About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Cross-domain research on reinforcement Learning and Large Language Model based agents (LLM-based agents)

- Focus on one of the following application scenarios: Math problem solving, Text game AI

Qualifications

Minimum Qualification:

- Minimum PhD degree in any of these faculties: Machine Learning, Artificial Intelligence, Statistics, or related fields

- Strong skills in development of technologies in some of the following research directions: Reinforcement Learning, Multi-Agent Reinforcement Learning, Game Theory, Large Language Models

- Strong analytical and problem-solving skills

- Strong computer science and coding skills

- Work and collaborate well with team members

- Candidates with top conference papers or influential open source projects

Preferred Qualification:

- Working experience on the aforementioned application scenarios

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

The quantitative researchers design and backtest trading models, which form the most important elements in the final trading strategies. They work in groups or independently, depending on the projects and/ or the researchers’ preference. Creativity and innovation are what we are looking for in this position. We are searching for talented researchers to fill future positions.

*You may be required to do an internship first which will be evaluated for a full-time offer.

Qualifications

• Pursuing a Master’s or PhD in science, engineering, computing or related field. Undergraduates with exceptional performance will also be considered.
• Graduating between 2024 to 2025
• Solid background in mathematics
• Strong programming skills
• Strong problem solving and quantitative skills
• Past experience in quantitative research and/or academic research
• Possess the desire and will to learn complicated topics, solve difficult problems, and handle tedious tasks carefully

The following are bonuses

• Comfortable with Linux/Unix
• Familiar with at least one scripting language (e.g. python, MATLAB, etc.)

The Research Department at INSEAD is currently seeking dedicated and talented Pre-Doctoral Researchers to join our pool of predocs in our campus in Singapore. The position is for one year, with the possibility of renewal at the end of the first year upon evaluation. Candidates applying for positions based in Singapore need to already have authorization to work in Singapore. Besides resident positions, in certain cases, we might also offer part time remote positions on short term assignments.

As a Pre-Doctoral Researcher, you will have the opportunity to collaborate with leading professors in various academic areas, including Accounting (ACC), Decision Sciences (DSC), Entrepreneurship and Family Enterprise (EFE), Economics & Political Science (EPS), Finance (FIN), Marketing (MKT), Organisational Behaviour (OB), Strategy (STR) and Technology & Operations Management (TOM).

Position Overview:

This role is designed for exceptional final-year students or recent Master's graduates with an outstanding academic record and a genuine passion for research. Our ideal candidates are motivated individuals eager to enhance their research skills while working alongside renowned scholars, with the aim of pursuing a Ph.D. in the future. Previous Pre-Doctoral Researchers at INSEAD have successfully transitioned to Ph.D. programs at prestigious institutions such as INSEAD, Harvard, Stanford, Caltech, Columbia, Sciences Po, LSE, Stockholm School of Economics and others.

Ideal Candidate:

Our ideal candidate is someone who:

· Is completing a Bachelor's or Master's degree or has recently graduated from a top institution

· Has evidence of outstanding academic achievements and a strong quantitative or qualitative background (research work samples are a plus)

· Has a clear ambition to pursue a Ph.D. in the future

· Demonstrates proficiency in research tools and packages (R, Python, Matlab, SAS, Stata, SPSS, etc.)

· Excels in detail-oriented research tasks and data analysis

· Can work independently, manage timelines, and meet faculty expectations

· Possesses previous research experience and knowledge of econometrics (strong pluses)

· Is fluent in both written and spoken English

Responsibilities:

As a Pre-Doctoral Researcher your responsibilities will include:

· Assisting with quantitative and/or qualitative research projects across academic areas

· Brainstorming potential research questions

· Conducting academic literature searches and reviews

· Managing and analyzing data using software packages like R, Python, Matlab, SAS, Stata, SPSS, etc.

· Performing statistical data analysis, interpreting findings, and contributing to write-ups

· Designing and conducting experiments

How to Apply:

To apply for this position, please submit the following documents to [email protected]with the subject line including this job reference followed by your surname: "SGPRSH, Your Last Name”

1. A cover letter (max. two pages) explaining your research experience/interest, competencies, and preferred academic areas (ranked if multiple)

2. A detailed CV with contact details of two potential references

3. A copy of your official academic transcripts and detailed marks

4. A writing sample or dofile showcasing one of your core competencies

Selection process:

Applications will be reviewed on a rolling basis until the position is filled. Early applications are encouraged. We will acknowledge all applications submitted but due to the large volume of applications we receive, we will only contact shortlisted candidates. Please make sure that your application is complete and includes all the required documents mentioned above.

INSEAD is committed to fostering a diverse and inclusive academic community. We consider applicants for employment without regard to factors such as gender, race, sexual orientation, disability, or nationality.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As a Quantitative Researcher of Crypto Assets, you will have an opportunity to combine the disciplines of risk management, research and technology to create optimal trading and investment strategies within the regulatory framework. You will work closely with experienced traders, software engineers and quantitative researchers. You will gain exposure to multiple asset classes through hands on trading experience and data analysis. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior.

How you will make an impact…

• Investigate the potential application of existing strategies to new products
• Quantitatively analyze trade data and perform post-trade analysis of strategies
• Assist in the development of analytical tools
• Communicate relevant news, market events, and system behavior to team members in a clear and concise manner
• Be willing to challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team

What you bring to the team…

• A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field
• Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills during time-sensitive situations
• A deep curiosity of analyzing large data sets using your knowledge of probability and statistics
• Familiarity programming in Python, C++, C or similar languages
• Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments
• Can advocate for your perspectives on trading strategies and risk in a concise manner to the team
• The ability to communicate effectively and work well in teams

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,200 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-BM

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Arthrex, Inc. is a global medical device company and a leader in new product development and medical education in orthopedics. Join our talented team at a global medical device company focused on Helping Surgeons Treat Their Patients Better™.

Main Objective:

Provide technical and clinical support for the training curriculum that addresses the changing needs of Arthrex employees, Arthrex business partner representatives, and healthcare professional customers. Organize and conduct healthcare professional clinical skills labs and training sessions offered by Arthrex. Assist as a technical and clinical topic advisor for Arthrex and all departments there-in.

The individual must be prepared to work on weekends and public holidays as and when needed.

Essential Duties and Responsibilities:

1. Develop and maintain a thorough understanding of current and classic concepts in orthopedics, the Arthrex product line, and clinical procedures supported by Arthrex products; be able to articulate and demonstrate these concepts and procedures to Arthrex employees, business partner representatives and healthcare professional customers.

2. Participate in Employee and Arthrex business partner representative medical education programs.

a. Carry out the objectives created for Arthrex representative product and procedure training programs.

b. Provide input for Arthrex business partner representative medical education courses and surgical skills lab agendas.

c. Teach the safe and effective use of Arthrex products and procedure-specific surgical and non­ surgical techniques using Arthrex instruments.

d. Teach general orthopedic and medical condition topics including current and classic concepts of patho-anatomy, biomechanics, and pathology classifications related to Arthrex products and procedures.

e. Coordinate allocation of representative onboarding, and initial online, hands-on and intermediate training program.

f. Assist in the development of written digital learning materials for the purpose of Arthrex representative education and training.

3. Participate in healthcare professional medical education and training programs.

a. Carry out the objectives created for healthcare professional product and procedure training programs.

b. Provide input for healthcare professional medical education courses and single day lab agendas.

c. Teach the safe and effective use of Arthrex products and procedure-specific surgical and non­ surgical techniques using Arthrex instruments.

d. Teach general orthopedic and medical condition topics including current and classic concepts of patho-anatomy, biomechanics, and pathology classifications related to Arthrex products and procedures.

e. Participate as a liaison with Arthrex business partners and their representatives to assist with organization and implementation of their local medical education and surgical skills lab training p programs.

f. Assist in the organization and execution of cadaver surgical skills workshop.

4. Assist with reviewing written and digital material developed by other Arthrex departments to advise on clinical accuracy of these materials.

5. May supervise other employees in the future.

6. Travel up to 20% of the time.

Education and Experience:

Bachelor' s degree or equivalent in one of the bio-medical sciences or related fields is required.

Experience as a surgical nurse, surgical technician, medical doctor, doctor of osteopathic medicine or orthopedic surgeon, working in orthopedic surgery field is preferred.

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

COMPANY DESCRIPTION

Since October 2011, Thye Hua Kwan Moral Charities (THKMC) was incorporated as a charity with an IPC status to provide multiple social and welfare services to the community at large.

THKMC provides assistance to the various groups in our community through more than 60 programmes and services for the elderly and the sick, families, persons with disabilities, and children. We help anyone in need with full respect to their race, colour, creed, language, culture and religion. We have more than 90 programmes and services, reaching out to more than 55,000 people in the community.

Together, as ONE THKMC Empowering the Community.

RESPONSIBILITIES

• Engage relevant internal and/or external stakeholders to identify research and evaluation needs/questions
• Conduct literature reviews
• Conceptualize and design the studies/projects including the methodology (sampling method, test materials/surveys to be used etc…) and the timeline (project milestones)
• Manage all aspects of the studies/projects from start to completion
• Conduct fieldwork, interviews, experiments, concept tests, etc. to gather data
• Conduct data preparation and cleaning on the gathered data
• Conduct statistical analyses on the cleaned data
• Prepare presentations and reports for internal/external stakeholders
• Prepare presentations for conferences and manuscripts for journal publications

• Master's degree and above in social work, psychology, or related fields
• At least two years of relevant experience is preferred (fresh graduates with research being a core component of their degree, are welcome to apply)
• Experience with at least one quantitative analysis software such as SPSS, STATA, R and/or similar tools
• Strong command of written and spoken English
• Analytical, organized, and good interpersonal skills
• Prior experience in social service sector would be an added advantage

Core Responsibilities

• Provide clinical support & trouble shooting of medical equipment to doctors, nurses, and other KOLs
• Assist medical professionals to become familiarised with the medical equipment (merits, proper clinical procedures, and usages of the devices)
• Organise and conduct training sessions - perform on-site and on-the-job training on the principal’s products to health professionals in hospitals
• Answer any queries relating to the product range
• Monitor and promote utilisation of products
• Participate in training opportunities to be updated on product knowledge and market trends (workshops, training, conferences)
• Participate in case reviews - attend procedures in operating rooms of the hospital when needed
• Act as a clinical support consultant to surgeons and operating room staff during procedures in the safe and proper use of products and related techniques
• Provide coordination and logistic support in properly ordering, transporting, setting up and reassembling surgical instrument sets inside sterile processing departments at hospitals and surgery centres
• Identify business opportunities and develop strategic accounts
• Establish strong relationships with various KOLs to promote products
• Work closely with principals to be equipped with relevant understanding of new technology and devices in the department
• Participate in promotional activity to increase product awareness in the market
• Develop and implement plans for the product line (make recommendations into current product pipeline)

Pre-Requisites (Qualifications & Experience)

• Diploma or Degree in Nursing, Biomedical, Biotechnology, Biochemistry or Medical Technology or ScienceCandidates with nursing background will be an advantage
• Candidates with more than 1 year experience will have an added advantage
• Fresh grads are welcome to apply
• Able to travel overseas if required
• Able to work overtime as and when required (includes weekends)
• Must be comfortable in supporting cases in Operating Theatres

Job Position

Clinical and Practicum Administrator

Key Responsibilities

• Assists Clinical and Academic Director
• Support Practicum Administration
• Manage Short Courses

· Secure and administer Practicum Sites placements and clinical supervisors for enrolled students

· Attend to and resolve students’ practicum and clinical supervision-related concerns and feedback

· Track, monitor and verify documentation submissions

· Support Clinical and Academic Director

Requirements

· Good command of the English language

· Excellent spoken and written communication

· Proficient in Microsoft Office and PowerPoint

· Highly motivated with good initiatives

· Work independently

· Certificate in Counselling is an advantage

Benefits

· 14 days of annual leave

· 60 days of medical and hospitalisation leave

· Medical reimbursement of $500 per annum

· Group Hospitalisation Insurance

· Personal Accident Policy

· Taxi reimbursement (for work done beyond 8.00 pm)

. 40-hour (instead of 44-hour) work week for designated months

JOB SCOPE

1. Responsible for SOP of Medicine Clinical;

2. Plan, develop, oversee and monitor progress of clinical development projects;

3. Evaluate the safety information of the project and ensure the regulatory compliance of the safety report;

4. Track and analyze the domestic and foreign medical trends and scientific research trends of cell therapy, and understand the progress and trends in the field;

5. Establish good cooperative relations and conduct professional communication with clinical experts and researchers, clinical trial institutions, CROs and other partners;

6. Contribute medical inputs to clinical protocols, institutional review board submissions, study reports, regulatory documents and scientific manuscripts;

7. Act on behalf of the Biosyngen team, as assigned by the management;

EXPERIENCE REQUIREMENTS

1. Professional background in the medical or life sciences (e.g. MD, Ph.D., PharmD, pharmacist), ideally with a minimum of 10 years in a pharmaceutical or biotech company, or public healthcare institution;

2. Able to independently design and write medical plans, minimum of 5 years of clinical medical plan writing experience;

3. Competency in the conduct and monitoring of clinical trials and clinical development projects, including the regulatory submission process and guidelines;

4. Familiarity with oncology clinical research and therapeutic development. Prior experience with immune oncology projects will be an advantage;

As a clinical research coordinator, you will be actively involved in coordinating clinical trial activities according to the study protocol and in compliance to the ICH Good Clinical Practice guidelines and the Health Products (Therapeutic Products) Regulations under the Health Product Act.

You will support and assist the Principal Investigator in the following trial related activities:

• Patient screening and recruitment,
• Monitoring subject’s compliance to their treatment and follow-up,
• Data collection and management including resolving data discrepancies,
• Coordinating the collection of biological specimens,
• Monitoring of adverse events and safety reporting,
• Maintaining and organising of investigator site files, preparation and submissions to the ethics committee and relevant local health authorities,
• Tracking of trial expenditures and timely invoicing.

Requirements:

• Degree in Life Sciences/Nursing
• OR Diploma in Nursing with minimum 6 years working experience as CRC
• 2 years of related working experience will be advantageous
• Excellent time-management and communication skills
• Able to work independently and as a team
• Detail-oriented and self-motivated
• Good grasp of MS Office applications

The Regional Clinical BD Manager is primarily responsible for strategizing, planning and executing for business growth. The job holder manages the Principal to develop new customer segments, create demands, identify opportunities, source for leads, engage the prospects, follow through and secure the deals to meet/exceed the sales targets, as well as to engage, train, service and support the customers and users on an on-going basis.

The Regional Clinical BD Manager also works closely with the Managing Director to drive and foster a culture of accountability, performance, excellence, innovation and continuous improvement.

RESPONSIBILITIES

1. Strategic Development and Sales Management

• Drive the pursuit of the company’s mission, vision and core values to foster a committed, competent and growth-oriented workforce.
• Strategise and plan for business growth to achieve the overall financial performance targets and sales targets for various products relevant to different regions.
• Drive a culture of effective cost management and resource optimisation.
• Lead change management in an integrated manner, lead transformation projects and deal with issues to improve organisational agility and performance.
• Foster strategic business partner relationships with stakeholders to further the Group’s business objectives

2. Branding, Marketing and Products Development

• Oversee the organising of marketing and promotion events and activities, education and collaboration with Key Opinion Leaders and suppliers.
• Formulate demand creation strategies and new product service offerings, sharpen sales channel utilisation and lead new business initiatives to improve revenue streams and meet market demands
• Continually engage customers and users to understand their evolving needs and introduce new products and solutions to meet their needs.
• Lead the scanning and assessment of industry developments, competition landscape customers’ evolving needs, government initiatives and regulatory changes to identify and seek business opportunities.
• Conceptualise and decide on branding matters, marketing positioning and communications, as well as review and approve marketing materials/collaterals
• Support and facilitate the country directors and business unit managers to formulate and execute sales plans and activities
• Continually review the portfolio of solutions and products and decide on initiatives to boost sales, maintain profitability or enhance customer stickiness
• Identify, source and introduce new solutions and products that are of interest and value to customers.
• Lead the launch plans, training & competency assessment to support the roll out of new products

3. Process Efficiency and Adoption of Technology

• Provide oversight and direct the improvement of business processes and work procedures to raise productivity and efficiency
• Direct and oversee implementation of customer relationships management and process improvement projects, jointly with the local Offices
• Critically oversee cost management ensuring that resources are optimally utilised, wastages are minimised, and inventory is moving and at optimal level.
• Drive the identification and implementation of new technologies to enhance business

REQUIREMENTS

• Degree in Business Management or Healthcare related discipline
• Minimum 10 years of relevant working experience in commercial / clinical role with at least 3 years in a manager role
• Familiarity with the medical devices
• Leadership and managerial skills and experience

If you are keen to develop a career and make a mark in the medical sector within a dynamic and fast-scaling organization, and also to make a difference in the medical industry, we invite you to apply online with a comprehensive resume.

We regret to inform that only shortlisted candidates will be contacted

Roles & Responsibilities:

• Set up and manage the clinical laboratory with MOH license and other licenses such as College of American Pathologists (CAP), fire safety, etc.

· Carry out day-to-day laboratory operations.

· Establish, implement and maintain laboratory protocols and standard operating procedures (SOPs).

· Carry out validation and monitoring of test procedures and protocols to achieve required precision and accuracy.

· Perform, record and interpret results of quality control procedures.

· Carry out and monitor corrective and preventive action implementations.

· Establish and carry out risk assessment for the laboratory.

· Set up and manage laboratory information management system (LIMS).

· Liaise with partners to carry out laboratory audits and proficiency testing.

· Troubleshoot and resolve laboratory issues.

· Manage laboratory inventory, including procurement of consumables, reagents, equipment, and fixtures.

· Liaise with vendors on the servicing, maintenance and repair of laboratory equipment.

· Ensure upkeep of the laboratory premise.

· Recruit, train and manage clinical laboratory staff.

· Coordinate clinical and research projects with partners and clients.

· Plan and monitor the laboratory operations budget and P&L.

Requirements:

• Degree in Biochemistry, Biomedical Science, Medical Laboratory Technology or related discipline.

· Minimum 5 years of experience in a clinical laboratory setting.

· Experience in setting up laboratory for MOH license or other accreditations.

· Good laboratory and strong analytical skills.

· Able to work independently and complete assigned tasks in a timely manner.

· Meticulous and well-organized.

· Excellent interpersonal and communication skills.

· Highly motivated and willing to learn.

Roles & Responsibilities:

• Set up and manage the clinical laboratory with MOH license and other licenses such as College of American Pathologists (CAP), fire safety, etc.

· Carry out day-to-day laboratory operations.

· Establish, implement and maintain laboratory protocols and standard operating procedures (SOPs).

· Carry out validation and monitoring of test procedures and protocols to achieve required precision and accuracy.

· Perform, record and interpret results of quality control procedures.

· Carry out and monitor corrective and preventive action implementations.

· Establish and carry out risk assessment for the laboratory.

· Set up and manage laboratory information management system (LIMS).

· Liaise with partners to carry out laboratory audits and proficiency testing.

· Troubleshoot and resolve laboratory issues.

· Manage laboratory inventory, including procurement of consumables, reagents, equipment, and fixtures.

· Liaise with vendors on the servicing, maintenance and repair of laboratory equipment.

· Ensure upkeep of the laboratory premise.

· Recruit, train and manage clinical laboratory staff.

· Coordinate clinical and research projects with partners and clients.

· Plan and monitor the laboratory operations budget and P&L.

Requirements:

• Degree in Biochemistry, Biomedical Science, Medical Laboratory Technology or related discipline.

· Minimum 5 years of experience in a clinical laboratory setting.

· Experience in setting up laboratory for MOH license or other accreditations.

· Good laboratory and strong analytical skills.

· Able to work independently and complete assigned tasks in a timely manner.

· Meticulous and well-organized.

· Excellent interpersonal and communication skills.

· Highly motivated and willing to learn.

Quantitative Trading Engineer / Quantitative Researcher

Working day: Monday to Friday, 9am to 6.30pm

Working location: Raffles Place

Salary: Discuss during interview

Responsibilities

Strategy Development:

• Use AI technologies such as machine learning and deep learning to intelligently optimize investment strategies and improve the performance of strategies in actual transactions.
• Extract predictive signals from financial data through both traditional statistical analysis methods and cutting-edge machine learning techniques.
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities.

Data Analysis：

• Collect and analyze large financial datasets (market data, news, social media, etc.).
• Work with large data sets to predict and test statistical market patterns, combining knowledge of systems, mathematical techniques, and trading to identify the best places to improve the trading system.
• Build and optimize feature engineering pipelines to improve model prediction accuracy.

Financial Modeling:

• Construct, back-test, maintain, and improve financial models to support trading activities.
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into code
• Conduct research and statistical analysis to build and refine monetization systems for trading signals
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Build regression, classification, reinforcement learning and other models for market forecasting and trading decisions.
• Tuning the model's hyperparameters to improve model performance and stability.

Strategy backtesting and real-time testing:

• Backtest historical data to evaluate the strategy's yield, volatility, drawdown and other indicators.
• Deploy the strategy to the real-time environment, track performance and continuously optimize.

Requirements

• Master’s degree or above in Statistics, Mathematics, Applied Mathematics, Computer Science, Financial Engineering or equivalent.
• At least 2 years of experience in quantitative trading and machine learning modeling.
• Proficient in programming languages ​​such as Python, C++, Java, etc.
• Familiar with common machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Familiar with quantitative trading systems, data flows and algorithms.
• Deep understand the structure of financial markets and be familiar with markets such as virtual currencies, stocks, futures, and foreign exchange.
• Experience in large-scale data processing, proficient in using SQL, NoSQL, Hadoop and other tools.

Bonus Skills

• Experience in developing high-frequency trading strategies will be an advantage.
• Participated in AI competitions (such as Kaggle) or published papers in top conferences (such as NeurIPS, ICML) will be an advantage.
• Familiar with cutting-edge AI technologies such as reinforcement learning, and generative adversarial networks (GANs) will be an advantage.

Our company is growing rapidly and is looking for a quantitative researcher. We appreciate you taking the time to review the list of qualifications and to apply for the position. If you don’t fill all the qualifications, you may still be considered depending on your level of experience.

Responsibilities for QUANTITATIVE RESEARCHER

The primary responsibility is to apply mathematical and statistical techniques to address practical investment challenges, shape our insights into how the markets will behave and develop investment models to generate new alpha through quantitative, event-driven signals.

• Identify, collect, and manipulate large sets of financial markets, industry-specific, and macroeconomic data to analyse and forecast business, industry and economic conditions and trends required for alpha generation;
• Monitor any relevant academic and financial market research to identify and synthesize secondary, qualitative, and/or and behavioural data that may be difficult to gather via primary research to complement primary research findings and expand the collection of market analytics and strategy signals;
• Apply tick-level data analysis and real-world trading experimentation to test the efficacy of factors and define strategy decision-making and asset allocation decisions across asset classes;
• Work with execution team on trading strategies and analysis to ensure current and proposed ideas are implemented, monitored, and executed efficiently and accurately;
• Regularly present findings and ideas to management team.

Qualifications

• Bachelor or Master’s Degree in related fields such as Statistics, Computer Science, Economics, Mathematics or equivalent
• Programming and database skills like MATLAB, Python, Bloomberg, SQL, VB, Microsoft Office
• Demonstrated ability to complete high-level investment related research independently
• Preference given to candidates with hands-on experience with statistical testing, A/B testing, predictive modelling, regressions, factor analysis
• Preference given to candidates with relevant experience in algorithmic trading, automated market making, and/or proprietary trading
• Bilingual in both English and Mandarin to communicate with team members.

To train and educate medical professionals and therapists at aesthetic clinics and medical spas on the company's products and treatment protocols.

Key Responsibilities:

Product Knowledge:

• Deepen understanding of the company's product range, including technologies, ingredients, benefits, and potential side effects.
• Stay updated on the latest product information and advancements.

Treatment Protocol Development:

• Collaborate with industry experts to develop and refine treatment protocols.
• Ensure protocols align with industry best practices and regulatory guidelines.

Trainer Certification:

• Obtain necessary certifications to conduct training sessions effectively and legally.
• Maintain certifications through ongoing training and education.

Training Delivery:

• Conduct in-person and virtual training sessions.
• Tailor training content to the specific needs.
• Utilize effective training techniques, such as demonstrations, hands-on practice, and interactive discussions.

Clinical Support:

• Provide clinical support, including troubleshooting treatment issues, answering product questions, and offering guidance on patient management.
• Conduct site visits to assess training needs and provide on-the-job training.

Sales Support:

• Collaborate with the sales team to identify potential customers and provide product demonstrations and training.
• Support and contribute to sales efforts by building strong relationships with clinic staff and addressing their concerns.

Performance Evaluation:

• Track and evaluate the effectiveness of training programs through surveys, assessments, and follow-up visits.
• Identify areas for improvement and implement strategies to enhance future training sessions.

Regulatory Compliance:

• Stay informed about regulatory requirements and ensure that all training materials and practices adhere to industry standards.
• Collaborate with the compliance team to address any regulatory concerns.

Essential Skills and Qualifications:

• Tertiary Education (Diploma and above)
• Fresh graduates are welcomed
• Strong understanding of medical aesthetics, dermatology, and skincare.
• Excellent communication and presentation skills.
• Ability to build rapport and establish trust with medical and beauty professionals.
• Strong organizational and time management skills.
• Attention to details and a commitment to accuracy.
• Ability to work independently and as part of a team.
• Proficiency in relevant software applications, such as PowerPoint and CRM systems.

Responsibilities and Duties:

• Plan and coordinate the daily operations of the Hospital’s Outpatient Services to ensure efficiency and effective use of resources
• Collaborate with healthcare professionals to optimize workflows, enhance patient care processes and service quality
• Prepare and review policies, procedures and work instructions for clinical processes to facilitate patient safety and quality care
• Utilise IT systems to analyze data, prepare presentation and reports
• Coordinate internal and external stakeholders to implement new programmes/services
• Monitor project Key Performance Indicators (KPIs) and ensure timely completion
• Lead the team of Outpatient Service Associates (OPSAs) to attain service and operational excellence
• Work with internal and external stakeholders in the area of feedback management
• Perform any other responsibilities assigned.

Job Requirements:

• Bachelor’s Degree in business administration, healthcare administration or related field
• At least 3 years of experience in managing outpatient service operations
• Proficient in MS office applications (Excel, PowerPoint, Word) and data management
• Knowledge of clinical systems (SAP, EPIC and Clinic Assist) will be an advantage
• Possess good knowledge of healthcare financing schemes (e.g., Healthier SG, CHAS, Medisave and /or ILTC subsidies)
• Pleasant disposition, strong interpersonal and communication (verbal & written) skills
• Strong planning, organization and coordination skills. Have experience in data analysis
• A team player who is meticulous, result focused and manages pressure well

As a Sr. Clinical Research Associate, you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence.

You will be partnering with a well-known global pharmaceutical company with a strong portfolio in cancer, cardiovascular, gastrointestinal, infection, neuroscience, respiratory and inflammation medicines.

You will have an opportunity to work in a solid partnership and an environment driven by innovation and continuous improvement. This program is for you if you are looking for an environment where people feel they belong and are empowered to reach their full potential, perform at their best and make a valued contribution to saving lives.

What you will be doing:

• Perform all aspects of CRA duties from site selection, site initiation, through to site routine monitoring visits through to close-out visits and database lock.
• Contributes to Case Report Form (CRF) design and clinical trial document development as they pertain to clinical monitoring activities (i.e., operating manuals, monitoring guidelines, etc.);
• Involved in recruitment of potential Investigators, preparation of Independent Ethics Committee/ Independent Regulatory Board (IEC/IRB) submissions, notifications to regulatory authorities, translation of study related documentation, organization of meetings and other tasks as instructed by the Project Manager.
• Negotiates investigator budgets and assists with the execution of site contracts with support from the legal department.
• Oversees all aspects of study site management to ensure high quality data resulting in consistently low query levels and in good Quality Assurance reports.

You are:

• Degree in Pharmacy or any related course.
• 4+ years prior monitoring experience with global trials.
• Experience with clinical trial set up and contract negotiation preferred, but not essential.
• Excellent knowledge of international guidelines ICH-GCP, basic knowledge of GMP/GDP, good knowledge of local regulations.
• Good understanding of Clinical Study Management including monitoring, study drug handling and data management.

Why ICON?

At ICON, we embrace new perspectives and empower our people to write their own paths forward. We are a culturally diverse company with over 40,000 talented and ambitious people with varied skills, perspectives & backgrounds working together across 40 countries.

Our success depends on the knowledge, capabilities and quality of our people. That’s why we are committed to developing our employees in a continuous learning culture – one where we challenge you with engaging work and where every experience adds to your professional development.

At ICON, our focus is to provide you with a comprehensive and competitive total reward package that comprises, not only an excellent level of base pay, but also a wide range of variable pay and recognition programs. In addition, our best in class employee benefits, supportive policies and wellbeing initiatives are tailored to support you and your family at all stages of your career - both now, and into the future.

ICON, including subsidiaries, is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please let us know.

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.

You will be responsible for providing administrative and secretarial support to various clinical services in Medical, Nursing, Allied Health and the department. You will engage in effective office management such as maintaining and monitoring office equipment assets, ensuring proper documentation of purchases and timely submission of invoices and claims.

You will ensure the smooth running of clinical service and operations through coordinating manpower-related activities and providing administrative support for new staff hiring activities. In addition, you will support processes required to comply with SCH policies and regulatory bodies. You will also help to coordinate and provide logistics support for staff education activities.

Job Requirement

• Diploma with 2 years’ experience; or
• Higher NITEC / NITEC/ GCE N / O / A Level + 8 years’ experience
• Good writing skills, meticulous and organised.
• Excellent communication and interpersonal skills. Able to work independently and supervise junior clerical staff.
• Experience in healthcare setting will be an advantage
• Proficient in Microsoft Office

Job Summary

The Structural Heart (SH) Clinical Regional Manager plays a pivotal role in enhancing brand recognition and driving business growth for the SH division. This position requires an individual with a strong clinical aptitude and a consultative selling approach, supported by in-depth knowledge of Biosensors and competitive Structural Heart products, along with relevant clinical data.

The incumbent will collaborate closely with Country Managers, Regional Sales Managers, and Clinical Specialists to deliver exceptional program support by leading all Biosensors SH initiatives. Key responsibilities include a thorough understanding of catheterisation lab dynamics and the ability to cultivate strong relationships with physicians and staff.

The SH Clinical Regional Manager will support all aspects of structural heart cases, including pre-case planning and recommending patient treatments. Acting as a trusted advisor, the manager is recognised as a clinical sales expert by the heart team and is expected to provide comprehensive support for Structural Heart cases.

Job Responsibilities

· Assist in executing a proactive regional plan that integrates clinical, sales, and service support to enhance market share and improve service quality for customers.

· Identify and facilitate growth opportunities in collaboration with the Sales and Clinical Support Team.

· Serve as the primary clinical resource for case coverage, troubleshooting, specialty product usage, and customer training.

· Attend cases at customer accounts, advising physicians on the clinical attributes and techniques associated with our coronary products.

· Educate customers on the benefits and proper clinical usage of company products through presentations and demonstrations using various formats and platforms.

· Provide supplemental training support during product launches and for high-touch specialty products.

· Address customer needs and complaints regarding products and services by developing creative solutions or collaborating with relevant personnel to find optimal resolutions, especially in training and troubleshooting.

· Conduct sales forecasts and analyses to ensure adequate consignment levels, tracking consignments with minimal write-offs in coordination with the Planning & Sales Operations team.

· Ensure timely collection and reporting of all required medical documentation related to procedural device operations.

· Fully support the Quality Policy by embedding quality into all aspects of work and maintaining compliance with all quality requirements.

· Research and identify new business opportunities, including emerging markets, growth areas, trends, customer needs, partnerships, and competitor products and services, while staying informed of industry trends.

· Engage with customers to foster and develop strong relationships.

· Gather and analyse useful information from customer and competitor data.

· Collaborate with the Sales and Marketing team to discuss promotional strategies and activities.

· Coordinate with the Sales Team to develop mutually beneficial proposals and sales campaigns.

· Participates in conventions, forums, and meetings to increase product awareness.

Job Requirements

· Bachelor’s degree in Biological Sciences, Nursing, or a related discipline

· At least 5 - 8 years of successful sales experience in medical device or pharmaceutical industry

· Previous experience in a Cath Lab or in Cardiovascular settings is advantageous

· Strong clinical aptitude and understanding of structural heart products

· Proven ability to manage a large portfolio of accounts with a willingness to travel for business

· Excellent problem-solving skills, with a capacity for collaboration and receptiveness to coaching from team members, fostering success in selling specialised products

As a Site Technology Specialist, you will work with clinical sites and provide technical support and expertise related to technology (Kidney imaging, cell therapy, radiology and renal ultrasounds).

You will:

• Provide clinical sites with technical support and expertise related to technology (Nuclear medicine, kidney imaging, interventional radiology)
• Assist in the design and implementation of study related forms, guidelines and manuals related to technologies
• Coordinate data collection related to technologies, including but not limited to nuclear medicine, radiology, etc.
• Provide technical and initiation support to sites
• Identify, track, and report specific technical timepoints in the study related to study procedures including imaging, scans, and other technologies
• Determine technical resources needed for project implementation, and communicates needs to department managers
• Organize technical training for project teams
• Provide support to the project teams to ensure proper documentation of study-specific assessments related to study technologies
• Support site initiation preparation and performs technical visits to assist the site team with technical aspects of the study
• Assist and advises the site monitor in the area of study technologies
• Provide relevant technology-related information to Business Development for proposals
• Prepare for and attends Bid Defense Meetings
• Attend and presents at Investigator’s Meetings

The Other Clinic is a team-based practice with a strong work ethic and emphasis on community and training.

Job Description

• Neuro assessments for ADHD, ASD, learning difficulties
• To therapeutically work with children under 12 and their families
• Assess and Formulate individualised therapy plans
• Providing individual and family interventions using evidence based practice for children with neuro-divervsity
• Parenting interventions
• Ability to work face-to-face and online
• Report writing where necessary
• Liaising with other professionals e.g. psychiatrists, paedticrians doctors.
• Providing talks, workshops and training
• Working with schools, clinic in the school
• Writing for social media

Competencies Required

• Masters/Doctorate in Clinical Psychology
• Minimum 2 years experience of a variety of treatment modes
• Experience of diagnostic assessments
• Specialist Additional therapeutic training in model e.g. DBT, parenting groups
• Experience working with parenting
• Experince of working with primary aged children
• Previous experience working in private setting with local population and expats is desirable but not essential.
• Excellent interpersonal skills and a team player
• Eligible for registration with SPS.
• Experience working in a multi-disciplinary team e.g. shared cases
• Flexibility to work evenings and weekends, occasional home visit where necessary
• Experience of implementing structured change models for intervention
• Committed to attending regular supervision
• Ability to work with autonomy and be a team player
• Flexible working in a fast-paced environment that is growing
• IT skills in Office Applications such as Word, Excel, use of Apps

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.