Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantAssociate-%28Food-Science-&-Technology%29/33173-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Zhou Weibiao on nutritional profile analysis and in vitro digestion of food materials under a project on alternative proteins, funded by the Singapore Food Story R&D Programme 2.0.

The main responsibilities of the position include:
The candidate shall join a multidisciplinary team at NUS to support the development of plant-based meat products with improved digestibility, nutritional quality, and functionality. This position will focus on establishing an advanced in vitro digestion approach to evaluate protein digestibility and conduct comprehensive nutritional profile analysis of alternative protein products.

In addition, he/she will help supervise final year undergraduate projects.

Qualifications

• Qualifications / Discipline:
B.Sc. (for Research Assistant appointment) or M.Sc. (for Research Associate appointment) in Food Science, Food Technology, or a closely related field from an internationally reputable university

• Skills:
Strong wet laboratory and analytical skills
Demonstrated capability of independent researcher
Good team player
Good scientific writing skills

• Experience:  

Research experience with good track record, including:
(1) hands-on experience in food analysis,
(2) lab safety and maintenance, 
(3) report preparation,
(4) working experience in a cross-disciplinary team.

Working experience with antinutrients analysis and/or in vitro digestion is highly desirable.

This position is only open to Singaporeans and Singapore Permanent Residents. 

Interested applicants are invited to apply directly at the US Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Department-of-Materials-Science-and-Engineering%29/33183-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in neuromorphic computing devices.

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

Research assistant in “Quantum sensing engineer”

The Nanyang Quantum Solutions team led by Prof. Marek Gluza at NTU Singapore is seeking a new member to propose new engineering solutions for table top setup prototyping the translation of dynamic quantum algorithms such as double-bracket algorithmic cooling to applications in quantum sensing using NV centers.

With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether NMR-type readout will be sufficient for the technological applications we have in mind. The research group is being formed and see https://marekgluza.github.io/ for the intended culture centered on the idea of serving experimental efforts through theoretical support developing quantum middleware solutions.

Key Responsibilities:

• Propose feasibility and cost analysis of a table top NV center readout setup using commercially available lasers and microwave resonators.

• Propose readout solutions and techniques for quantum sensor use in material science fabrication pipelines.

• Translate dynamic quantum algorithms such as double-bracket agorithmic cooling into actionable protocols in NV center ensembles.

Job Requirements:

• Bachelor's degree in mathematics, physics, computer science or related field

• Knowledge in engineering, e.g. laser, mechanical or electrical engineering

• Excellent written and oral communication skills

• Proficiency in Ansys and related packages

• Ability to work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational and time management skills.

Supplementing a cover letter: As part of our merit-based hiring, we recognize that potential isn’t always reflected in traditional metrics. We invite all applicants to contextualize their journey in a personally written cover letter. This helps us evaluate your prospective potential alongside your existing abilities; see the guide for applicants for more information. Applicants from underrepresented groups or those from countries affected by crises are particularly encouraged to provide one (please do not rely on AI to generate it).

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

We are seeking an enthusiastic and dedicated Management Trainee for our Cafe manager role. This position is ideal for individuals looking to develop their skills in both customer service and café management. As a Management Trainee, you will receive hands-on experience in day-to-day operations, customer interactions, and leadership duties within our café.

Key Responsibilities:

Customer Service:

• Greet and interact with customers in a friendly and professional manner.
• Prepare and serve a variety of coffee drinks and other beverages according to company recipes and customer preferences.
• Assist customers with their orders, ensuring accuracy and efficiency.
• Handle customer complaints and concerns with tact and professionalism.

Operational Duties:

• Learn and perform all barista duties, including operating coffee machines, grinders, and other equipment.
• Maintain cleanliness and organization of the café, including the seating area, counter, and equipment.
• Assist with inventory management, including restocking supplies and conducting inventory checks.
• Follow health and safety guidelines to ensure a clean and safe environment for customers and staff.

Management Training:

• Assist the Operation Manager with daily operations, including opening and closing procedures.
• Participate in staff training sessions to understand company policies, procedures, and standards.
• Gain experience in scheduling, payroll, and other administrative tasks.
• Support the Operation Manager in planning and executing promotional activities and events.

Qualifications:

Education and Experience:

• High school diploma or equivalent required; a degree in hospitality, business, or a related field is a plus.
• Previous experience in a café or customer service environment is preferred.

Skills:

• Excellent communication and interpersonal skills.
• Strong organizational skills and attention to detail.
• Ability to work in a fast-paced environment and handle multiple tasks simultaneously.
• Leadership potential with a desire to grow into a management role.

Additional Requirements:

• Flexibility to work various shifts, including weekends and holidays.
• Passion for coffee and a desire to learn more about the craft.

Benefits:

• Competitive salary with opportunities for performance-based raises.
• Comprehensive training program and ongoing development opportunities.
• Employee discounts on products and services.
• Potential for career advancement within the company.

Job Summary
We are seeking a hands-on postdoctoral researcher at BEARS under AxCIS Project (AI xploration of Catalysis with Inorganics and Surfaces) in Singapore. This project uses AI and laboratory automation to develop integrated pathways for producing chemicals and fuels in a holistic approach to decarbonization. This role centers on integrating an LLM-driven agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. You will work closely with multidisciplinary team and  architect and ship end-to-end, closed-loop workflows that connect instruments, edge devices, data backends, and AI agents.
Duties & Responsibilities

• Integrate instruments and IoT devices with reliable drivers/APIs; build autonomous/robotic testing workflows.
• Design LLM agents for planning, tool-use, and experiment control with safety interlocks.
• Develop and deploy RL/BO/active learning for closed-loop optimization.
• Build data pipelines, dashboards, and provenance; analyse and present results.
• Publish in peer review Journals and conferences, and coordinate with sponsors/collaborators.

Qualifications

• Ph.D.  in Computer Science/ Electrical Engineering/ Robotics/ Chemical Engineering /Mechnical Engineering or related.
• Strong in Python, with experience with hardware and software integration (serial/TCP/IP, MQTT, API).
• Practical ML background, including RL/BO; Docker/Linux/Git familiarity.
• Track record in automation or autonomous labs; good communication and collaboration skills.

Part-time Primary Science tutor / tuition teacher

Job Position Available 

• Primary School Science
• Lower Secondary Science
• O Level Chemistry,
• O Level Physics
• O Level Biology

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum

• Provide academic guidance and regular progress updates to parents

• Collaborate on lesson content updates and curriculum improvements

Working Hours

Based on the class you are conducting.  

Salary

$50-100/hr

Job Requirements

• Have past experience in teaching Science

• Strong understanding in Singapore MOE primary / secondary school syllabus for your relevant

subject.

• Degree in Science or Science related courses

• Possess excellent communication and collaboration skills

• Passionate in teaching and mentoring students

• Strong team player with excellent interpersonal skills

Qualification

• Degree Holder (Science Degree Chemistry/Life Science/ Engineering/Teaching)

Scope of Responsibilities and Deliverables 

1. Oversees and coordinates ecosystem activities for quantum computing and technologies:

1. Supports the Executive Director of the National Quantum Office in developing and executing a go-to-industry strategy that will support the growth of a vibrant quantum ecosystem in Singapore.
2. Leads the National Quantum Office’s response to key companies interested to deepen collaboration on Quantum with our national-level quantum programmes such as the National Quantum Computing Hub, and coordinate with the Singapore’s ecosystem to secure stakeholders’ support.
3. Maintains a positive and productive relationship with partners, resolving partnership and technical issues on behalf of the Executive Director.
4. Provides industry domain expertise and advice to the Executive Director on industry and enterprise development aspects for quantum technologies.
5. Represents the Executive Director at various stakeholder platforms on ecosystem development matters.

Requirements

1. At least 10 years of working experience in a similar capacity, with background in science or engineering and an understanding of quantum technologies.
2. Good communication (written and verbal) and interpersonal skills for good relationship management.
3. Strong problem solving, analytical and systems thinking abilities
4. Resourceful and independent
5. Able to work collaboratively with internal and external stakeholders

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. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Healthy-Longevity-TRP%29/33180-en_GB/?st=85BD52711C8E3993F670E5AFFC6D000B3F0C691E

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for Geroprotectors in Reproductive Ageing in Professor Brian Kennedy’s Centre for Healthy Longevity (CHL) lab in Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. CHL focuses on translational research targeting healthy aging, with particular emphasis on the use of repurposed drugs and natural compounds to improve reproductive healthspan. Model organisms include Caenorhabditis elegans (C. elegans) and mice. This position is offered on a one-year contract, with the possibility of renewal based on performance and funding.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the rigorous execution of experimental protocols and timely progression of project milestones. The RA’s role will be to screen for compounds that will increase reproductive health using the C. elegans model, and to study the effects of the compounds with aged mice models.

Main duties and responsibilities

The Research Assistant will work closely with the team to:

1. Perform large-scale compound screening using the C. elegans model;
2. Conduct mechanistic investigation on hit compounds in C. elegans;
3. Manage and maintain the mouse colony, including:

• Ensuring sufficient feed
• Monitoring animal health and breeding status
• Tracking estrus cycles
• Performing weaning and basic phenotyping
• Conducting downstream biochemical and molecular assays

1. Carry out literature reviews, data analysis and detailed documentation of experimental results and project progress;
2. Maintain the highest standard of professional conduct and documentation practices in accordance with institutional policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the Principal Investigator.

Qualifications

The applicant should:

1. Have a Bachelor’s degree with good results in Life Sciences, Biomedical Sciences or related disciplines, with a strong academic track record;
2. Be able to work independently and in a team, have an investigative nature, exercise sound judgment and handle multiple tasks with precision and accountability;
3. have strong organizational and documentation skills, attention to detail and scientific curiosity
4. Be a highly motivated team player with good communication skills, and willingness to learn and take initiative;
5. Previous experiences with laboratory animals, particularly mice, is strongly preferred. The role involves extensive hands-on work with mice.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Dong Lu at lu_dong@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 the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28IDS%29/33172-en_GB/

We regret that only shortlisted candidates will be notified.

Overview

We are looking to recruit a Research Assistant for the project “LU-STM: Large Urban Spatial Temporal Model for Urban Planning and Governance”, which will be hosted at the Institute of Data Science (IDS), National University of Singapore (NUS) and led by Prof Ng See Kiong. This project aims to orchestrate end-to-end analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions.

Only shortlisted candidates will be notified. Please include links to your GitHub repositories showcasing your best project relevant to these topics in your CV/cover letters.

Job Description

Job Summary: The Research Assistant will support research and engineering activities for developing analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions. You will help design, implement, and evaluate analytical workflows; build and maintain software prototypes and experimental testbeds; and assist with data, documentation, and stakeholder engagement. This role provides hands-on experience across AI research and practical deployment at IDS.

Responsibilities:

• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data.
• Perform data engineering tasks including data cleansing and processing for analysis of real-world datasets.
• Assists with the editing and preparation of manuscripts, reports and presentations.
• Participate in presentations and demos for exhibiting work at appropriate events.

Requirements

• Bachelors or Masters in Computer Science with a focus in AI, Machine Learning and Big Data.
• Solid programming and application development skills (Python preferred) and experience with ML frameworks (e.g., PyTorch, TensorFlow) and modern development practices (Git, testing, CI/CD).
• Ability to develop robust systems and prototypes with fast turn-around.
• Possesses research background with ability to read and understand methodologies in research papers.
• Fluent in English and good team-player.
• Prior AI expertise with knowledge and interest in spatio-temporal foundation models and urban data analytics is preferred.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-in-Sustainable-Finance-%28SGFIN%29/33177-en_GB/?st=9150308994CF31FCAACEE319707B32B09BE6EC1E

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS.  SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and contribute to the collection and organization of corporate financial and sustainability disclosures
• Plan and contribute to the collection and organization of information regarding government policies and regulations in the sustainability space
• Contribute to qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research analysts on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Qualifications

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is highly preferred, with a PhD degree preferred
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

Location: Buona Vista
Hours: 3-4 days / week, office horus
Pay: $21/hr

Job scope:
- Lab duties as assigned
- Data entry and results collation

Requirements:
- Min. diploma in biomedical/science or related fields
- Some lab experience required

Interested candidates please submit their detailed resumes via email to 

biopharma@recruitexpress.com.sg

All applications and personal information received will be treated with the strictest confidence.

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

EA Licence No.: 99C4599

Core responsibilities include R&D project execution, experimentation and benchmarking, development of model training strategies, and drafting of technical documentation, proposals and project scoping materials. The position entails working in a highly interdisciplinary R&D team in close collaboration with experts in NLP, LLMs, clinicians, population health, and other health ecosystem stakeholders on AI systems that have the potential to transform patient care and deliver improved health outcomes

Appointments will be based in Singapore for 3 years duration.

Qualifications and Field of Study

Qualifications

• PhD in Computer Science, Machine Learning, NLP, Biomedical Informatics, or a related field
• Strong experience in LLM pre-training and fine-tuning (CPT, SFT, DPO, RLHF-style methods)
• Experience with large-scale training frameworks (PyTorch, DeepSpeed, FSDP, HuggingFace, etc.)
• Experience handling noisy real-world clinical or biomedical text data
• Strong experimental design and benchmarking skills
• Familiarity with cloud-based GPU training environments

Desirable:

• Experience with medical reasoning LLMs
• Background in medical NLP or healthcare AI
• Publications in ML/NLP/health AI journals/conferences

Experience

2-4 years post-PhD with track record in domain deployment oriented projects in applied health or other domains, and in publishing research in leading digital health venues. Experience in healthcare, corporate or application-oriented environments desirable.

Other Requirements (e.g. Skills, Competencies)

Competencies

• Keen experience and intuition for working with large, complex real-world health datasets
• Ability to innovate with advanced NLP and FM methodologies as well as to direct prototyping for demonstrating research ideas
• Exposure to varied digital health study designs, research methods, human computer interaction frameworks, and clinical evaluation approaches
• Cross-disciplinary experience spanning clinical needs definition, clinical workflow understanding, R&D problem formulation, health or medical technology evaluations, impact evaluation and/or real-world implementation.
• Ability to work independently as well as in multidisciplinary teams with strong interpersonal skills
• Good communication skills for publications, reports and proposals.
• Quick learner; able to acquire the necessary domain knowledge
• Agility in dynamic project environments with impact-oriented mindset

Drive to keep pace with AI/LLM R&D developments, work with full stack data engineering and deployment teams for real world projects, and with healthcare ecosystem partners on clinical translational studies highly desirable.

Skills

• Experience with LLM/FM frameworks as well as NLP/LLM toolkits
• Experience with ETL processes and dataset curation for FM training, especially for large or multimodal health datasets
• Strong programming abilities, particularly in Python and Bash for LLM pipelines, clinical data preprocessing, and ETL workflows. Experience with SQL/PostgreSQL and large-scale data processing (e.g., PySpark) is advantageous.
• Strong quantitative skills including statistics, probability, machine learning, and deep learning, with the ability to design rigorous evaluation frameworks for LLM reasoning quality, trustworthiness, and clinical safety.
• Comfort with biomedical knowledge representation and model evaluation
• Comfort within cloud-based data engineering and ML environments
• Exposure to FMOps/DevOps infrastructure and pipelines for deploying AI/LLM solutions for healthcare applications 

Motivated applicants with significant AI expertise and strong programming skills who are looking to switch into domain related roles and committed to building robust and scalable approaches for national scale healthcare impact will also be considered.

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.

Company Overview

D’perception, established in Singapore since 1991, is a leading commercial interior design consultancy in the Asia-Pacific region. We deliver exceptional office, retail, and hospitality interiors that integrate business solutions with design excellence and budget adherence.

Job Summary

Support the design team by producing detailed drawings, preparing presentations, sourcing materials, and assisting project management to deliver high-quality interior design solutions.

Responsibilities

• Assist in detailed design drawings using AutoCAD to support project requirements
• Assist in design presentations incorporating visual aids such as color schemes and material boards
• Assist in sourcing competitive quotes, materials, and samples to meet project specifications and budget
• Assist in developing and updating construction specifications and design documentation for project execution
• Assist Project Manager in processing variation orders and closing project accounts
• Present design concepts clearly and effectively to clients to facilitate decision-making

Preferred competencies and qualifications

• Currently Pursuing Diploma or Degree in Interior Design or other relevant fields
• Creative conceptual design skills to develop innovative interior solutions
• Proficient in technical and detailed coordination of drawings for accurate project delivery
• Competent in AutoCAD, Photoshop, PowerPoint, Excel, and other design software to enhance presentations and documentation
• Skilled in space planning, conceptual design, and interior detailing to optimize functional layouts
• Strong teamwork and proactive communication skills to collaborate effectively with colleagues
• Client management skills to maintain positive relationships and understand client needs

The Position

• Build trusted partnerships with external stakeholders by driving peer-to-peer exchange of knowledge and improving disease awareness/understanding (in alignment with therapeutic-area/asset strategy) to facilitate appropriate patient-management decisions.
• From the clinical development phase onwards, inform strategic decisions, support organizational goals, and help improve patient care, by developing a deep understanding of the therapeutic area and healthcare landscape (including stakeholder networks and patient care pathways), and gathering actionable insights.
• Identify the needs of external stakeholders, recognize opportunities for healthcare solutions and data-generation, and proactively address the needs by collaborating with internal stakeholders and leveraging external partnerships.

Tasks & Responsibilities

Stakeholder engagement

• From the clinical development phase onwards, identify, profile, and strategically engage with relevant external stakeholders in the territory, to build long-term partnerships and facilitate early clinical adoption. The stakeholders may include (but are not limited to) External Experts (EEs), Healthcare Providers (HCPs), Centers of Excellence (CoEs), Healthcare Organizations (HCOs), payors, key decision makers, patients and Patient Advocacy Groups (PAGs).
• Develop a deep understanding of stakeholder network, healthcare landscape, and patient-care pathways, in collaboration with internal cross-functional team members. Utilize this understanding to develop and execute a territory-specific strategic stakeholder engagement plan that supports the TA/asset Scientific Objectives (SOs) and priorities, and is aligned to Integrated Asset Plan (IAP).
• Understand and apply the skills and behaviors of the Hybrid Customer Engagement Model for Medical (H-CEMM) and Strategic Account Management (SAM) while engaging with external stakeholders.
• Communicate scientific data and asset value-proposition effectively, using omnichannel orchestration, ensuring that individual preferences and needs of external stakeholders are met.
• Recognize the gaps in patient journeys, and identify opportunities that aim to improve referral pathways.
  Lead/support activities such as medical education, preceptorships, round-table discussions, advisory boards and congresses (scientific sessions & Medical booth)

Gathering insights

• Proactively gather & record action-focused insights related (but not limited) to disease management, healthcare landscape, patient journey, stakeholder network, clinical data gaps, educational gaps, clinical development, competitors, future trends, content feedback, efficacy/safety of our medicines, health equity, market access, patient outcomes, stakeholder needs, and product use in practice.
• Share insights internally to Medical Affairs and cross-functional teams (as appropriate), to stimulate scientific exploration, and identification of collaborative opportunities.
  Develop and execute (or support development and execution of) strategies/actions based on the insights.

Collaborations

• Share learnings with internal cross-functional teams, and collaborate to maximize opportunities.
• Support Clinical Development & Operations team in activities such as site/investigator identification, site-initiation, and identification of recruitment gaps.
• Collaborate with Market Access/Healthcare Economics & Outcomes Research/Healthcare Affairs team for discussions on scientific data and asset value-proposition.
• Explore the needs & challenges of patients, in collaboration with Patient Engagement team.
• Support the implementation of Early Access (or related) Programs.
• Support the development of resources and delivery of trainings for internal medical and non-medical functions.
• Lead/support identification & briefing of external speakers.
• Collaborate with, or support, internal and external stakeholders for data generation, including real world evidence (e.g., for External Collaborative Research,
• Observational Non-Interventional Studies, and Investigator Initiated Studies).

About our future employee

• Bachelors in the field of life/health science or other Medicine-related discipline. Possessing an advanced degree (e.g., MD, PhD, MBA) will be an advantage.
• At least 1–2 years of experience in the pharmaceutical industry or in a Medical Science Liaison (MSL) role or related scientific/clinical area; experience in the metabolic therapeutic area is an advantage.
• Ability to collaborate with different internal and external stakeholders, to develop & strengthen trusted partnerships.
• Excellent interpersonal and communication skills, both written and verbal.
• Ability to use technical and digital tools including Microsoft Office 365 applications, and an aptitude for learning new software, to perform all aspects of the job.
• Ability to manage time and resources optimally .
• Demonstrates proactive attitude, growth mindset, agility, emotional intelligence, teamwork, trustworthiness, resilience, accountability and leadership.
• Willingness to travel (within the territory/nation, and occasionally internationally).
• Ability to fulfil key performance indicators (KPIs) associated with respective responsibilities.
• Knowledge of local healthcare systems and clinical practices related to patient care – preferred.
• Preference may be given to candidates who do not require work visa sponsorship.

• Support Building and Construction Authority (BCA) registrations and renewals

• Process SkillsFuture submissions and claims, including preparation and filing of supporting documents

• Assist with internship applications and coordination with local institutions

• Support tracking and maintenance of Continuing Professional Development (CPD) learning hours

• Maintain accurate learning and training records in line with Singapore regulatory requirements

• Prepare documentation to support compliance readiness and internal / external audits

• Coordinate training administration, logistics, registrations, attendance tracking, and stakeholder communications

• Compile and standardise ASEAN Learning & Development documentation and records

• Support the setup and administration of regional training request and registration platforms (e.g. similar to K Net, LMS, etc.)

• Assist with streamlining and automation of selected L&D workflows

• Perform L&D data entry, filing, and record keeping

• Support ad-hoc HR and administrative duties as assigned

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted