Total 7 clinical researcher job vacancies in Engineering category in singapore

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.

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.

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.

The teleco technology security team is committed to conducting cutting-edge research on teleco technology and future ICT network trustworthiness. We’re seeking a (senior) researcher on teleco technology integrated network, terminal and services security and privacy. The research fields cover cryptography, privacy protection technology, risk prediction, threat analysis and response. The research objects include, security protocol and capability for network, security of satellite ground convergence communication network, terminal and smart card security, distributed ledger, AI security etc.

Responsibilities

This role is to deliver algorithms, prototypes/simulations, patents and contributions to standards.

Research on teleco technology network communication protocols and functions basing on new security and privacy technologies to support the teleco technology security architecture design.

• Identify the opportunities of applied cryptographic algorithms for teleco technology scenarios and capabilities, and design the adaptive crypto schemes, to satisfy the quantum-safe communication, privacy computing, hyper reliable and low-latency communication etc.
• Design the adaptive consensus mechanism and smart contract solutions for teleco technology native distributed ledger schemes, including protocols, functions, services and capabilities of terminal sides, radio access network and core network with integration of satellites, short-distance communication network.
• Design teleco technology AI adaptive security and trust solutions and build up the relative security detection schemes/methodology.
• Develop/simulate new stacks for teleco technology network communication basing on teleco technology protocols.
• Write proposals for standardization bodies.
• Collect, analyze and deliver the survey reports on emerging security and privacy technologies.

Desired Skills

• New protocol design or protocol reconstruction experience in one or more of the following network protocols, teleco technology, Wi-Fi, Satellite, and TCP/IP/UDP.
• Research experience in one or more of the fields, cryptography, privacy computing, trusted computing, privacy preserving, blockchain, smart card, AL, and vulnerability analysis etc.
• Experience in standard development is a plus.
• Experience in NFV/SDN/EC is a plus.

Interested candidate who wish to apply for this position, please click on APPLY NOW

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EA Registration No.: R23117518 | Heah Sian Wei

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Responsibilities:

• Assist physiotherapists in implementing treatment plans for patients.
• Conduct therapeutic exercises and activities with patients under the supervision of a physiotherapist.
• Provide support in the application of modalities such as heat, cold, ultrasound, and electrical stimulation.
• Guide and educate patients on proper exercise techniques and home care programs.
• Assist in the maintenance and organization of treatment areas and equipment.
• Monitor and record patient progress and report to the supervising physiotherapist.
• Collaborate with other healthcare professionals to ensure comprehensive patient care.
• Adhere to ethical and professional standards in the delivery of physiotherapy services.

Requirements:

• Degree in Physiotherapy or equivalent
• At least 2 – 3 years of experience in a clinical setting with pediatric background.
• Ability to work within short notice.

Interested candidates who wish to apply for the advertised position, please click on the APPLY button below to send in your resume or send to [email protected].

EA License No: 13C6305

Reg. No.: R24120209

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Job Description:

• Assist in the identification, validation and selection of unmet clinical needs
• Engage in solution generation and prototyping
• Conduct testing, create supporting documentation required for patenting and regulatory approval
• Work with partners on commercialization strategy.
• Drive project tasks to ensure timely completion
• Support Innovation team in brainstorming and technical design.
• Initiate collaboration initiatives to support innovation
• Support basic risk assessment of proposed solutions with consideration to regulatory requirements and conducting clinical need filtering and de-risking.
• Under the direction of supervisor need to support execution of clinical studies.

Qualifications / Experience:

• Master’s or Bachelor’s Degree in Biochemistry, Chemistry, Chemical Engineering, Biomedical Engineering, Biotechnology, Information Technology, Computing or Software Engineering
• At least 2-3 years of prior experience in the following areas will be an advantage: medical technology innovation leading to the development of concept ideas into products, in-vitro or in-vivo diagnostics or assay development for mobile platforms, and application development and/or deployment
• Excellent people management and communication skills
• Excellent problem solving skills with strong focus in technical writing
• Basic knowledge in ISO 13485, ISO14155, Good Clinical Practice (GCP), Regulatory Affairs, Medical Device Standards
• Meticulous, responsible and passionate individual

Company Information:

Nitto Denko Asia Technical Centre Pte Ltd (hereinafter called NAT) was set up in September 2008 in Singapore. NAT has a corporate office at Singapore's world-class research hub, Biopolis. NAT's mission is to develop the Integrated Organic Optoelectronic for Biosensor Application. To achieve this mission, NAT is carrying out many concurrent reseach projects with top reseach institutions both inside and outside Singapore.

Employment

Expand your abilities and create a better future with Nitto.

What do we offer:

• AWS payout
• Medical-dental and life insurance
• Flexible benefit
• Training and career development opportunities
• Working experience in a Japanese MNC company
• Inclusive work environment

Company address: 3 Biopolis Drive #03-17/18 Synapse, Singapore 138623.

Nearest MRT: Buona Vista MRT

You will assist to establish processes and work in a team to implement risk management best practices in innovation projects aimed at adoption and commercialisation. You will be involved in the implementation and maintenance of the office’s ISO13485-compliant quality management system processes and procedures in the department’s work and projects.

You will provide technical guidance and development support to the office’s ongoing medical technology development projects which include but are not limited to supporting validation of unmet clinical needs in projects, providing inputs to project teams on regulatory, quality and risk requirements, performing basic risk assessment of proposed solutions with consideration to regulatory requirements and conducting clinical need filtering and de-risking.

You will ensure compliance with quality, regulatory and organisation policies and systems and support record-keeping and documentation needed for compliance. You will manage and drive project tasks (including recommendation of grants) to ensure timely completion of project milestones (towards successful grant applications) and ensure that the projects meet KPIs set by the grant agency and manager.

Job Requirements

• PhD in Engineering or Science with relevant experience in quality management systems and/or risk management processes
• Master’s Degree in Engineering or Science with minimum 2 years of experience in quality management systems and/or risk management processes
• Bachelor’s Degree in Engineering or Science with minimum 4 years’ experience in quality management systems and/or risk management processes
• Experience in risk management processes for medical technology development
• Experience in implementation/maintenance of a quality management system
• Experience in QMS audit will be a strong advantage
• Familiarity with ISO 13485, ISO 14971, IEC 62304, ISO14155, Medical Device Regulatory, Medical Device Standards, Risk Management for Medical Devices
• Good problem-solving skills with strong technical writing focus
• Excellent communication and technical writing skills
• Meticulous, responsible, self-motivated and a good communicator
• Must be fully vaccinated against COVID-19