Total 18 Senior Executive level Science / R&D / Research job vacancies

Senior Research Nurse

• Office Location: Buona Vista, Singapore
• Working Hours: Morning/Noon Shift (45 hours per week)
• Monthly Salary: Hourly Rate + Completion Bonus
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Clinical Care & Excellence – Deliver professional care and management of clinical trial participants, ensuring privacy and confidentiality at all times.
• Data & Equipment Handling – Collect, verify, and store trial data accurately; operate biomedical equipment proficiently within the CRU.
• Safety & Emergency Preparedness – Apply biohazard safety precautions and participate actively in Code‑blue drills, leading during real emergencies.
• Screening & Trial Execution – Perform general screening activities and protocol‑related tasks under the guidance of the Study Nurse‑in‑Charge.
• Collaboration & Coordination – Work closely with pharmacists, technologists, and support staff to ensure smooth execution of trial activities and auxiliary services.
• Compliance & Documentation – Adhere to SOPs, GCP, and regulatory requirements; maintain accurate records and demonstrate commitment to training and policy compliance.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct in patient nursing.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Job Responsibilities:

• Develop and sustain Dry etch processes in R&D and Small volume manufacturing environment
• Responsible for performing professional process engineering research, from the concept to the final process development for a wide variety of materials (Metals, Silicon, Dielectrics, SiC and other speciality materials)
• May conceive and plan projects involving the definition and selection of new materials, concepts and approaches in the processing or developing of new processes.
• Compiles and evaluates test data to determine appropriate limits and variables for process specifications.
• Championing engineering experiments for process characterization to drive quality and yield improvementSet up and collect the experimental data and generate reports for internal and customer distribution.
• Design and complete DOE (Design of Experiments) evaluations to characterize process window for new requirements
• Work closely with senior staff and process integrators to understand technology roadmaps, process capability requirements and business issues/ challenges.
• Act as a resource for colleagues with less experience; lead small projects with manageable risksAct as subject matter expert for both internal and external stakeholders.

Requirements:

• PhD in Materials Science, Metallurgy, Electrical, Electronics, Chemical Engineering, Chemistry or Physics; or relevant field science and engineering fields.
• PhD graduates with plasma or semiconductor process exposure are added advantages.
• Prior experience in dry etch/Wet etch processes is preferredKnowledge of plasma fundamentals is an added advantage
• Hands-on experience in designing and executing experiments (DOE), statistical and cause analysis, and problem-solving methods
• Possess good interpersonal and communication 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.

About EIPA

The EDHEC Infrastructure & Private Assets Research Institute is an applied research centre focused on improving the way private assets are measured, valued and understood by institutional investors, regulators and market participants.

Our work challenges flawed practices in private asset investing anddevelops more scientific, transparent and robust approaches to valuation, risk measurement, performance attribution and alpha measurement. Current research priorities include private asset valuation accuracy, fair value practices,private equity volatility, private debt risk, factor models for infrastructure and private equity and alpha measurement.

We are looking to recruit Senior Research Engineers to strengthen our research capacity and turn ambitious private-assets research ideas into rigorous empirical outputs,working papers, academic journal submissions and practitioner-facing publications.

The role

The Senior Research Engineer will work at the intersection of private assets, empirical finance, quantitative methods, data engineering and academic research.

The successful candidate will build and analyse data sets across private equity, infrastructure, private debt and related alternative asset classes. They will take ownership of empirical work on topics such as valuation accuracy, private asset volatility,performance attribution, factor exposures, GP behaviour, private-market alpha and risk estimation.

Key responsibilities

The Senior Research Engineer will:

• Work with EIPA researchers to design, implement and test empirical research methods in private assets.
• Build and maintain research datasets using sources such as company accounts, transaction databases, regulatory filings, fund disclosures, valuation records and commercial private-market databases.
• Lead and execute empirical analysis for working papers, policy papers, insight papers and academic journal submissions.
• Translate research questions into robust empirical designs, including regression analysis, panel data methods, difference-in-differences, factor models, event studies, network analysis and other quantitative techniques.
• Develop research on private asset valuation accuracy, fair value practices, volatility estimation, alpha measurement, private equity value creation, private debt risk and infrastructure expected returns.
• Develop reproducible research code, data pipelines and documentation that allow results to be audited, replicated and extended.
• Prepare publication-quality tables, figures, robustness checks and methodological appendices for academic papers.
• Identify data limitations, measurement problems and methodological weaknesses in existing private-market research.
• Draft sections of research papers, especially methodology, data, empirical results and robustness sections.
• Drive publication efforts in academic and practitioner outlets, including responding to referee comments and revising empirical analysis where required.
• Collaborate with internal teams and external academic or industry partners where appropriate.
• Mentor junior researchers, analysts or research assistants on coding, data quality and empirical methods.

Current research areas

The role will advance EIPA’s research pipeline across three broad areas.

Valuation and transparency

This includes work on the accuracy of private asset valuations, fair value practices, ASC 820 / IFRS 13 Level 3 disclosures, valuation policy,valuation back testing, listed private equity fund holdings, BDC mark accuracy and the incorporation of climate risks into infrastructure valuations.

Risk measurement

This includes work on private asset volatility, private debt spreads, BDC loan concentration, network analysis of private asset markets, total portfolio risk management and improved estimation of systematic risk ininfrastructure and private equity.

Alpha and performance measurement

This includes research on private-market alpha, return attribution,secondary buyouts, GP de-risking and factor timing, private equity value creation, mimicking finance for private assets and the construction of large-scale private equity datasets.

Required experience

Candidates should have:

• Strong exposure to private assets, alternative investments or institutional investment research.
• Strong ability to work with researchers and quantitative methods.
• Demonstrated experience conducting empirical research, ideally in finance, economics, accounting, investment management or a related field.
• The ability to produce research that can be submitted to academic journals, including familiarity with empirical research standards, robustness testing, literature positioning and academic writing.
• Advanced programming ability, preferably in Python and/or R.
• Strong data skills, including experience with messy, incomplete and multi-source datasets.
• Good knowledge of econometrics, statistics or quantitative finance.
• Experience with SQL or structured databases.
• Strong understanding of reproducible research practices, including version control, documentation, code review and testing.
• Ability to explain technical methods and empirical results clearly to both academic and non-technical audiences.
• Excellent written English and the ability to write directly for research papers.

Desirable experience
The following would be particularly valuable:

• Familiarity with the literature in private assets, alternative investments or institutional investment, including private equity, infrastructure, private debt, real estate, private credit, project finance, asset management, pension funds, sovereign wealth funds, investment consulting or private-market data providers.
• A PhD or research master’s degree in finance, economics, accounting, statistics, data science, engineering, mathematics or a related discipline.
• Previous publication record in academic journals, working papers, SSRN papers or high-quality applied research.
• Experience with private equity datasets such as Orbis, PitchBook, Preqin, Capital IQ, Burgiss, EDGAR filings or fund-level datasets.
• Experience with valuation research, fair value accounting, Level 3 assets, ASC 820, IFRS 13 or private-market NAV reporting.
• Experience with asset pricing, factor models, return attribution, volatility estimation or total portfolio risk models.
• Experience with panel data, causal inference, difference-in-differences, event studies, machine learning, network analysis or NLP.
• Knowledge of infrastructure finance, regulated utilities, private debt or BDCs.
• Experience collaborating with academic co-authors or responding to journal referee reports.
• Experience producing both academic papers and practitioner-facing research.

Candidate profile

We are looking for someone who is intellectually rigorous, empirically minded and comfortable working on difficult private-market problems where the data are imperfect and the methodology matters.

The ideal candidate will be able to move between code, data, financial theory and research writing. They should be comfortable asking whether a resultis economically meaningful, whether a model is correctly specified, whether a dataset is biased, and whether the evidence is strong enough for publication.

This role would suit a research engineer, empirical finance researcher,quantitative analyst, data scientist or applied economist who wants to work on high-impact private-assets research with both academic and industry relevance.

Technical skills

The ideal candidate should have strong skills in several of the following:

• Python and/or R
• SQL
• Git / GitHub
• Econometric and statistical modelling
• Panel data methods
• Data cleaning and entity resolution
• Financial statement data
• Regulatory filings and disclosure data
• Private-market transaction and fund data
• Reproducible research workflows
• Research documentation and methodological appendices

Knowledge of graph databases, network analysis, machine learning, cloud platforms or large-scale data pipelines would be helpful but is not essential.

Why join EIPA?

This is an opportunity to work on some of the most important unresolved questions in private markets: how private assets should be valued, how riskythey really are, whether managers generate genuine alpha, and how institutional investors should measure performance and allocate capital.

The role offers the chance to produce research that is academically credible, practically relevant and directly connected to major debates in private asset investing.

Application

Applicants should submit a CV and a short cover letter (pdf format) explaining:

• Their experience in private assets or alternative investments.
• Their experience with empirical research and quantitative methods.
• Their programming and data skills.
• Their publication experience or ability to write for academic journal submissions.

Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21days, please assume your application has not been successful on this occasion.

Applicants can send your resume to recruitment@edhec-dbd.com

Responsibilities

• Develop and implement electrical engineering solutions in collaboration with a cross‑functional project team to meet project objectives and safety standards 
• Define new design requirements, functional specifications and test documentation
• Design electronic circuits and/or systems at the test‑concept or operational level 
• Perform root cause analysis at the system or PCB level under broad supervision; evaluate test results and prepare detailed reports and recommended corrective actions
• Conduct qualification activities for PCB designs and electronic components
• Support the setup, configuration, and operation of test environments in accordance with documented test plans
• Apply a strong understanding of downhole tool working principles to support tool development, testing, troubleshooting, and performance evaluation
• Ensure all documentation complies with Halliburton’s standard processes, quality systems, and reporting requirements
• Collaborate effectively within a team environment, demonstrating clear and professional communication to support innovative engineering solutions

Requirements

• Bachelor’s Degree or Master's in Electrical or Electronics Engineering
• Solid foundational knowledge of electrical and electronic circuit design, including the ability to interpret schematics and use standard laboratory equipment (oscilloscopes, digital multimeters, function generators, power supplies, etc.)
• Hands-on experience with fundamental electronic building blocks (e.g., DC-DC converters, operational amplifiers, ADCs/DACs, microcontrollers) is highly advantageous
• Knowledge of C/C++, VHDL/Verilog, MATLAB and/or LabView would be a plus
• Strong personal, professional, teamwork, and communication skills

Candidates with qualifications exceeding the minimum requirements may be considered for higher‑level roles based on (1) their experience, (2) additional job responsibilities, and/or (3) business needs.

Work Location: 315 Jalan Ahmad Ibrahim Singapore 639940 (company transport provided)
Work Schedule: Monday to Friday, 7:30 AM to 4:30 PM

• Regional property development platform with exposure across Asia
• Opportunity to work closely with senior leadership and business stakeholders
• Stable and collaborative corporate environment
• Changi

Our Client is a Industrial real estate developer. With increasing projects in the pipeline locally & overseas, they are seeking experienced and professional individuals to join their local team.

Responsibilities

• Provide administrative and coordination support to the Business Development team, ensuring smooth day-to-day operations.
• Manage calendars, meeting schedules, travel arrangements, claims, and coordination of internal and external meetings.
• Maintain proper filing, documentation, and correspondence records, including hardcopy and softcopy document control.
• Support market research and compilation of industry updates, including property market trends and business-related news.
• Coordinate with clients, consultants, vendors, and internal departments on meetings, submissions, approvals, and project documentation.
• Maintain and update client databases, contracts, agreements, and project reference records.
• Assist in organising networking events, client visits, and corporate functions.
• Support onboarding arrangements and provide additional administrative assistance as required by the department.

Requirements

• Minimum GCE ‘O’ Level, Diploma in Business Administration, or related qualification.
• At least 3–4 years of relevant administrative or coordination experience.
• Proficient in Microsoft Office applications including Excel, PowerPoint, Word, and Outlook.
• Strong organisational, multitasking, and coordination skills with attention to detail.
• Good communication and interpersonal skills, with the ability to work independently in a fast-paced environment.
• Prior experience within real estate, property, or corporate environments will be advantageous.

OTHER INFORMATION:

• Location: Changi

• Working days: 5 Days

• Salary : up to S$4,000 / Negotiable + VB (salary will commensurate according to experience & qualifications).

HW TO APPLY:

If you are a team player, meticulous & organized, and more importantly, believe that YOU CAN MAKE A DIFFERENCE, we would like to hear from you.

Simply submit your application with your updated Resume in MS Word Format to David Sia Yi Sheng (EA Personnel Reg. No.: R1875905) by clicking the ‘Apply link’ /

or call your friendly Consultant, David, at 6590 9958 or 9271 7510 for a confidential discussion.

Please indicate the below information in your resume:

• Current & Expected Salary

• Reason(s) for leaving

• Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

NOTICE:

We would like to inform that only short-listed candidates will be notified. All applications will be treated with the strictest confidence.

By submitting any application or resume to us, you will be deemed to have read & agreed to the terms of our Privacy Policy, and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration, and for our marketing EDMs which you may opt out by unsubscribing in the mailer. You may refer and access our website at https://www.achievegroup.asia/privacy-policy/ for more information.

Cessation of Collection of full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resume provided to us does not contain your full NRIC number and full home address during your job application.

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/Senior-Research-Scientist-%28Cancer-Science-Institute%2C-Prof-Ashok's-Lab%29/33179-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities

•    Participate, coordinate, planning and executing research programme  
•    Supervising team of up to 5 researchers
•    Manage project deadlines, reporting and presentations internally and to external stakeholders

Requirements

• PhD with 3 years’ relevant post-doctoral experience
• Possess a strong track record of research achievement evidenced by high-quality publications in a relevant field
• Have a high-level experience in hands-on use of a wide range of relevant research methods including molecular and cell biology, somatic cell genetics, protein & nucleic acid biochemistry, advanced fluorescence microscopy and flow cytometry
• Able to work independently and creatively to solve experimental problems
• Have an effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports

Job Summary
As a Senior Postdoctoral Scholar, you are expected to establish a computational pipeline to achieve catalyst prediction for CO2 electrocatalytic reduction reactions.

This is a multi-step approach, where first DFT will be used to understand reactions, then explore the use of machine learning potentials towards kinetic and large length scale/time scale simulations and eventually integrate into the experimental workflow.

You will be based in at the BEARS Consortium in Singapore at CREATE and will work in a highly collaborative environment as part of the AxCIS team in Singapore, addressing challenges at the interface of materials chemistry, high-throughput synthesis, artificial intelligence, and robotic automation.

Duties & Responsibilities:

• Perform electronic structure calculations on bulk, surfaces, nanostructures as necessary.
• ⁠Develop AI/ML models to predict materials reactions using data-driven approach.
• ⁠Develop codes as necessary to assist existing and new code frameworks for advanced property prediction and analysis.
• ⁠Analyze and present results in meetings or conferences.
• ⁠Disseminate research outputs through high-impact publications, presentations, and data releases in accordance with open science practices.
• ⁠Collaborate with experimental team members, including partners in academia, industry, and national laboratories.
• ⁠Mentorship of junior team members, which can include undergraduate and graduate students.

Qualifications:

• PhD in a relevant discipline (e.g. Chemistry, Materials Science and Chemical Engineering).

Other Desired Qualifications / Experiences / Skills:

• >5 years Post-PhD experience
• Expertise in Artificial Intelligence/Machine Learning models
• Expertise in density functional theory calculations for catalysis applications

Venture, a public listed company in SGX, is a leading global provider of technology services, products and solutions with established capabilities spanning marketing research, design, research and development. Over the years, Venture has built know-how and intellectual property with expertise in several technology domains. These include life science & genomics, molecular diagnostics, medical devices and equipment, healthcare and wellness technology, lifestyle consumer technology, health improvement products, instrumentation, test and measurement technology, networking and communications, fintech, as well as computing, printing and imaging technology.

Headquartered in Singapore, the Group comprises over 30 companies with global clusters in Southeast Asia, Northeast Asia, America and Europe, and employs over 12,000people globally.

At Venture, our people are our most valuable asset. We are committed to unifying culture, encouraging innovation, and harnessing the collective strengths and synergies of our human capital to deliver compelling differentiation, advancing Venture’s position as a leading global provider of technology solutions, products and services.

We’re looking to add a Senior Engineer, R&D (NPI) in Singapore. The position is based in our HQ at AngMo Kio.

As a Senior Engineer, R&D (NPI), you will:

• Plan and prepare product manufacturing process flow and manufacturing layout.
• Prepare manufacturing assembly work instructions, and examine BOM structure to align manufacturing process strategy planned.
• Manufacturing process cycle time and manpower estimations.
• Develop and qualify assembly and sub assembly fixtures for assembly.
• Conduct PMFEA study and plan for risk mitigation/control thru process solution initiatives.
• Conduct DFA study and interface with Design team to improve design aspects.
• Interface Design team and Manufacturing site to execute assembly line commissioning and manufacturing process validation.
• Conduct operator training for product assembly/manufacturing and certification.
• Oversee and lead the build execution while keeping the entire project team informed with regular progress updates.
• Track and Monitor manufacturing issues, and take initiative to address and resolve them, especially design/DFA issues, to avoid manufacturing issues in future.
• Prepare necessary process deliverables documentation and hand over to manufacturing site team to use as reference for Mass Production and onwards.
• Discuss with customer on the traceability requirement and plan for executing manufacturing traceability system thru DGS set up by coordinating with Operations team
• Understand packaging design concept of the Final Product and develop packaging instruction for the completed Product along with necessary labels required.
• Develop Assembly/FG inspection checklist during proto build to ensure products deliver to customer are properly inspected during process and prior to shipment.
• Manage Assembly Technicians and Operators
• Cross functional team communication and coordination

Requirements

• Degree in Mechanical/Mechatronics Engineering, with 3-5 years of experience in New Product Introduction activities of electromechanical products, by coordinating with R&D Design Team, Customer and Manufacturing Operations.
• Candidates with more years of experience can be considered for senior role.
• Familiar to understand 2D and 3D drawings of assembly and parts
• Proven ability inJig and fixture development and its validation
• Familiar with cycle time study, line balancing and manpower requirement analysis
• Efficient in oral and written communication, and preparation of presentation slides/materials
• Jigs/fixture concept development and validation, process implementation to achieve the quality/yield target
• Well versed with standard manufacturing processes documentations.
• Independently able to perform PFMEA, and plan for mitigation implementations
• Interpersonal communication skill
• Familiar with BOM structuring, implement ECN, Assembly Cycle time estimation and manpower calculations, line balancing, yield calculations and reporting, Build scheduling plan and report preparation etc.
• Ability to identify DFA issues/potential manufacturing issues upfront and propose Poka Yoke solutions for design improvement.

If you embody the spirit of excellence, passion for discovery, innovation and enterprise, and the desire to make a difference in the world of technology and electronics, come join the Venture team!

Be Part of the Global Venture Family.

Disclaimer:

By submitting your application to Venture Corporation Limited and its group of companies, you acknowledge and agree that any personal data you provide will be processed for the purpose of evaluating your application for employment.

If you are not selected for this position, we may retain your personal data to consider you for future employment opportunities unless you inform us otherwise. Should you wish to withdraw your consent or request access to or correction of your personal data, please contact our Personal Data Protection officer by email: dataprotection@venture.com.sg For more details, please refer to our privacy policy at Personal Data Protection Policy of Venture Corporation Limited.

Venture Corporation is aware of scams involving fraudulent job offers; where individuals pose as staff representing our company and/or post fake job openings. Kindly note that the company does not make job offers until after a candidate has submitted a job application and participated in a face-to-face interview.

Please be advised that all legitimate job opportunities at Venture Corporation and our subsidiaries are listed exclusively on our official careers page and verified job portals. Any job offer that requires payment or solicits personal information in the early-stage recruitment process is likely a scam.

We urge all candidates to remain vigilant and exercise caution when approached with suspicious job offers. If you have questions about any open positions at Venture Corporation, please contact us by email: hr.singapore@venture.com.sg

Kindly note that only shortlisted profiles will be contacted.

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.

SUMMARY

The Marketing Executive supports planning and executing marketing initiatives to boost brand awareness, generate leads, and drive business growth by collaborating with internal teams and external vendors across multiple channels.

RESPONSIBILITIES

• Support the planning and execution of marketing campaigns across digital and offline channels to enhance brand visibility and lead generation
• Create and manage content for social media, website, email marketing, and promotional materials to support marketing objectives
• Coordinate marketing activities, events, exhibitions, and customer engagement initiatives to maximize outreach
• Monitor campaign performance and prepare detailed marketing reports to inform strategy adjustments
• Conduct market and competitor research to identify growth opportunities and support business development
• Liaise with internal stakeholders, agencies, and vendors to ensure timely delivery of marketing projects and campaigns
• Maintain brand consistency across all marketing communications to strengthen brand identity

REQUIREMENTS

• Bachelor degree in Marketing, Business, Communications, or a related discipline
• Minimum 1 to 3 years of relevant marketing experience; fresh graduates with relevant internship experience are welcome to apply
• Demonstrated understanding of digital marketing and social media platforms to effectively support campaigns
• Proficiency in Microsoft Office applications for marketing documentation and reporting
• Experience with Canva, Adobe Creative Suite, or similar design tools to create marketing visuals and materials is an advantage
• Strong communication, organizational, and multitasking skills to manage multiple projects efficiently
• Self-motivated, creative, and able to work independently to meet marketing goals

Thank you for your interest in this role and your time to apply. We regret to inform you that only shortlisted candidates will be notified.

• Acts as a scientific expert between Bayer andthe medical community through the dissemination and education of scientificdata and material.

• Establishes long-term scientific or strategicrelationships with key, influential physicians, scientists, stakeholders andwith related major medical associations and academic centres of excellence.

• Uses his/her experience and knowledgeinteracting with key external medical and pharmacy professionals through theprocess of education via one-on-one interaction; small group discussion andsymposia lecture presentations including interactions associated with sponsoredmedical education programs and research protocols.

• Facilitates Thought Leaders’ (TL) involvement innational, regional and local educational forums including advisory boards,symposia and Continuing Medical Education (CMEs).

• Serves as an important partner to internalstakeholders within Bayer by communicating relevant information from TLs to keycross-functional partners

PURPOSE OF THE ROLE

In this role, you will drive both business development andoperational excellence for our Clinical Trial Projects. Your keyresponsibilities will include:

•        Managing Requests for Information (RFIs) andRequests for Proposals (RFPs)

•        Maintaining and refining costing models

•        Overseeing contracting activities

•        Supporting capacity and resource planning

•        Conducting data analysis to enhance projectperformance

REQUIREDQUALIFICATIONS AND EXPERIENCE

•        A diploma or degree in a science orhealth-related field

•        Prior experience in early-phase clinicalresearch is preferred

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Key Responsibilities

• Being part of the Raffles Health Insurance Actuarial team, to conduct monthly reserve valuations for premium and claims liabilities, ensuring accuracy and compliance with regulatory standards.

• Analyze and present valuation results to stakeholders, providing insights to support strategic decision-making.

• Perform experience studies covering mortality, morbidity and persistency

• Support the development, enhancement, and maintenance of actuarial models and valuation methodologies. This comprises both IFRS 17 and IFRS 4 bases.

• Carry out capital management activities which includes supporting annual ORSA exercise, business projections and budgeting, monitoring the Capital Adequacy Ratio (CAR) and stress testing.

• Manage reinsurance for the in-force block of business. This covers treaty management, reinsurance premium processing, and recoveries.

• Preparation of MAS regulatory returns, ensuring full compliance with local reporting standards.

• Liaise with auditors during annual financial closings, ensuring alignment with both IFRS 4 and IFRS 17 frameworks.

• Collaborate with relevant stakeholders to enhance workflows, as well as ensuring data appropriateness and accuracy.

• Keep up-to-date with changes in actuarial standards, regulations, and industry best practices to ensure compliance and to apply the latest methodologies.

Requirements

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field.

• Experience in life and/or health insurance.

• Minimum 3 years of actuarial experience, with a focus on valuation and financial reporting

• Proficiency in Microsoft Office suite of applications, In particular, Excel, Word, PowerPoint and Outlook.

• Familiarity with programming languages such as R, Python, or SQL for data analysis.

• Knowledge of financial reporting standards. In particular, Singapore FRS 4, IFRS17 and Singapore RBC.

• Strong analytical and problem-solving abilities.

• Good progress towards completion of actuarial exams (e.g., Society of Actuaries (SOA), Institute and Faculty of Actuaries (IFoA)).

Job Summary:

The Channel Sales will be responsible for driving and expanding D-Link's presence in the Singapore retail and superstore channels. This role will involve managing relationships with key retail partners, ensuring the successful promotion and sales of D-Link products, and achieving sales targets. The Channel Sales will work closely with cross-functional teams to develop and execute sales strategies that maximize retail distribution, improve brand visibility, and increase revenue within the retail sector. The ideal candidate will have a strong understanding of the local retail market, exceptional communication skills, and the ability to foster long-term relationships with retail partners.

Key Responsibilities:

1. Channel Development & Management:Build and maintain strong relationships with retail partners, including superstores, IT retailers, and e-commerce platforms in Singapore.
   Identify new potential retail partners and develop new business opportunities in the channel.
   Ensure the efficient execution of sales strategies within the retail sector, driving D-Link product sales in stores and online.
   
2. Sales Target Achievement:Set and monitor sales targets for retail accounts in collaboration with the regional sales team.
   Drive channel growth and ensure the achievement of monthly, quarterly, and annual sales targets.
   Analyze sales performance, identify opportunities for growth, and develop strategies to achieve sales goals.
   
3. Product Promotion and Merchandising:Oversee product placement and merchandising in retail outlets to enhance visibility and drive customer engagement.
   Collaborate with retail teams to ensure that D-Link products are adequately represented in-store through promotional activities, displays, and marketing materials.
   Support retail partners with training on D-Link product features, benefits, and customer value propositions.
   
4. Market Intelligence & Competitor Analysis:Monitor and analyze competitor activities, market trends, and consumer behavior to identify opportunities and threats within the retail space.
   Provide feedback to D-Link's product and marketing teams based on insights from the retail channel.
   
5. Marketing & Promotions:Work closely with the marketing department to plan and execute joint marketing campaigns, seasonal promotions, and product launches that drive foot traffic and sales.
   Ensure timely and effective promotional campaigns are implemented across retail partners to boost product sales.
   
6. Relationship Management:Serve as the main point of contact for all retail partner inquiries, ensuring excellent communication and a high level of customer service.
   Conduct regular visits to retail outlets to build relationships, understand customer needs, and provide support.
   
7. Reporting & Performance Tracking:Track, measure, and report on retail sales performance against targets, KPIs, and key metrics.
   Provide regular updates to management on the sales pipeline, key wins, and opportunities for growth within the retail channel.
   Use CRM tools and analytics to manage accounts and monitor performance.
   
8. Channel Support & Customer Satisfaction:Provide ongoing support to retail partners, helping them to resolve issues and ensuring high levels of customer satisfaction.
   Collaborate with internal teams to ensure retail partners are equipped with the right tools, training, and support for success.

Key Qualifications & Skills:

• Experience: Minimum of 3-5 years of experience in channel sales, retail sales, or account management, preferably in the technology or networking industry.
• Knowledge: Strong understanding of the Singapore retail landscape, including experience working with IT superstores, large retail chains, and e-commerce platforms.
• Skills: Excellent interpersonal and communication skills; strong negotiation and relationship-building abilities; analytical skills for market analysis and sales forecasting
• Problem-Solving: Ability to quickly identify problems and implement solutions to meet sales goals and improve retail performance.
• Language: Proficiency in English (additional languages, such as Mandarin, will be an advantage).
• Travel: Willingness to travel within Singapore for store visits, partner meetings, and events.

Key Performance Indicators (KPIs):

• Achievement of sales targets and revenue growth for retail channels.
• Expansion and management of retail partner relationships.
• Successful execution of promotional campaigns and product launches in retail stores.
• Improvement in product visibility and sales performance in key retail outlets.
• Customer satisfaction and feedback from retail partners.

Responsibilities

·        Provide and coordinate nursing care to patientswho participate in research studies

·        Enforce standards of care and professional codesof conduct.

·        Ensure safety and well-being of study subjects, andall clinical trial data are reliable

·        Recognise emergency situations and assist intreatment procedures

·        Prepare research metrics and reports forsubmission

·        Perform intensive monitoring of researchsubjects in early phase clinical trials

Job requirements

·        Diploma / Bachelor’s Degree in Nursing

·        Registered nursing qualification and registeredwith Singapore Nursing Board (SNB) with valid BCLS certificate

·        At least 5 years' clinical nursing experience inClinical Trial

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Yeo

Outsourcing Team

Recruit Express Pte Ltd, EA License No.: 99C4599