evaluations, and completion certificates.
• Assist in the creation and distribution of training-related communications, such as announcements, reminders, and post-training follow-ups.
• Serve as the primary point of contact for training inquiries, engaging learners and trainers and providing solutions for any training administration-related issues.
• Responsible for course fee collection from learners within the required timeline.
• Coordinate in conducting surveys and assessments and responsible for course success stories and testimonial collection.
• Provide support in other KTO and S&A events and activities.

Job Requirement:

• Diploma in business administration or a related field.
• Previous internship or relevant experience is a plus.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
• Excellent organizational skills with the ability to prioritize tasks and manage time effectively.
• Strong attention to detail and accuracy in data entry and record keeping.
• Exceptional communication and interpersonal skills, with a customer service-oriented approach.
• Ability to work independently with minimal supervision, as well as collaboratively in a team environment.
• Flexibility to adapt to changing priorities and deadlines in a fast-paced work environment.

The Agency for Science, Technology and Research (A*STAR) is Singapore's lead public sector agency that fosters world-class scientific research and talent to drive economic growth to transform Singapore into a vibrant knowledge-based and innovation driven economy. For more information about A*STAR, please visit: www.a-star.edu.sg

A*STAR is spearheading a series of Strategic Research & Translational Thrusts (SRTT) that harnesses its multidisciplinary expertise to undertake a focused research mission. Operating as a cross-A*STAR initiative, SRTTs are geared at delivering impact and outcomes in specific thematic areas. Led by the A*STAR Research Office (RO), SRTTs will be actively managed where the SRTT Programme Directors and research team members will be provided dedicated central support. Under the newly established Central Initiative Administration (CIA), A*STAR is recruiting a Manager/Senior Manager/Assistant Director for SRTT Programme Research Administration and Operations.

Responsibilities & Duties

• Support the overall administration, office management and operations of SRTTs, including research admin support (e.g., support Project Investigators (PI) in grant administration and reporting, ethics review, research software support, scientific advisory panel meeting logistics, etc.)
• Provide corporate and business service support to SRTTs, working with Corporate Group (CG) and Space, Infrastructure and Admin (SpIA) Partners and Research Institute (RI) admin teams.
• Craft, review, and implement business process workflows to achieve efficiency and optimization.
• Work with the Central Initiative Directorate (CID) team to manage and track the operating budget for supporting the SRTTs; this includes costs of SRTT staff training, development and engagement, engaging experts / advisors, CG support, and other costs that may not be directly attributed to specific SRTTs.
• Work closely with RO and other relevant stakeholders to formulate, communicate, and implement administrative policies and procedures, adhering to relevant A*STAR policies and guidelines.
• Onboard new staff and students, including visiting scientists/professors.
• Plan and prioritize to cater to the different needs of SRTTs.

Requirements:

• Preferably possess a BSc or BA in a scientific discipline.
• Minimum 3-5 years of experience in research administration and operations preferred.
• Strong analytical and system thinking abilities, and good project management skills.
• Good communication and presentation skills (both written and oral).
• Ability to build relationship and work across different functions and departments.
• Proficiency in data analytics is a bonus.

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:

• Provide learner and trainer support for the assigned training courses. Manage the day-to-day administrative aspects of training programs.
• Coordinate and provide logistics support (inclusive of stationery, training materials, F&B, etc) for training delivery.
• Manage and maintain accurate records of training activities, including attendance, evaluations, and completion certificates.
• Assist in the creation and distribution of training-related communications, such as announcements, reminders, and post-training follow-ups.
• Serve as the primary point of contact for training inquiries, engaging learners and trainers and providing solutions for any training administration-related issues.
• Responsible for course fee collection from learners within the required timeline.
• Coordinate in conducting surveys and assessments and responsible for course success stories and testimonial collection.
• Provide support in other KTO and S&A events and activities.

Job Requirement:

• Diploma in business administration or a related field.
• Previous internship or relevant experience is a plus.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
• Excellent organizational skills with the ability to prioritize tasks and manage time effectively.
• Strong attention to detail and accuracy in data entry and record keeping.
• Exceptional communication and interpersonal skills, with a customer service-oriented approach.
• Ability to work independently with minimal supervision, as well as collaboratively in a team environment.
• Flexibility to adapt to changing priorities and deadlines in a fast-paced work environment.

Job Overview:

The Institute of Materials Research and Engineering (IMRE) is a research institute of the Agency for Science, Technology, and Research (A*STAR). Quantum Innovation Centre (Q.InC) is an A*STAR-level entity hosted within IMRE. Q.InC and IMRE are looking for a senior principal quantum scientist who has sufficient experience and proven track record of success in leading and managing quantum research, and bringing in external competitive funding. The scientist will be leading part of Q.InC’s hardware research efforts in areas such as quantum sensing and/or integrated photonics, and sit on Q.InC’s management team to strategise for Q.InC’s success.

In this role, you will work on the following but not limited to:

• Report directly to A*STAR’s Chief Quantum Scientist (CQS) and Q.InC’s Executive Director
• Lead and be responsible for Q.InC’s research efforts in quantum sensing and/or integrated photonics and/or other areas as CQS deems suitable
• Be the lead who is responsible for the success of these efforts, and answer questions from CQS, HQ, and A*STAR senior management when needed
• Work together with CQS and Q.InC’s management team to strategise for Q.InC’s excellence, e.g. discuss the progress of responsible research areas and performance of staff in these teams
• For the responsible research areas, lead the relevant Q.InC teams to secure significant external competitive funding from different grant schemes such as NQPI, NQSP, NRF-CRP, MTC Programmatic, IAF-PP/ICP, etc
• For the responsible research areas, lead the relevant Q.InC teams to establish close connections with local agencies and industry partners, such as HTX, DSO, OSTIn, to establish joint research programmes that bring in significant external support
• Help ensure the Q.InC teams being led undergo a smooth transition into other new structures following A*STAR senior management’s guidance

Requirements:

• Proven track record in leading and managing research teams
• A PhD degree in physics or engineering, ideally in quantum science
• 20 years of relevant research experience
• 10 years of relevant management experience
• Understanding of the intricate dynamics in different stakeholders, and optimising for the best outcome for Q.InC

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 National Additive Manufacturing Innovation Cluster (NAMIC) was established on

1st October 2015, to be the collaborative partner in 3D printing technology creation

and innovation through working with different industries, agencies and institutions to

develop capabilities in additive manufacturing, innovate and accelerate additive

manufacturing to increase Singapore"s global manufacturing competitiveness.

We are seeking a highly motivated and experienced individual to join our team at the

NAMIC@Additive Innovation Centre (NAMIC@AIC) A*STAR Hub as the Asistant Manager, Tech Biz or Manager, Tech Biz.
The AIC Hub aims to introduce A*STAR’s integrated additive

manufacturing technology offerings that can benefit the industry, with the objective to

increase collaboration with key industry partners. The collaborations are targeted to

translate research into applications, promote pilot production and accelerate the

adoption of additive manufacturing (AM) in Singapore.

Job Responsibilities:

• Develop, evaluate and implement the AIC Hub"s goals, objectives and activities related to translating technology and driving AM industrial business growth.
• Formulate and execute effective business strategy and industry engagement to promote AM technology, industrial and entrepreneurial growth efforts to accelerate adoption of AM in Singapore.
• Engage companies to understand industry needs and technology requirements, and to collate and document the industry intelligence for the AIC Hub.
• Organize industry sharing events such as seminars, roundtable discussions, workshops to outreach to the industry.
• Work with AIC Hub manager, other A*STAR Research Institutes (RI)s’ Industry Development Managers (or equivalent) to drive business strategies and industry contacts / needs for R&D projects, including pilot production projects for the AIC Hub.
• Work with AIC Hub manager to link up external enquiries with A*STAR RIs’ internal expertise and capabilities.
• Work with Marcomm on marketing strategies for AIC Hub.
• Work with NAMIC Cluster Lead Party (CLP) to follow up on potential companies,
• Institutes of Higher Learning (IHL) and start-ups for projects, license agreement, co-funding and standards development.
• Secure collaboration partnerships and projects to meet the AIC Hub’s outcome and KPIs.
• Develop and maintain good relationships with the partners and take charge of all business aspects in the on-going AIC Hub’s projects.

Job Requirements:

• Minimum a degree in Mechanical/Electrical/Biomedical/Materials/Chemical Engineering, Science or equivalent education from a recognized university with at least 2 years of relevant working experience in the industry in business development.
• Proven track record in sales and marketing in additive manufacturing will be desirable.
• Demonstrated ability to follow up with industry inquires, negotiate business terms & pricing with customers and secure industry projects.
• Proven track record in fostering collaborations between industry, IHLs and/or
• public sector RIs.
• Ability to organise marketing and industry outreach activities to generate industry interest, grow project pipeline and secure industry projects.
• Experience in managing intellectual property and technology translation.
• Experience and knowledge in additive manufacturing trends, entire workflow for additive manufacturing industrialization and engineering product development will be prioritized.
• A self-starter with strong networking and collaboration skills.
• A strong communicator with good written, presentation and oral communication skills. A strategic thinker and problem-solver with an innovation mindset.
• Ability to work independently and effectively in a team, in a dynamic R&D environment.
• Strong relationship management skills with an outgoing and pleasant personality.
• Willing to take on required tasks beyond the job description.

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

• To organize and implement research plans, development of methods of research, testing and data collection, analysis and evaluation, and report writing.
• Knowledge on gas hydrates or is highly desirable
• To assist the principal supervisor in management of the lab.
• To ensure that all safety guidelines are followed in the research
• To undertake any other duties relevant to the research

Job Requirements

• Master’s Degree and above in Chemical Engineering
• Research experience on gas hydrate and their applications specifically to macro-scale experimental measurements
• To handle high pressure equipment and instruments like PID controllers.
• Knowledge on operation, calibration and analysis of gas chromatography results
• Highly efficient, good communication and oral skills
• Strong ability to work in a multidisciplinary team

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Research Assistant in Pharmacology (PC1) Unit

Job Scope:

· Tool generation – Expression vector construction and molecular cloning, protein labelling, stable cell line development

· Drug screening – ELISA, Flow cytometry, Cell-based functional assay, Microscopy, SDS-PAGE, Western blotting, qPCR etc.

· Cell culture – Suspension cell culture and adherent cell culture, 3D cell culture models such as spheroid, tumoroids, Primary cell culture.

· Lab management

Requirements:

· Degree in Biomedical Science/Biotechnology/Molecular Biotechnology or a related field with at least 1-2 years of related working experience in either an industry or academia setting.

. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures especially mammalian cell culture and In vitro cellular assays.

· Experience in Molecular Biology, 3D cell culture, Cell engineering, Primary cell isolation, Flow cytometry, Microscopy, NGS analysis and other relevant skills will be an added advantage.

· Experience in In vivo sample handling experience is a plus.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

Working Location: Islandwide, can be discussed.

Working hours: 5 days per week, 10-9pm (Weekdays), 10-8pm (Weekends)

Attractive remuneration package commensurate with relevant experience.

Job Description

• Provide professional TCM consultation and treatments to patients
• Attend to patients’ enquiries about treatments and other TCM-related queries
• Ensure proper documentation of treatment services and medicine assigned to patients in TCM database
• Attend TCM health talks and workshops
• Adhere to the TCM Physician’s Code of Conduct and MOH’s regulatory requirements

Job Requirements

• Diploma/Advanced Diploma/Degree in TCM
• Candidates must possess a valid certification with the Singapore TCM Practitioners Board
• Basic IT knowledge
• Friendly personality, cooperative and work well with co-workers
• Be open to learning new things
• Must be able to work on weekends and public holiday

Work Location: Multiple locations across Singapore!

Interested candidates, kindly submit your updated resume via online application or email your resume to [email protected]

We regret that shortlisted candidates will only be notified.

Job Description

The National Additive Manufacturing Innovation Cluster (NAMIC) was established on

1st October 2015, to be the collaborative partner in 3D printing technology creation

and innovation through working with different industries, agencies and institutions to

develop capabilities in additive manufacturing, innovate and accelerate additive

manufacturing to increase Singapore"s global manufacturing competitiveness.

We are seeking a highly motivated and experienced individual to join our team at the

NAMIC@Additive Innovation Centre (NAMIC@AIC) A*STAR Hub as the Asistant Manager, Tech Biz or Manager, Tech Biz.
The AIC Hub aims to introduce A*STAR’s integrated additive

manufacturing technology offerings that can benefit the industry, with the objective to

increase collaboration with key industry partners. The collaborations are targeted to

translate research into applications, promote pilot production and accelerate the

adoption of additive manufacturing (AM) in Singapore.

Job Responsibilities:

• Develop, evaluate and implement the AIC Hub"s goals, objectives and activities related to translating technology and driving AM industrial business growth.
• Formulate and execute effective business strategy and industry engagement to promote AM technology, industrial and entrepreneurial growth efforts to accelerate adoption of AM in Singapore.
• Engage companies to understand industry needs and technology requirements, and to collate and document the industry intelligence for the AIC Hub.
• Organize industry sharing events such as seminars, roundtable discussions, workshops to outreach to the industry.
• Work with AIC Hub manager, other A*STAR Research Institutes (RI)s’ Industry Development Managers (or equivalent) to drive business strategies and industry contacts / needs for R&D projects, including pilot production projects for the AIC Hub.
• Work with AIC Hub manager to link up external enquiries with A*STAR RIs’ internal expertise and capabilities.
• Work with Marcomm on marketing strategies for AIC Hub.
• Work with NAMIC Cluster Lead Party (CLP) to follow up on potential companies,
• Institutes of Higher Learning (IHL) and start-ups for projects, license agreement, co-funding and standards development.
• Secure collaboration partnerships and projects to meet the AIC Hub’s outcome and KPIs.
• Develop and maintain good relationships with the partners and take charge of all business aspects in the on-going AIC Hub’s projects.

Job Requirements:

• Minimum a degree in Mechanical/Electrical/Biomedical/Materials/Chemical Engineering, Science or equivalent education from a recognized university with at least 2 years of relevant working experience in the industry in business development.
• Proven track record in sales and marketing in additive manufacturing will be desirable.
• Demonstrated ability to follow up with industry inquires, negotiate business terms & pricing with customers and secure industry projects.
• Proven track record in fostering collaborations between industry, IHLs and/or
• public sector RIs.
• Ability to organise marketing and industry outreach activities to generate industry interest, grow project pipeline and secure industry projects.
• Experience in managing intellectual property and technology translation.
• Experience and knowledge in additive manufacturing trends, entire workflow for additive manufacturing industrialization and engineering product development will be prioritized.
• A self-starter with strong networking and collaboration skills.
• A strong communicator with good written, presentation and oral communication skills. A strategic thinker and problem-solver with an innovation mindset.
• Ability to work independently and effectively in a team, in a dynamic R&D environment.
• Strong relationship management skills with an outgoing and pleasant personality.
• Willing to take on required tasks beyond the job description.

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 have an opening for a Research Fellow (Robotics) in areas related to the control of drone swarms and autonomous vehicles. Specifically, we expect the selected candidate to lead and pursue high-quality research in the broad areas of robotics, e.g., the coordination of drone swarms in complex environments, the control of autonomous vehicles in mixed traffic, etc. In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a Doctoral degree in Mechanical Engineering, Electric Engineering, Computer Science, or other closely related fields.
• Research and hands-on experience in robotics (e.g., drone systems) with excellent publication record
• Good programming and analytical skills
• Expertise in control theory, optimization, game theory, and machine learning is highly preferable
• Good technical proposal writing and presentation skills
• Able to plan and organize well and adhere to the deadline
• Able to perform research in a multidisciplinary team.
• Strong written and spoken communications and able to present results clearly.
• 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

The National University of Singapore invites applications for a Research Assistant in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Perform data preparation and visualization
2. Conduct data analysis from study cohorts (with guidance)
3. Create publication-quality tables and figures
4. Complete relevant literature search
5. Draft scientific manuscripts
6. Assist in grant applications
7. Optimization/automation of existing workflows
8. Exploration of novel statistical methods from leading journals

Qualifications

• Bachelor's Degree in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at [email protected]

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any)

Only shortlisted candidates will be notified.

Our client is an asset management firm with an AUM of 1.5 bill equity fund. They provide good

employee benefits and company culture.

Location: Singapore

Department: Invest - Equity

Reporting to: Portfolio Manager - Equities

Reporting to the Portfolio Manager – Investments Equity. The incumbent is responsible for producing quality investment ideas and covering portfolio companies. Assisting the Portfolio Manager in managing portfolio in his absence. Overseeing all the trading activities for the Equity portfolio on a daily basis while assisting the fixed income trading when the Fixed Income PM is on Compliance leave.

Job Description

• Conduct research and suggest companies for investment from the allocated industries and any other investable company.
• Provide investment materials on companies and keeping track of companies and industries.
• Understand companies positioning, business potential, possible threats etc for recommendation for investment ideas and buy / sell decisions.
• Evaluate solid businesses / companies eligible for re-rating.
• Managing communication of investment philosophy, and match investor expectation by beating the market
• Oversee the portfolio under the guidance of Portfolio Manager where they deem necessary.
• Ensure compliance to investment rules
• Implementing the trades on a regular basis as per the requirements of the portfolio using the system
• Assist to reply to investor queries related to the portfolio/Macro
• Preparing investor reporting material wherever required for different funds Monthly, Quarterly and adhoc
• Preparing internal presentation for fund discussions

Role Competencies

• Mid Cap exposure or people with stock specific expertise.
• Able to grasp concepts readily
• Deep understanding of equity investment processes, capital markets, companies & sectors.
• Strong analytical and quantitative skills.
• Able to provide first class services that includes asset allocation, fund portfolio construction for investments, backed up with adequate research.
• A good and focused team player
• Able to prepare and organize research materials in the form of a report logically as well as in the form of a presentation that is readily understood by the reader.
• Knowledgeable with internet & high value information resources like Bloomberg, Thompson research etc. will be an added advantage.
• Some knowledge of trading and the systems used for the same
• Some knowledge of portfolio level allocation

Requirements

• CA / MBA or post-graduate degree in Finance/Economics, with 6-10 years of experience in Analysing Indian Equities
• Able to meet MAS licensing and Fit and Proper requirements in respect of regulated Fund Management activities
• Conceptual Clarity.
• Strong analytical and quantitative skills.
• Highly motivated, dynamic, hardworking and eager to succeed.

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 a Research Associate in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Lead high-impact publications (with guidance)
2. Assist in grant applications
3. Optimization/automation of existing workflows
4. Exploration of novel statistical methods from leading journals

Qualifications

• Master's Degree in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB or Python
• Good writing skills
• Works well in a team

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at [email protected]

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any)

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 a Research Fellow in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.

Origins Lab

The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.

Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.

We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.

We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.

Duties and Responsibilities

1. Lead high-impact publications (with guidance)
2. Assist in grant applications
3. Optimization/automation of existing workflows
4. Exploration of novel statistical methods from leading journals

Qualifications

• PhD in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
• Proficient in Stata, R, MATLAB, or Python
• Good writing skills
• Works well in a team

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

Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any) to:

Only shortlisted candidates will be notified.

1. Job Scope: Pre-interview reading of student profile and interview questions, interviewing secondary school students (incl. those who may have special education needs), post-interview debrief with the research team, any subsequent verification of transcripts if necessary. Willing to travel to on-site school location. Voice recorder will be provided.
2. Working Arrangement: Research Team will notify of interview slots and confirm them 3 to 7 days in advance. Availability for last-minute stand-ins in case of illness will be good. As much as possible, if available for interviews between Januaryand March/April 2025 and 2026 would be an important advantage as this is a longitudinal study and we will try to pair students with the same interviewer. We will try to assign roughly 2 to 6 interviews per week. Unfortunately, we cannot promise anything more concrete due to our dependence on school availability for the interview sessions. All interviews will take place after curricula hours, ~1.30pm to 5.30pm.

Salary: $20 per hour, expected minimum commitment per day = 4 hours

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/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Centre for Sleep and Cognition, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator, lab members, and collaborators to ensure successful completion of research projects (including neuroimaging, behavioral, and digital tracking experiments), smooth operation of computing and neuroimaging equipment, and efficient management of neuroimaging database in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in all neuroimaging and behavioral experiments such as subject recruitment, behavioral testing, digital tracking, image data collection, and data analysis. He/she will also support computing server/storage administration (with support from external vendors), neuroimaging equipment maintenance, and general lab administration like website. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, neuroimage processing using automatic or semi-automatic scripts, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging softwares and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging, cognitive neuroscience, and neuropsychiatric disorders. The research assistant/associate will have the opportunity to liaise and work with other clinical collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with neuroscience/psychology/life science/engineering/computing background with strong interest to learn
2. Excellent written, oral communication skills
3. Prior programming experience in statistical analysis, medical image analysis or database management (e.g., MATLAB, shell, python) is a plus but not necessary
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

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

Interested applicants are welcome to apply with the application letter, curriculum vitae, and contacts of two-three references.

​ Our Client is an established company in Singapore, who is seeking to recruit a Senior Data Engineer (Data Science/ Artificial Intelligence).

Senior Data Engineer (Data Science/ Artificial Intelligence)

This role requires an individual with experience in cloud-based data engineering work, as well as good communication skills, as you will be expected to interact frequently with the users to elicit useful business information that enables you to perform your job.

Responsibilities

· Translate data requirements from business users into technical specifications.

· Collaborate with IT teams on technology stack, infrastructure and security alignment.

· Build out data product as part of a data team:

· Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

· Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

· Construct, test, and update useful and reusable data models based on data needs of end users.

· Design and build secure mechanisms for end users and systems to access data in data warehouse.

· Research, propose and develop new technologies and processes to improve data infrastructure.

· Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

· Maintain data catalogue to document data assets, metadata and lineage.

· Implement data quality checks and validation processes to ensure data accuracy and consistency.

· Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

Requirements

· A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

· Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

· Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

· Experience in architecting data and IT systems.

· Experience with orchestration frameworks such as Airflow, Azure Data Factory.

· Experience with distributed data technologies such as Spark, Hadoop.

· Proficiency in programming languages such as Python, Java, or Scala.

· Proficiency in writing SQL for databases\

· Familiarity with building and using CI/CD pipelines.

· Familiarity with DevOps tools such as Docker, Git, Terraform.

Preferred requirements:

· Experience in designing, building, and maintaining batch and real-time data pipelines.

· Experience with Databricks.

· Experience with implementing technical processes to enforce data security, data quality, and data governance.

· Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

JJ Consulting Services

EA Licence No.: 12C6207

Applicants are invited to send in a MS Word resume to [email protected] stating position applying for/present/expected salaries and earliest available date.

We thank all applicants in advance and regret that only short listed candidates will be notified.

Our client is in Scientific and Medical industry. Due to their current expansion plan, they are looking for a Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the Central area – easily accessible.

Duties of Regulatory Compliance Specialist:

• Ensure compliance with regulatory standards for medical devices and biotechnology products, preparing and submitting necessary documentation.
• Assist in product registration, renewal, and change submissions, liaising with regulatory agencies and suppliers.
• Develop regulatory strategies and provide guidance during product development for timely market access.
• Maintain accurate regulatory documentation and records for submissions and approvals.
• Support Quality Assurance to ensure regulatory compliance and participate in audits when needed.
• Collaborate with internal teams to integrate regulatory requirements into product launches and provide regulatory training.
• Identify regulatory risks and develop mitigation strategies for product marketing and commercialization.
• Monitor post-market safety data, reporting adverse events as required by authorities.

Requirements:

• Degree in Life Science or related field
• Relevant experience

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De