Total 153 Science / R&D / Research job vacancies in Regency Park

Work Location: Kallang
Working Hours: Monday to Friday, 9:00am – 6:00pm
Salary Range: SGD 3,000 – SGD 4,500

Job Responsibilities

• Design and conduct performance, reliability, and sustainability testing

• Evaluate and analyse test data and results

• Prepare technical reports and documentation

• Install, operate, and maintain testing equipment and tools

• Troubleshoot and improve performance of existing products

• Support new product development activities

Job Requirements

• Diploma or Bachelor’s Degree in Electrical & Electronics Engineering, Mechanical Engineering, or Mechatronics Engineering

• Able to perform testing, analysis, and technical documentation tasks

• Able to work overtime when required
  

  The Supreme HR Advisory Pte. Ltd || 14C7279

  Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an Office Administrative Assistant. This role is based in Singapore, reporting to our SG Office Manager. In this role you will be responsible for supporting all aspects of our growing team of traders, researchers, and technologists. The role will suit an individual who is self-motivated and is able to adopt a methodical, logical, and creative approach to new challenges.

Responsibilities:

• Greeting visitors
• Managing meeting room bookings
• Answering and directing phone calls
• Ordering office and pantry supplies
• Upkeep of office tidiness
• Booking and managing travel arrangements
• Coordinating onboarding setup for new hires
• Assisting overseas visitors (seating, access, etc)
• Coordinating office meals
• Assisting in special events (office outings, trainings, etc)
• Assisting in office renovation projects

Requirements:

• 10-15 years of experience in administrative support or similar roles in a large and established organisation  
• Excellent organisational and time management skills, with the ability to multitask and prioritise effectively  
• Strong written and verbal communication skills 
• Proficient in Microsoft Office Suite and other relevant software tools 
• Ability to handle confidential information with integrity and discretion 
• Self-motivated, with the ability to work independently with minimal supervision  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

The Director, QRM, Global QMS, R&D & PV QA is accountable for establishing, governing, and continuous advancing a robust, science- and risk-based Quality Risk Management framework across R&D & Clinical Safety Pharmacovigilance, Medical Affairs and associated quality system.

This role serves as the global QA authority for quality risk management, providing independent oversight, governance, and strategic leadership to ensure that quality risk are proactively identified, assessed, controlled, communicated, and reviewed in alignment with ICH Q9 (R1), ICH Q10, company quality standards, and global regulatory expectations. The incumbent ensures that functional and cross-functional risk management activities are consistent, proportionate, traceable, inspection-ready and appropriately escalated within the QMS and enterprise risk management structures.

JOB DESCRIPTION

1.    Global Quality Risk Management Framework

a.   Lead the design, implementation, governance and continuous evolution of the global Quality Risk Management (QRM) framework across R&D, Pharmacovigilance, Medical Affairs, and associated quality systems, in alignment with ICH Q9 (R1), ICH Q10, and applicable global GxP regulations.

b.    Establish and maintain standardized risk assessment methodologies, tools, templates, and governance models within the QMS.

c.     Define, govern and maintain risk assessment principles, risk acceptance criteria, and quality risk posture for R&D & PV and MA, ensuring alignment with enterprise risk management and global quality strategy.

d.    Own the multi-year QRM roadmap, including capability maturity, systems enablement, and integration with broader QMS and business processes.

2.    Risk Identification, Assessment & Independent QA Oversight

a.    Provide independent QA oversight and expert leadership for quality risk identification, assessments, control, communication, and review activities across the end-to-end product and system lifecycle.

b.    Oversee and challenge quality risk assessment related to, but not limited to :

         i.     RDPVMA processes and systems 

         ii.   Vendor, outsourcing and third-party activities

         iii.   Change management and transformation initiatives

         iv.   Inspection readiness, compliance, and systematic quality risks

c.     Ensure quality risks are scientifically justified, proportionate, traceable and inspection-ready, with clear linkage to QMS records, mitigation actions, and management decisions.

d.    Exercise QA authority to escalate, challenge, and influence decisions where risks are not adequately mitigated, understood, or appropriately accepted.

3.    Governance, Integration & Management Review

a.    Establish and lead quality risk governance structures, including escalation pathways and decision forum for critical, cross-functional or systemic risks.

b.    Embed quality risk management outputs into key QMS processes, including Quality Event (QE) Management, CAPA, change control, supplier oversight, audit management and Quality Management Review.

c.     Lead and shape risk-based inputs to management reviews and executive quality governance, providing clear visibility of risk trends, emerging issues, and mitigation effectiveness.

d.    Ensure alignment and traceability between functional risk registers, QMS risk records, and enterprise-level risk reporting.

4.    Digital Enablement, Metrics & Continuous Improvement

a.    Own and evolve digital QRM tools, dashboards, and analytics to support proactive, data-driven risk identification, trending, escalation, and decision-making.

b.    Define and monitor QRM performance indicators and effectiveness metrics, ensuring meaningful insights for senior management and continuous inspection readiness.

c.     Drive continuous improvement of quality risk management practices based on audit outcomes, inspection findings, key trends, and performance data.  

5.    Regulatory Intelligence, Audit & Inspection Readiness

a.    Monitor, interpret, and translate evolving global regulatory expectations and inspection trends (e.g. ICH Q9 (R1), regulatory and inspection focus area) into QRM strategy, standards and training.

b.    Provide leadership and oversight for risk-based audit preparation, inspection readiness, and regulatory interactions related to quality risk management.

c.     Support and guide organizational responses to inspection observations, audit findings, and regulatory commitment where quality risk management is impacted.

6.     Cross‑Functional & Third-Party Risk Oversight

a.    Partner closely with global stakeholders across R&D, Clinical Safety Pharmacovigilance, Medical Affairs, Regulatory Affairs, IT, Procurement, and vendor Quality to ensure effective, consistent, and compliance implementation of quality risk management.

b.    Provide governance and QA oversight of third party and vendor risk management programs, ensuring alignment between internal quality expectation and external partner practices.

c.     Influence cross-functional and matrix teams to embed risk-based thinking into strategic and operational decision-making.

7.    Training & Capability Building & Quality Culture

a.    Act as global quality risk management thought leader and champion, strengthening organizational capability through targeted training, coaching, and mentoring.

b.    Develop and deliver QRM training curricula to ensure consistent understanding and practical application of risk management principle across regional and functions.

c.     Promote and reinforce a strong quality culture that emphasizes proactive risk identification, transparency, prevention and accountability.

JOB REQUIREMENTS

- Bachelor’s degree in Life Sciences, Pharmacy, Medicine, Engineering, or a related scientific or technical discipline.

- Advanced degree (PhD, PharmD, MSc, MPH, MBA) or equivalent professional experience in a regulated pharmaceutical or biotechnology environment is preferred.

- 8–12+ years of progressively responsible experience in pharmaceutical quality, compliance, quality risk management, or regulated GxP environments, with demonstrated experience operating at a global and cross-functional level.

- Proven track record in establishing, governing and sustaining quality risk management framework within a global Quality Management System, including practical application of ICH Q9 (R1) and integration with ICH Q10.

- Strong experience providing independent QA oversight across R&D and Pharmacovigilance and Medical Affairs with exposure to multiple GxP domains (e.g. GCP, GVP, GLP, and GxP computerized systems).

- Demonstrate experience supporting regulatory inspections, health authority interactions, internal and external audits, including risk-based reparation, issue management, and inspection response.

- Experience partnering with senior stakeholders in global, matrixed organizations, influencing without authority and balance compliance, risk and business objectives.

- Experience overseeing or governing third-party, vendor, and outsourcing risks, including alignment of internal quality standards with external partner practices.

- Exposure to digital quality system, risk analytics, metrics, or dashboards is highly desirable.  

- Deep expertise in quality management principles, risk-based decision making, and proportional application of controls in regulated environments.

- Strategic and system-level thinking with the ability to translate regulatory expectations and inspection trend into practical, sustainable QRM practices.

- Strong analytical, critical thinking, and problem solving skills, with sound judgement in complex or ambiguous risk scenarios.

- Demonstrate ability to influence, challenge, and drive alignment across functions, regions, and senior leadership levels while maintaining QA independence.

- Clear, concise, and inspection‑ready communication skills, both written and verbal.

- High level of accountability, integrity, and attention to detail, with ability to balance compliance rigor with business pragmatism.

- Strong capability in coaching, mentoring, and capability building, fostering a proactive quality and risk-aware culture.

- A globally aligned, inspection‑ready Quality Risk Management framework embedded within the Global QMS and consistently applied across R&D, Pharmacovigilance, Medical Affairs, and associated activities.

- Standardized, scalable quality risk management methodologies, tools, templates, and governance models that support proportional, science‑based, and risk‑based decision‑making.

- Clearly articulated and traceable quality risk assessments, risk registers, and mitigation plans, integrated with core QMS processes and enterprise risk management structures.

- Executive‑level risk insights, metrics, and trend analyses supporting Quality Management Review, senior leadership decision‑making, and continuous improvement.

- Digitally enabled QRM dashboards, analytics, and reporting that provide transparency, early risk detection, and sustained inspection readiness.

- Robust, inspection‑ready risk governance evidence supporting regulatory inspections, audits, and health authority interactions.

- Strengthened organizational capability and quality culture, demonstrated through consistent application of risk‑based principles, effective training, and proactive risk awareness across global stakeholders.

- Effective third‑party and vendor risk oversight, ensuring alignment between internal quality expectations and external partner practices.

Job Overview

We are seeking a highly skilled and experienced Senior Material Science Engineer to join our innovative team. In this pivotal role, you will be responsible for driving research and development efforts in materials science, with a primary focus on FEM Analysis & Structural Mapping. As a Senior Material Science Engineer, you will play a crucial role in advancing our product capabilities and ensuring the application of cutting-edge science and technology.

Your primary focus will be on FEM Analysis & Structural Mapping, helping us evaluate material performance to ensure precision in our non-destructive testing solutions. This is an opportunity to apply cutting-edge science to real-world infrastructure challenges.

Key Responsibilities

• Simulation & Analysis: Utilize FEM Analysis and Structural Mapping to evaluate material behaviors and improve performance, ensuring high precision and efficiency in our project outcomes.

• R&D Leadership: Lead and conduct advanced materials research projects, driving them from conception to implementation.

• Product Integration: Collaborate with cross-functional engineering teams (Optical, Software) to apply your material science innovations directly to our product development.

• Technical Communication: Prepare detailed technical reports and present findings to stakeholders to guide engineering decisions.

• Mentorship: Mentor and guide junior scientists and team members in material science methodologies, fostering a culture of technical excellence.

• Continuous Learning: Stay updated with the latest advancements in materials science and integrate relevant technologies into our R&D processes.

Requirements

• Education: PhD or Master’s degree in Mechanical Engineering, Material Science, Applied Physics, or a related field.

• Experience: Minimum 5+ years in Numerical Analysis and Finite Element Method (FEM).

• Technical Expertise:

    ◦ Deep proficiency in Multi-physics simulation (Vibration, Acoustics, and Structural Mechanics).

    ◦ Experience with Linear and Non-linear Dynamics, including Transient Analysis.

    ◦ Familiarity with ASME BPVC Section VIII (Design by Analysis) or API 579 (Fitness-for-Service) is a strong advantage.

• Software Skills: Advanced proficiency in ANSYS Mechanical, COMSOL Multiphysics, or Abaqus AND a strong interest or experience in open-source solvers (CalculiX, Code_Aster, or FEniCS).

• Programming: Strong Python skills for data science and solver integration.

• Problem Solving: Ability to correlate simulation results with experimental test data (Model Validation).

Benefits and Opportunities

We offer a dynamic work environment that fosters innovation and collaboration. As a member of our team, you will have the opportunity to work on cutting-edge projects that push the boundaries of materials science, including FEM analysis and structural mapping. We provide competitive compensation packages, opportunities for professional growth, and a supportive community of experts in the field. Join us to advance your career and contribute to impactful scientific endeavors.

Your new company

A global logistics company is looking for an experienced Market Research & Planning Executive to join their team.

About the job

As a Market Research & Planning Executive, you lead the design and delivery of scalable, reusable analytics solutions.

Your new role

As a Market Research & Planning Executive, you will be responsible for:

• Extract, manage, and analyze external and cross-functional data to deliver revenue and productivity insights effectively.
• Evaluate external market reports and methodologies to develop marketing intelligence supporting strategic decision-making initiatives objectives.
• Analyze customer satisfaction, market reactions, and competitive data to identify growth opportunities and data monetization.
• Lead external lead generation initiatives including budget oversight, supplier management, and database infrastructure development activities.
• Conduct economic, air express, and cargo market analyses to assess short-term and long-term growth potential.
• Prepare sales and business reviews, targets, and reports highlighting insights, abnormalities, and recommendations for management.

What you’ll need to succeed

• Bachelor’s degree in business, computer science, statistics, or related analytical discipline with strong quantitative foundation.
• 2+ years of experience in market research, analytics, and data-focused roles within organizations.
• Proven experience in database management, external statistics databases, and advanced data analytics techniques tools applications.
• Strong proficiency in Power BI or related business intelligence and reporting technologies within enterprise environments.
• Excellent software skills with experience developing reports and implementation plans in dynamic sales environments organizations.
• Strong analytical mindset, stakeholder communication skills, organizational interest, and ability to support commercial projects effectively.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

Head of Science (Primary school level)

Working days & hours :
Centre days: 44 hours per week ; 4 weekday (1030AM-730PM / 1230PM - 930PM) + 1 weekend (830AM - 630PM)
HQ days (Meeting): Weekdays 930AM to 630PM 
Working location: Toa Payoh, travel to Woodleigh Mall to support the launch of new classes (including at least one new class). 
Salary: $6000 - $7500
Report to: Managing Director 

Role Overview: We are hiring a Head of Science (Primary) to lead and strengthen a structured P3‒P6 Science programme.

This is a hands-on leadership role combining curriculum ownership, teaching, and teacher development. The role operates within an existing programme framework and is responsible for refining, improving, and scaling it to ensure consistent teaching quality and strong student outcomes across centres.

This role is critical in ensuring the programme delivers reliable results beyond individual teachers, with clear ownership over curriculum standards, teaching consistency, and overall programme effectiveness.

We’re looking for someone who can take a structured primary science programme, ensure consistent quality, and successfully roll it out across multiple centres.

Job Responsibilities: 

• Oversee and refine the P3‒P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4‒6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

Requirement:

• Degree in Science or related field (MOE/NIE-trained preferred
• Minimum 5‒8 years of Primary Science teaching experience.
• Proven track record of improving student outcomes. 
• Experience in curriculum development, mentoring, or academic leadership is advantageous. 
• Comfortable with weekend work and centre-based environment

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Spa company urgently recruit SPAtherapist

Singapore citizen and PR preferred.

Minimum 1 year of relevant experience

Able to commit on weekends/public holidays

6 days work week

Able to start work at short notice

Preferably with ITEC / WSQ certificate or massagecertification

Provide consistent professional spamassage and treatments in accordance with spa standards.

Maintain cleanliness of service area

Manage appointments.

Pleasant personality and hardworking

Complying with all applicable standards,rules and regulations.

Acknowledge and respondto relevant customer queries, needs and expectations

Location:

Singapore

Employment Type:

Full-time

Job Summary

We are seeking a highly motivated and qualified Investment Analyst to join our team in Singapore. The ideal candidate will conduct in-depth research, financial modeling, and valuation analysis to support our portfolio management team. To ensure compliance with

Monetary Authority of Singapore (MAS) requirements for CMS license holders

, the candidate must demonstrate professional competence in investment analysis.

Key Responsibilities

• Perform rigorous fundamental analysis on listed companies, industries, and asset classes.
• Develop and maintain complex financial models for valuation and forecasting.
• Prepare detailed investment memos and present recommendations to the Investment Committee.
• Monitor portfolio investments and track market trends, geopolitical events, and economic data.
• Ensure all investment activities comply with internal policies and MAS regulatory guidelines.

Requirements (MAS Compliant Candidate Profile)

• Education: Bachelor’s degree in Finance, Economics, Accountancy, or a related field from a recognized university.
• Experience: At least 2-4 years of professional experience in buy-side research, sell-side research, or investment banking.
• Qualifications: CFA Charterholder or Candidate (Level II/III) is highly preferred.
• Skills: Exceptional financial modeling, valuation (DCF, Multiples), and Bloomberg skills.
• Regulatory Knowledge: Solid understanding of Singapore financial regulations and MAS guidelines on investment management.
• Attributes: Strong analytical mindset, integrity, and the ability to articulate investment theses clearly.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.

As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.

This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.

Responsibilities

• Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems
• Build strong cross functional partnerships and code deliverables
• Suggest, collect and synthesize requirements and create effective feature roadmaps
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Experience in systems software or algorithms
• Proven experience to translate insights into business recommendations
• Experience identifying, designing and completing medium to large features independently, without guidance
• Experience building and shipping high quality work and achieving high reliability
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Experience programming in a relevant language

Preferred Qualifications

• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
• Experience with programming languages such as Python, R, MATLAB
• Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

About AppLovin

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE.

【The Role】

We are looking for a Senior Research Scientist with strong experience in large-scale recommendation systems to help build the next-generation social media platform.

You will own critical components of our recommendation stack — including recall, ranking, CTR modeling, and multi-objective optimization — with the goal of driving retention, engagement, and long-term ecosystem growth.

【A Day in the Life】

• Design and deploy scalable recommendation pipelines 
• Develop and optimize CTR/CVR prediction models
• Improve multi-objective ranking strategies (retention, monetization, diversity, long-term value)
• Tackle cold-start challenges for new users and new content
• Run offline experiments and online A/B testing to drive measurable gains
• Collaborate closely with product, engineering, and monetization teams
• Continuously iterate on model performance, latency, and system reliability

【The Impact You’ll Make】

• Improve user retention through intelligent content recommendation
• Drive measurable lift in engagement and monetization metrics
• Build core ranking mechanics beyond incremental model tuning
• Shape the foundation of a scalable, long-term content ecosystem

【Who You Are】

• 6-8 years of experience building production-grade ML systems
• Strong hands-on experience in recommendation systems
• Experience in one or more:
• Recall systems / candidate generation
• Ranking models
• CTR prediction
• Multi-task or multi-objective optimization
• Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)
• Strong software engineering fundamentals
• Experience with large-scale data systems and distributed training is a plus
• Experience improving retention or long-term user value is highly valued

【Why Join This Venture】

• Build 0-to-1 systems inside a proven AI powerhouse
• High ownership and direct business impact
• Startup speed with AppLovin-level scale and resources
• Opportunity to shape a new growth engine for the company

• Work onsite and attend industry partner meetings
• Support the general management and administration of centre operations (e.g., organise meetings, recording meeting minutes)
• Manage project timeline and ensure project milestones/ deliverables are met
• Support all related administrative work
• Perform literature reviews, assist with designing and conducting of qualitative and/or quantitative research tasks (e.g., focus group discussions, interviews, surveys), and perform dataprocessing and analysis tasks
• Develop project processes and procedures, and maintain related documentations
• Conduct impact analysis against pre-determined project outcomes
• Prepare progress and final reports of the project for reporting to management, as well as for publication
• Present research outputs at seminars, meetings, workshops
• Assist in procurement processes (e.g., purchase of tokens for focus group participants)
• Contribute to development and writing of research grant proposals
• Work on other tasks as assigned by the centre leaders

Job Requirements
Degree holder, preferably in the field of behavioural science, social science, human resource, or business

• At least 1 year of working in a research setting
• Responsible and reliable
• Independent and resourceful

1. identify, source for, suggest and/or discuss with the Fund Manager suitable potential targets or portfolio companies (“Targets”) in line with the Fund’s strategies;
2. assist the Fund Manager to procure relevant information and/or documents relating to the Targets for purposes of due diligence and/or other requisite processes;
3. provide ad-hoc support to the Manager with respect to the relevant Targets, including facilitating communication between the Manager and the Targets; and
4. take on such other ancillary duties as required by the Fund Manager from time to time.

The Role

The Executive Search Research Associate is a core member of Egon Zehnder’s consulting teams and plays a critical role in delivering best‑in‑class executive search and leadership advisory outcomes. Research Associates specialize in specific industries, capabilities, or practices and are viewed as trusted domain expert sand the “go‑to” source for market intelligence, talent insights, and candidate evaluation support.

The Research Associate supports the full lifecycle of executive search assignments, from initial market mapping and search strategy development, through candidate identification and assessment, to assignment closure. This role requires close collaboration with Consultants, clients, and global research colleagues, as well as a strong orientation toward quality, rigor, and insight.

We are currently seeking an outstanding Research Associate to join our team in Singapore.

Key Responsibilities

Managing Search Pipeline & Process

• Formulate compelling, evidence‑based search strategies independently and contribute actively to their execution.
• Consistently identify and develop “best‑in‑class,” high‑quality, and diverse candidate slates.
• Conduct extensive research using online resources, market intelligence, and Egon Zehnder’s proprietary databases to identify top executive talent.
• Proactively approach and engage industry leaders, where appropriate, to understand market dynamics, organizational context, reputational factors, and recommendations for top talent.
• Develop comprehensive market overviews and talent landscapes to inform client discussions and decision‑making.
• Ensure candidates are thoroughly market‑validated and share relevant insights gathered during assignments with Consultants and clients.
• Support Consultants in managing candidate and client communications throughout the search process.
• Collaborate with colleagues across global offices to fully leverage Egon Zehnder’s international network, sharing insights and best practices.
• Partner with administrative and operational teams to produce content‑rich, insight‑driven client updates and status reports.
• Maintain the highest standards of data quality and integrity within Egon Zehnder’s research systems, ensuring timely and rigorous capture of insights generated during search work.

Business Development & Knowledge Contribution

• Demonstrate strong domain expertise and market insight that informs Consultants’ strategic thinking and enhances Egon Zehnder’s market position.
• Continuously monitor market trends, industry developments, and leadership movements to identify potential opportunities for client engagement and relationship development.
• Conduct background research and generate market insights to support pitches, proposals, and client presentations, working closely with Egon Zehnder’s Knowledge and Research teams.
• Contribute research expertise to client meetings and pitches, when appropriate.
• Partner with Knowledge teams to capture and codify both search‑related and non‑search‑related insights within Egon Zehnder’s global knowledge base.

Candidate Profile

The ideal candidate will bring 8+ years of relevant business experience, gained within a commercial, professional services, corporate, or research‑focused environment. Experience may come from executive search, management consulting, professional services, strategy, research functions, or other business‑related roles emphasizing data gathering, analysis, and insight generation.

Candidates should demonstrate:

• The ability to work seamlessly with Consultants and engage effectively with senior‑level clients within a defined industry or functional context.
• Strong stakeholder management skills, with the ability to navigate multiple internal and external constituencies.
• A track record of delivering high‑quality work in fast‑paced, professional services environments, with a strong emphasis on rigor, discretion, and judgment.

Education

• Bachelor’s degree from a respected institution.
• Master’s degree is a plus

Required Skills & Capabilities

• Strong analytical capability and intellectual curiosity, with the ability to synthesize large volumes of information and distill clear, actionable insights.
• Results‑oriented mindset with excellent project management skills; self‑motivated, resilient, and driven to excel.
• Highly organized and effective at managing multiple priorities, deadlines, and stakeholders simultaneously. Exceptional attention to detail.
• Strong relationship‑building and influencing skills, with excellent written and verbal communication abilities and comfortable with engaging internal and external stakeholders.
• Proven ability to produce high‑quality, well‑structured written materials and presentations.
• Strong proficiency in Microsoft Office applications, particularly Excel and PowerPoint.

Read more about us at https://www.egonzehnder.com/

We thank all applicants for their interest in this position. However, due to the volume of applicants, please note we will only be in contact with those individuals who are most aligned with the key requirements.

Outreach Client Success Specialist (Survey Engagement Specialist)

Contract until Dec 2026 (renewable)

Working Hours: Mon-Fri office hours

Central : Havelock Road / Newton

Key Responsibilities:

• Operations: Collect data through phone and face-to-face interviews, ensuring a smooth and professional survey experience that fosters high response rates and customer satisfaction
• Strategy Development: Design and implement strategies to encourage online participation, reducing reliance on face-to-face interviews and optimizing survey response rates
• Questionnaire Design: Utilize modern techniques to design surveys that meet organizational needs while keeping pace with technological trends and improving operational efficiency
• Sampling Methodology: Apply advanced sampling methods that minimize survey fatigue among the public while ensuring the accuracy and representativeness of collected data
• Data Analytics: Leverage data analytics tools to validate and verify the quality of survey data. Explore alternative data sources and apply imputation methods to handle incomplete data
• Data Analysis & Reporting: Analyze collected data and produce clear, actionable reports, using data visualization tools to present findings effectively to stakeholders
• Dissemination Strategy: Develop and execute strategies to raise awareness of statistical products and ensure they meet the diverse needs of various societal segments

Programme Highlights:

• Gain practical experience in survey operations and statistical processes
• Rotate through different roles to understand various aspects of the department
• Build your communication and interpersonal skills by engaging with a wide range of survey participants
• Develop specialized expertise in areas that match your career aspirations

Job Requirements:

• Good tertiary qualifications
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• A keen learner and self-starter

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile https://sg.persolgo.com/job/details/13641

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)