Role Overview

The Business Development Manager will play a pivotal role in driving the growth of LSI’s co-working laboratory business. This role is perfect for a sales-driven professional with a solid background in life sciences or related industries. The ideal candidate will have a proven track record of exceeding sales targets and building strategic partnerships.

Key Responsibilities

Sales & Business Development

• Develop and execute strategies to attract new member companies, including start-ups, scale-ups, and established businesses.
• Proactively identify and nurture leads, converting them into long-term clients for LSI’s lab spaces and services.
• Build and maintain a robust sales pipeline through direct outreach, networking, and participation in industry events.
• Establish strategic partnerships with universities, research institutions, corporates, and professional service providers to expand LSI’s network and revenue streams.

Client Engagement

• Conduct site tours and consultations for prospective members, showcasing LSI’s facilities and value proposition.
• Act as the primary point of contact for potential and existing clients, ensuring high levels of satisfaction and retention.
• Collaborate with the marketing team to execute campaigns, prepare newsletters, and enhance online and offline visibility.

Market Expansion

• Analyse market trends and competitor activity to identify opportunities for business growth.
• Drive LSI’s expansion into new markets, including collaborations with international partners.

Qualifications & Experience

• Bachelor’s degree in Life Sciences, Business Administration, or a related field; advanced degree preferred.
• Minimum of 5 years of proven sales experience in life sciences, biotech, or related industries.
• Strong network within the life sciences or co-working/laboratory spaces is highly desirable.
• Demonstrated ability to meet or exceed sales targets and KPIs.
• Excellent negotiation, communication, and presentation skills.

Personal Attributes

• Entrepreneurial mindset with a proactive approach to identifying and securing opportunities.
• Strong interpersonal skills with the ability to build and maintain relationships across diverse stakeholders.
• High degree of professionalism, adaptability, and problem-solving skills.
• Passionate about fostering innovation and community within the life sciences sector.

What We Offer

• Competitive salary and performance-based incentives.
• Opportunity to contribute to a leading-edge life sciences ecosystem.
• Collaborative and dynamic work environment.
• Professional growth opportunities within a global network.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Professor%2C-Computer-Science/27368-en_GB/?st=87BC6EC9F5082194874A6D66565C7BBAE2D68F47

Position: Senior Audit Associate

Working Days: 5 days / 5.5 days(Saturday half day during peak period)
Working Hours: 0830am - 1730pm
Salary: Up to $4500
Location: Beach Road

Duties

• Is expected to lead various sizes of audit engagements which include planning, performing, reviewing of audit work performed by less experienced personnel and concluding the engagement.
• Works closely with team members to execute the audit plan and ensures the timely completion of the audit engagement.
• Works closely with clients and manages their expectations to further nurture on-going client relationships.
• Able to identify unethical behavior and react based on the applicable ethical principles.
• Operates in work contexts that are less standardization and unanticipated changes can be frequent due to changes in the external environment.
• Work with any of the assurance teams to obtain an understanding of our client’s business.
• Develop an audit plan/strategy for an audit of financial statements and document the planning procedures.
• Prepare/tailor audit programmes based on areas of audit emphasis determined at the planning stage.
• Perform audit tests of controls and substantive procedures based on planned audit approach to address the various assertions, eg: existence & completeness, rights and obligations, valuation, accuracy, presentation and disclosure.

Requirements

• Bachelor's Degree or equivalent
• 1-2 year of working experience as senior audit associate.

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We seek to appoint a postdoctoral Research Fellow (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of the work to meet deadlines.
• Develop independent research questions, propose new methodologies to improve on existing methods and contribute ideas for collaborative research projects.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Lead small teams of students, software engineers, research assistants and other junior researchers to formulate and address research questions within the purview of the project; and assist the PI in mentoring and supervising them.
• Act as a source of information and advice to other members of the research team.
• Publish and present papers at conferences or public meetings.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• Carry out some related teaching and other works for the College that takes into account their career aspirations and development goals.

Job Requirements:

Essential Criteria

• Close to completion or hold a relevant Ph.D. with post-qualification research experience in statistical machine learning, and deep learning or large language models.
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open-source codebases and LLM APIs.
• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

The Research Assistant will be responsible to, and work closely with, the Principal Investigator, study team members and Family Medicine Development team to ensure the successful timely completion of the research on time. The RA’s principal role will be to work in general practices such as project management, recruitment, data collection, data entry and analysis. The RA may be required to liaise with personnel from partnering institutions in the course of his/her work.

You will be responsible for the followings:

• Assist PI with ethics application and amendments,
• Patient recruitment, informed consent taking and data collection
• Conduct focus group interviews, where required
• Manage research data, data entry, data cleaning and ethics/legal compliance
• Process patient reimbursement, where necessary
• Assist PI in preparation of study related presentations/materials
• Provide administrative and secretarial support to the project, such as organising regular meetings for the research team and collaborators from study sites
• Assist with any other duties of a similar nature that are delegated by the PI
• Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures

Requirements

• Bachelor’s degree in health sciences or nursing, preferably with some experience in healthcare setting
• Possess strong interpersonal skills
• Able to converse in English, Mandarin, Malay or major local dialects
• Proficient in MS Office applications (Word, Excel & Powerpoint)
• A team player with excellent interpersonal and communication skills, with the ability to work compassionately with geriatric participants
• Prior experience working in a research setting or with elderly will be advantageous
• Strong administrative and project management skills
• Willing to travel between study sites

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

We are looking for a qualified individual to be involved in the below project. The candidate will work with a dynamic team to identify and validate candidates that address the body’s adaptive responses to weight loss.

TaRgeted Analysis of Novel Secreted Factors for Obesity Reduction and Metabolic Health (TRANSFORM)

Description:

Multi-omic analysis of secreted factors from various datasets was carried out, including human, mouse and primate plasma and metabolic tissues to identify novel primate-specific secreted factors critically involved in the regulation of physiology balance. Integrative data analysis and in silico rank scoring revealed a list of promising secreted factor candidates. We will be using model organisms (e.g. mice, zebrafish) to conduct phenotypic screens and prioritize candidates for detailed validation, characterization, mode-of-action studies and therapeutic strategies.

Job responsibilities:

● Conduct in vitro wet lab experiments for identified candidates (e.g. cell culture, molecular biology and assays, protein chemistry, pharmacological efficacy etc)

● Conduct in vivo screening experiments for prioritized candidates (e.g. in preclinical models of obesity)

● Conduct end-point and mechanistic experiments (e.g. target tissue and blood collection, sample preparation etc)

● Analyze collected data and maintain accurate monitoring and reporting of experimental set-up, results and research findings

● Interact and collaborate with and assist other researchers and collaborators on related projects

● Communicate regularly with supervisor and join discussions with Principal Investigator and rest of the lab to discuss scientific progress and direction

● Assist in the preparation of grant applications and grant process reports

● Present findings both orally and in written form via presentations and publication in peer-reviewed journal

● Assist in the preparation of figures and manuscripts on the research projects for publication in peer-reviewed journals

● Contribute to other program-related projects and organizations and with the general scientific community across A*STAR

Job Description

A scientist or senior scientist position is available at the Functional Proteomics Laboratory for setting up, developing methods and performing targeted and untargeted metabolomics experiments. You will work on mass spectrometry-based identification of small molecule binders of RNA and small molecule metabolomics projects.

• Develop and run standardized protocols for untargeted metabolomics (or targeted metabolomics panels) for small molecule analysis.
• Design workflows and optimize analytical methods for performing targeted/untargeted metabolomics experiments for different sample mediums (Plasma/Urine/Tissue).
• Work with different collaborators and lead projects for small molecule metabolomics analysis on various sample types.
• Conceptualise, design and develop metabolomics assays for quantification of small molecules.
• Write and present research findings for conferences and publications.
• Contribute to project management, provision of guidance to junior researchers, including research officers.

Job Requirements

• Ph.D. degree in Molecular Biology, Biochemistry, Chemical Biology, Analytical Chemistry or a related discipline.
• Strong expertise in small molecule mass spectrometry metabolomics (preferred untargeted small molecule metabolomics expertise) with good publication record.
• Experience with liquid chromatography and mass spectrometry instrumentation, sample preparation techniques, data acquisition and interpretation.
• At least 2 years working experience in the field of metabolomics will be preferred.
• Proficiency in data processing, data analysis and interpretation will be advantageous.
• Responsible, organized, able to work independently and with a team.
• Good communication skills for scientific presentation and scientific writing.
• Optional: Prior experience with R or other data analysis tools

Purpose of Job

This position is responsible for the tactical planning and lead the development of facilities / asset management strategy in support of the workspace (research and office) needs.

Central to it is to formulate master plan of space needs, infrastructure renewal, build development, market and financial analysis strategies, conceptualize and engage stakeholders and users to co-develop a workplace which is financially and environmentally sustainable.

Oversee all space projects in accordance with the approved scope, quality, budget and schedule, and a seamless transition into daily operations.

Key Accountabilities:

Strategic Planning: Develop long-term space plans and utilization strategies for portfolio of A*STAR’s space, considering factors such as research needs, future growth projections.

Development and Project Management: Lead strategic new construction and remodelling activities in accordance with the A*STAR long-term space plans and ensure excellent financial, quality and schedule outcomes. Responsible includes quality assurance and safety inspections and efficient response to work delays, emergencies and other project disruptions.

Lead the consolidation and harmonization of the different space users’ requirements and conduct technical feasibility analysis for all space projects to facilitate decision-making. Support the overall budget request process and required procurement process. Lead the construction project within the define scope, quality, budget and schedule.

Responsible to consolidate and validate all actual design specifications with the planning team and equipment manuals with the FM team as part handover. Provide support to the FM team at the initial stage of operations and DLP.

Compliance and Regulations: Ensure that all space planning initiatives comply with building codes, regulations, and industry standards across different locations. Conduct detailed assessments of multiple sites owned by A*STAR, understanding the layout, structural nuances, and potential for optimization across various locations.

Stakeholder Management & Implementation: Collaborate with facility team, and stakeholders/ users at each site to understand specific needs, align on objectives, and ensure smooth implementation of space plans.

Enable to lead technical negotiations with landlord representatives for most favourable infrastructure provision that is no lesser than market average.

Space Standardization: Develop and implement standardized space plans or design guidelines across multiple sites to ensure consistency in space norms and functionality while accommodating specific building requirements.

Optimization & Cost Management: Identify opportunities to optimize space, reduce inefficiencies, and improve overall space utilization across multiple properties. Balancing design improvements or renovations with cost-effectiveness, ensuring that space planning initiatives align with the budgetary considerations.

Value-engineering: Identify opportunities to introduce new technologies to increase equipment efficiencies aim to reduce initial investments or maintenance cost. Balancing future design requirements while ensuring that space planning initiatives align with the budgetary considerations.

Performance Evaluation: Track and evaluate the performance of implemented space plans, gathering feedback, and adjust continuously improve space utilization and yet meet research needs.

Job Requirements:

· Possess at least 15 years or more of relevant experience in either construction management and / or asset portfolio management related fields

· Background in Civil or Mechanical Engineering, prefered Registered Professional Engineer and not a prerequisite with at least 7 years of experience in managing Biosafety Level Laboratory (R&D) space planning and development.

· Knowledge of construction methods and technologies and ability to interpret technical drawings and contracts

· Knowledge of local building-code and construction process

· Ability to manage multiple projects simultaneously

· Able to work under pressure and adapt to changes within a fast-paced environment.

· A self-driven and meticulous individual who has the strong ability to multi-task.

• MS or PhD in Electrical Engineering or Solid-State Physics with 15+ years of related and industry experience in SiC devices
• Formulate strategies and developing core technologies for high & ultra-high voltage SiC devices aimed at future power system applications and energy savings.
• Lead research focused on the development of SiC high-voltage Superjunction (SJ) MOSFETs, Ultra-high-voltage IGBTs, and related core technologies
• Utilize advanced technology, process, and device modeling tools Silvaco, Sentaurus, or similar platforms to create state-of-the-art power MOSFET architectures.
• Hands-on experience with ultra-high voltage high power device characterizations analysis.
• Ability to foster revolutionary ideas among team-members to simplify processes and reduce costs for the fabrications of ultra-high power devices
• Proven track record of promoting innovative culture within teams, resulting in a robust patent portfolio in the field of SiC devices.
• Comprehensive knowledge of power conversion circuit topologies.
• Serve as the technical leader in designing best-in-class new power products.
• Capable to conceptualize and establish the groundwork for integrating high-voltage high-power devices into final modular designs to ensure reliability and adherence to safe operating areas.
• Lead collaborations with industry leading partners to enhance the SiC ecosystem in the field of high-voltage devices and power electronics, facilitating the effective utilization of renewable energy & applications in high voltage power electronics.
• Serve as the technical leader in designing best-in-class new power electronics.
• Proactive drive to integrate power module package development and teams.
• Self-starter with a strong ability to seek solutions and work effectively in a team environment.
• Excellent written and verbal communication skills.

Job Summary

We are seeking a highly skilled and innovative MEMS Device Designer/Scientist to join our cutting-edge research and development team @Lab-in-Fab, IME. The successful candidate will design, develop, and optimize MEMS piezoelectric MEMS devices including ultrasound transducers, micro speakers, and sensors and actuators for various applications, e.g. biomedical imaging, air-coupled ranging and sensing, non-destructive testing, and microfluidics. The role involves close collaboration with industry partners, process engineers, and application engineers, to push the boundaries of PiezoMEMS technology. This position requires the ability to bridge R&D innovation with production scalability to create impactful, high-performance products.

Key Responsibilities

• Innovation and leadership
• Develop high quality R&D proposals
• Foster collaboration with industry
• Lead scientific and industry projects
• Supervise junior staffs and students

Device Design:

• Design PMUTs (Piezoelectric Micromachined Ultrasonic Transducers), micro speakers, piezoelectric actuators.
• Perform device modeling and simulation (experience for COMSOL is preferred). Optimize device performance based on application-specific requirements, including resonance frequency, bandwidth, sensitivity, and power consumption.
• Collaborate with ASIC designers for MEMS-CMOS co-development. Integrate MEMS ultrasound devices into systems for applications such as imaging, gesture recognition, ranging, and microfluidics.
• Collaborate with hardware and software teams to ensure seamless device functionality in end-use systems.

Process Platform Development:

• Drive the development of advanced process platform to establish leadership in piezoelectric MEMS technology. Collaborate closely with process teams to innovate and optimize MEMS structures
• Develop and execute testing protocols for MEMS acoustic devices, including acoustic, mechanical, and electrical characterization.
• Analyze experimental data to validate designs and identify areas for improvement.

Research and Innovation:

• Stay up to date with advancements in MEMS technology, ultrasound systems, and piezoelectric materials.
• Contribute to scientific publications, patents, and conference presentations.

Qualifications

Education:

• Ph.D., Master or bachelor degree in electrical engineering, Mechanical Engineering, Materials Science, Applied Physics, or a related field.

Experience:

• Preferred candidates with at least 5 years of experience in MEMS device design and development, as well as a proven track record in product development and commercialization within the MEMS industry.
• Demonstrated expertise in piezoelectric transducer design
• Hands-on experience with MEMS fabrication processes and characterization tools.

Skills:

• Proficiency in simulation tools such as COMSOL Multiphysics, ANSYS, or equivalent.
• Knowledge of MEMS fabrication techniques, including lithography, etching, and thin-film deposition.
• Familiarity with acoustic characterization techniques (e.g., impedance analysis, laser Doppler vibrometry, ultrasound imaging, wafer level measurement).
• Strong programming and data analysis skills (MATLAB, Python, etc.).
• Excellent problem-solving and analytical skills

Key Attributes:

• Strong communication and teamwork skills.
• Ability to manage multiple projects in a dynamic R&D environment.
• Detail-oriented with a commitment to innovation and quality.

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NiTEC or Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

A*STAR Strategic Research and Translational Thrusts (SRTTs) are mission-focused programmes in strategic and emerging areas that are cross-disciplinary and of wider strategic interest to A*STAR and Singapore. Set up to address ambitious technological challenges towards impactful outcomes, each SRTT is led by a Programme Director (PD) and is centrally facilitated and supported by A*STAR HQ.

The Singapore Integrative Biosystems & Engineering Research (SIBER) SRTT harnesses synthetic biology capabilities to aid the sustainable transformation of Singapore Energy & Chemicals sector with the aim to expand to other sectors. It will initially create a synthetic biology platform for sustainable chemicals and fuels, powered by a unique library utilising the biodiversity of Singapore. SIBER's vision is to be a premier hub in industrial biotechnology innovation for the energy / chemicals as well as other sectors, empowering Singapore to seize opportunities in the future bioeconomy.

Job Description:

• Foster and promote R&D collaboration between companies/agencies with researchers'/research units in A*STAR SRTT, to drive impactful outcomes working closely with the SIBER SRTT Programme Director (PD) and the Scientific Programme Manager (SPgM).
• Work closely with the SIBER SRTT PD, SPgM, Principal Investigators and Research Scientists to handle commercial collaboration agreements and ensure compliances are met accordingly to A*STAR practices and policies. Identify market opportunities and prepare market intelligence information to the SIBER SRTT PD, SPgM to facilitate decision-making and occasionally convinces others where strong interests exists to adopt new concepts and approaches.
• Work with I&E IPM to handle filed IPs generated from A*STAR SRTT.
• Work with I&E Industry cluster through grant applications for productization, licensing or formation of new spin off. The person should also be supporting project management of projects establish through the collaborations.
• Compile, update and maintain marketing materials on SIBER SRTT technologies for industry engagements.
• Relevant ad-hoc duties as required by SPgM.

Requirements:

• Master or PhD in Biology, Chemistry, or Engineering Sciences or equivalent.
• 5 years of industry/agency experience, with 3-5 years in a business development and/or technical strategic planning and execution role.
• Candidates with experience and knowledge in advanced scientific concepts and cutting-edge technologies, synthetic biology, molecular biology, chemical engineering, chemistry, bioinformatics or other related fields, will have an advantage.
• Experience in project management in an R&D, Technology and/or Operations environment, interfacing with private and public sector agencies would be a plus.
• Excellent oral and writing skills
• Pro-active, quality conscious, and results oriented.
• A strong collaborative ethos for team-based working.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Prepare and organize laboratory materials, reagents, and samples for experiments.
• Assist in the setup and operation of lab equipment such as precision milling machine, laser cutting machine and 3D printing machine.
• Set up and calibrate laboratory equipment and instruments.
• Conduct routine maintenance and cleaning of laboratory equipment.
• Monitor inventory levels of laboratory supplies and place orders for replenishment when necessary.
• Assist scientists and engineers in research projects and training courses, contributing to experiments and investigations.
• Collect, record, and analyse experimental data using laboratory techniques and instrumentation.
• Prepare and maintain detailed records of experimental procedures, observations, and results.

Qualifications and Skills:

• Certificate or diploma relevant to Computer Numerical Controlled (CNC)
• Previous experience working in a laboratory setting, preferably in a research or academic environment.
• Familiarity with laboratory equipment and instrumentation such as milling machine and microscopes.

We value the following soft skills:

• Strong attention to detail and accuracy in performing laboratory tasks and recording data.
• Strong organizational skills and the ability to multitask effectively in a fast-paced environment.
• Good communication skills and the ability to work collaboratively in a team-oriented setting.
• Knowledge of laboratory safety protocols and procedures.

Job Responsibilities

• Support Project Manager on project documentation, system entries and ensuring compliance to project management process and best practices.
• Lead and maintain project management systems and tools
• Ensure compliance of project information and documentation in grant and project management systems.
• Consolidate and analyze project data and create project dashboards and reports
• Track and monitor project health
• Support other operational activities of the Project Management Office as required
• Responsible for managing the life cycle R&D projects and product delivery by planning, organizing, executing, and evaluating from conception to completion
• Ensure successful delivery of project scope and targets while managing project risk, quality, delivery, scope, schedule, and budget.
• Collaborate and motivate project team members in the design, development, and delivery of R&D solutions to customers.
• Drive design / process validation testing and ensure compliance to project lifecycle governance requirements
• Ability to demonstrate a good level of understanding of technical/engineering processes in managing the project development with the project teams
• Lead, monitor and report the progress of a few projects to all internal and external stakeholders.
• Manage and implement project changes and interventions to achieve project deliverables and mitigate risk.

Job Requirements

• Min. Diploma in Engineering or equivalent qualification
• Have some knowledge in project management
• Proficient in Microsoft Office, especially Microsoft excel and Microsoft Word and PowerPoint for presentation of information in a logical approach
• Ability to thrive within a fast-paced environment
• Able to work independently and as a team

We are seeking a highly skilled and experienced Principal Scientist with a strong background in Computer Science or Mathematics to lead our efforts in the research and development of Privacy Enhancing Technologies (PETs). The ideal candidate will specialize in areas such as Multi-Party Computation (MPC) and Homomorphic Encryption (HE), with a proven track record of high-impact work in these fields. This role involves creating proofs of concept (PoCs) or software at higher Technology Readiness Levels (TRLs), developing new algorithms, and leading R&D teams to push the boundaries of what is possible with PETs.

Key Responsibilities:

• Research and Development: Lead innovative research projects to develop new algorithms that enhance the efficiency, security, and applicability of PETs like MPC and HE.
• Proof of Concept Creation: Design and develop advanced PoCs or TRL software that demonstrate the practical application and effectiveness of newly developed algorithms. This includes application of PETs in various domains like healthcare, finance, manufacturing, transport, etc.
• Team Leadership: Direct and mentor a team of research scientists and engineers, fostering a collaborative environment that encourages innovation and rigorous scientific evaluation.
• Collaboration and Networking: Engage with the broader scientific community to keep abreast of latest developments, share findings, and collaborate on cutting-edge projects.
• Publication and Dissemination: Author influential research papers for top-tier journals and conferences, and present findings at international forums to establish and maintain leadership in the field.
• Strategic Planning: Contribute to the strategic planning of the data security group by aligning R&D activities with long-term organizational goals.

Qualifications:

• Education: PhD in Computer Science, Mathematics, or a closely related field.
• At least 8 years of experience
• Experience: Extensive experience in Privacy Enhancing Technologies, particularly Multi-Party Computation, Homomorphic Encryption, Confidential Computing, or other PETs.
• Leadership: Proven ability to lead and manage R&D teams in a high-tech environment.
• Publications: A strong publication record in peer-reviewed journals and conferences, demonstrating significant contributions to the field of cybersecurity and PETs.
• Skills: Exceptional analytical and problem-solving skills, proficient in algorithm design, and adept at programming in languages suitable for scientific computing and cybersecurity applications.

Desired Attributes:

• Innovative thinker with the ability to challenge conventional approaches and pursue new methodologies.
• Excellent communication skills, capable of conveying complex technical details to diverse audiences.
• Strong organizational skills, with the ability to manage multiple projects simultaneously and meet deadlines.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

At EDDC, Singapore’s national platform for drug discovery and development, we are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology and autoimmune diseases. EDDC is now seeking a highly skilled and motivated Bioinformatics Scientist to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology. By joining EDDC, the candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

Multimodal data analytics for target, biomarker discovery and MoA elucidation

• Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.
• Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.
• Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

Data Integration and automation

• Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.
• Architect and manage databases for cross-functional biological data from public and proprietary sources.
• Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

Collaborative Research and strategic partnerships

• Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.
• Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

Innovation and Continuous Learning

• Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.
• Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Job Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 5 years of postdoc experience or equivalent in industry settings.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities

The lab of RNA in Disease and Translational Technologies at the Institute of Molecular and Cell Biology, A*STAR, Singapore is seeking to recruit a highly motivated Scientist or Senior Scientist to join a team developing a ribozyme-based RNA platform for potential translational and/or clinical applications.

The work will involve both in vitro and in vivo techniques, including molecular biology (RNA design, in vitro transcription, cell-free RNA assays, RT-qPCR, molecular cloning), cell biology (cell culture, cell transfection, flow cytometry, antisense oligonucleotides and RNAi, CRISPR), high-resolution imaging techniques, and experiments in mouse models (e.g. transgenesis, in situ hybridization and immunohistochemistry, imaging and functional analyses)

Requirements

• Minimum Ph.D. in Cell Biology, Molecular Biology, Biochemistry, Genetics, Neuroscience or a related discipline.
• The successful candidate should have strong expertise in RNA biology, cell biology, biochemistry and molecular biology techniques, a strong publication record that includes a first author research paper, and strong scientific writing skills.
• They should be creative, highly motivated, conscientious and be able to work independently, with good organisational, verbal and interpersonal skills. Our lab is collaborative and interdisciplinary, and the successful candidate should be able to work effectively and harmoniously in a diverse team.
• As a Scientist, candidate will also be expected to mentor and train students and Research Officers.

Job Description:

As a Scientist/Senior Scientist within Q.InC, you will join our team to develop cutting-edge quantum packaging technology platforms. These platforms will enable the low-noise, high density integration of qubits and control chips on superconducting interposers. You will work in a dynamic, interdisciplinary environment, collaborating with cross-functional teams to:

• Design and develop 3D superconducting interconnects.
• Explore wafer-to-wafer superconducting hybrid bonding techniques.
• Establish design rules and Process Design Kits (PDKs) for quantum packaging technologies.
• Prepare competitive research grant proposals to advance the state of the art.
• Partner with industry stakeholders to build foundational technologies for next-generation quantum packaging platforms.

Job Responsibilities:

• Develop and optimize process flows based on quantum component requirements, closely monitoring lot movements and ensuring alignment with project milestones.
• Collaborate with equipment and materials suppliers, as well as end-users, to advance quantum packaging technologies.
• Define and implement design rules and PDKs for superconducting qubit components.
• Work with technical and business development teams to initiate industry consortia projects with supply chain partners.
• Collaborate with other programs, A*STAR institutes, and academic institutions to prepare research grant proposals.

Job Requirements:

• PhD in Quantum Computing, Electrical and Computer Engineering, Materials Science, or a related field with understanding of semiconductor material and manufacturing, chip integration or quantum technologies.
• At least 5 years of experience in semiconductor or quantum process development and integration, with a basic understanding of 3D quantum packaging.
• Hands-on experience with process development, integration, and monitoring in semiconductor packaging.
• Familiarity with 3D interconnect technologies, wafer bonding, and other advanced packaging techniques.
• Experience with quantum device fabrication and testing is a plus.
• Knowledge of superconducting materials and processes, such as hybrid bonding and superconducting interposers.
• Proven ability to develop and execute innovative R&D projects, especially in emerging technologies.
• Experience working with cross-functional teams, industry partners, and consortia.
• Excellent written and verbal communication skills for engaging with academic, industrial, and governmental stakeholders.
• Self-motivated, proactive, and capable of effectively collaborating with diverse teams to achieve project goals.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

We are seeking candidates for the position of Research Scientist for the Fermentation Biocatalysis and Downstream Processing team, Department of Biotransformation at the Singapore Institute of Food and Biotechnology Innovation (SIFBI). Our R&D focus is fermentation and enzymatic transformation for the production of future food ingredients such as microbial protein/fat and bioactives (e.g. antioxidants, anti-inflammatory, dietary fiber, etc) as well as personal care products. Development of bioprocess is, therefore, a core activity involving fermentation, enzymes production, biocatalysis and downstream processing via green extraction and purification.

JOB DESCRIPTION

Research Execution:

• Conduct advanced experiments related to fermentation and biocatalysis, focusing on process optimization, yield improvement, or enzyme development.
• Design and execute fermentation experiments, including scaling up processes, troubleshooting, and optimizing conditions.
• Perform biocatalysis reactions and develop novel process to enhance efficiency, product yield and productivity.

Data Analysis and Interpretation:

• Analyze experimental data, interpret results, and make decisions on next steps.
• Maintain detailed records of experimental procedures, observations, and outcomes.

Project Management and Milestone Delivery:

• Oversee and manage assigned research projects, ensuring timely achievement of key milestones.
• Work closely with team members to meet project objectives and deadlines.

Collaboration and Supervision:

• Mentor junior lab members, including students and technicians, in experimental techniques and data analysis.
• Collaborate with cross-functional teams, such as analytical chemistry, strain/enzyme engineering and pilot scale operation to enhance research outcomes.

Publication and IP Generation:

• Prepare high-quality research manuscripts, reviews, and reports for publication in scientific journals.
• Contribute to intellectual property generation by identifying patentable findings and assisting in patent drafting.

Grant and Proposal Writing:

• Assist in writing and submitting grant proposals, serving as a co-investigator or key contributor where needed.
• Support the preparation of progress reports and final reports for funding agencies.

Knowledge Advancement and Innovation:

• Keep updated on current literature, attend relevant conferences, and identify new research directions within fermentation and biocatalysis.
• Innovate by developing new methods or refining existing techniques to improve the lab?s research capabilities.

Safety and Lab Maintenance:

• Follow all safety protocols, ensure proper handling and disposal of chemicals and biological materials.
• Participate in maintaining lab equipment and stock, ensuring a well-organized and safe lab environment.

JOB REQUIREMENT

• PhD in Chemical engineering, Biochemistry, Biological science, Bioengineering or a related field.
• Preferably at least 2 years of hands-on experience in fermentation and/or biocatalysis research.
• Proficiency in experimental design, process optimization, and data analysis.
• Prior experience in a lab setting, with a proven record of project management and milestone achievement.
• Familiar with grant writing and funding application
• Knowledge of safety regulations and experience in lab safety management
• Expertise in microbial fermentation techniques, bioreactor operations, and/or enzymatic process development.
• Proficient in data analysis and laboratory documentation practices.
• Knowledge of intellectual property and patenting process is a plus.
• Publication record in peer-reviewed journals, preferably with demonstrated contributions to fermentation and biocatalysis research.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent written and verbal communication skills for scientific writing, grant writing, and collaboration.
• Ability to work independently as well as part of a team, with a proactive and adaptable approach.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Roles & Responsibilities:

• Oversee and lead the E-test and characterizations team in the comprehensive characterizations and analysis of power devices to validate design and process changes.
• Established capabilities for high voltage (1.2KV to 10KV) and high current (20A to 500A) DC, AC, and SOA reliability characterizations for both wafer-level and package-level devices.
• Develop custom test-bench setups and test-fixtures as required for high voltage power electronic devices.
• Provide technical guidance and mentorships to junior engineers and team members. Develop programs in LabVIEW, Excel, and Python to control various instruments, including wafer probers, double pulse testers, oscilloscopes, and source meters.
• Create programs in Excel and Python to manage extensive databases and automate the plotting of test data with the extraction of corresponding parameters.
• Conduct DC and dynamic characteristic measurements of SiC MOSFETs, diodes, IGBTs, and other power devices.
• Perform MOSCAP measurements at various temperatures for both wafer and package levels.
• Prepare and present technical reports, documentation, and presentations to internal and external stakeholders.
• Review and troubleshoot power application boards and modules.
• Assist with failure analysis to identify the root cause of test reliability issues.
• Manage multiple projects simultaneously while collaborating with various customers.
• Work collaboratively with scientists, engineers, and technicians to enhance measurement and analysis methods.

Job Requirements:

• Ms/PhD Degree in Electrical Engineering or related field
• >12 years industrial/Research experience in power deviced and power module.
• Ability to review and troubleshoot power application boards and modules.
• Demonstrates strong understanding of devices physics and data analysis skills.
• Possesses knowledge of DC and dynamic characteristics of high-voltage devices, including SiC MOSFETs, diodes, and IGBTs.
• Has extensive experience in high-voltage measurements for wafer-level and package devices.
• Demonstrates knowledge and experience in the safe handling of high-voltage devices.
• Possesses knowledge of double pulse testers and the characteristics of SiC MOSFETs, diodes, and IGBTs.
• Has hands-on experience in semiconductor manufacturing and probing, with familiarity in GPIB, RS-232, DAQ, and other interfaces.
• Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences.
• Familiarity with power electronics industry testing standards and best practices
• Work with engineering teams to ensure long-term performance and reliability of SiC devices.
• Self-motivated, energetic, and driven to lead teams to achieve goals.
• Prepare and present technical reports, documentation, and presentations to internal and external stakeholders.

Job responsibilities:

· Develop and innovate critical photonics/flat optics modules. Drive multi-functional teams to optimize existing process flows and develop new innovative integration solutions to meet potential product requirements and manufacturability.

· Develop or redefine critical criteria/aspects for optimal design performances and process capability. Initiate DOE (Design of Experiments) evaluations to characterize process window for new design/product requirements

• Pro-active in evaluating and implementing new integration schemes. Establish proof of concept for future tech roadmap.
• Take on an active attitude to summarize complex problems, explain actions taken to address them with clarity, and align with unit process, design and fabrication teams.
• Extract and analyse inline, GDS layout, parametric, reliability, and other critical metrics to construct predictive modelling on the photonics/flat optics device performance and specification.
• Coordinate activities with multi-functional teams to ensure timely wafers handling to meet deadline requirements.
• Require certain amount of working time in research fab environment for experiment and data collection.
• Act as subject matter expert for both internal and external stakeholders. Potential opportunities to work on customer product delivery.

Job requirements:

• MS or PhD in Electrical Engineering preferably specialized in semiconductor photonics/ electronics physics or engineering. Prior photonics/flat optics technology development are highly preferred.
• Minimum of 3 years of experience in the semiconductor industry/research within the areas of silicon, photonics/flat optics process integration and yield.
• MS/PhD candidates with strong hand-on knowledge of semiconductor unit process, photonics/flat optics device physics engineering will be considered too.
• Working knowledge of photonics simulation, layout design, and DOE design concept are highly desirable.
• Ability to develop a strong understanding on photonics/flat optics device and its related module on current Silicon technologies, related structural and electrical fail mechanisms.
• Passionate about photonics/flat optics technology and innovation. Self-motivated, high-curiosity, good communication and interpersonal skill with proven ability to work in a fast-paced and dynamic environment.

Job responsibilities:

· Develop and innovate critical photonics/flat optics modules. Drive multi-functional teams to optimize existing process flows and develop new innovative integration solutions to meet potential product requirements and manufacturability.

· Develop or redefine critical criteria/aspects for optimal design performances and process capability. Initiate DOE (Design of Experiments) evaluations to characterize process window for new design/product requirements

• Pro-active in evaluating and implementing new integration schemes. Establish proof of concept for future tech roadmap.
• Take on an active attitude to summarize complex problems, explain actions taken to address them with clarity, and align with unit process, design and fabrication teams.
• Extract and analyse inline, GDS layout, parametric, reliability, and other critical metrics to construct predictive modelling on the photonics/flat optics device performance and specification.
• Coordinate activities with multi-functional teams to ensure timely wafers handling to meet deadline requirements.
• Require certain amount of working time in research fab environment for experiment and data collection.
• Act as subject matter expert for both internal and external stakeholders. Potential opportunities to work on customer product delivery.

Job requirements:

• MS or PhD in Electrical Engineering preferably specialized in semiconductor photonics/ electronics physics or engineering. Prior photonics/flat optics technology development are highly preferred.
• Minimum of 3 years of experience in the semiconductor industry/research within the areas of silicon, photonics/flat optics process integration and yield.
• MS/PhD candidates with strong hand-on knowledge of semiconductor unit process, photonics/flat optics device physics engineering will be considered too.
• Working knowledge of photonics simulation, layout design, and DOE design concept are highly desirable.
• Ability to develop a strong understanding on photonics/flat optics device and its related module on current Silicon technologies, related structural and electrical fail mechanisms.
• Passionate about photonics/flat optics technology and innovation. Self-motivated, high-curiosity, good communication and interpersonal skill with proven ability to work in a fast-paced and dynamic environment.

As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmwave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a resourceful and motivated individual to join our dynamic team. As a member of the Operations Support (OS) team, you shall conduct risk management and ensuring compliance to A*STAR policies and procedures. This role includes, but is not limited to the following:

Job Description:

• Understand IME Quality Manual, A*STAR policies and relevant procedures.
• Ability to plan and conduct regular audits and execute any improvement plans to ensure compliance to all A*STAR policies and IME procedures.
• Ability to take actions in dealing with non-compliance situations, creating realistic plans to overcome them.
• Ability to produce audit report and summary on each audit taken, follow up and ensure closure of any findings identified.
• Ability to compile, review and analyse Key Risk Indicators (KRI), as part of regular reporting to A*STAR ERM Office. Based on the KRI compiled, assist in the preparation of Risk Reports.
• Ability to enforce IME governance on areas but not limited to like confidentiality, PDPA and data protection.
• Able to maintain a high level of staff awareness via staff training, sharing session and regular eDMs.
• Ad hoc duties as assigned.

Job Requirements

• Bachelor’s degree in any discipline or minimum 3 years of related work experience.
• Related certifications or good understanding on Policy Compliance, Risk Management or ISO trained will be advantageous.
• Proficient in data analytics/visualization tools like Power BI will be beneficial.
• A resourceful individual with active listening skills to gather information and anticipate next steps.
• A motivated individual with clear communication skills for stakeholder and management reporting.