What Jobs are available for Experiment Design in Hong Kong?

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

We are seeking a talented and motivated Research Scientist to join our Battery and Application Technology team. Help shape the future of battery technology by contributing to groundbreaking research and development projects.

Responsibilities

• Design and execute electrochemical tests on anode and cathode materials for aqueous battery systems.
• Develop advanced electrochemical diagnosis platforms and conduct in-situ testing on electrodes and components.
• Optimize charge-discharge and evaluation protocols to assess electrochemical performance.
• Explore and refine testing procedures for electrodes, electrolytes, and separators.
• Perform electrochemical cell teardowns and carry out failure analysis on battery materials and components.
• Visualize and analyze data, preparing comprehensive reports with actionable recommendations for battery additive R&D.
• Collaborate closely with research teams to guide promising scenarios toward production readiness.

Qualifications

• Ph.D. in Battery Chemistry, Electrochemistry, Material Chemistry, Material Physics, or a related discipline.
• 1 year of R&D experience in rechargeable battery research or energy storage materials is mandatory
• Proficiency in electrochemical testing techniques (e.g., CV, EIS, LSV, GITT), with proven ability to conduct independent R&D.
• Strong analytical and problem-solving skills, with a keen eye for data analysis and statistics.
• Excellent interpersonal and communication skills
• Strong sense of accountability, integrity, and results-oriented mindset
• Willingness to learn new concepts from patents and literature, and propose creative ideas
• Background in developing battery and inorganic materials, as well as familiarity with crystal structure analysis techniques (e.g., XRD) is preferred
• Experience with organic material development is preferred

For more company details, please visit our website at

If you are ready to drive innovation and make an impact in the world of battery technology, we would love to hear from you

We offer attractive remuneration package, 5-day work week and long-term career development opportunities to the right candidate. Please send your full resume with current and expected salary by clicking "Apply".

We are an equal opportunity employer. The information provided by you will be treated in strict confidence and used for recruitment purpose only. All personal data collected during the application process will be kept for 12 months after its completion, and will be destroyed thereafter.

Are you ready to shape the future of oncology?

ZERO Biotech is a rapidly growing company at the forefront of the Nuclear Medicine revolution. As Hong Kong's pioneer in this cutting-edge field, we are developing innovative radiopharmaceuticals based on the powerful theranostic principle—to see the cancer and treat it.

We are building a world-class R&D team and will soon be joining the vibrant innovation ecosystem at the Hong Kong Science and Technology Parks (HKSTP). This is a rare opportunity to get in on the ground floor of a company with a mission to transform cancer care.

Together, we'll embark on an ambitious journey to make nuclear medicine a mainstream treatment, not just in Hong Kong but across Asia.

We are looking for passionate, high-caliber individuals to join our R&D team. If you are a visionary who thrives on challenges and wants to make a tangible impact, we want to hear from you.

Job Descriptions

·   Assist in evaluating peptides or other molecules for licensing in for further drug development

·   Conduct structure-activity relationship (SAR) studies to optimize compound leads

·   Optimize radiolabeling methods and evaluate the properties of radiopharmaceutical candidates

·   Devise and lead R&D projects best fit for company development

·   Lead the application of R&D research funding application

·   Lead and develop R&D team

·   Stay current with state-of-the-art techniques and technologies in chemistry

Job Requirements

·   Ph.D. in Chemistry, Pharmacy or other related disciplines.

·   Postgraduate experience leading research projects in the capacity of Principal Investigator or in the pharmaceutical industry will be preferred

·   Strong background in organic chemistry/inorganic chemistry, preferably also with background in biochemistry

·   Strong knowledge of medicinal chemistry principles, drug design and optimization strategies.

·   Experience working with radiopharmaceuticals is highly desirable

·   Knowledge of structure-based drug design and computational chemistry tools will be advantageous.

Job Description:

• Perform research directed toward investigation, evaluation, and application of known machine learning theories and principles, especially deep learning techniques.
• Plans and conducts, or direct engineering personnel performing complex engineering analyses and experiments to test, prove, or modify theoretical propositions on basis or research findings and experiences of others researching in related technological areas.
• Evaluate findings to develop new concepts, products, or processes, or to develop applications of findings to new uses.
• Write technical papers to be published in prestigious conferences and journals.
• Prepare technical reports for use by engineering or management personnel for long- and short-term planning.

Requirements:

• A PhD degree holder in Computer Science or related disciplines.
• Excellent verbal and written communication skills in English.
• Extensive knowledge in machine learning and AI algorithms, especially in natural language processing (NLP), speech recognition, and/or related areas is preferred.
• Strong mathematical/analytical foundation, problem solving skills.
• Experience in software developments for machine learning/AI algorithms are highly preferred.

We are seeking a talented and motivated Research Scientist to join our Battery and Application Technology team. Help shape the future of battery technology by contributing to groundbreaking research and development projects.

Responsibilities

• Design and execute electrochemical tests on anode and cathode materials for aqueous battery systems.
• Develop advanced electrochemical diagnosis platforms and conduct in-situ testing on electrodes and components.
• Optimize charge-discharge and evaluation protocols to assess electrochemical performance.
• Explore and refine testing procedures for electrodes, electrolytes, and separators.
• Perform electrochemical cell teardowns and carry out failure analysis on battery materials and components.
• Visualize and analyze data, preparing comprehensive reports with actionable recommendations for battery additive R&D.
• Collaborate closely with research teams to guide promising scenarios toward production readiness.

Qualifications

• Ph.D. in Battery Chemistry, Electrochemistry, Material Chemistry, Material Physics, or a related discipline.
• 1 year of R&D experience in rechargeable battery research or energy storage materials is mandatory
• Proficiency in electrochemical testing techniques (e.g., CV, EIS, LSV, GITT), with proven ability to conduct independent R&D.
• Strong analytical and problem-solving skills, with a keen eye for data analysis and statistics.
• Excellent interpersonal and communication skills
• Strong sense of accountability, integrity, and results-oriented mindset
• Willingness to learn new concepts from patents and literature, and propose creative ideas
• Background in developing battery and inorganic materials, as well as familiarity with crystal structure analysis techniques (e.g., XRD) is preferred
• Experience with organic material development is preferred
• Frequent travel to PRC is required

For more company details, please visit our website at

If you are ready to drive innovation and make an impact in the world of battery technology, we would love to hear from you

We offer attractive remuneration package, 5-day work week and long-term career development opportunities to the right candidate. Please send your full resume with current and expected salary by clicking "Apply".

We are an equal opportunity employer. The information provided by you will be treated in strict confidence and used for recruitment purpose only. All personal data collected during the application process will be kept for 12 months after its completion, and will be destroyed thereafter.

We are seeking a talented and motivated Research Scientist to join our Battery and Application Technology team. Help shape the future of battery technology by contributing to groundbreaking research and development projects.

Responsibilities

• Design and execute electrochemical tests on anode and cathode materials for aqueous battery systems.
• Develop advanced electrochemical diagnosis platforms and conduct in-situ testing on electrodes and components.
• Optimize charge-discharge and evaluation protocols to assess electrochemical performance.
• Explore and refine testing procedures for electrodes, electrolytes, and separators.
• Perform electrochemical cell teardowns and carry out failure analysis on battery materials and components.
• Visualize and analyze data, preparing comprehensive reports with actionable recommendations for battery additive R&D.
• Collaborate closely with research teams to guide promising scenarios toward production readiness.

Qualifications

• Ph.D. in Battery Chemistry, Electrochemistry, Material Chemistry, Material Physics, or a related discipline.
• 1 year of R&D experience in rechargeable battery research or energy storage materials is mandatory
• Proficiency in electrochemical testing techniques (e.g., CV, EIS, LSV, GITT), with proven ability to conduct independent R&D.
• Strong analytical and problem-solving skills, with a keen eye for data analysis and statistics.
• Excellent interpersonal and communication skills
• Strong sense of accountability, integrity, and results-oriented mindset
• Willingness to learn new concepts from patents and literature, and propose creative ideas
• Background in developing battery and inorganic materials, as well as familiarity with crystal structure analysis techniques (e.g., XRD) is preferred
• Experience with organic material development is preferred
• Frequent travel to PRC is required

For more company details, please visit our website at

If you are ready to drive innovation and make an impact in the world of battery technology, we would love to hear from you

We offer attractive remuneration package, 5-day work week and long-term career development opportunities to the right candidate. Please send your full resume with current and expected salary by clicking "Apply".

We are an equal opportunity employer. The information provided by you will be treated in strict confidence and used for recruitment purpose only. All personal data collected during the application process will be kept for 12 months after its completion, and will be destroyed thereafter.

Job Description:

Perform research directed toward investigation, evaluation, and application of known machine learning theories and principles, especially deep learning techniques.

Plans and conducts, or direct engineering personnel performing complex engineering analyses and experiments to test, prove, or modify theoretical propositions on basis or research findings and experiences of others researching in related technological areas.

Evaluate findings to develop new concepts, products, or processes, or to develop applications of findings to new uses.

Write technical papers to be published in prestigious conferences and journals.

Prepare technical reports for use by engineering or management personnel for long- and short-term planning.

Requirements:

A PhD degree holder in Computer Science or related disciplines.

Excellent verbal and written communication skills in English.

Extensive knowledge in machine learning and AI algorithms, especially in natural language processing (NLP), speech recognition, and/or related areas is preferred.

Strong mathematical/analytical foundation, problem solving skills.

Experience in software developments for machine learning/AI algorithms are highly preferred.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

Full-time

The ideal candidates must have extensive experience in molecular and cellular biology, cancer immunology, TCR T and CAR T-cell development, flow cytometry, and cell culture. Highly motivated and self-directed applicants interested in translational research in immuno-oncology are strongly encouraged to apply. However, applicants with related training and experience will be given priority.

The positions are capable to support the research activities and independently complete individual projects under the direction and mentorship of the Chief Scientific Officer in the company. These positions will interact and collaborate with a number of scientists and associates highly trained in translational research of immuno-oncology. The persons will bring their skills, knowledge, and experience to be actively involved in the development of immunotherapies for a variety of cancers.

Please note: Since Google has blocked all China-rooted email addresses, please communicate with us via non-gmail accounts