Total 288 Science / R&D / Research job vacancies in Monroeville PA, 2570 Haymaker Road

Job Description:

• Manage the planning and running of assigned of assigned research programme and projects.
• Coordinate with internal and external stakeholder to ensure project meet within the timeline.
• Manage approved funding and expenditure, including corresponding with funder, handling purchases and tracking the utilization of budget.
• Monitor progress of research activities and outcomes and prepare relevant reports.
• Any other duties assigned by Senior Manager/ Director

Requirements:

• Minimum Bachelor Degree in Life Science Biological Science or equivalent
• Minimum 5 years of experience in supervisory, operations and administrative work in a healthcare organisation will be an advantage

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams. **

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Kam Xiu Ping

EA Personnel Reg No: R21101828

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

• Ingest and curate laws and regulations into a structured format for use in LLMs
• Collaborate with a cross-disciplinary team to ensure the legal fidelity of the model's outputs
• Analyze and identify gaps or challenges in representing legal rules and principles as datasets
• Contribute to discussions on the jurisprudential aspects of legal data representation
• Provide legal expertise to guide the development of AI systems in compliance with Singaporean law

• Singapore law degree (LL.B. or higher) is essential. Strong understanding of Singapore's legal framework, particularly in [insert specific domain]
• Interest in jurisprudence and the theoretical foundations of law
• Familiarity with AI technologies and an eagerness to explore how law can be integrated into machine learning models
• Ability to work independently and collaboratively within an interdisciplinary team
• Prior experience or interest in legal informatics, legal data representation, or law and technology is an advantage.
• Prior experience in conducting research work will be preferred

#LI-JN2

Research Scientist – Simulation Technology

NVIDIA is searching for a world-class Research Scientist to join our growing research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

What you will be doing:

• Apply deep learning techniques to the simulation of complex physical phenomena such as fluid dynamics, fracture of materials, combustion, audio synthesis and propagation, and more.
• Work on improving realism and immersive qualities of VR environments and interactions, including intelligent characters, behavior of crowds and traffic, and human-machine interface problems.
• Participate in numerous projects to conduct Deep Learning research and publish papers to well known conferences. (ex. ICCV)
• Product development for technology in Games, Virtual Reality, Education and other applications.

What we need to see:

• Completing or recent completion of a PhD or equivalent experience in Computer Science or a related field.
• Expertise in computer graphics, simulation or game development.
• In depth experience with C++/C, CUDA, DX, or OpenGL.
• Dedication to producing high quality and creative results in a collaborative environment.
• Excellent work ethic and problem-solving skills.

Ways to stand out from the crowd:

• You are a great communicator who is self-motivated towards the team goal.
• You take pride in helping others and welcome mentoring others around you.
• Sharp mathematics skills.

Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, Nvidia’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why Nvidia GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative, autonomous and have a passion to impact the world? If so, apply today!

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

• 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

• Excellent Bachelor Degree in Software Engineering/Computer Science/Information Systems from a top-tier or local university. A Master Degree will be preferred
• Research experience in AI or Software Engineering, resulting in at least one submission/publication in a reputable research venue
• Excellent knowledge about AI
• Highly fluent in programming
• 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

#LI-JN2

Location: Parkway Central, Marine Parade.
Working days: 5 working days
Working Time: 44 hours per week

Job Description

• Display strong classroom delivery skills according to centre suggested methodology
• Conduct group tuition classes in Maths and Science for primary and secondary students
• Effectively utilise teaching materials to create a stimulating and engaging learning environment
• Mark and grade students’ assignments with value-added feedback
• Perform required classroom administration responsibilities
• Foster good relationships with students’ parents through regular written and/or verbal feedback
• Work together with the customer service team to provide all stakeholders with a positive customer experience
• Participate in curriculum development (full-time)

Job Requirements

• Bachelor's degree or equivalent
• Up-to-date with latest AEIS syllabus, MOE syllabus
• 1-2 years of teaching experience

Job Description:

• To perform clinical activities and administrative work associated with running of the Hospital Kidney Transplant Programme.
• Assist potential donors and recipients in the entire kidney transplant process, includes providing counselling and conducting transplant workup for potential donors and recipients.
• Attend to and evaluate referrals by renal physicians for live and deceased donor transplants from other hospitals.
• Maintain close connections with stakeholder and MOH officials pertaining to organ donation and transplantation.
• Provide counselling to patients and their families for those patients with no overt contraindications and are considering deceased donor kidney transplants.
• Evaluate and prepare a patient for deceased donor kidney transplant when the patient has been selected.
• Provide discharge teaching to patients and assist in the follow up care.

Requirements:

• Registered Nurse with a minimum of 5 years working experience preferred
• Minimum Bachelor Degree in Nursing, Life Sciences, Psychology, Social Science or equivalent.

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

** We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

** JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams. **

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Kam Xiu Ping

EA Personnel Reg No: R21101828

Job Description:

• Conduct statistical analysis and provide statistical support for research project
• Assisting identify stakeholders needs and clarifying the research/ evaluation question
• Planning and overseeing data collection to support related program evaluation
• Expanding the stakeholder base for health program evaluation and strengthening partnership with existing collaborators
• Performing data extraction and compiling statistical data for reporting

Requirement:

• Bachelor Degree with concentration in Statistics, Mathematics or equivalent

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click Apply Now button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities. **

** JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams. **

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel No: R21101828

EA Personnel Name: Kam Xiu Ping

Suntory is a global leader in consumer-packaged goods, renowned for producing and distributing a uniquely diverse portfolio of beverages, premium spirits, beer, wine, and wellness products throughout the world. With a history dating back to 1899, we are driven by a profound purpose: To inspire the brilliance of life, by creating rich experiences for people, in harmony with nature. At Suntory Beverage and Food, we boldly move forward together to realize the dreams of becoming a world-leading next-generation global beverage company, always together with Seikatsusha – you are an important part of this and here’s how your role helps us win.

We are seeking an inquisitive and tenacious Assistant Manager, Scientific Research to join our Scientific Research team at Suntory Beverage & Food Asia Pacific. In this role, you will be conducting commercial research to contribute to business. Commercial research refers to developing and validating the efficacies of new functional ingredients for new product development; investigating the efficacies of existing products as well as to discover bioactive compounds or markers that can be used for communication.

Job Responsibilities

• Propose, design and manage biological studies to demonstrate the efficacy and safety of food and/or health supplement products.
• Assess existing science, identify research gaps, and propose studies for new ingredient development for New Product Development (NPD) with deep understanding of consumer needs, health and ingredient trends.
• Assess existing science, identify research gaps and propose studies to support communication of benefits of health supplements and/or to meet health claim regulatory requirements.
• Work with external scientist/professionals/key opinion leaders on research collaborations.
• Manage various aspect of studies, including proposal of research topics, protocol design, budget management, timeline management, statistical analysis results review, manuscript writing, etc.
• Collaborate with cross-functional project teams including regional and local marketing, regulatory affairs and product development teams for business direction alignment and execution of biological studies.

Skills & Experience

• Doctor of Philosophy (PhD), Master, Bachelor Degree in Science, Life Science, Biology or Biochemistry. Other doctorate or Master’s Degree with relevant working experience will be considered.
• Commercial experience in food industry or nutritional products and industrial collaborations is highly advantageous.
• Possess common biological technical skills such as cell culture, western blotting, ELISA, real time PCR, microscopy, etc.
• Experience with cell culture work & screening platform using human/animal cells.
• Possess commercial acumen to link the research to business output
• Strong communication skills - able to explain the science in simple laymen’s terms to non-scientist stakeholders.
• Possess consumer-centric mindset.
• Chemistry skills such as fractionation, peptide isolation and identification highly advantageous.
• Having an understanding of the regulatory environment (especially in Asia Pacific) and health claim requirements for food and health supplements would be advantageous.

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

• Code development.
• Database management.
• Data analysis and visualizationd.
• Experiment design and implementation.
• Software documentation.
• Meeting arrangementg.
• Presentation.
• Report writing.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Relevant research experience is preferred.
• Proficiency in programming in Python and related packages.
• Knowledge in large language models, databases (including SQL), NLP, and machine learning.
• Experience with research works is preferred.
• Good analytical, technical and problem-solving skills.
• Applicants with research publications in AI or NLP area will be advantageous.
• Self-motivated individual who can work independently and also 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

• Collect data through web crawling and/or crowdsourcing.
• Implement baseline methods based on previous research papers.
• Implement new methods to improve the performance of large language models.
• Conduct experiments to empirically evaluate different methods.
• Contribute to the preparation of manuscripts for publication.

• Minimum PhD degree in computer science, Information Technology, Information Systems or closelyrelated disciplines.
• Relevant experiences in video processing, analysis, and research.
• Relevant experiences in developing systems for video computing.
• Excellent knowledge in large-scale video processing and search.
• Excellent knowledge and experience in system development and engineering.
• Good skill in computer programming.
• Good knowledge in dataset curation and preparation of dataset for deep learning.
• Self-motivated individual who can work independently as well as collaboratively in a team to researchand engineer challenging problems.

#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

• Training of neural networks using cooking videos and cooking recipes for cross-modal retrieval.
• Training of neural networks for cross-domain food-to-image retrieval.
• Experiment setup and analysis.

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines.
• Relevant experiences in food computing (e.g., food image recognition, recipe retrieval, cross-domain food image retrieval).
• Excellent knowledge in food computing.
• Good knowledge AI and large language models.
• Good skill in computer programming.
• Good knowledge in dataset curation and preparation of dataset for deep learning.
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems.

#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

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manner as possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development;
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed;
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack", in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

The first set of tasks will involve the following specific assignments:

• Expressing decision logic using DMN/FEEL
• Evaluating the rule engine API
• Encoding existing materials in L4 for open source distribution
• Building interactive UIs using HTML, CSS, JavaScript and Python

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github TechnicalWriting Developer Relations and Evangelism

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto ControlledEnglish ACErules

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Templateetc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML PetriNets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-SetProgramming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

JOB TITLE: Local Brand R&D Lead, ASEA

• REPORTS TO: Science Head AMEA
• BUSINESS AREA: Science Hub AMEA

At Sanofi Consumer Healthcare, we build trusted and loved brands that connect with hundreds of millions of consumers worldwide. Our mission is to enable better self-care for individuals and communities, while also contributing to a healthier planet. We strive to act as a force for good by integrating sustainability along our business and employees’ mission and operate responsibly from both a social and environmental point of view. To achieve this, we need people who can shape the future of our business and help us on our journey to becoming the best fast-moving consumer healthcare company in and for the world.

We are building brands that serve 1bn consumers worldwide, so that they can live healthier lives. In order to do this better than anybody else, we aspire to become the most consumer-centric Fast Moving Consumer Healthcare Business in and for the world. We want to be market shapers and achieve category leadership in the categories that we play in - delivered through strong global-local partnership. We are a people first business, placing consumers at the heart of everything we do through uncovering and activating deep consumer and shopper insights, for example.

As a top 3 global CHC player, we want to raise the bar in terms of our strategic and operational capabilities to enable sustainable, above-market growth. In order to achieve this, we need strong talents that will help us shape the future of CHC while sharing our core values of courage, all in together, outcome obsessed, and radically simple.

We have recently announced to create a fully standalone CHC company Opella. (separating the Business Unit from our Pharma company heritage, processes etc.), as we target to create the best FAST MOVING CONSUMER HEALTHCARE company in and for the world, which will require us to retain, attract and grow the best leaders in our industry.

JOB PURPOSE

• The Research and Development Lead will be accountable for the end-to-end ideation to launch of innovation projects with a focus on the local brands Cenovis, Calcium Corbiere, and Lactacyd in ASEA zone in close collaboration with ASEA Brand & Innovation leads. The incumbent will act as the R&D representative of science team within ASEA and support the strategic of the brand & innovation team & allocate resources in ASEA to prioritized innovation opportunities.

KEY RESULTS/ACCOUNTABILITIES

• Accountable to ideate, develop and deliver R&D pipeline for local brands to meet agreed innovation sales targets in line with brand strat plan.
• Accountable to deliver portfolio for brands balancing short-, medium- & long-term R&D. projects that utilize claims, NPD, clinicals and packaging innovation with sustainability.
• Accountable to ensure delivery of fewer, bigger innovation projects partnering with Brand and Innovation team to strengthen our projects through consumer-based insights.
• Design and Deliver pipeline for local brands based on differentiated science.
• Strong partnership with IPM to ensure execution on time and in budget.
• Strong partnership with science team in ANZ to ensure regulatory and medical strategies and directions be fully aligned and validated.
• Strong partnership with Australia development center to ensure the early engagement and contribution of DC team to the product design and product prototyping, and product development for launch.
• Strong cross functional team work to ensure that innovation pipeline is delivered.
• Accountable to ensure that all base business protection projects for local brands are identified and prioritized based on risk.
• Ensure that a strong external technology network is being used to deliver & accelerate differentiated technology opportunities.

KEY WORKING RELATIONSHIPS

• Science Head for AMEA Region; ASEA Brand and Innovation Heads/Leads; New Product Development (NPD) centers; Portfolio & PM, M&S including EM; Packaging Innovation, Science Hub ASEA, Medical, Regulatory, Quality, legal/IP

SKILLS, EXPERIENCE & KNOWLEDGE REQUIREMENTS

Education

• Degree in Science or Higher degree (Ph.D.) or relevant Academic qualification is desirable.

Required knowledge and/or experience.

• R&D or science innovation experience (at least 10 years) in pharmaceutical, FMCG, consumer healthcare and/or Nutritional industry is required.
• Experience in OTC medicine and health food innovation and new product development (at least 5 years) for the ASEA market is a significant plus.
• Strong science leader who can translate consumer insights into brand led pipelines.
• Experience of R&D with proven track record delivering innovation to brands.
• Experience in risk discussions and risk mitigation plans
• Experience in developing integrated plans & budget for all innovation programs in the region (for all projects in his/her scope)
• Experience in identifying and leveraging external partnerships, suppliers, providers, key opinion leaders, etc., to influence innovation for the ASEA local brands.
• Experience in influencing and advising key stakeholders & the leadership team on industry trends and new opportunities for local brands.
• Experience in E2E innovation, together with Project Managers, from ideation to launch of the innov. pipeline
• Familiar with the scope of innovations: BD opportunities, NPD, claims with significant impact that need clinicals, novel ingredients & formulation technologies, sustainable solutions.
• Knowledge and experience of understanding brand strategy, consumer insights, and translating consumer needs/problems into science solutions to build sustainable pipelines.
• Knowledge of OTC drug, health Food and personal care regulations
• Ability to partner and influence across a matrix environment with strong communication skills

Required Leadership Competencies

• Business Acumen – Ability to effectively use economic, financial, market, stakeholder, and industry-specific indicators to fully understand and improve business results.
• Judgement- The ability to draw logical conclusions based on acquired information and analytical rigor in problem-solving, the ability to make effective decisions even when information is ambiguous or incomplete.
• Interpersonal relationships - treating others with courtesy, sensitivity, and respect.
• Personal Leadership - Personal leadership translates into courage, choice, and commitment through the pursuit of excellence, trust, and accountability. Ability to put patient, stakeholder, and organizational interests above personal interests.
• Drive -Takes the lead and initiates activities with a high degree of passion and commitment as well as the drive, desire and need to achieve challenging goals, to improve performance or to meet personal standards of excellence.
• Learning Agility – Ability to navigate first time/unfamiliar situations effectively by extrapolating from other areas of expertise and knowledge. Ability to continuously improve and develop self
• Culture fit-All in Together, Courageous, Outcome Obsessed, and Radically Simple

KEY DIMENSIONS

As the R&D lead for the ASEA local brands, the incumbent will support the strategic direction of innovation teams by providing strong science solutions with consumer centricity.

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

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manneras possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts andpresentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematicallogic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modelingsoftware, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack",in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally andexternally.

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods. Fluency in multiple natural languages, and any experience with law, are a plus.

This specialist role requires skills in the following areas (one or two in each category is sufficient):

Open-Source Software & Open-Standard Infrastructure Engineering Internet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github Technical Writing Developer Relations and Evangelism

Programming Languages and Frameworks: Preferred: Haskell or OCaml. Python. Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML Petri Nets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Semantic Web and Ontologies: RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg or a commercial rules engine with ontology support

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams Parnas Tables Logics: Hoare

Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, and Epistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI Abductive Logic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded Semantics Good Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Drools Oracle Policy Manager Flora-2 Datalog Answer-Set Programming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Skills listed below this line are preferred but not required:

Theorem Proving and Strongly Typed Languages: CoQ Agda Idris Lean Prover F* Advanced Haskell (Template etc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs, Visual Studio Code, Atom, Sublime Text) Language Server Protocol Rule Systems and Logics

Computational Linguistics Natural Language Generation Computational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Text planning Surface realization Familiarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto Controlled English ACErules

Parsers, Compilers, and Programming Language Theory Lex/YACC alex/happy Bison CFGs EBNF BNFC

Formal Verification and Specification Languages Some familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL CTL

App Development Test-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum Pair Programming Literate Programming Unit Testing Amazon Web Services Docker Full-Stack Development

#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

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manneras possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts andpresentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematicallogic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack",in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods. Fluency in multiple natural languages, and any experience with law, are a plus.

This specialist role requires skills in the following areas (one or two in each category is sufficient):

Open-Source Software & Open-Standard Infrastructure Engineering Internet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github Technical Writing Developer Relations and Evangelism

Programming Languages and Frameworks: Preferred: Haskell or OCaml. Python. Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML Petri Nets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Semantic Web and Ontologies: RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg or a commercial rules engine with ontology support

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams Parnas Tables Logics: Hoare

Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, and Epistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI Abductive Logic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded Semantics Good Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Drools Oracle Policy Manager Flora-2 Datalog Answer-Set Programming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Skills listed below this line are preferred but not required:

Theorem Proving and Strongly Typed Languages: CoQ Agda Idris Lean Prover F* Advanced Haskell (Template etc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs, Visual Studio Code, Atom, Sublime Text) Language Server Protocol Rule Systems and Logics

Computational Linguistics Natural Language Generation Computational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Text planning Surface realization Familiarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto Controlled English ACErules

Parsers, Compilers, and Programming Language Theory Lex/YACC alex/happy Bison CFGs EBNF BNFC

Formal Verification and Specification Languages Some familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL CTL

App Development Test-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum Pair Programming Literate Programming Unit Testing Amazon Web Services Docker Full-Stack Development

#LI-JN2