Required Qualifications

• Passionate about the cause of education
• Dedicated and patient
• Team spirit
• Bachelor's Degree in the related subject

Job Timings (Non-negotiable)

• 44 Hours Per Week
• Monday - Thursday: 11:30 am - 07:30 pm
• Saturday and Sunday: 09:30 am - 06:30 pm
• Lunch Break: 01:30 pm - 02:30 pm

Overtime

Employees who work more than the stipulated working hours on any day will be paid for any additional hour worked at 1.5 times their hourly basic rate of pay.

Public Holidays

• The Centre will remain closed on all public holidays EXCEPT Labour Day and Vesak Day. The board examinations are held in May/June and we are duty bound to our students to remain open on these two public holidays to assist them in their final examination preparation.
• Employees who work on Public Holidays (9:30AM - 6:30PM) will receive twice their basic rate of pay for work on that day.

Leave Policy

• Annual leave : 18 days
• Birthday Leave: 1 day
• Family Care Leave : 2 days
  (the above unused leave will be encashed at the end of the year)
• Medical leave: 14 days
• Hospitalisation Leave : 60 days (includes 14 days of medical leave)
  Unused leaves will lapsed at the end of the year
• Maternity leave :16 weeks (For Singapore Citizens)
  8 weeks (For others)
• Paternity leave :2 weeks (If employee has worked for 3 continuous months and child is a Singapore Citizen)
  For Others, as per mutual agreement between employee and employer.
• Childcare Leave :6 days (if child is less than 7 years, and a Singapore Citizen)
  2 days (if child is less than 7 years, for others, as per Employment Act)
• Compassionate Leave: 3 days (can be availed only once in a year)

Insurance

• General Physician (GP) : No Co-Pay (Panel Clinic)
• Specialist (SPL) : $2000 per calendar year (No Panel)
• Hospitalisation (Hosp) : $60000 Annual (Govt Restr, 4 bedded Ward)
• Dental Plan (DP) : $1000 per calendar year, 10% Co-Pay (No Panel)

Resignation Procedure

• Employees are free to resign with just a 1-day notice period. We understand that new opportunities can arise, and we don’t want a lengthy notice period to stand in your way. Our priority is to support your success, whether that’s with us or in your next role.

Walk-in interview

Monday Tuesday, Wednesday, Thursday, Saturday and Sunday at 2:30PM at MathVision Campus, Tekka Place, Annex Block, #01-51 to #01-54 and #01-55 to #01-59, 2 Serangoon Road, Singapore

Please whatsapp your resume or education qualifications at +65 8868 3475

Account Manager (Sales – Life Science)

We are seeking an Account Manager with experience working with/in the life science industry to a top leading MNC. You will build strong customer relationships, drive revenue growth, and oversee account strategies with support from teams across our network.

Responsibilities:

• Build and maintain strong customer relationships to ensure long-term partnerships.
• Drive sales growth through efficient processes and strategies.
• Understand customer needs and ensure they are met.
• Lead customer proposals and presentations.
• Plan and implement strategies to retain and grow accounts.
• Act as the main point of contact for customer concerns and escalations.
• Support bids and RFQ processes as needed.
• Conduct business reviews and manage virtual teams.

Requirements

• 5+ years in account management or sales in life science or related industry.
• Strong communication, teamwork, and interpersonal skills.
• Proven ability to manage large (MNC) accounts and work with cross-functional teams.
• A degree in Business or a related field is preferred.
• Familiarity with supply chain / logistics sector is a plus.

Location : Central

Kindly indicate your current/last salary details and your notice period

Interested candidates kindly forward your CV to [email protected] (Margaret Lee Hsin-Hua, Reg No: R1547495). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential.

PeopleSearch Pte Ltd

EA License No: 16S8057

5 / 5.5 / 6 Days including Weekends and Public Holiday (depends on the roster)
Retails Hours (depends on the location)

Basic + Commission!

Responsibilities

• Deliver exceptional and professional client service to customers at roadshow booths regarding unsecured loan facilities.
• Tailor approach based on individual customer needs and preferences.
• Stay up to date with product knowledge, market trends, and competitor offerings.
• Collaborate with team members and provide valuable insights, feedback, and suggestions to improve sales processes, promotional strategies, and customer engagement.
• Ensure prompt and accurate submission of customer applications, maximizing the bank's profitability and customer satisfaction.
• Actively contribute to business growth by proactively acquiring new customers.

Requirements

• Fresh graduate is welcome / Candidates who possess a strong sales-driven mindset and are specifically seeking sales-oriented roles are welcome to apply (No prior relevant experience is required)

Please submit your updated resume by using the APPLY NOW BUTTON

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We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

Monday - Friday
8.15am - 6pm

Location: Tuas

Responsibilities

• Able to read and understand technical drawing well
• Setup & operate wirecut and EDM machines
• Operate both Precision and Conventional wre-cut and EDM machines
• Achieve the required dimension (High Precision Accuracy)
• Perform machine preventive maintenance
• Maintenance housekeeping, safety of the work station and machines
• Uphold the high quality and accuracy of specifications at all time
• Ability to multi-task

Requirements

• 2-3 years in High Precision Machining
• Able to work independtly
• Good player, able to work as team

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

5 days/week (include weekend)
Retail hour (44 hours)

Location: Islandwide, depends on site posted

Basic + VB + Shop incentive!

Responsiblities

• Achieve both the sales and qualitative objectives set for stores.
• Build, motivate and manage the team, define and build the necessary structure.
• Establish plans and allocate the daily tasks to team members.
• Manage, train and motivate the team.
• Motivate and improve the service level according to company directives by continuously evaluating the quality of service/messages and give individual feedback to the team of store staff.
• Train and coach the store staff to respond in a manner that corresponds to company directives.
• Organize and optimize the smooth running of the store in accordance with the service directives.
• Anticipate the requirements for each area of activity and ensure continually adequate stocks, place orders, check the deliveries.
• Define the optimal delivery plan (frequency/cost/product availability) and optimize the stock holding areas.
• Interface with Management and other departments; Establish annual sales and work level forecasts and provide necessary info/reporting to management or other departments as required.
• Any other ad hoc duties assigned.

Requirements

• Sales-driven and results oriented.
• Strong passion for customer service.
• Relevant experience in the retail industry.
• Good interpersonal and communication skills.
• Energetic and motivated with a positive mindset.
• Able to lead and motivate the team.
• Good knowledge of MS office tools.
• Able to work on rotating shift, weekends and public holidays.

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

Required Qualifications

• Passionate about the cause of education
• Dedicated and patient
• Team spirit
• Bachelor's Degree in the related subject

Job Timings (Non-negotiable)

• 44 Hours Per Week
• Monday - Thursday: 11:30 am - 07:30 pm
• Saturday and Sunday: 09:30 am - 06:30 pm
• Lunch Break: 01:30 pm - 02:30 pm

Overtime

Employees who work more than the stipulated working hours on any day will be paid for any additional hour worked at 1.5 times their hourly basic rate of pay.

Public Holidays

• The Centre will remain closed on all public holidays EXCEPT Labour Day and Vesak Day. The board examinations are held in May/June and we are duty bound to our students to remain open on these two public holidays to assist them in their final examination preparation.
• Employees who work on Public Holidays (9:30AM - 6:30PM) will receive twice their basic rate of pay for work on that day.

Leave Policy

• Annual leave : 18 days
• Birthday Leave: 1 day
• Family Care Leave : 2 days
  (the above unused leave will be encashed at the end of the year)
• Medical leave: 14 days
• Hospitalisation Leave : 60 days (includes 14 days of medical leave)
  Unused leaves will lapsed at the end of the year
• Maternity leave :16 weeks (For Singapore Citizens)
  8 weeks (For others)
• Paternity leave :2 weeks (If employee has worked for 3 continuous months and child is a Singapore Citizen)
  For Others, as per mutual agreement between employee and employer.
• Childcare Leave :6 days (if child is less than 7 years, and a Singapore Citizen)
  2 days (if child is less than 7 years, for others, as per Employment Act)
• Compassionate Leave: 3 days (can be availed only once in a year)

Insurance

• General Physician (GP) : No Co-Pay (Panel Clinic)
• Specialist (SPL) : $2000 per calendar year (No Panel)
• Hospitalisation (Hosp) : $60000 Annual (Govt Restr, 4 bedded Ward)
• Dental Plan (DP) : $1000 per calendar year, 10% Co-Pay (No Panel)

Resignation Procedure

• Employees are free to resign with just a 1-day notice period. We understand that new opportunities can arise, and we don’t want a lengthy notice period to stand in your way. Our priority is to support your success, whether that’s with us or in your next role.

Walk-in interview

Monday Tuesday, Wednesday, Thursday, Saturday and Sunday at 2:30PM at MathVision Campus, Tekka Place, Annex Block, #01-51 to #01-54 and #01-55 to #01-59, 2 Serangoon Road, Singapore

Please whatsapp your resume or education qualifications at +65 8868 3475

Monday - Friday
Rotating Shift
8.15am - 5.30pm / 11pm - 8.30am

Location: Tuas

Responsibilities

• Must be able to read and understand technical drawing
• Operate both conventional and precision CNC-Milling machines
• Achieve required dimension with high precision accuracy
• Maintenance housekeeping, safety of the work station and machines
• Uphold the high quality and accuracy of specifications at all time
• Able to multi-task

Requirements

• Minimum 2 to 3 years’ experience in precision machining
• Knowledge in measuring equipment, example height gauge, micrometer, and smart scope

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

Monday – Thursday (8am – 6pm)

Friday (8am – 5pm)

Location: Macpherson

Basic + AWS + VB!

Responsibilities

• Support for Warehouse operations
• Work with Delivery driver on daily deliveries to assigned destinations
• Loading and unloading goods at warehouse and at delivery destinations
• Receiving, sorting and putting away of incoming goods.
• Picking, packing/palletizing goods
• Stock-taking
• Sorting returned goods
• Housekeeping
• Other warehouse logistics activities as and when assigned

Requirements

• Physically fit

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

We regret to inform that only shortlisted candidates would be notified

We wish you all the best in your career search.

You are welcome to visit our website at www.rdtpsg.com

RD Trusted Partners Pte Ltd| EA License No.: 24C2352

Chee Wei Qian (Sandy) | EA Personnel No.: R24125920

The Dementia Research Centre (Singapore) [DRCS], part of the Lee Kong Chian School of Medicine (LKCMedicine), is dedicated to advancing research on cognitive impairment and dementia spectrum disorders. As a multi-study research center, DRCS focuses on the pathobiology of Asian dementia and innovative models of care for cognitive disorders. Led by Associate Professor Nagaendran Kandiah, an internationally renowned clinician-scientist, DRCS is spearheading transformative research initiatives like the BIOCIS study, CHOICE project, and AMBITION study.

Position: Research Assistant

We are seeking a highly skilled and motivated Research Assistant or Research Associate with a Bachelor’s or Master’s in Biomedical Engineering or Neuroscience or Psychology and related fields, to contribute to ongoing and future research initiatives, including BIOCIS (Biomarkers and Cognition Study, Singapore), CHOICE (Cerebrovascular Health, Optical Imaging, Cognition, and Evaluation of Lifestyle Intervention Study), and AMBITION (Asian Mild Cognitive Impairment – Blood-based Biomarkers, Ischemia, and Neuroinflammation Changes in the Asian Brain). The successful candidate will play a key role in advancing neuroimaging and optical imaging research in dementia.

Key Responsibilities:

Data Management and Analysis:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging and eye imaging studies
• Collaborate with data analysis teams to ensure integrity and clarity in the research outputs across all studies.
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Collaboration and Communication:

• Work collaboratively with multidisciplinary teams within DRCS and external collaborators to ensure the success of multi-study initiatives.
• Communicate research findings in peer-reviewed publications, internal seminars, and conferences.

Requirements:

• Bachelor's or Masters in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging or eye imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

The Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. Learn more about ROSE Lab at http://rose.ntu.edu

Key Responsibilities:

The Research Associate will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, as well as Hallucination Detection and Mitigation. The roles of this position include:

• Working in research teams on Multimedia Forensics projects in Generative AI, Hallucination Detection, and DeepFake Detection.
• Creation of large-scale datasets for research and algorithm evaluation.
• Be part of a research team in the execution of funded research projects.
• Assist in drafting of proposals for research grants in the above areas.

Job Requirements:

• Masters in Computer Science, Data Science, Electrical/Electronic Engineering, or related field.
• Research experience in Computer Vision, Multimedia Forensics, Deep Learning, Trustworthy Machine Learning, and AI Security, as well as working with large-scale datasets.
• Experience with deep learning for image/video understanding, Generative AI, hallucination detection & mitigation, and adversarial/backdoor/poisoning attack/defense is essential.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
• Good inter-personal skills, with the ability to work with people from varied backgrounds.
• Excellent verbal and written communication skills.
• Entry level candidates are welcome to apply

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

RESPONSIBILITIES

• Develop and execute sales and marketing strategies to achieve business objectives for ITS’s range of Medical Equipment & Consumables;
• Establish and maintain strong relationships with key customers, including hospitals, clinics, and healthcare professionals to grow our product portfolio;
• Research and analyze market and competition to identify potential opportunities and to keep tabs on what’s trending;
• Carry out training and product awareness to support the sales team;
• Partake in sales and marketing budget management and sales performance forecasting to safeguard alignment with business objectives;
• Collaborate with cross-functional teams to ensure seamless execution of sales and marketing strategies.

REQUIREMENTS

• Bachelor's degree in a relevant field (business, marketing, life sciences) preferably with background of Diagnostic Imaging, Radiology, Ultrasonography;
• Minimum 5 years of experience in sales and marketing, preferably in medical imaging solutions, with some exposure in working within a high-performing sales team.
• Proven track record of achieving sales targets, expanding customer base, and driving business growth;
• Strong presentation and influencing skills to build lasting customer rapport;
• Excellent communication and interpersonal skills, with ability to build strong relationships with customers, stakeholders, and cross-functional teams.

BENEFITS

• Attractive remuneration package with sales incentives and commission
• Product training to augment exemplary customer service

Position Title: Accountant

Job Summary: To be responsible for managing and providing timely and accurate financial information, maintain financial records, prepare financial statements and ensure compliance with government regulations. You will work closely with other departments to ensure financial data is accurate and up-to-date.

Responsibilities:

• Maintain financial records and ensure accuracy of data and information

• Prepare full set of financial statements including balance sheets, income statements, and cash flow statements

• Help to manage accounts payable and receivable

• Ensure compliance with accounting regulations and standards

• Prepare tax returns (GST) and other statutory filings

• Help to develop and maintain accounting policies and procedures where necessary

• Liaise with external auditor, tax agent and authorities

• Handle other ad-hoc financial and accounting tasks as and when required.

Requirements:

• Bachelor's degree in Accounting, ACCA Part 3 or equivalent

• At least 2 to 3 years of relevant working experience

• Strong understanding of Singapore accounting regulations and standards

• Proficient in accounting software such as MYOB advantageous

• Strong analytical and problem-solving skills

• Excellent attention to detail and accuracy

• Strong communication and interpersonal skills

• Ability to work independently and as part of a team

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

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow in Structural Biology

We are currently seeking a Research Fellow specializing in structural biology at SBS. The ideal candidate should possess technical expertise and knowledge in mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination. Additionally, the candidate will provide leadership, effective communication skills, and mentorship to students within the team.

Key Responsibilities:

• Conduct research in structural biology, with emphasis on mycobacterial protein engineering, recombinant expression, enzymology, and 3D structure determination.
• Provide leadership, communication skills, and mentorship to students working in the team.

Job Requirements:

• PhD in a relevant field.
• Extensive technical experience and knowledge in mycobacterial proteins, cultivation of mycobacteria, and structural biology.

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

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

# Convenient work location nearby MRT Station (West/Central)

# Salary up to $5500 + Great Benefits

Our client, a primary healthcare institution in Singapore is currently seeking candidates to join them as an Research Analyst.

Job Responsibilities:

• Conduct statistical analyses and provide statistical support for research projects
• Managing the organization’s databases
• Perform data extraction and compile statistical data for reporting
• Assist in coordination of research projects for ethics approval and research funding

Job Requirements:

• Bachelor Degree with concentration in Statistics, Mathematics or other relevant areas
• 1-2 year of experience in statistical work involving collection, compilation and interpretation of statistical data
• Proficient in SPSS or STATA
• Strong analytical skills with ability to summarize and present data accurately
• Strong organization skills, meticulous, and able to work independently

Looking for a new job or career opportunity? Please email your detailed resume in MS Word Format to [email protected]

Johnny Low Jia Rong (Mr.)

Assistant Manager

CEI Registration No.: R21100789

Personal Data Protection

"By submitting your curriculum vitae or disclosing your personal information in connection with your job application, you are deemed to have read and agreed to the terms of our Privacy Policy, and consented to the collection, use and disclosure of your personal data by us, in accordance with our Privacy Policy. Please access our website at www.celecti.com.sg for a copy of our Privacy Policy.”

The Foundations of Thermodynamics Group is a newly formed group in the School of Humanities at the Nanyang Technological University Singapore led by Nanyang Assistant Professor of Philosophy Eugene Y. S. Chua. Its goal is to provide a space for research on all aspects of the conceptual foundations of thermodynamics, with particular focus on understanding the conceptual foundations of thermodynamics beyond the classical domain, e.g., in the quantum and relativistic domains, how thermodynamics relates to other non-fundamental domains such as fluid dynamics and neuroscience, and how it bears on questions in philosophy such as (but not limited to) questions about emergence, reduction, inter-theory relations, the nature of non-fundamental reality, the laws of nature, and the relation between symmetries and reality.

The group is seeking applications for a Research Fellow position on a 2 year contract. Successful candidates will carry out research which contributes to the group’s goals, primarily collaborating with Asst. Prof. Chua on ongoing projects while developing their own independent research projects. The ideal candidate will have a PhD in philosophy or physics, a strong research track record, a concrete proposal for a research project related to the Group’s interests, and excellent communication skills.

Key Responsibilities:

• Collaborating on Asst Prof. Chua’s projects
• Carrying out their own research projects
• Planning and organizing events (workshops, conferences, summer schools) for the Group
• Hosting visiting academics
• Presenting work related to the group’s goals at relevant conferences and workshops

Job Requirements:

• PhD in philosophy or physics
• Demonstrable research track record on topics related to the project, such as but not limited to:
  General philosophy of science
  Philosophy of physics (especially philosophy of thermodynamics and statistical mechanics)
  Demonstrable interest or experience in quantum or relativistic thermodynamics is a plus.
  Cognate topics in philosophy
  Emergence and reduction
  Inter-theory relations
  Effective realism
  Metaphysics of non-fundamental reality
  Natural kinds
  Conceptual change and conceptual engineering
  Symmetries and reality

Application procedure
Please apply by submitting the following documents in Workday:

1) Curriculum Vitae

2) Cover letter

3) Research statement

3) A research proposal outlining in detail at least one research project to be pursued during their time as a research fellow

4) At least 3 letters of recommendation

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

Role Overview

The Business Development Manager will play a pivotal role in driving the growth of LSI’s co-working laboratory business. This role is perfect for a sales-driven professional with a solid background in life sciences or related industries. The ideal candidate will have a proven track record of exceeding sales targets and building strategic partnerships.

Key Responsibilities

Sales & Business Development

• Develop and execute strategies to attract new member companies, including start-ups, scale-ups, and established businesses.
• Proactively identify and nurture leads, converting them into long-term clients for LSI’s lab spaces and services.
• Build and maintain a robust sales pipeline through direct outreach, networking, and participation in industry events.
• Establish strategic partnerships with universities, research institutions, corporates, and professional service providers to expand LSI’s network and revenue streams.

Client Engagement

• Conduct site tours and consultations for prospective members, showcasing LSI’s facilities and value proposition.
• Act as the primary point of contact for potential and existing clients, ensuring high levels of satisfaction and retention.
• Collaborate with the marketing team to execute campaigns, prepare newsletters, and enhance online and offline visibility.

Market Expansion

• Analyse market trends and competitor activity to identify opportunities for business growth.
• Drive LSI’s expansion into new markets, including collaborations with international partners.

Qualifications & Experience

• Bachelor’s degree in Life Sciences, Business Administration, or a related field; advanced degree preferred.
• Minimum of 5 years of proven sales experience in life sciences, biotech, or related industries.
• Strong network within the life sciences or co-working/laboratory spaces is highly desirable.
• Demonstrated ability to meet or exceed sales targets and KPIs.
• Excellent negotiation, communication, and presentation skills.

Personal Attributes

• Entrepreneurial mindset with a proactive approach to identifying and securing opportunities.
• Strong interpersonal skills with the ability to build and maintain relationships across diverse stakeholders.
• High degree of professionalism, adaptability, and problem-solving skills.
• Passionate about fostering innovation and community within the life sciences sector.

What We Offer

• Competitive salary and performance-based incentives.
• Opportunity to contribute to a leading-edge life sciences ecosystem.
• Collaborative and dynamic work environment.
• Professional growth opportunities within a global network.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

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

The successful candidate will join a multi-disciplinary team developing methods for the experimental synthesis of reticular materials. The vision of the team is to automate the discovery and synthesis of materials with properties that are tuned for specific applications. This position requires close collaboration with other teams, necessitating a multi-skilled individual capable of working effectively in a multidisciplinary team environment.

Key Responsibilities:

• Perform literature study
• Set up research facilities and conduct experimental work on synthesis and application of reticular materials
• Report/manuscript writing

Job Requirements:

• PhD degree in chemical engineering, materials science and engineering, or related disciplines
• Good command of English and formal writing - for research work purpose
• Adaptable and able to multi-task
• Proficient in MS office applications.

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

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.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

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

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• Preferably with at least 3 - 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

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.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, 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.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, 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.

Responsibilities:

• Support the head of research in formulating real estate strategy for the REIT’s balance sheet assets and fund vehicles
• Collect and prepare macroeconomic and real estate research materials as necessary
• Conduct research and analysis on Asian real estate markets, prepare presentations
• Provide analysis for pitchbooks, and support related capital raising for real estate funds
• Produce written papers on topical real estate related issues

Requirements:

• Bachelor degree with major in either economics, finance, statistics, mathematics, real estate, or business
• A keen interest in real estate markets is an advantage but not essential
• Strong analytical and numerical skills
• Excellent excel spreadsheet and PowerPoint skills
• Strong communication and writing skills in English
• Good presentation and interpersonal skills
• Able to multi-task, a fast learner with a positive attitude
• Dynamic, flexible and teamwork player

About us

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description

We are seeking a research officer to drive data management and analysis of large-scale biomedical multi-omics and clinical data. The candidate will be expected handle a number of tasks, including curate and QC incoming large-scale multi-omics data, implement and benchmark bioinformatics workflows, perform downstream analysis, develop file catalogues, databases, knowledge graphs and visualization of datasets, and implement international data standards to ensure data interoperability. The successful candidate will also extensively mine, analyze and curate publicly available resources and develop annotation tools and databases to link up with available datasets of different diseases, including cancer and metabolic diseases. The candidate will also manage and maintain all data in a database structure and develop a searchable web portal for researchers and clinicians. This position offers the candidate an opportunity to gain expert knowledge in multi-dimensional data from cancer and other diseases, and become computationally competent in delivering these knowledge to the end-user.

Requirements:

• Bachelor/Master degree in Bioinformatics, Computational Biology, Data Science, Computer Science, Engineering, Genetics, Biology or a related field.
• At least 5 years of relevant experience
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps)
• Highly experienced with Unix/Linux environment and cloud architecture (AWS)
• Familiar with database development (e.g. SQL), BI and AI/ML.
• A background in life sciences, biology, biomedical informatics or clinical research is preferred.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project management and organizational skills will be very valuable.

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.

Responsibilities:

• Support the head of research in formulating real estate strategy for the REIT’s balance sheet assets and fund vehicles
• Collect and prepare macroeconomic and real estate research materials as necessary
• Conduct research and analysis on Asian real estate markets, prepare presentations
• Provide analysis for pitchbooks, and support related capital raising for real estate funds
• Produce written papers on topical real estate related issues

Requirements:

• Bachelor degree with major in either economics, finance, statistics, mathematics, real estate, or business
• A keen interest in real estate markets is an advantage but not essential
• Strong analytical and numerical skills
• Excellent excel spreadsheet and PowerPoint skills
• Strong communication and writing skills in English
• Good presentation and interpersonal skills
• Able to multi-task, a fast learner with a positive attitude
• Dynamic, flexible and teamwork player

Requirements

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.