Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy is a leading public policy school in Asia, part of the National University of Singapore. Its mission is to improve governance in Asia, and improve lives for a sustainable world. Its faculty consists of accomplished scholars, educators, and experienced policy practitioners. The school offers several Master's degree programmes, a small PhD programme, as well as executive education programmes for policymakers in Asia and beyond.

The School and the University place strong emphasis on teaching and learning. To serve the educational mission of the School and the University, the Educator Track has been designed to bring together and support the career pathway of outstanding educators. Faculty on the Educator Track will be expected to teach as well contribute to the broader educational mission of the School. At more senior levels, they are expected to lead on pedagogical innovations and in teaching and learning matters. A research background in a primary disciplinary domain is valued. Scholarly research on pedagogy and teaching is a bonus, but not mandated. Although the NUS Educator Track is not a tenurable line, it has a route towards an Associate Professorship on an open contract, along with the possibility of funding for overseas conference travel.

The LKY School invites applications for the following full-time positions on the Educator Track:

• Lecturer/Senior Lecturer in Public Finance & Budgeting (disciplinary field – Economics or Public Administration)
• Lecturer/Senior Lecturer in Data Analytics or Advanced Methods/Tools, with an ability to teach R and Python preferred (disciplinary field – Public Administration, Public Management, or Public Policy)

Applicants for Senior Lecturer positions must possess a PhD degree as well as at least five years teaching experience and demonstrated impact in higher education settings. Candidates for Lecturer positions should have a PhD degree, and prior teaching experience in higher education settings would be advantageous.

The appointments of Senior Lecturer and Lecturer will be for an initial period of 3-5 years and 2-3 years, respectively, ideally beginning January 2025, with the possibility of contract renewal based on performance and the school’s teaching requirements.

Application

To apply, please provide a detailed resume and a cover letter describing your background and preparation for the position, your teaching interests, and your potential contributions to the school.

Interested candidates are encouraged to find out more about the National University of Singapore and the LKY School at www.lkyspp.nus.edu.sg.

Required Documents

• Detailed curriculum vitae, including details of education, employment history, past experience of teaching and supervision, research activities (including publications) and achievements, honours and awards, and service accomplishments.
• Cover letter.
• Teaching statement.
• A teaching portfolio with sample classroom exercises and recent student or peer teaching evaluations.
• Three letters of reference.

Only shortlisted candidates will be notified.

The National Semiconductor Translation and Innovation Centre (NSTIC) aims to foster ecosystem collaboration and boost R&D translation outcomes in the areas of flat optics and silicon photonics. NSTIC opens up new possibilities in enhancing the performance, efficiency and functionality of semiconductor devices. We are seeking an enthusiastic and self-directed Project Manager to join our team. You will have opportunities to work with researchers from research institutes, universities, as well as industry partners.

Job Description / Responsibilities

• Initiating, planning, executing, monitoring and, coordinating various aspects of projects related to the development and implementation of the technologies under NSTIC
• Ensure timely and successful delivery of the project within budget through the management and control of project risk, scope, schedule, budget and quality
• Manage internal and external stakeholders such as the technical team, NSTIC management, universities, other government agencies and the industry
• Documenting and reporting of project progress and outcomes
• Support other operational activities in the centre

Qualifications / Requirements

• Bachelor or Masters in any engineering / project management related discipline
• At least 3 years of project management experience in semiconductor/microelectronics/photonics or research project
• PMP certifications or equivalent will be advantageous
• Good business acumen, driven to deliver customer requirements and project deadlines
• Proactive team player and technically motivated to solve problems, innovate and deliver to internal and external stakeholders
• Strong communicator with excellent interpersonal skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This posting is for two postdoctoral research positions in the exciting areas of electrochemical ammonia synthesis in the Xianbiao Fu group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS).

The perspective postdoctoral positions are to develop:

1. Understanding the mechanism of Li-mediated NRR and Ca-mediated NRR
2. Exploring novel methods for nitrogen activation under mild conditions
3. Ammonia electro-oxidation and decomposition
4. Artificial synthesis of amino acids
5. Electrosynthesis of high-value fine chemicals
6. Electrocatalysis in organic systems
7. Precision synthesis of model (single crystal) catalysts and the design of novel electrochemical reactors

Extensive state-of-the-art infrastructure for materials synthesis, electrochemistry test and characterization is established at the Department of MSE.

The responsibilities of the postdoctoral fellow also encompass facilitating communication and information flow among groups working in the fields of catalysis and electrosynthesis. Additionally, the fellow will provide management support during the development of larger research proposals and contribute to initiatives aimed at sharing and advancing infrastructure for catalysis and electrosynthesis research.

Research Group Website: https://www.xianbiaofugroup.com/

Applicants should send those materials (CV, cover letter, and 3 representative papers) in the form of a PDF document. Please submit all application materials in English.

Qualifications

The applicants must hold PhD degree (or other equivalent degrees) in chemistry, chemical engineering, materials science or other relevant related fields. Experience with catalysis, electrochemistry, organic electrosynthesis, ammonia synthesis, organic synthesis and other related areas, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project. It is considered positive if the candidate can demonstrate experience in similar work environments.

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will lead the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-to-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Principal Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description

• Leads conceptual and technical integration of various research studies to provide leading edge solutions in antimicrobial resistance (AMR) research and development
• Conceptualize and create new technologies, patents and publications
• Review and manage operating budget of grants and team
• Establish collaborations, develop scientific proposals and ensure timely achievement of project milestones
• Manage a team and provide scientific and career mentorship to researchers and students

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• 4 years of post-PhD relevant experience
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Strong publication record
• Highly motivated and ability to develop strong research ideas to secure grant and funding
• Strong analytical, technical and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for a Research Associate position in the Centre for International Law (CIL), National University of Singapore. This is a one-year contractual position offered in connection with CIL’s expansion of its research on artificial intelligence and technology law. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international law and policy.

The duties of the incumbent will involve:

• Assisting the AI and Technology Law Lead in research related to the programme’s ongoing projects in AI regulation, technology law, and related areas, including CIL’s role as an official observer in forums discussing the legal frameworks for AI and emerging technologies. This will involve examining the regulatory landscape for AI governance, ethical AI development, and the impact of AI on privacy, security, and human rights, while also exploring the intersections of AI, emerging technologies, and digital innovation, focusing on the development of legal frameworks to support responsible AI integration in global contexts.
• Assisting with the development and organisation of seminars and workshops organized by CIL.
• Conducting research and completing at least one publication for possible publication in a recognised journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in AI and technology law, including knowledge of AI regulation, data protection, intellectual property, the ethical and legal challenges associated with emerging technologies, and an interest in cutting-edge and developing issues in AI Law governance;
• Excellent analytical, research and writing skills A high degree of self-motivation and strong organisational and computer skills;
• At least 2 years working experience.

Application Procedures

Interested applicants are invited to apply with the following supporting documents:

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests;
• A detailed curriculum vitae (no more than three pages) setting out educational and work history;
• University transcripts;
• One sample of written work;
• Names and details of two referees.

The deadline for applications is 25 November 2024. Please note only shortlisted candidates will be notified.

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg/

Summarized Purpose:

• Provides support to investigator sites, monitors, department, business unit or function through communication of information, training sites and documentation of services pertaining to clinical trials. Supports the overall performance, education and training of the sites on a study level to ensure the execution of protocols are completed accurately and on time. Uses the tools provided to answer all questions, takes orders and ensure clean data at the earliest point in time.

Essential Functions:

• Acts as the point of contact for sites, ensuring that questions, material orders and request for information are responded and documented in an accurate and timely manner. Ensures that the sites are properly trained in aspects of the protocol (following the study flow sheet) relating to the department. Provides guidance on pre-analytical aspects of the study to ensure smooth flow of data to and from the site.
• Triages calls where necessary to appropriate individual/departments and follow through to resolution.
• Resolves queries so that efficient and timely sample analysis is undertaken by the laboratory so report turn around time is met. Continually reviews exceptions to resolve so that the data is cleaned within the agreed timelines.
• Notifies the sites and all necessary contacts via telephone/fax of all relevant critical/voice alert values/ study specific requirements.
• Places all calls to the sites delivering sponsor alert, voice alert values (VAV) and any other critical values. Answers incoming phone calls, resolves different types of exceptions within assigned timelines.
• Monitors and escalates site issues through the appropriate departments/people e.g. project management to resolve and report as soon as possible. Ensures that all site issues are communicated and followed up to resolution, primarily to site and monitor. Reviews site performance metrics to educate where needed or to report back to monitor or sponsor. Informs site of the results or reasoning not to proceed.
• Follows the specifications and scope of work to evaluate requests for any additional test(s) (test performed in protocol) to be added to a sample. Evaluates the request for out of protocol testing following Scope of work for study. Facilitates requests to the appropriate person.
• Coordinates and resolves issues with samples at time of scanning to have the samples in the database and reported as soon as possible.

Job Qualification

Education and Experience: 
High / Secondary school diploma or equivalent and relevant formal academic / vocational qualification

Knowledge, Skills and Abilities:

• Mandate to be fluent in Japanese and English langaugese (Speaking, Reading, Writing)
• Accurate data entry skills with intermediate computer skills including Microsoft Office
• Strong analytical, interpersonal and time management skills
• Strong client and phone service skills
• Excellent verbal communications and customer service skills
• Critical thinking and problem solving skills to support quality decision making
• Good written and oral communication skills
• Ability to work in a collaborative team environment

Training will be provided. No prior work experience needed.

We are looking for experienced teacher/tutor to teach Primary subjects

Who are we looking for?

• Someone with a diploma or a Bachelor degree
• Has experienced in teaching the subject.
• At least 2 Year(s) of working experience in the related field. Someone who has experience working in a tuition centre will be an added advantage
• Enthusiastic, patient and passionate in helping students to excel
• Dedicated and a team player

The role:

• Assist to prepare some materials and curriculum
• Conduct lessons
• Evaluate and monitor students’ progress
• Assess each child’s educational and development needs

Other Information:

• Location: near Clementi MRT
• This can be a part time (3 or 4 day week) or a full time (5 day week), with 1 weekend.
• Working hours: weekday 1 pm to 9pm; weekend 8.45am to 6pm
• Salary commensurate with qualifications and experience
• Annual leave & medical

Interested applicants, please send your resume to us by detailing your qualification and experience, and expected salary.

We are seeking a highly skilled and experienced Principal Scientist with a strong background in Computer Science or Mathematics to lead our efforts in the research and development of Privacy Enhancing Technologies (PETs). The ideal candidate will specialize in areas such as Multi-Party Computation (MPC) and Homomorphic Encryption (HE), with a proven track record of high-impact work in these fields. This role involves creating proofs of concept (PoCs) or software at higher Technology Readiness Levels (TRLs), developing new algorithms, and leading R&D teams to push the boundaries of what is possible with PETs.

Key Responsibilities:

• Research and Development: Lead innovative research projects to develop new algorithms that enhance the efficiency, security, and applicability of PETs like MPC and HE.
• Proof of Concept Creation: Design and develop advanced PoCs or TRL software that demonstrate the practical application and effectiveness of newly developed algorithms. This includes application of PETs in various domains like healthcare, finance, manufacturing, transport, etc.
• Team Leadership: Direct and mentor a team of research scientists and engineers, fostering a collaborative environment that encourages innovation and rigorous scientific evaluation.
• Collaboration and Networking: Engage with the broader scientific community to keep abreast of latest developments, share findings, and collaborate on cutting-edge projects.
• Publication and Dissemination: Author influential research papers for top-tier journals and conferences, and present findings at international forums to establish and maintain leadership in the field.
• Strategic Planning: Contribute to the strategic planning of the data security group by aligning R&D activities with long-term organizational goals.

Qualifications:

• Education: PhD in Computer Science, Mathematics, or a closely related field.
• At least 8 years of experience
• Experience: Extensive experience in Privacy Enhancing Technologies, particularly Multi-Party Computation, Homomorphic Encryption, Confidential Computing, or other PETs.
• Leadership: Proven ability to lead and manage R&D teams in a high-tech environment.
• Publications: A strong publication record in peer-reviewed journals and conferences, demonstrating significant contributions to the field of cybersecurity and PETs.
• Skills: Exceptional analytical and problem-solving skills, proficient in algorithm design, and adept at programming in languages suitable for scientific computing and cybersecurity applications.

Desired Attributes:

• Innovative thinker with the ability to challenge conventional approaches and pursue new methodologies.
• Excellent communication skills, capable of conveying complex technical details to diverse audiences.
• Strong organizational skills, with the ability to manage multiple projects simultaneously and meet deadlines.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in Education

· With at least 5 years of relevant working or teaching experience in education field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will assist the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-To-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for CAR-T cell manufacturing program in the Immune Cell Engineering Laboratory of the National University of Singapore. Our group is committed to delivering transformative and novel cellular therapies for patients with cancer. We have a strong track record of successful cell manufacturing for clinical trials in accordance with regulatory guidelines. Appointments will be made on a 2-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The role of the research assistant is to support immune cell manufacturing, including CAR-T cells, for several ongoing clinical trials. We are seeking highly motivated, conscientious and meticulous individuals to join our experienced team, be trained in Good Manufacturing Practices (GMP) and be involved in research aimed at improving the treatment of patients with cancer.

Main Duties and Responsibilities

1. work in a (GMP)-certified facility manufacturing immune cells for clinical use, including CAR-T cells.
2. apply various techniques in tissue culture, molecular biology, flow cytometry under rigorous GMP conditions, for which training will be provided.
3. work effectively within a team of other skilled cell engineers
4. be able to practice meticulous bookkeeping and documentation in accordance with regulatory requirements
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Bachelor of Science degree in Biomedical Sciences (those with no experience are welcome to apply)
2. Have experience in general laboratory techniques, especially aseptic tissue culture techniques
3. Be able to work independently and in a team, have an investigative nature with great attention to detail
4. Have knowledge of computer applications, e.g. MS word, MS excel

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Bernice Oh at paeolzb@nus.edu.sg

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

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

Position – Research Assistant in Cell Biology and Technology Unit

Job Scope:

· Tool generation – expression vector construction and molecular cloning, protein expression, stable cell lines development

· Drug screening – ELISA, FACS, cell-based functional assay, confocal microscopy, SDS-PAGE, Western Blotting, qPCR etc.

· Cell culture – Suspension cell culture and adherent cell culture, 3D cell culture models, such as spheroid, organoid, organ slice and organ-on-a-chip

· Lab management

Requirements:

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

· Familiar with basic laboratory procedures especially mammalian cell culture.

· Experience in Molecular Biology, Protein Chemistry, 3D Cell culture, Cell engineering, Flow Cytometry, Confocal Microscopy, NGS analysis and other relevant skills will be an added advantage.

· In vivo sample handling experience is plus but not necessary.

· Programming skill ,for example Python, is also plus.

· Working experience in either industry or academia is welcome.

Fresh graduates are welcome to apply.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: recruitment@chugai-pharmabody.com

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

We regret that only short-listed candidates will be notified