Total 51 Science / R&D / Research job vacancies in Seventeen Mile Rocks

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Data preparation, processing, analysis and annotation.
• Development of deep learning and AI-based methods.
• Report writing.
• Statistical analysis.
• Meeting arrangement.
• Presentation.
• Other duties assigned

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on deep learning and AI.
• Minimum 2 years of relevant research experience in deep learning and AL.
• Some knowledge in machine learning, data analysis and statistics.
• Programming in Python will be an advantage.
• Knowledge in large language model prompting.
• Experience with research works is preferred.
• Good analysis and problem-solving skills.
• Applicants with research publications in related areas will be advantageous.
• Self-motivated individual who can work independently and with team members.

#LI-JN2

Description

Flowdesk's mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency.

To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines.

We seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure.

Given our rapid growth, we've also launched our Early Talent Program, designed to attract and develop high-potential students through internship experiences. This program aims to build a strong pipeline of future full-time employees who are already aligned with our culture and expectations.

You have strong quantitative analysis skills and you are in search of a challenge in the cryptocurrency environment? Then we have what you're looking for! As a Quant Researcher Intern APAC, you'll have the opportunity to join a team focused on researching, interpreting, and capitalizing on crypto trading markets.

We are looking for someone with a computer science or coding background who would like to develop their skills in the team.

Role and responsibilities

• Provide first-level support to the quant research activities
• Develop and generate post-trade analysis reports
• Assist quant researchers in their day-to-day crypto operations and strategies

Requirements

Background and experience

• University degree or Master, preferably in Quantitative Finance, Computer Science, Engineering, Mathematics, Statistics or related.
• Strong analytical and communication skills
• Knowledge of Python and other coding languages
• Experience with trading or crypto-preferred

Background and experience

• Curious and autonomous
• Highly motivated and results-driven
• Strong maths and analytical skills
• Professional proficiency in English Start Date, starting in July 2026
• What would be the Internship duration ? 6 months (5 days in a week, full time on-site)
• Who is eligible ? Final-year students or recent graduates

Benefits

• Team events and offsites

Recruitment process
Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet!

• Here's what you can expect if you apply
• Technical Assessment (80')Technical Interview (45')
• Culture Interview with the HR (30')

On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!

We are committed to an inclusive and accessible recruitment process. If you require any reasonable adjustments or have specific needs to enable you to participate fully in the interview or assessment process (e.g., a sign language interpreter, extra time for a test, or an accessible location), please contact us to discuss how we can support you.

Key Responsibilities:

• Teach IB/A-level/IGCSE Mathematics or Science (AA and AI, SL and HL levels) to students in international schools
• Develop and update engaging lesson materials aligned with the respective syllabus
• Guide students in preparing for exams and completing IB Internal Assessments (IA)
• Participate in academic planning and teaching team discussions
• Assist in managing our social media presence, particularly the math content on Xiaohongshu (RedNote)
• Provide content input to math-related posts, study tips, or highlights of student achievements
• Attend teacher meetings and contribute to teaching quality improvement

Requirements:

• Bachelor’s degree or higher in Mathematics, Science, or a related field
• Strong command of English and Mandarin (spoken and written)
• Prior experience teaching international curriculum is preferred
• IB Diploma graduates with a strong background in IB Mathematics are highly encouraged to apply
• Responsible, patient, and able to communicate effectively with students
• Familiarity with Xiaohongshu (RedNote) or a strong interest in content creation is a plus
• Ability to work independently and collaboratively in a team environment

Preferred Skills:

• Familiarity with online teaching tools and platforms.
• Experience in preparing students for university admissions, personal statements, or scholarship applications.

Benefits:

• Competitive salary or internship stipend.
• Opportunity to work in a nurturing educational environment.
• Professional development and career growth opportunities.
• Flexible working hours.

Both full-time and part-time positions are available.

Job Description

We are seeking an Investment Professional to cover investment research in commodities, specifically, base metals and ferrous metals sector.

This role will work closely with the rest of the investment team to conduct in-depth research and analyze data on base metals and ferrous metals market, develop strategic portfolio plans aligned with risk-return objectives, assess and quantify risks associated with investment decisions, and collaborate with cross-functional teams while ensuring compliance with regional regulations.

This role needs to consistently act with integrity, due skill, care and diligence, uphold ethical standards, pay due regard to the interests of investors and treat them fairly by avoiding conflicts of interest.

Requirements

1. Education: Master's degree in finance, economics or a related field.
2. Experience: Minimum 6 years of experience in global base metals and ferrous metals research, trading and risk management.
3. Market Expertise: Deep knowledge of global base metals and ferrous metals markets, supply chains, regulatory frameworks and derivatives market.
4. Technical Skills: Proficiency in fundamental analysis of base metals and ferrous metals market and trading/risk platforms.
5. Soft Skills: Strong analytical thinking, strategic planning, cross-functional communication, and the ability to thrive in fast-paced, volatile environments.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting design and development of sensor networks and Internet-of-Things (IOT) systems for in-home sensing and machine learning models for analyzing digital biomarkers and human activity data for the purpose of cognitive health monitoring and wellbeing analysis. Successful candidate will join an active research team led by Prof TAN Ah Hwee from School of Computing and Information Systems, Singapore ManagementUniversity.

Candidate's core responsibilities are:

• Project administration, user management
• Design, deployment and maintenance of sensor networks and Internet of Things (IOT) system for in-home sensing of human behaviour and activities
• Integration of in-home sensors, home gateway, and backend cloud servers for data collection
• Development of software for digital biomarker feature extraction and data analytics
• Building of machine learning and predictive models based on digital biomarkers and spatial temporal data
• Documentation and preparation of technical reports
• Other duties as assigned

• Diploma or Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an nstitution of higher learning
• Minimum 1-2 years of relevant research experience with sensors, Internet-of Things, data analytics, artificial intelligence, or related fields
• Good analytical, technical and problem solving skills
• Knowledge/Proficiency in hardware sensors, cloud computing, networking and programming languages, such as Python, Java and C/C++• Competency in application prototype design and development
• Good writing, communication and interpersonal skills

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Lead and develop independent research directions within the project, including problem formulation, methodological development, and empirical validation.
• Publish research findings in top-tier journals and conferences in Operations Research, AI, and related fields.
• Disseminate research outcomes through presentations and other scholarly channels.
• Contribute to translating research into practice through engagement with policy and industry stakeholders. Mentor graduate and undergraduate researchers involved in related projects.
• Support grant management and project coordination activities.
• Other duties as assigned.

• Applicants should indicate one or more areas of interest aligned with the following themes:
• Pillar 1: Supply Chain, Logistics, and Mobility Systems
  • Human-centered demand forecasting and adaptive inventory management.
  • Fairness-aware and multi-objective optimization for resource allocation.
  • Multi-agent and human-machine collaboration in logistics and transportation systems.
• Pillar 2: Emergency Response and Crisis Management
  • New paradigms for emergency responders and rescue systems.
  • Transfer learning and diffusion-model learning for diffusion/spread processes.
  • Human-centered contact tracing and crowd management.
• Pillar 3: Healthcare Operations and Policy
  • Data-driven modeling of healthcare demand, capacity, and congestion.
  • Design of operational policies under uncertainty (e.g., screening, triage, resource allocation).
  • Integration of behavioral, clinical, and system-level considerations in healthcare delivery.

• PhD (completed by start-date) in Operations Research, Industrial Engineering, Computer Science, Artificial Intelligence, Transportation, Logistics, or a closely related field.
• Strong background in optimization (e.g., integer/combinatorial optimization, stochastic/robust/online optimization, network models, queueing systems, simulation-based optimization).
• Strong background in machine learning (e.g., representation learning, sequence/time-series modeling, probabilistic modeling, or learning under distribution shift).
• Proven research track record (publications, strong writing, ability to frame contributions clearly).
• Solid programming skills; proficient in using AI tools for research.
• Ability to work independently, manage research milestones, and communicate effectively in a collaborative environment.
• Preference for candidate who has
  • Experience with large-scale, constraint decision problems (e.g., operations, mobility, logistics, healthcare, or emergency response)
  • Experience with multi-agent systems, multi-objective optimization, fairness-aware modeling, or human-centered decision-making approaches
  • Experience with reinforcement learning, diffusion or spread models, explainable AI, transfer learning, or learning under non-stationarity or distribution shift
  • Experience in developing reproducible research codebases (e.g., version control, experiment tracking, and documentation)

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Conduct high-quality research on video deepfake detection.
• Generating/Collecting video deepfake data.
• Implementing deep learning related programs.
• Other duties as assigned.

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on video deepfake detection or video analysis.
• Minimum 2 years of relevant research experience in video analysis.
• Proficiency in programming software/languages such as Python and C++ will be positively considered/ is required.
• Proven track record and professional experience in computer vision.
• Demonstrated experience and know-how on video analysis.
• Excellent working knowledge of video analysis.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with strong research publications in deepfake detection area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Build and maintain end-to-end data pipelines, including data ingestion, cleaning, validation, feature engineering, and dataset versioning.
• Develop and manage research codebases for optimization and machine learning experiments, ensuring reproducibility and scalability.
• Implement optimization algorithms (e.g., LP/MIP, heuristics, decomposition methods, simulation-based approaches) and integrate them with learning components.
• Develop internal tools (e.g., APIs, evaluation frameworks, benchmarking pipelines, dashboards) to support research workflows.
• Support large-scale experimentation, including performance optimization, parallelization, and reproducibility.
• Collaborate closely with researchers to translate conceptual models into robust, reusable implementations
• Other duties as assigned.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Data Science, Operations Research, or a related field.
• Strong programming skills in Python; experience with production-quality code (testing, modular design, version control).
• Experience building data and/or machine learning pipelines (e.g., pandas, SQL, workflow tools).
• Experience implementing algorithms and running large-scale experiments.
• Familiarity with Linux environments, Git, and reproducible workflows (e.g., conda, Docker).
• Proficiency in using AI tools to support development and experimentation.
• Strong problem-solving, communication, and collaboration skills.
• Preference for candidate who is familiar with
  • Optimization tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo, cvxpy, JuMP)
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experiment tracking tools (e.g., MLflow, Weights & Biases)
  • Experience with cloud or HPC environments and parallel computing frameworks (e.g., Ray, Dask, MPI)
  • Experience developing internal research tools (e.g., benchmarking systems, evaluation pipelines, dashboards).

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Centre for Research on Successful Ageing (ROSA).
• Research and Publications
  • Assist with quantitative data analysis, survey design and research support for research briefs and academic journals.
  • Contribute to research collaborations with government ministries and agencies.
  • Publication of academic papers (co-authoring alongside researchers in economics / sociology / psychology/ data science)
• External Engagements
  • Handle requests for information from researchers and other interested parties related to the panel.
  • Assist with the reports and presentation decks for external audiences and stakeholders.
  • Engage in outreach activities, including:
    • Organising symposiums, workshops, seminars, roundtables andconferences;
    • Community outreach programs;
    • International research collaborations;
    • Fundraisingactivities with private and government organisations.
  • Depending on their abilities and preferences, this person also may represent the Centre externally,whether in the media, professional organisations, government or other forums.
• Other ad-hoc administrative duties as required by the Centre.

• Bachelor's degree (for research assistant) and Master's degree (for research associate).
• Background in economics or social sciences preferred.
• Advanced user of Microsoft Office Suite (Word, Excel, Powerpoint).
• Well-trained in research methods.
• Quantitatively trained, with experience of STATA or SPSS.
• Detail-oriented with exacting standards to maintain accuracy and impartiality in all work products.
• Ability to work independently to carry out special projects from start to finish.
• Ability to balance numerous tasks simultaneously and is organised.
• Clear capacity to train and develop skills in coworkers.
• Ability to work cohesively and effectively in a team setting and take a leadership role in managing the work of colleagues when needed.
• Editorial judgment and proven ability to communicate research methodology and survey results clearly andconcisely in the Centre's style in both verbal and written form.
• Interest in expanding skills to cover new analytical tools and methods.

#LI-XL1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor Degree in Software Engineering/Computer Science/Information Systems.
• Minimum 1 year of relevant research experience in AI for Software Engineering research.
• Research capability as evidenced by tangible deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.

#LI-JN2

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower Research Capital seeks a Quantitative Researcher to join one of our trading teams in Singapore. As a Quantitative Researcher, you will be using in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market micro-structure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top-tier university
• Prior internship experience in financial trading would be advantageous
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Good experience with signal generation and statistical models
• Strong programming skills in C++ and Python

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The SMU Urban Institute is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing projects at the Institute.

• Co-author manuscripts for submission to peer-reviewed journals, using previously collected datasets.
• Design and conduct new qualitative and mixed-method studies, including interviews, focus groups, and social media analysis.
• Collect, clean, organise, and analyse data using qualitative software and multi-method frameworks.
• Carry out cross-country comparative analysis with a focus on Southeast Asian contexts.
• Translate research findings for non-academic audiences and engage with external stakeholders.
• Collaborate with colleagues and researchers from other disciplines as part of an interdisciplinary team.
• Compile research reports and contribute to grant reporting and documentation as required.
• Undertake any other research-related duties as assigned by the Principal Investigator.

• Master's degree in a relevant social science, arts, or humanities discipline.
• Minimum 2 years of research experience in an interdisciplinary environment spanning social sciences, arts, and/or humanities.
• Demonstrated academic writing ability, evidenced by publications, working papers, or equivalent outputs.
• Prior experience working in mixed teams that include scientists, engineers or computing researchers.

#LI-XL1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Provide research assistance for LKC Chair Professor's research projects.
• Compile and clean data from various sources, construct empirical measures.
• Data analysis and statistical analysis of the research studies.
• Compile information and write research reports.
• Assist to prepare manuscripts for publication in targeted journals.
• Any other research-related work assigned.

• PhD or Master's degree in Accounting, Computer Science, Economics, or related fields (with substantial computing/programming training). Undergraduate or Master degree and research experience in Accounting / Finance / Economics / Statistics is a plus.
• Knowledge of computer science foundations and fundamental / information studies.
• Knowledge in programming languages, knows how to work with operating systems and how to maintain databases, especially in Big Data Management.
• Knowledge in accounting, in particular, the ability to understand financial reports.
• Experience/training in accounting, finance, business, or economics research; able to collect data from various resources.
• Competency in the use of statistics in research.
• Ability in using and/or programming using statistical software (e.g. SAS, Stata, Python).
• Ability to handle a high volume of quantitative work, with attention to details.
• Excellent oral, interpersonal and written communication skills.

#LI-XL1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for SMU Resilient Workforces Institute (ResWORK)
• Implement AI models, explanations, and interactive ML techniques.
• Design and implement web-based prototypes.
• Conduct analyzing experimental and interaction data.Contribute to technical documentation and demonstrations.

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 1 years of relevant research experience in AI and machine learning.
• Experience in web-based prototyping.

#LI-XL1

The Position

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

Tasks & Responsibilities

Stakeholder engagement

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

Gathering insights

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

Collaborations

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

About our future employee

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