The Institute of Molecular and Cell Biology (IMCB) is a premier research institute at A*STAR whose mission is to harness biology for transformational bio-therapeutics and diagnostics. In this role, you will be working with the IMCB researchers, grant agencies as well as A*STAR finance, councils, and the central research office to provide relevant grant-related support to the institute.

Job Description: the role includes, but is not limited to, the following:

• Ensure that all grant proposal submissions meet the requirements as set by the respective granting agency.
• Review annual progress reports and final reports for various grants and ensure that these are submitted on time.
• Attend to requests from the granting agencies pertaining to budget scrubbing, letter of award and other steps required for timely activation of new grants.
• Assist investigators with changes related to their grants (deviation/variation requests).
• Work closely with A*STAR research office, councils, and finance regarding ad hoc requests for grant-related data and pending tasks.
• Serve as the institutional admin and help with creation and activation of accounts for grant-related portals such as IGMS and iGrants.
• Tabulate and track the grants of the institute to ensure easy extraction of grant data whenever required.
• Promptly attend to grant-related queries from investigators.
• Define timelines for internal review and approval SOP of grant calls and communicate to researchers for grant applications.
• Monitor, report and analyse grant application activities as well provide timely updates to management on grant status.

Requirements:

• Minimum Bachelor’s degree, preferably in Life Science or equivalent.
• Preferably with at least 3 years of working experience.
• Experience and/or keen interest in work related to governance/ policy/ research administration, especially in the research & development sector, is an advantage.
• Good team player with excellent written and oral communication skills.
• Excellent time management skills.
• Meticulous, resourceful, able to multi-task and work independently.
• Able to work collaboratively with internal and external stakeholders across functional groups and levels.
• Interested in science and technology.
• Proficient in M365 and related applications.
• Prior experience in dashboard reporting and/or project management is a plus.

Job Description

1. Perform research in the following areas:

• Global performance analysis, including analysis of moored floating platforms and bottom-founded structures in wind, waves and current, to derive rigid body responses and/or
• Global structural dynamic analysis to derive structural responses for strength and fatigue assessment

2. Assist in conducting physical model tests, field experiments and numerical simulations to support the development of integrated physical-numerical modelling and simulations.

3. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

4. Any other duties as assigned by supervisor.

Job Requirements

Qualification & Field of Study:

• Bachelor/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Naval Architecture, Applied Mathematics or other related disciplines.

Work Experience:

Preferably relevant research/industry experience with competent knowledge in some of the following areas:

• Offshore engineering, marine engineering, hydrodynamics, naval architecture and ocean engineering.
• Prior knowledge in the following numerical methods/software/programming languages will be an advantage:
• CAD software such as SolidWorks, Rhino, AutoCAD
• Engineering tools such as WAMIT, SESAM, OrcaFlex and OpenFAST
• Finite Element analysis tools such as SESAM, ABAQUS
• Programming codes such as FORTRAN, Python, MATLAB, C++ or equivalent.

Other Requirements:

• Good interpersonal and communications skills.
• Ability to adapt and work effectively as members of a team.
• Strong communication and excellent writing skills
• Resourceful and self-driven with a high degree of professional integrity.

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.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field with at least 5 years of relevant experience

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

Senior Assistant Manager/Manager

Research Transformation Office (RTO)
Deputy Chief Executive (Research & Education) Office

As a Process Analyst, you will work in NUHS Deputy Chief Executive (Research & Education) Office as a Research Transformation Office (RTO) member. You will support the Senior Assistant Director of RTO and collaborate with fellow Functional Division/Department’s Subject Matter Experts to deliver improved business processes and solutions.

Responsibilities

• Working alongside Functional Division/Department’s Subject Matter Experts (SME) to identify areas of inefficiency in the existing processes, and help users define business requirements which may entail process streamlining and/or automation.
• Assist SMEs and guide process mapping for as-is and to-be process modeling.
• Elicit requirements using interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis.
• Critically evaluate information gathered from multiple sources, reconcile conflicts, and decompose high-level information into details.
• Responsible for data integrity, defining data conversion/migration requirements, and verifying the correctness of converted/migrated data.
• Suggest processes for integration with technology and ways to increase productivity.
• Be the liaison between the Functional Division/Department’s Subject Matter Experts, technology, and support teams.
• Stay up-to-date with industry trends, best practices, and emerging technologies relevant to business analysis and process improvement.

Requirements

• Degree in Computer Science, Business Administration, or Management Information Systems.
• Proven experience as a Process Analyst or related role, with at least 5 years of experience in a similar capacity.
• Business acumen and the ability to align project objectives with overall business goals.
• Good knowledge of business analysis methodologies, tools, and best practices.
• Strong analytical, conceptualisation, and problem-solving skills.
• Experienced in creating Process Flowcharts, Swimlane Diagrams, Value Stream Maps, or similar business process mapping diagrams and tools.
• Adept in data analysis concepts and familiar with data visualization tools like Power BI.
• Good analytical and problem-solving skills, with the ability to synthesize complex information and draw meaningful insights.
• Familiarity with data platforms, data analysis, and data visualization tools (e.g., SQL, Tableau, Power BI, etc.), Microsoft 365 apps, especially in Power Automate, Power Automate Desktop, Power Apps, Microsoft Teams, SharePoint, Microsoft Forms, MS Project, MS Visio and knowledge in SAP system.
• Highly collaborative, with a proven ability to work effectively in cross-functional teams, and has the ability to pitch ideas and influence.
• Attention to detail, ensuring data accuracy and reliability in all analyses.
• A driven and motivated personality with an inquisitive mind.

Preferred Skills:

• Business Analysis certification, e.g., Certified Business Analysis Professional (CBAP) or Project Management Professional (PMP), is highly desirable.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Fellow (Postdoc) for “Machine learning for Cognitive AI for biomedical sciences” in the Department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. More information on the department is available at https://medicine.nus.edu.sg/medoph. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The research fellow will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The RA’s principal role will be to work in computational project such as modeling building and algorithm development.

Main Duties and Responsibilities

The research fellow will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Independently conduct machine learning in medicine or fundamental machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a PhD degree in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of machine learning or biomedical informatics;
4. have experiences in the fundamental machine learning or machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

We regret that only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Ophthalmology

Employee Referral Eligible: No

Job requisition ID : 22968

§ Conduct tissue culture experiments including accurate preparation of media reagents and components and maintenance of established commercial cell lines and/or patient cells.

§ Process and dissociate patient samples, both from blood and solid sources, for downstream experiments.

§ Perform drug treatments for cell culture; reconstitution and preparation of drug stocks as well as preparation of drug treatments using an automated liquid handling system.

§ Carry out cell viability assays using a microplate reader.

§ General laboratory tasks, including maintenance of laboratory work area, equipment and updating inventory.

Adhere to laboratory safety, quality controls and ensure compliance with applicable regulations and standards.

§ Preferred bachelor’s degree in biology or related field.

§ Applicants with basic tissue culture techniques. Prior experience processing patient samples is an advantage.

§ Willingness to learn different instruments and programs in the laboratory.

§ Able to work effectively in a team-oriented environment.

§ Able to work in a fast-paced, start-up environment.

§ Applicant must be willing and able to work on a flexible work schedule (Monday-Friday) and some weekends, to meet demands of our clinical laboratory.

Fresh graduates are welcome to apply.

Who are we?

We are the University of Cambridge presence in Singapore called Cambridge CARES, sponsored by the National Research Foundation (NRF) of Singapore as part of its CREATE program CAM.CREATE. The research programme Cambridge Centre for Carbon Reduction in Chemical Technology (C4T) is a collaborative research activity between Cambridge University, Nanyang Technological University (NTU), and National University of Singapore (NUS) within Cambridge CARES.

CARES is a busy research centre responsible for the support of the operational delivery of over 150 researchers and with current managed funds of S$60m (£32.5m). Research income from the Singapore National Research Foundation's CREATE programme, government-industry partnerships and industry, continues to grow. The pursuit of strong international research collaborations in Singapore demonstrates its alignment to the University of Cambridge mission to contribute to society through the pursuit of education, learning and research at the highest international levels of excellence. CARES maintains strong links with the Cambridge Colleges and the University as a whole, creating further opportunities for students and researchers in South East Asia and Cambridge to engage in multi-disciplinary international collaborations. The University of Cambridge had set out to seek out excellence and setting up enduring and mutually beneficial collaborations to establish strategic partnerships across the globe, of which CARES is both an example and has become an inextricable part of the University's make-up. Cambridge researchers are working alongside collaborators in Singapore universities and other research institutions on problems such as research in carbon reduction and the science of learning to underpin preparations for a better future, which is both relevant to Singapore and the world at large.

Who are we looking for?

The Chief of Staff works as part of the CARES leadership team (with the CARES Director) to ensure the smooth running of the University of Cambridge's research centre in Singapore. The post holder has operational responsibility for all day-to- day non-academic activities of the centre, including research grant pre- and post award activities, people management, financial management, and establishing and maintaining partnerships with funders and collaborating institutions. The role holder is expected to fulfil decisions made by the CARES Governing Board, working with the CARES Director, CARES Governing Board and staff members to ensure that the organisational mission is fulfilled operationally and strategically.

The post-holder leads the multi-functional CARES Support Team (currently 12 based in Singapore and UK) supporting the research operations at the centre.

This position could be well suited to University of Cambridge administrators seeking a new challenge with the rare opportunity to work in an international environment abroad to further the University's international research ambitions; in such cases the position is offered as an internal secondment.

Please note that this position is based 100% in Singapore. The CARES Chief of Staff will be seconded full-time to Singapore and will be paid by CARES Ltd in Singapore Dollars. The Singapore salary will be competitive, taking into account local salary benchmarks.

Key responsibilities include:

• Planning and directing all administrative and operational activities on behalf of the CARES Director and CARES Governing Board, including line management of CARES Support Team in Singapore and Cambridge.
• Areas of functional responsibility include finance, procurement, HR, IT and lab technical support, communications and outreach, grants pre- and post-award support (including contracting), statutory compliance and reporting, and stakeholder management.
• Responsible for strategic planning and financial projections, including advising on and pro-actively planning options for full utilisation of major grants and contingency planning.
• Responsible for oversight of CARES’ legal, corporate and contractual compliance and risk management and for ensuring appropriate governance processes are in place to facilitate this.
• Organising and prioritizing critical issues and required information for the CARES Governing Board, CARES Director and leadership to facilitate efficient decision making.
• Assume responsibility for the management of the relationship with various stakeholders.
• Act as a liaison between leadership and other key stakeholders, including managing relationship with significant partners and external parties and ensuring CARES is involved in an appropriate range of discussions in the government, public and private sectors at national (UK and Singapore) and international levels, and take an active role in relevant networks to facilitate.
• Provide oversight and guidance to projects of high importance, including major grant bids, infrastructure and procurement projects, policy development and others.
• Manage research grant pre-award and post-award activities, and planning for major grant bids.
• Oversight of CARES contracting process, including negotiation on behalf of CARES in more complex cases.
• Oversight of CARES’ intellectual property management, with support from the relevant university technology transfer offices.
• Develop and oversee appropriate systems, policies and protocols for operations and administration in CARES.
• Deputise for the CARES Director in relation to the non-academic duties as required, including representing the programme professionally and at a senior level to external parties.

What skills/experience do you have?

Experience:

• Work experience of operations management, including experience of working in a senior level, complex environment.
• Experience of management in an academic or research environment, particularly multi-institutional and grants based.
• Experience of management in a start-up environment. (Desirable)
• Experienced people manager with evidence of managing performance of large teams for high quality results.
• Demonstrable track record of shaping, as relevant, policy, strategy and practices in medium to large organization.
• Evidence of experience in sensitively managing stakeholder relationships.
• Experience of oversight of intellectual property management in a research or academic environment. (Desirable)
• Knowledge of and experience with higher education sector management. Experience of University of Cambridge particularly useful. (Desirable)
• Experience of international or intercultural management and/or working, particularly with South East Asia/UK. (Desirable)

Skills:

• Strong Project Management skills.
• Proven ability to lead and inspire a team and work with vision and foresight to support staff in individual and team growth, and in doing so promoting a productive and supportive culture.
• Ability to provide nuanced, indirect leadership, including upwards and through dotted line structures.
• Excellent organisational and prioritisation skills, and the ability to accomplish varied tasks effectively.
• Strong abilities in strategic thinking and planning; the ability to guide and harmonise several programmes of work, and oversee and coordinate multiple teams and management arrangements.
• Well-developed inter-personal and managerial skills; ability to foster good relationships with people at all levels and to communicate effectively with a wide range of staff, students and external contacts.
• Strong problem-solving skills, with ability to think outside established solutions where these are not appropriate to the context.
• Strong negotiating and moderating skills.
• Numerate, with confidence in manipulation and analysis of financial and other numerical data.
• Ability to work and think strategically and collaboratively across functions and institutions.
• Strong sense of professional integrity and an ability to lead with this at the core.
• Excellent communication skills, capable of being deployed in high-profile, culturally varied situations.
• Fluency in English.
• Ability to intelligently and knowledgeable navigate compliance requirements, including ability to use. policy and governance arrangements as effective tools.
• Highly proactive, persuasive, energetic and enthusiastic.
• Adaptable and able to thrive and lead in a changing environment.

Qualifications:

• Undergraduate degree in a scientific discipline. (Desirable)
• MBA, MPA or similar qualification. (Desirable)
• Some training in understanding and using management accounts. (Desirable)

What can we offer you?

• A stimulating working-environment with friendly, highly motivated colleagues.
• Opportunities to develop and implement new ideas in a creative environment.
• A competitive salary in line with your skills and experience.
• A comprehensive medical insurance cover as part of your employment.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Machine learning for Cognitive AI for biomedical sciences” in the Department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. More information on the department is available at https://medicine.nus.edu.sg/medoph. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The RA’s principal role will be to work in computational project such as modeling building and algorithm development.

Main Duties and Responsibilities

The Research Assistant will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Independently conduct machine learning in medicine or fundamental machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a Bachelor’s or master’s degree in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of machine learning or biomedical informatics;
4. have experiences in the fundamental machine learning or machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Ophthalmology

Employee Referral Eligible: No

Job requisition ID : 22967

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

A Bioinformatician position is available in Dr Jeyasekharan's lab to assist with the analysis of data generated through spatial analytics platforms, along with correlative biostatistics on annotated clinical data.

Dr Jeyasekharan's research aims to understand regulators of immune clearance of cancer cells following genotoxic therapy, with a focus on the use of multiplexed spatial imaging assays to define these phenomena in clinical samples of cancer. You may refer to https://csi.nus.edu.sg/researcher/anand-jeyasekharan/ for more information

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• To process and analyse data generated from spatial analytics platforms e.g. Lunaphore Comet, Akoya PhenoCycler, NanoString Digital Spatial Profiling and STOmics Stereoseq, applied to cancer tissue.
• To perform general bioinformatics-related tasks including: Sourcing, downloading, organizing and analysis of microarray, RNAseq, scRNAseq, and spatial analytics data from publicly available databases.
• To assist the PI and laboratory personnel with biostatistical analyses correlating phenotypes of interest with clinical parameters such as stage, risk categorization, survival
• To harmonize multiple clinical datasets and perform metanalyses

Qualifications

• Master’s Degree in Biomedical Informatics/Bioinformatics/Biostatistics, or related area with relevant research experience and training.
• Must have experience and expertise with processing and analysis of data generated from spatial analytics platforms.
• Proficient in statistical techniques commonly used in biomedical research (including Regression Analysis, Survival Analysis and Multivariate Statistical Analysis)
• Proficient in programming languages for bioinformatics/ statistics (R, Python), and in machine learning approaches
• To be a team player with the ability to work collaboratively with other members of the lab.

Manager, NUHS Research Office

Job Responsibilities:

As the Manager in Data Insights Unit, you will oversee, facilitate, and manage DIU’s projects and programmes, stakeholder engagements, outcomes, performance and ensure close alignment to NUHS’s vision, mission, and priorities.

You will be responsible for the following areas:

1. Develop and oversee with key stakeholders and users’ data use priorities, road maps, plans and projects and ensure its alignment to clinical and business imperatives at the department institutional, regional healthcare system and precinct level

• Work with clinical and business stakeholders and users at all levels to rationalise and agree upon the approach to meaningful data use.
• Facilitate the identification and prioritisation of key areas of clinical, research and operations where data insights and use, will have high impact.
• Co-conceptualise DIU products with stakeholders and derive follow-up plans and proposals for approval through consensus.
• Facilitate review process and, adoption and benefits realisation framework.
• Work with stakeholders and DIU colleagues on strategy and planning activities.
• Ensure alignment to NUHS goals and priorities

2. Project and programme management for DIU work products and ensure sustainability and future proofing

• Oversee DIU projects and programmes to ensure KPIs and outcomes are met.
• Oversee entire lifecycle of all DIU products.
• Organise review, quality checks and post implementation reviews, and facilitate project and programme risk management activities.
• Facilitate and track resource utilisation and planning.
• Oversee resource management and planning

3. Oversee daily operations in DIU and facilitate growth and sustainability planning

• Work with DUI colleagues to develop appropriate work practices and culture.
• Assist in the management of daily operations of DUI.
• Conduct internal improvement activities.
• Work with DUI colleagues in department growth and sustainability planning.

4. Champion DIU innovation, research, and education

• Support DIU mentoring framework.
• Help facilitate the incorporation of a learning and innovation framework within DUI.
• Lead “fun” at work activities and team building

Job Requirements:

• Minimum of 3 years of working as a clinician or management in a healthcare setting that is involved in direct patient care and health technology
• Experience in business and operations would be beneficial
• Exercise strong communication skills, especially in the area of facilitating collaboration between IT and medical/clinical staff
• Management leadership and politically savvy
• Understands deeply healthcare in Singapore and the healthcare reform agenda/s
• Possess excellent interpersonal skills
• Strong skills in informatics and IT
• Strong project and risk management skills
• Able to work under pressure

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• Conduct research in the area of robust optimization.
• Assist in supervising research students.
• Assist in teaching related modules.

Qualifications

• A PhD degree in Optimization, Operations research, Management Science or any other strongly related field.
• Familiarity with optimization under uncertainty paradigms, especially robust optimization.
• Willingness to work both individually and with a team.
• Ability to write mathematical proofs, to design experiments, and to code.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 21667

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Visiting Research Fellow position in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Appointment will be made on a 2 years contract basis.

The Department of Diagnostic Imaging (DDI) is the clinical service department in the National University Hospital (NUH). With the formation of the National University Health System (NUHS), both clinical and academic departments come under a common governing structure. NUHS was incorporated on 23 January 2008 to integrate education, research and clinical care.

Purpose of the post

The PI lab aims to develop in vitro diagnostics, in vivo imaging and nanobiotechnology with emphasis on molecular imaging tools and drug and gene delivery techniques. The Visiting Fellows will be responsible to, and work closely with, the Principal Investigator and the team members to undertake independent and/or collaborative research and to lead on aspects of research strategy within the lab.

Main duties and responsibilities

The Visiting Fellow will be able to:

1. Independently undertake advanced research in the relevant discipline area using, or developing, the appropriate methods and/or techniques;
2. Lead and promote activities designed to develop collaborative research with research colleagues and support staff internally and to actively develop appropriate external contacts and networks relevant future collaboration and funding opportunities; Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Applicants should possess a Ph.D. (preferably in biochemistry, pharmaceutical sciences, life sciences, radiology or biomedical engineering), with previous experience in designing research projects. A detailed knowledge of molecular imaging probes and/or nanomedicine is mandatory. Ability to design and perform scientific work independently and collaboratively is a must, as is the ability to thrive in a fast-paced environment. Experience with chemistry and radiochemistry, cell culture, animal handling, small animal imaging, and translational research is highly preferred but not required. Motivation and drive to work hard and learn new skills are most important.

Remuneration will be commensurate with the candidate’s qualifications and experience.

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Diagnostic Radiology

Employee Referral Eligible: No

Job requisition ID : 22953

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The Technology Pillar of AI Singapore is looking to hire a Research Fellow specialising in Artificial Intelligence to conduct constant high-quality research in target domains with significant outputs. The researcher will undertake in-depth research to design and develop grant challenges that can be implemented to help solve impactful societal problems.

The Research Fellow will work closely with Principal Investigators, Software Engineers and Project Managers to deliver high-impact publications of top-tier international conferences and journals.

Duties & Responsibilities
● Conduct feasibility study on various AI research topics
● Survey the state-of-the-art algorithms and applications for target topics
● Develop problem statement and evaluation metrics for target topics
● Investigate dataset availability and lead dataset generation
● Perform quality benchmarking on datasets
● Publish high-quality research papers on the survey and benchmarking in top-tier international conferences and journals
● Contribute to knowledge exchange and technology transfer activities with partners from both public and private sectors

Qualifications

● A PhD in Computer Science or equivalent, with specialization related to data science and artificial intelligence;
● Computational thinking with proven ability to conduct independent research with a strong and relevant publication record;
● Experienced in working with a diverse range of data types;
● Experienced in using the latest AI, and big data platforms;
● Experienced in working in a team, with people of diverse skillsets; and
● Excellent interpersonal communication and presentation skills in English

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 15523

The role of the Senior Assistant Director, Resource Personnel (RP) is to support the Research Entity (RE)/ Principal Investigators (PIs) in managing the processes related to the management of core and non-core funding including budgeting, proper cost allocation and charging, making quarterly projections, making grant requisitions, liaising with the auditors of the grants, and submitting the requisite reports as required within the terms and conditions of the grants and reporting on the utilisation. In addition, the RP will support general RE administration. The SAD will also supervise 2 staff.

Job description:

• Be a strategic partner and support the key stakeholders on management of budgets and grants to ensure progress and sustainability of the institute
• Manage fund requisitions, audits and reconciliations of expenses
• Provide timely reporting, projections and tracking of budget and expenses
• Conduct statistical analyses of data, trends as well as analyse budget utilization.
• Ensure internal controls and financial procedures are in compliance with A*STAR Financial Policy and Procedures (FPP).
• Prepare annual and ad-hoc budget projections
• Monthly Access Control Review - iGrants.
• Supervise 2 RPs

Job Requirements:

• Educational background in Business Administration/Finance with at least 3 to 5 years of experience in resource or grant management, financial planning and analysis, as well as financial operations and reporting.
• Well versed in SAP GUI, Microsoft Office particularly Microsoft Excel and Powerpoint.
• Able to multi-task and deliver results under tight timelines.
• Strong strategic and analytical thinking skills.
• Resourceful and driven with high energy level.
• Effective communication (written and verbal) and interpersonal skills.
• Able to work independently and in a team to deliver results under tight timelines.
• Willing to take on ad hoc additional duties, if required

Job Summary

Vela Diagnostics is seeking a Full Stack Cloud Developer to develop software development activities for result interpretation and reporting software in accordance with Vela design control and SDLC processes. The individual shall be able to develop existing or future software products offered by Vela Diagnostics.

Duties & Responsibilities

1. Will be responsible for developing and maintaining existing or future software products offered by Vela Diagnostic.

2. Document requirements, design, verification and other key development activities in accordance with Vela quality procedure.

3. Develop high-performing, scaling and innovative end-to-end solutions

4. Collaborate with engineers, bioinformatics and verification engineers to implement solutions that are aligned with and extend shared platforms and solutions

5. Build features such as web services and queries on existing tables

6. Understand performance parameters and assess application performance

7. Work on core data structures and algorithms and implement them using language of choice

8. Support Regulatory Assurance department in product regulatory filing process as needed.

9. Work with regional support teams to attend to and resolve customer issues.

Job Requirements & Attributes

1. Diploma/Bachelor in IT related tertiary qualification and at least 2 years of experience in Industry setting

2. Minimum of 4 years of software development experience in web and cloud application.

3. Extensive programming experience in Python, Django, and C# or NodeJS

4. Proficient in cloud computing, preferably experiences in AWS

5. Solid experience in the Linux full stack development, databases

6. Strong experience with modern web frameworks and/or libraries such as React, Angular, etc.

7. Knowledge of common design patterns in software development (MVC, MVVM, etc.)

8. Proficient understanding of code versioning tools such as Git and BitBucket

9. Understanding of fundamental design principles for building a scalable application

10. Willingness to learn new technologies and implement in short time

11. Comfortable working in a multi-discipline, geographically dispersed team

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated and skilled IFP Fellow in our Antibody Design group at EDDC. This is an eighteen-month on-the-job training programme that involves participation in and supporting inter-disciplinary and collaborative drug discovery projects. The successful candidate will be responsible to help enhance our antibody platform technologies. The position will provide an exciting opportunity to thrive at the intersection of technology and biology.

Responsibilities:

• Independently design and engineer innovative antibodies for therapeutic and technology-development applications
• Perform biochemical, biophysical, and functional characterization of antibodies with different modalities and specificity
• Collaborate with scientists from various therapeutic areas to ensure timely progress in research projects
• Analyze and present data in a clear and concise manner, demonstrating a good understanding of its implications in the context of drug discovery

Requirements:

• Degree or postgraduate degree in biology, biochemistry, chemistry or related disciplines with at least 8 to 10 years of relevant experience
• Hands-on experience in molecular biology including design, expression, purification, biochemical/biophysical characterization of proteins
• Desirable experience in employing in silico approaches for antibody engineering
• Experience in flow cytometry-based and immune cell function assays
• Understanding of protein and/or antibody structure-function relationships
• Strong analytical and problem-solving skills
• Ability to multitask and prioritize tasks, deliver results within timelines
• Good written and oral communication skills, with meticulous record-keeping
• Able to work collaboratively in a team environment
• Experience in antibody technology and immunology-related research is a plus

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

We are seeking to recruit a highly motivated Research Officer to support ongoing research into cancer antigen processing and presentation. Project involves supporting the team on biochemistry and immunology experiments, as well as simple bioinformatics.

JOB REQUIREMENT

• Bachelor’s degree or Diploma in biomedical science or immunology.
• Laboratory skills in basic biochemistry and cell biology.
• Curious, keen to learn and not afraid to ask.
• Meticulous and responsible attitude.
• Able to function independently on tasks once trained on the job.
• Aspire to further upgrade.

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

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated and skilled IFP Fellow in our Antibody Design group at EDDC. This is an eighteen-month on-the-job training programme that involves participation in and supporting inter-disciplinary and collaborative drug discovery projects. The successful candidate will be responsible to help enhance our antibody platform technologies. The position will provide an exciting opportunity to thrive at the intersection of technology and biology.

Responsibilities:

• Independently design and engineer innovative antibodies for therapeutic and technology-development applications
• Perform biochemical, biophysical, and functional characterization of antibodies with different modalities and specificity
• Collaborate with scientists from various therapeutic areas to ensure timely progress in research projects
• Analyze and present data in a clear and concise manner, demonstrating a good understanding of its implications in the context of drug discovery

Requirements:

• Degree or postgraduate degree in biology, biochemistry, chemistry or related disciplines with at least 5 years of relevant experience
• Hands-on experience in molecular biology including design, expression, purification, biochemical/biophysical characterization of proteins
• Desirable experience in employing in silico approaches for antibody engineering
• Experience in flow cytometry-based and immune cell function assays
• Understanding of protein and/or antibody structure-function relationships
• Strong analytical and problem-solving skills
• Ability to multitask and prioritize tasks, deliver results within timelines
• Good written and oral communication skills, with meticulous record-keeping
• Able to work collaboratively in a team environment
• Experience in antibody technology and immunology-related research is a plus

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.