Total 203 Manager level Science / R&D / Research job vacancies

Responsibilities:

• Oversee day-to-day operation and maintenance of the building
• Lead a team of Technical Supervisors and field support technicians to provide on-site service contracts maintenance support
• Develop and improve on the service qualities and technical competencies of service personnel with planning on training program so as to improve knowledge and individual skills competency
• Ensure all commitments to customers are fulfilled and carried out within deadlines set
• Ensure high level of service quality to all clients and provide timely, efficient and professional response to all client technical complaints and queries
• Attend site showrounds for repair work and A&A jobs
• Work out the price for tender / quotation submission
• To prepare purchase requisition and purchase order
• To source for external vendors for supplies and materials whenever needed
• To attend meetings and liaise with Building Users to enhance user experience
• To check on overtime claim before handing over to Accounts department

Requirements:

• Degree/Diploma in Engineering or equivalent
• Minimum 8 years relevant experience
• ACMV, Electrical and Engineering experience
• Good Interpersonal Skills and able to develop good working relationships with a wide range of people
• Customer and client management skills

We are looking for a commercially minded Research Manager to join an established shipowning group with a strong presence in global tanker markets. The role sits at the intersection of market intelligence and commercial decision-making, providing forward-looking analysis and market views that directly support chartering, asset, and strategic planning activities. The successful candidate will play a key role in interpreting complex market dynamics and translating them into clear, actionable insights for senior stakeholders. The ideal candidate should have 8-10 years of experience in shipping research, tanker market analysis, or commodity analytics.

Responsibilities:

• Conduct in-depth analysis of global tanker markets, including supply–demand balances, freight rate dynamics, and fleet developments

• Develop and maintain short-, medium-, and long-term tanker market forecasts, including scenario and sensitivity analysis
• Monitor oil trade flows, macroeconomic indicators, and geopolitical developments, assessing their impact on tanker demand and rates
• Act as a key analytical partner to commercial and chartering teams, providing timely market intelligence to support fixing and deployment decisions
• Prepare market reports, presentations, and ad-hoc analyses for senior management and internal stakeholders
• Track regulatory and environmental developments affecting tanker markets and fleet economics
• Support continuous improvement of analytical tools, models, and methodologies to strengthen forecasting accuracy and insight generation

Qualifications:

• Bachelor’s degree in Maritime Studies, Economics, Finance, Engineering, or a related analytical discipline
• 8-10 years of relevant experience in tanker shipping research, shipping analytics, commodity research, or energy market analysis
• Solid understanding of tanker market fundamentals, including supply–demand dynamics, freight rate formation, and global oil trade flows
• Strong quantitative and analytical skills, with the ability to build, interpret, and maintain market models and forecasts
• High proficiency in Excel and data analysis tools; experience with Power BI, Python, or similar tools is an advantage

To apply, please send your CV to talentagent@innergy-consulting.com

We regret that only shortlisted candidates will be notified. Thank you for your understanding!

Key Responsibilities / 主要职责

1. Develop new beverage concepts and recipes, from ideation to commercialization.

开发饮品新品概念和配方，从创意构思到商业化落地。

2. Conduct taste tests, sensory evaluation, and quality control for all beverages.

负责饮品口味测试、感官评估及质量控制。

3. Collaborate with suppliers to source ingredients and optimize cost and quality.

与供应商合作，确保原料供应，优化成本与品质。

4. Analyze market trends and consumer feedback to guide product innovation.

分析市场趋势与消费者反馈，指导产品创新方向。

5. Ensure compliance with Singapore food safety regulations (SFA) and company standards.

确保产品符合新加坡食品安全法规（SFA）及公司标准。

6. Mentor and manage junior R&D staff, maintaining a high-performance team.

培养和管理研发团队成员，保持高效团队运作。

Qualifications / 任职要求

• Bachelor’s degree in Food Science, Culinary Arts, or related field.

食品科学、烹饪艺术或相关专业本科及以上学历。

• Minimum 5 years experience in beverage R&D, preferably in tea, juice, or specialty drinks.

至少5年饮品研发经验，优先考虑茶饮、果汁或特色饮品方向。

• Strong knowledge of beverage formulation, flavor profiling, and ingredient interactions.

熟悉饮品配方、口味调配及原料相互作用。

• Familiarity with Singapore food regulations (SFA) and quality standards.

熟悉新加坡食品安全法规及质量标准。

• Excellent communication, project management, and team leadership skills.

优秀的沟通能力、项目管理能力和团队领导力。

Preferred / 优先条件

• Experience in F&B start-ups or fast-moving beverage chains.

有餐饮创业或快速扩张饮品连锁经验。

• Innovative mindset with a passion for beverage trends and consumer experience.

具备创新思维，对饮品潮流和用户体验充满热情。

Position Summary :

This position is responsible for leading data-driven projects aimed at optimizing industrial processes, improving efficiency, and driving innovation. They oversee the end-to-end project lifecycle, from requirements gathering and data analysis to model development, deployment, and performance monitoring. This role holds a blend of team and project management expertise, technical proficiency in data science and analytics, and a deep understanding of industrial operations.  He/She will be the initiator, influencer and driving the stakeholders to emulate, synchronize and connect to make Thales AVS (both production and repair activities) more sustainable and competitive through innovation and collaboration to achieve industrial excellence. 

Main Tasks  & Responsibilities:

• Team and data science portfolio management: Responsible for the Roadmap of the data science and manage data science ROI and Portfolio, develop requirements and ensure value and benefit the shopfloor operation, guide data science engineers to develop and review their work as well to grow their skills and experience.

• Project Planning: Develop comprehensive project plans, defining scope, objectives, deliverables, timelines, resource allocation, and budget estimates for industrial data science projects.

• Stakeholder Engagement: Collaborate with stakeholders to understand business needs, gathering requirement, operational challenges, and opportunities for leveraging data science to drive value.

• Technical capability on Data Science: Work and guide data engineers and domain experts to identify relevant data sources, extract, clean, and preprocess data for analysis and application and modeling, Mentor and develop data science and data engineering team members, fostering technical excellence, knowledge sharing, and continuous learning within the team.

• Data Analysis and Modeling: Lead data exploration, statistical analysis, and machine learning model development to uncover insights, patterns, and trends in industrial data.

• Model Deployment: Oversee the deployment of data science models into production environments, ensuring scalability, reliability, and integration with existing systems. Deploy standards defined and contribute to their improvements.

• Performance Monitoring: Establish key performance indicators (KPIs) and monitoring mechanisms to track the performance and effectiveness of deployed models over time with business value generated.

• Cross-Functional Collaboration: Coordinate with cross-functional teams, including data scientists, engineers, IT specialists, and business analysts, to ensure alignment and synergy in project execution.

• Risk Management: Identify and mitigate potential risks and challenges associated with data science projects, such as data quality issues, algorithmic bias, and model interpretability.

• Quality Assurance: Implement quality control measures and validation procedures to ensure the accuracy, robustness, and reliability of data science solutions.

• Documentation and Reporting: Maintain detailed documentation of project activities, methodologies, findings, and outcomes, and provide regular progress updates and reports to stakeholders.

• Business Value Delivery: Define, measure and keep track of business value deliverables link to the project ROI

• Data Governance and Data Strategy: Define and enforce data governance standards, including data quality, data lineage, metadata management, and security. Establish data strategies that ensure reliable, scalable, and trusted data pipelines to support industrial analytics and AI initiatives.

• AI/ML Lifecycle Management (MLOps):Implement and manage the end-to-end machine learning lifecycle including experimentation, versioning, CI/CD pipelines, automated model retraining, monitoring for model drift, and continuous improvement.

• Change Management and AI Adoption: Drive adoption of data science solutions by collaborating with operational teams, ensuring that developed models and insights are embedded into decision-making processes and shopfloor operations.

Candidate Profile & Qualifications:

• Bachelor's degree in computer science, data science, industrial engineering, or a related field; advanced degree or relevant certifications preferred.

• At least 8 years proven experience in project management, specifically in leading data science or analytics projects in industrial settings.

• Experience managing small team and data science portfolio

• Experiences on requirement gathering, scoping, data mapping and data driven improvement, digital transformation projects to deliver business objectives are plus

• Strong technical proficiency in data science tools and techniques, including architecting, statistical analysis, machine learning, predictive modeling, and data visualization.

• Experience with industrial data sources, such as sensor data, time-series data, SCADA systems, and IoT devices.

• Excellent leadership, communication, and stakeholder management skills, with the ability to engage and influence both internal and external stakeholders at all levels of the organization.

• Proficiency in project management methodologies and tools

• Knowledge of industrial processes, manufacturing operations, and relevant industry standards and regulations.

• Familiarity with data governance, privacy, and security best practices in industrial environments.

• Experience with process optimization, continuous improvement, and lean manufacturing principles is a plus

• Experience with architecting, IS/IT projects or vendors management is a plus

• Strong disposition toward continuous learning, self-starter and passionate on data science to create business value

• Good attitude, open mind and flexibility to adjust and promote change for continuous improvement

Position Purpose:

• Prepare Authentic Japanese Cuisine

• Lead the kitchen operation team to prepare and deliver quality menu in accordance to concept offering.

• Oversee the implementation of processes and guidelines in Kitchen Operations

• Train & develop kitchen staff in the preparation of all meals to the highest quality standards.

• Position kitchen staff according to operation needs to maximize kitchen efficiencies.

• Manage quality and level of kitchen inventory as well as products delivered from suppliers.

• Understand food cost models and how these impact the profitability of the restaurants.

Responsibilities:

• Menu Execution and Delivery

• Understand food cost models and how these impact profitability of restaurants

• Supervise stations to deliver orders in accordance to defined cooking processes, recipe and health & safety standard

• Conduct final check on finished product to ensure that food quality and presentation are in accordance to specifications of the menu

• Kitchen Processes and Concept Development

• Manage kitchen inventory levels and quality by placing orders for all food and kitchen supplies based on projected store demand endorsed by chef; and upon delivery, check to ensure quality of delivered supplies

• To support the projection and ordering of food and kitchen supplies by providing inventory report detailing usage & stock level, wastage and product shelf life while considering sales pattern and kitchen storage capacity

• Oversee the setting up and cleaning of stations by staff

• Oversee workflow for stations to ensure that processes adhered to specifications and guide line and to provide recommendations to improve efficiency

• Quality Assurance & Control

• Investigate causes and reasons for customer complaints pertaining to food quality

• Oversee operations to ensure compliance with all safety procedures and guidelines

• Oversee preparation of all food in accordance to SOPs to ensure and maintain consistent food quality

• Oversee overall kitchen cleanliness and sanitary conditions and to ensure all kitchen equipment are in good working condition

• Take corrective actions to resolve unsafe and/or non-compliant conditions and behaviors regarding personal and food safety

• People Management

• Lead team by providing guidance, support and motivation

• Conduct induction for new hires to provide them with the necessary skills and information to carry out roles and functions

• Train and develop kitchen and kaiten staffs in the preparation of all meals to the highest quality standards while adhering to SOPs and workplace safety practices

• Carry out team management activities, including and not limited to appraisals, handling disciplinary issues and holding communication sessions in conjunction with immediate supervisor

• Carry out team management conversation with team members, including and not limited to doing appraisals and personal improvement plans in conjunction with immediate supervisor

Requirement:

• Must be able to speak fluent Japanese

Financial Strategic Oversight for Research and Innovation Funds and Grants:

· Assist the Research and Innovation Director and Deputy Director to oversee and manage RIO's finances and funds/ grants

· Provide strategic financial analysis and recommendations to support senior management decision-making

· Monitor utilization and project cashflow to optimize resource management for various research and innovation initiatives

· Develop funding proposals for strategic grants and/or initiatives

Fund Management for Grants:

· Manage the NMRC Centre Grant (CG) funds, including coordinating with Research and Innovation Programmes, Peaks and Enablers

· Work with investigators to prepare project costings and budgets

· Track hiring requisitions for research/innovation-funded positions

· Monitor and ensure compliance with grant terms and conditions

Stakeholder Management and Leadership:

· Coordinate with internal stakeholders (e.g. Investigators, innovators, Programmes/Peaks/Enablers, HR and Finance)

· Manage relationships and liaise with Organisations's Office of Research and external funding agencies

· Supervise and mentor a team of executives in fund management

Administrative Oversight:

· Review purchase requisitions and claims

· Ensure compliance with institutional guidelines and funding regulations

· Coordinate implementation of systems and policies

Requirements

• Min Degree in Business or Finance or related discipline
• Min 6 years experience in research grants and/or fund management

Interested candidates, please forward your resume to jalenetan@recruitexpress.com.sg

Consultant: Jalene Tan (R26160390)
Recruit Express Pte Ltd (99C4599)

Manager, Research

Temasek Foundation (TF) supports a diverse range of programmes that connects people, uplifts communities, protects our planet and advances capabilities in Singapore, Asia and beyond. Temasek Foundation's programmes, made possible through philanthropic endowments gifted by Temasek, strive towards achieving positive outcomes for individuals and communities now, and for generations to come.

Responsibilities

We are seeking a motivated and detail-oriented professional to join as Manager, Research.
Working with relevant members of TF’s leadership team, the individual will conduct research on the corporate philanthropic landscape in Singapore and Southeast Asia.  He/She will conduct research through a strong focus on literature reviews, data analysis, and research write-ups for publication and internal reporting.  Reporting to Chief People Officer (CPO), the Manager, Research is responsible for the following

• Research on Singapore’s corporate and private and philanthropic sector and it’s trends.
• Collate and interpret data to provide overview of the evolving trends of corporate philanthropic space in Singapore and Southeast Asia.
• Identify emerging areas of focus.
• Conduct comprehensive reviews and synthesize findings to support research goals.
• Assist in drafting, editing, and formatting research documents.
• Support data collection, analysis, and presentation of findings in collaboration with the research team.
• Prepare reports and presentations to communicate research findings to internal stakeholders
• Ensure all written outputs are aligned with academic standards and style guides.
• Coordinate with team members and contribute to project timelines and deliverables.
• Maintain organized documentation and version control for all research materials.

Requirements

• Bachelor’s degree in a relevant field such as Social Sciences, Data Science, Public Health, Education, Humanities or related discipline.
• With 5 years of experience in research management or a related field, with a proven track record of delivering impactful insights.
• Strong academic writing skills with demonstrated experience in research documentation and manuscript preparation.
• Strong analytical skills with the ability to interpret complex data.
• Familiarity with qualitative and/or quantitative research methods.
• Excellent written and verbal communication skills
• Excellent attention to detail, time management, and organizational skills.
• Ability to work independently while collaborating effectively with the broader teams.
• Previous experience supporting academic research projects or publications.

Position Purpose

• Provide guidance and day-to-day training to staff within assigned area

• Carry out day-to-day operations in managing floor control to maintain & improve quality, service cleanliness & ambience

• Manage and coordinate activities with people, products and equipment to maximize sales and profit

Responsibilities

Restaurant Operations

• Lead a team of service staff within assigned unit by allocating tasks and roles for individuals in the service team

• Check readiness of restaurant for service day and brief service crew on staffing roster for service day

• Manage customer flow and seating arrangement

• Oversee the service rendered by the team to ensure it meets the quality, service, cleanliness and values standards and to address lapses in service quality when necessary

• Manage cash floats, audit rolls, and provide technical troubleshoot for cash register errors when necessary

• Ensure documentation of all cash shortage and surplus in record book and to tally payment collection

Restaurant Management & Planning

• Act as point of escalation for service crew regarding service issues

• Resolve day-to-day operation issues as and when it occurs and to provide support as necessary to ensure service crew are able to carry out assigned task

• Lead investigation and resolution of all complex customer complaints and/or feedback in a timely and efficient manner

Quality Assurance & Control

• Enforce restaurant quality, service, cleanliness and value standards

• Monitor operations to ensure compliance with all safety procedures and guidelines in the restaurant

• Implement corrective actions to resolve unsafe and/or non-compliant conditions and behaviors regarding personal and food safety

People Management

• Conduct induction for new hires to provide them with the necessary skills and information to carry out roles and functions

• Provide training to encourage role rotation amongst service staff

• Train and monitor staff in the company SOPs (standard operating procedures)

• Ensure workplace safety practicesPosition Purpose

• Provide guidance and day-to-day training to staff within assigned area

• Carry out day-to-day operations in managing floor control to maintain & improve quality, service cleanliness & ambience

• Manage and coordinate activities with people, products and equipment to maximize sales and profit.

A Day in the Life:

• Develop creative design concepts and formulate project design packages using CAD, Sketchup and 3D Software

• Prepare detailed design documentation, including technical drawings, specifications, and mood boards

• Coordinate with contractors and vendors to ensure the successful implementation of design plans

• Manage design projects from start to finish, ensuring deadlines and budgets are met

• Collaborate with the wider design team to deliver cohesive, innovative interior solutions

• Conduct design presentations to prospective buyers to convey design intent

• Review progress on site and be responsible for design quality and experience

• Perform any other ad-hoc duties
  

What We Are Looking For:

• Degree in Interior Design or Architecture

• Minimum 2 years of relevant experience in the interior design industry

• Experience in retail store environments and design of retail/corporate fixtures is a plus

• Strong understanding of design principles, design sensibility, and technical ability to develop a project from conceptualisation to execution

• Proficiency in design software such as AutoCAD, SketchUp, and Adobe Creative Suite

• Excellent communication and client-facing skills

• Ability to work collaboratively in a team environment

• Creativity, attention to detail, and a passion for interior design

Position Purpose:

• Prepare Authentic Japanese Cuisine

• Lead the kitchen operation team to prepare and deliver quality menu in accordance to concept offering.

• Oversee the implementation of processes and guidelines in Kitchen Operations

• Train & develop kitchen staff in the preparation of all meals to the highest quality standards.

• Position kitchen staff according to operation needs to maximize kitchen efficiencies.

• Manage quality and level of kitchen inventory as well as products delivered from suppliers.

• Understand food cost models and how these impact the profitability of the restaurants.

Responsibilities:

• Menu Execution and Delivery

• Understand food cost models and how these impact profitability of restaurants

• Supervise stations to deliver orders in accordance to defined cooking processes, recipe and health & safety standard

• Conduct final check on finished product to ensure that food quality and presentation are in accordance to specifications of the menu

• Kitchen Processes and Concept Development

• Manage kitchen inventory levels and quality by placing orders for all food and kitchen supplies based on projected store demand endorsed by chef; and upon delivery, check to ensure quality of delivered supplies

• To support the projection and ordering of food and kitchen supplies by providing inventory report detailing usage & stock level, wastage and product shelf life while considering sales pattern and kitchen storage capacity

• Oversee the setting up and cleaning of stations by staff

• Oversee workflow for stations to ensure that processes adhered to specifications and guide line and to provide recommendations to improve efficiency

• Quality Assurance & Control

• Investigate causes and reasons for customer complaints pertaining to food quality

• Oversee operations to ensure compliance with all safety procedures and guidelines

• Oversee preparation of all food in accordance to SOPs to ensure and maintain consistent food quality

• Oversee overall kitchen cleanliness and sanitary conditions and to ensure all kitchen equipment are in good working condition

• Take corrective actions to resolve unsafe and/or non-compliant conditions and behaviors regarding personal and food safety

• People Management

• Lead team by providing guidance, support and motivation

• Conduct induction for new hires to provide them with the necessary skills and information to carry out roles and functions

• Train and develop kitchen and kaiten staffs in the preparation of all meals to the highest quality standards while adhering to SOPs and workplace safety practices

• Carry out team management activities, including and not limited to appraisals, handling disciplinary issues and holding communication sessions in conjunction with immediate supervisor

• Carry out team management conversation with team members, including and not limited to doing appraisals and personal improvement plans in conjunction with immediate supervisor

Requirement:

• Must be able to speak fluent Japanese

The Restaurant Manager is responsible for overseeing the efficient running and profitability of the restaurant and for managing employees.

He/she needs to be able to lead as well as work as part of a team.

The job reports to the Vice-president, Area is accountable for average sales of S$250k per month depending on the size of the restaurant. Job Responsibilities:

•Daily roll call with employees to drive operations effectiveness and efficiency via cleanliness of the restaurant, accurate food order taking, servicing the customer, promotions etc •Proactively communicate to employees on KPIs on sales, service and food quality so that together each achieve more (TEAM) •Be fully knowledgeable with the restaurant operation and to efficiently manage the operation of all shifts •Communicate with Chef on guests’ requirements, and maintain a close and professional working relationship with the kitchen at all times •Maintain safety requirements at the restaurant •Ensuring compliance with licensing, hygiene and health and safety legislation/guidelines •Managing budgets • Manage stock levels of food and other related utensils and cutleries •Handle customers’ compliments and complaints promptly

•Deliver and present manpower and sales reports

•Suggest and recommend improvements to the running of the restaurant

•Administer and action daily mails, guest report lists, staff rosters, operations reporting and other paperwork promptly and accurately

•Be aware of the current business environment and to bring in sound ideas to increase sales, decrease spending, up selling orders and maximising guests spending where possible

•Communicate effectively with the other departments and colleagues, suppliers and contractors to ensure that all information is communicated clearly and follow up actions are coordinated well

•Assist in recruitment needs

•Responsible for induction training and on the job training of new employees and also newly promoted staff

•Appraise employees to reward and punish fairly

•Understand the need for training and development of employees and to take a proactive approach in training employees especially mandatory training like Basic Food Hygiene and Safety

Job Requirements:

•Preferably with Degree/Diploma in Hospitality related studies or with WSQ Certificate in F&B Operations / F&B Supervision / F&B Management

•Passion for excellent customer service

•Able to lead a team in a fast paced and demanding environment

•Possess good business acumen, results driven and highly organised

•Excellent interpersonal and communication skills

Interested candidates, please forward your detailed resume as well reason for leaving (past and present employment, all last drawn salary please email to hrta@res.com.sg)

Key Responsibilities

Strategic & Business Development

• Support the development and execution of SME development strategies aligned with SIMTech’s key industry pillars.
• Identify and evaluate new markets, emerging opportunities, and strategic partners to strengthen the supply chain and drive ecosystem growth.
• Track industry trends and competitor activities to inform SIMTech’s R&D and industry engagement roadmap.

Partnership & Ecosystem Engagement

• Lead or support major strategic partnership initiatives, including joint labs, co-development projects, and collaboration programmes.
• Build strong, trusted relationships with industry leaders, Trade Associations & Chambers (TACs), and Enterprise Singapore (EnterpriseSG).

Proposal & Project Management

• Drive or support the preparation of industry proposals and funding submissions.
• Ensure high-quality documentation and timely delivery of all business development materials.
• Coordinate cross-functional teams in proposal development, budgeting, and project planning.

Team Leadership

• Supervise and mentor junior Tech Biz staff.
• Promote best practices and knowledge-sharing across the team.

Qualification and relevant experience:

• Bachelor’s degree in engineering, business, or a related field (Master’s preferred).
• Experience in business development, industry engagement, or technology commercialisation.
• Strong communication, stakeholder management, and analytical skills.
• Ability to work independently and lead initiatives in a fast-paced environment.
• Passion for manufacturing innovation and industry transformation.

Key Responsibilities

Strategic & Business Development

• Support the development and execution of SME development strategies aligned with SIMTech’s key industry pillars.
• Identify and evaluate new markets, emerging opportunities, and strategic partners to strengthen the supply chain and drive ecosystem growth.
• Track industry trends and competitor activities to inform SIMTech’s R&D and industry engagement roadmap.

Partnership & Ecosystem Engagement

• Lead or support major strategic partnership initiatives, including joint labs, co-development projects, and collaboration programmes.
• Build strong, trusted relationships with industry leaders, Trade Associations & Chambers (TACs), and Enterprise Singapore (EnterpriseSG).

Proposal & Project Management

• Drive or support the preparation of industry proposals and funding submissions.
• Ensure high-quality documentation and timely delivery of all business development materials.
• Coordinate cross-functional teams in proposal development, budgeting, and project planning.

Team Leadership

• Supervise and mentor junior Tech Biz staff.
• Promote best practices and knowledge-sharing across the team.

Qualification and relevant experience:

• Bachelor’s degree in engineering, business, or a related field (Master’s preferred).
• Experience in business development, industry engagement, or technology commercialisation.
• Strong communication, stakeholder management, and analytical skills.
• Ability to work independently and lead initiatives in a fast-paced environment.
• Passion for manufacturing innovation and industry transformation.

Key Job Purposes :

Management of the assigned regional R&D activities pursuing the strategy set by corporate R&D headquarter in Sysmex Corporation, Japan. Achieving technology strategy (incl. technology acquire /scouting, KOL network and identification of regional requirement for Diagnostics business and/or R&D). Plan and practice to promote specific R&D activity and technology acquisition.

Key activities include acquisition of technologies represented by AI technology and digital technology, building relationships with technology partners as R&D networking, and support for projects including assisting the head of the new R&D center in the AP (including the project organized by Sysmex Corporation).

Job Responsibilities:

1. Technology development

Conduct research and development on elemental technologies (medical data science including AI) to realize digital medical care and acquire technology.

Utilizing data analysis technologies such as model construction and machine learning for medical data, digital medical care.

• Based on the annual plan and/or strategies, to develop the elemental technology regarding AI, Medical Digital Transformation and Data Science in collaboration with regional partners.
• Review the research and development status and revise and propose updated plan for development the elemental technology.
• Lead development of the proof of concept model (concept application) to accelerate regional R&D activities.

2. Research Activity

Search for regional needs in digital and other areas in the Asia Pacific (AP) region, and input information to corporate R&D headquarter in Sysmex Japan for formulating technology and business strategies.

• Plan / update a master plan for research activity.
• Analyze technology trend and market information for gaps, product positioning and strategy development.

3. Collaboration Activity

Promote collaboration with various partners (companies, academia, medical institutions, etc.) in elemental technology acquisition activities.

• Develop and maintain technological/business relations with key opinion leaders and various scientists in top academia, medical institute, private hospitals, healthcare, government institutions, diagnostic lab chains and other related start-ups.
• Drive the co-creation in collaboration with the above partners and execute specific R&D themes.

4. Organization Support

Assist the Head of the new R&D center in the AP to support cross-organizational activities.

• Support with the Head in terms of building organization
• Work closely with Technology Strategy Division of Sysmex Corporation.

Job Requirements:

• Minimum Bachelor of Science Degree /Informatics Degree with 5 years of development experience in fields related to informatics such as digital (Dx) and AI
• Experience in leading and giving instructions in a small team
• Proficiency in Japanese is a must
• Proven analytic skills with ability to understand complex market & product data to produce sound business recommendations
• Ability to analyze & prioritize opportunities and generate proposals further decision-making
• High level of planning and execution skills
• MS Word, Excel, PowerPoint
• Understanding of basic financial statements
• Enthusiastic, self-starter with strategic focus, positive thinking
• Focused on integrity, customer oriented, accountability and respect
• Basic development experience in the IVD / life science industry (including experience in clinical / research laboratories and experience in studying medical digital transformation)
• Travel requirements: Occasionally
• Required to work on weekends occasionally

About Trust Data Science at LinkedIn
The Trust Data Science team powers the mission of creating safe, trusted, and professional experiences on LinkedIn through rigorous metrics, experimentation, and advanced data solutions. Measuring trust is inherently challenging as abuse is adversarial, ground truth is noisy, and outcomes are often long-tailed. We tackle these challenges using advanced statistical techniques to design and build robust, actionable metrics, make them experimentable, while building highly reliable, semantically rich data pipelines enabling data-driven decision making across the Trust organization. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

About the role
We are hiring a senior engineering and data leader to lead our Trust Data Engineering Solutions team, a critical and strategic pillar of Trust Data Science at LinkedIn. This team owns the data foundations, platforms, and user facing tools that power Trust measurement, decision‑making, and AI‑driven workflows for the Trust R&D organization. 

This role sits at the intersection of data engineering, full‑stack development, and AI‑enabled analytics. It directly enables both human decision‑makers (data scientists, analysts, PMs, engineers and ops) and machine consumers (analytics agents, experimentation systems, ML and agentic platforms) to safely, reliably, and accurately drive data driven decisions. 

This is a high‑judgment leadership role: you will define how Trust data is produced, standardized, governed, discovered, and consumed - at scale and under real‑world constraints.

Responsibilities: What you and your team will own:

Trust data foundations

• Own the end‑to‑end strategy and evolution of Trust data foundations, including:

  • Canonical Trust metrics

  • Authoritative datasets (metrics, system data, telemetry)

  • Measurement‑critical pipelines used by Trust R&D org and external compliance reporting

• Architect and operate complex, multi‑system data pipelines spanning telemetry ingestion, transformation, ML based measurement, and serving

• Set and uphold explicit SLAs across latency, freshness, correctness, and availability, balancing speed with Trust‑grade reliability

Platform integration & ecosystem leadership

• Platformize Trust data by deeply integrating with:

  • Unified metrics and dimensional foundations

  • Experimentation and evaluation platforms

  • Analytics agents and GenAI‑enabled tooling

• Act as a technical partner and peer to trust foundations, data infra, ML infra and experimentation teams

Trust‑native tools & data democratization

• Lead the development of Trust‑native data products, including:

  • Dashboards and reporting surfaces

  • Data access APIs and services to LinkedIn wide data and agentic platforms

  • Internal data tools that lower the barrier to safe, correct data usage

• Democratize access to Trust data for analysts, data scientists, PMs, Engineers and Trust Ops, while maintaining appropriate guardrails.

• Enable agent‑based consumption of Trust data by making datasets and metrics discoverable, well‑annotated, and machine‑interpretable

Standards, governance, and context

• Establish and drive adoption of standards for telemetry, schema, metadata, and annotation across fragmented upstream systems

• Ensure Trust data carries the right context, definitions, assumptions, limitations, and lineage to support accurate retrieval and high‑stakes decisions.

People & org leadership

• Build, lead, and develop a high‑impact team of data and platform engineers

• Set a strong technical and cultural bar through architecture reviews, design rigor, and mentorship.

• Help grow senior ICs and future leaders within the Trust Data Engineering Solutions org

Key challenges your will help tackle:

• Fragmented and inconsistent Trust telemetry across multiple upstream systems

• Complex DAG orchestration with heterogeneous SLAs and dependencies

• Measurement pipelines that combine data engineering with ML models

• Making Trust data discoverable, explainable, and safe for both humans and AI agents

• Scaling platforms without sacrificing metric integrity