Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

Primary Responsibility

•Defining requirements for exercise and health-tech projects.

•Assist in Project Management.

•Developing exercises for the elderly consumers.

•Developing health-tech product for elderly consumers.

•Perform data analytics for efficacy of intervention methods.

Secondary Responsibility

•Assist in designing and collaboration with sports science researchers.

•Assist in designing and collaboration with health-tech researchers.

Requirement

•Sports Science degree of diploma.

•Familiar with running projects and exercise programs. Preferably for elderly subjects.

•Must have interest in a total system development.

•Problem solving skillset is a must.

Benefits

•Work in a dynamic pace and product rich environment.

•Able to work with and experience best-of-breed software design and implement experts.

•Abundance of deep-tech learning experience.

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

Job Purpose
The mission of the Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ 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. 3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:

• Carry out assigned experiments under initial guidance and then independently
• Organize, preserve, and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyse data and design subsequent experimental workflow
• Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:

• Assist with lab housekeeping and administrative duties as needed
• Ensure that standard operating procedures and safety regulations are followed

Qualifications

• Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
• Interest in pursuing a research career in studying RNA biology in cancer
• To be a team player with the ability to work collaboratively with other members of the lab.
• Experience in running projects independently is preferred.
• Experience in laboratory management is preferred but not essential.
• Ability to communicate fluently in written and spoken English
• Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
• Proficiency/ expertise in data analysis (R or equivalent)

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 incumbent will provide administrative support to the Undergraduate Studies Section, Dean's Office, Faculty of Science. Duties and responsibilities include, but are not limited to the following -

1) Faculty Co-ordinator for timetabling

• Keep abreast of Science Faculty Curriculum Committee (SFCC)/Board of Undergraduate Studies (BUS)/University Committee on Educational Policy (UCEP)/Senate approved proposals to facilitate planning and scheduling of classes and examinations.
• Coordinate with departments for planning of following academic year's timetable in the Class and Examination Timetabling System (CMIS).
• Update class and examinations timetable changes as and when required.
• Work with departments to verify accuracy of data and resolve any issues for the purpose of Student Feedback Exercise.

2) Pre-examination preparation and during examination support

• Plan and coordinate examination activities for each Academic Year according to the timelines and deadlines stipulated by Registrar's Office.
• Coordinate system updates for examinations related information and ensure data is appropriately entered.
• Act as liaison between Registrar's Office and departments to ensure that all necessary information are disseminated and shared with all parties involved.
• See to the examinations logistical requirements as well as arrangements for students with special needs.

3) Post-examination activities

• Coordinate and work closely with departments to complete the necessary checks and comply with the examinations processing schedule stipulated by Registrar's Office.
• Perform the duties of Faculty's Board of Examiners Secretariat and ensure that decisions made are updated accurately and quickly in Edurec and followed through.
• Plan, conduct and prepare report for examinations audit.

4) Undergraduate Studies Section duties

• To be rostered for section duties such as taking notes of regular section meetings, replying to email enquiries from students, and counter duties.

5) Others

• Provide assistance at University/Faculty level events such as Open House, Freshmen Orientation Briefing, and Commencement.
• Any other duties as assigned by the Vice Dean.

Qualifications/Requirements/Other Info

• Degree holder with positive learning attitude.
• Experience in timetabling and scheduling will be advantageous.
• Proficient in Microsoft applications.
• Ability to work under pressure and multi-task in a fast-paced environment with multiple timelines and demands.
• Ability to exercise tact and discretion in handling sensitive and confidential information.
• Possess effective oral and written communication skills.
• Mature, independent, adaptive and meticulous.
• A team player with the ability to interact well with all levels of stakeholders.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

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 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

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 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

Key Responsibilities:

1. Preparation and Setup:Prepare and organize laboratory materials, equipment, and samples.
   Set up laboratory apparatus for experiments and tests.
   Ensure all required chemicals, tools, and equipment are ready and functioning.
   
2. Assisting in Experiments:Assist in practical lessons in carrying out experiments and tests.
   Take measurements and record data accurately during research projects.
   Operate laboratory equipment under supervision, following safety protocols.
   
3. Sample Management:Collect, label, and store samples according to standard procedures.
   Ensure that samples are correctly handled and maintained for future analysis.
   
4. Equipment Maintenance:Clean, maintain, and troubleshoot laboratory equipment.
   Ensure that all instruments are calibrated and in good working condition.
   Assist in the setup and disassembly of experiments and equipment.
   
5. Data Management:Record, compile, and process data accurately.
   Prepare reports or assist in preparing research summaries for review.
   Enter experimental data into databases or spreadsheets.
   
6. Safety and Compliance:Follow laboratory safety protocols and adhere to safety standards to ensure a safe working environment.
   Handle hazardous materials and chemicals safely, with proper disposal practices.
   Assist in the maintenance of lab documentation and compliance with regulations.
   
7. Inventory and Supply Management:Monitor inventory levels of laboratory supplies, chemicals, and equipment.
   Order new supplies when needed and manage stock to avoid shortages.
   

Skills and Qualifications:

• Educational Requirements: Minimum high school graduate in science stream. or equivalent is typically required; however, a postsecondary degree or certification in a scientific field (e.g., biology, chemistry, or laboratory technology) may be preferred. Retired personnal are welcome too.
• Technical Skills: Familiarity with laboratory instruments and techniques is important. Basic computer skills for data entry and analysis are also necessary.
• Attention to Detail: Accurate data recording and adherence to protocols are essential.
• Communication: Ability to communicate in English.

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Bachelor Degree in Engineering or relevant field
• Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing
• Demonstrating as a fast learner of conducting literature study and literature summary
• Experiences of handling big data via R, Python, Matlab, etc.
• Experience with UNIX-based operating systems and bash script or similar
• Strong interests in applying machine learning models and applications to atmospheric research
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

We are looking for an experienced and proactive Genomics and Data Analytics Core (GeDaC) Facility Manager to lead and expand our team at Cancer Science Institute of Singapore. The ideal candidate will bring together a scientific background, business development expertise, and operational leadership skills to drive growth, build partnerships, and ensure the financial sustainability of GeDaC. This position will be key to advancing our facility’s presence in the genomics and data analytics fields, particularly in supporting cancer research initiatives. This is a unique opportunity to shape the future of bioinformatics research through a cutting-edge core facility. If you are a passionate and motivated individual with a strong business acumen, we encourage you to apply.

Strategic Leadership and Operational Oversight:

• Lead the day-to-day operations of the GeDaC facility, ensuring high-quality service delivery and operational efficiency.
• Develop and implement strategic initiatives to enhance GeDaC's impact within the Cancer Science Institute and across Singapore’s research community.
• Identify and address operational bottlenecks and areas for improvement, optimizing workflow to increase productivity and client satisfaction.

Marketing and Business Development:

• Create and execute a comprehensive marketing plan to promote GeDaC’s genomics and data analytics services, targeting both academic and industry partners.
• Establish and maintain relationships with key stakeholders, including principal investigators, research labs, healthcare professionals, and corporate partners.
• Conduct market research to stay abreast of advancements and emerging trends in genomics and bioinformatics, using insights to inform service offerings and identify new revenue opportunities.
• Represent GeDaC at conferences, workshops, and networking events, showcasing the facility’s capabilities and building a strong client network.

Financial Management and Revenue Growth:

• Develop and manage the facility’s budget, monitoring revenue and expenditure to ensure financial sustainability.
• Lead contract negotiations with clients and vendors, setting pricing structures that reflect market value and service costs.
• Track service utilization and generate periodic performance reports, using data to drive business strategies and make informed decisions about resource allocation.
• Oversee billing, invoicing, and collection processes, ensuring timely and accurate payments.

Product Development and Client Relations:

• Collaborate with scientific and technical teams to develop new services and products that meet the evolving needs of the genomics and data analytics research community.
• Engage with clients to understand their research objectives, providing tailored solutions and ensuring high levels of satisfaction.
• Act as the primary point of contact for client inquiries, addressing concerns promptly and fostering long-term partnerships.

Qualifications

• At least Master's Degree in Genomics, Bioinformatics, Data Science, or a related field, with a strong foundation in cancer genomics or biomedical research.
• Proven experience in business development, marketing, or management roles within a scientific or technical services environment, preferably in core facilities or research institutes.
• Demonstrated ability to create and execute business strategies that drive growth and financial sustainability.
• Strong leadership skills with a proactive and collaborative management style.
• Deep understanding of genomics, bioinformatics, and data analytics, with the ability to translate scientific capabilities into client-focused solutions.
• Proficiency in budgeting, forecasting, and revenue tracking, with a track record of managing financial performance.
• Excellent written and verbal communication skills for engaging diverse audiences, including researchers, clinicians, and corporate clients.
• Forward-thinking with the ability to foresee industry shifts and adjust strategies accordingly.
• Committed to providing exceptional service and fostering long-term client relationships.
• Ability to manage multiple tasks effectively while maintaining a high level of attention to detail.

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 Lab Technician position is available in Professor Chng Wee Joo’s research group at the Cancer Science Institute of Singapore. This role will involve processing various types of patient samples, managing the sample inventory, and supporting animal work experiments. The successful candidate will play an essential role in the lab’s ongoing research in haematological malignancies, focusing on understanding the pathogenesis of cancers like multiple myeloma, acute myeloid leukemia, and NK/T-cell lymphoma.

Key Responsibilities:

• Sample Processing:Process a range of patient samples, including bone marrow, peripheral blood, and buccal swabs, with accuracy and adherence to standard operating procedures.
  Prepare samples for downstream analyses such as genomics and proteomics studies to aid research into cancer biomarkers and therapeutic targets.
  
• Inventory Management:Organize and maintain a detailed inventory of patient samples, ensuring proper labeling, storage, and tracking.
  Document and record all sample processing details accurately to contribute to research data integrity.
  
• Animal Work Support:Assist in handling laboratory mice, including breeding, monitoring, and performing procedures such as blood collection and organ harvesting.
  Support researchers in setting up animal experiments that model cancer progression and response to treatments.
  
• Lab Maintenance:Maintain a clean, safe, and organized laboratory environment, following all safety protocols and biosafety guidelines.
  Ensure proper maintenance and calibration of lab equipment to support sample processing and animal work.
  
• Team Collaboration:Work closely with researchers and other lab members, communicating effectively to ensure efficient sample flow and workflow.
  Contribute to team discussions by providing feedback on sample processing methods and laboratory procedures.

Qualifications

• Minimum Diploma in Life Sciences, Biomedical Sciences, or a related field.
• Previous experience in a laboratory setting is preferred, especially with sample processing and/or animal handling.
• Familiarity with laboratory procedures, including sample processing and inventory management.
• Knowledge of laboratory safety protocols and biosafety practices.
• Strong attention to detail and organizational skills to handle high volumes of samples accurately.
• Effective communication skills and a collaborative team approach.

Desirable Attributes:

• Experience working with cancer research samples or models.
• Interest in cancer biology and translational research.
• Ability to adapt in a dynamic research environment and support multiple projects.

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

• To perform safety-related work such as

(a) Conduct safety training / briefing for personnel who needs to work in the cleanroom;

(b) Carry out periodic emergency response drill to familiarize personnel with standard evacuation and response procedure;

(c) Carry out periodic inspection of safety facility such as eyewash & shower, chemical spill absorbent, fire extinguisher, etc.

(d) To monitor users’ activities on CCTV for any irregularities.

• To respond to an emergency call during and after office hour. The emergencies can be a building fire alarm, a fab evacuation alarm which can be a hazardous material spill or a leak or a medical emergency situation.
• To assess the situation and discuss a coordinated response plan with both Safety Manager and Lab Manager based on Emergency Response Plan (ERP)
• To be on standby / on-site for ad-hoc / extended hours lab operations request;
• To learn and have some understand of the chemistry for each individual tools and new projects to ensure Industrial Hygiene for the lab and users are met.
• To follow up, understand changes and make assessment on the safety aspect for tool continuous improvement process (CIP)
• To liaise with supplier for maintenance / procurement of ERT equipment / supplies;
• To perform risk assessments for the research activities related to E5 Cleanroom process and equipment.
• Support the development and implementation of Safety & Health Management System for AMAT-NUS Corp Lab conducting materials research.
• To support on Safety audits
• Any other duties as assigned.

Qualifications

• Diploma/ Degree knowledge and demonstrated experience in the laboratory safety management.
• Awareness of local safety regulations and some experience in developing and implementing Workplace Safety & Health Management System and Programmes.
• Understanding of the scientific and safety-related issues of materials research protocols and ability to review the risk assessments of such protocols.
• Knowledge and understanding of material safety principles, policies, and procedures.
• Effective communication (verbal and technical writing) skills, excellent customer service skills with attention to detail.
• Well verse with Microsoft office and good documentation control. IT application knowledge will be an advantage.

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

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 Summary

The Haematological Malignancy Genomics Laboratory, led by Professor Chng Wee Joo, focuses on using advanced genomics and proteomics methods to study the clinical and biological complexities of haematological malignancies such as multiple myeloma (MM), acute myeloid leukemia (AML), and NK/T-cell lymphoma (NKTL). This translational research program aims to discover diagnostic markers, identify novel therapeutic targets, and uncover molecular mechanisms of disease, advancing our understanding of cancer pathogenesis and potential treatments.

We are seeking a Research Assistant to support ongoing research in murine models. This role involves assisting in studies on mouse models to validate discoveries in haematological malignancies, with a focus on preclinical validation of novel therapeutic targets, therapeutic resistance mechanisms, and biomarker identification. This is a hands-on laboratory position requiring proficiency in animal handling, genotyping, and familiarity with experimental protocols involving mouse models.

Job Description

• Animal Model Handling:
  Conduct routine handling and care of laboratory mice, ensuring adherence to ethical and welfare standards.
  Support experimental setups in mouse models to study disease pathogenesis, progression, and therapeutic responses in haematologic malignancies.
  Perform injections, tissue sampling, and necropsies as required for experiments.
• Data Collection and Analysis:
  Assist in collecting and processing biological samples (e.g., blood, tissue) from mouse models for downstream molecular analyses.
  Maintain accurate records of experiments, data collection, and sample inventory in a clinical database for integrated bioinformatics analysis.
• Genomic and Proteomic Support:
  Assist in sample preparation for genomics and proteomics studies, including DNA/RNA extraction and preparation for sequencing and protein assays.
  Support preclinical validation of molecular markers and therapeutic targets identified from genomic studies.
• Laboratory Support and Maintenance:
  Ensure lab equipment related to mouse work is well-maintained and calibrated.
  Follow all safety protocols and maintain a clean, organized work environment.
  Assist in the maintenance of a comprehensive tissue bank, ensuring high-quality source material is available for research.
• Collaboration and Reporting:
  Collaborate closely with senior researchers, assisting in the analysis of data from mouse models.
  Report findings and observations to the research team and contribute to discussions on the impact of preclinical findings on clinical applications.

Requirements

• Bachelor’s degree in Biomedical Sciences, Molecular Biology, or a related field.
• Prior experience in laboratory animal handling, preferably with mouse models.
• Experience in haematological research or genomics/proteomics is an advantage.
• Knowledge of standard laboratory procedures for working with mouse models.
• Strong organizational skills, attention to detail, and ability to maintain accurate data records.
• Familiarity with molecular biology techniques such as DNA/RNA extraction, PCR, and Western blotting.
• Effective communication skills and ability to work collaboratively within a research team.

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will conduct research and technology scan on current and future trends in coastal protection and flood management solutions, including increasing use of AI in computational fluid dynamics, extreme event prediction and condition monitoring. He/she will also conduct research in some of the abovementioned topics and write research proposals to secure grants for CFI.

Job Requirements

• Possess a recognised PhD degree in civil engineering, mechanical engineering, computer science, or a related discipline
• R&D experience in coastal/offshore/structural engineering and/or AI and machine learning.
• Strong writing and communication skills.
• Ability to work independently and in a team .
• Open to fixed-term contract.

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 successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

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.

We regret that only shortlisted candidates will be notified.

The APAC Biological Product Science & Technology (BPS&T) Strategy Leader provides a critical link between the Regional Commercial Units (RCUs) and the Crop Health, Product Science & Technology (CH PS&T) R&D global function. With the direction of the PS&T R&D LT, the APAC BPS&T Strategy Leader coordinates the design and execution of Product Science & Technology R&D activities aligned with research projects spanning discovery through post-launch stages.

The incumbent will define and conduct research across multiple project areas using in-depth knowledge and proactive application of scientific principles, theory and experimental design. In addition, the incumbent will perform research across multiple disciplines while developing and implementing technical solutions through hands-on experimentation.

Core Responsibilities:

· Understands RCU strategies to ensure that CH PS&T is aligned and resourced to deliver. Communication channel from the RCU back to the CH PS&T function to strengthen the functions’ ability to contribute. Effectively works with leaders in both organizations to resolve conflicts.

· Assesses and interprets RCU goals and initiatives into functional strategies and competencies for the broader CH PS&T function and deliver the results required.

· Develops robust communication strategies and implements a range of effective communication methods that inform and influence; effectively utilizes organizational networking to influence decision making.

· Facilitates the evaluation of new product technologies to meet RCU business needs and interfaces with the CH PS&T Global Formulation Portfolio Leaders to communicate these opportunities. Responsible for the effective communication of specific RCU needs to the CP PS&T Global Formulation Portfolio Leaders to ensure needs are incorporated into product development.

· Develop expertise within the APAC PS&T RL team for biologicals product & Integrated solution development.

· Implement capabilities at Singapore Lab to support these RD projects.

· Leads multi-disciplinary teams of scientists to deliver key technical milestones of large projects.

· Participates in the innovation process as it applies to specific projects and contributes to the innovation process through new opportunity identification. Collaborates with other functions in PS&T R&D and across R&D to explore, test and reduce to practice novel delivery concepts.

· Develops value-creating solutions for our customers and stakeholders (manufacturing, regulatory, biology, commercial) in response to presented problems with broad scope and impact.

· Supports and participates in PS&T peer reviews and other inclusive processes to ensure diversity of thoughts and robust participation of functional partners benefits the projects and RCU.

· Coaches others in identifying opportunities and how to understand and articulate value of Corteva Agriscience technologies in different concepts. Coaches and mentors junior level researchers and technologists in the areas of technical and career development.

· Develops strategies for using external contact network; demonstrates influence to external organizations that impact and contribute to business success.

· Partners with regulatory functions to identify and address regulatory constraints and requirements and communicates proactively with PS&T project leaders to ensure these constraints / requirements are incorporated into product design.

· Drives the definition of the molecule support requirements for the RCU, anticipates product support needs and implements steps to use product support to differentiate Corteva Agriscience from the competition. Works closely with the PS&T Product Technology Expertise Center Leader to ensure molecule support needs are adequately resourced.

· Monitors the competition and market trends in the RCU and communicates the information to PS&T project leaders and CH PS&T Global Formulation Portfolio Leaders.

· Maintains university / 3rd party research organizations contacts to keep technologies at state-of-the-art level and bring suitable technologies in house.

· Participates in organizing and chairing industry conferences and committees and influences key outcomes from those organizations.

Qualifications:

Educational Requirements:

· Ph.D. in chemistry, chemical engineering, material science or related field

· Fluency in English is a must for this position. Additional language skills (e.g. Chinese or Japanese) would be an advantage.

Technical / Functional Knowledge:

· Minimum of 10 years expertise in crop protection or biological formulation design and development.

· A solid track record of documentation. Ability to work independently and drive projects to completion. Demonstrated significant involvement in designing studies, carrying out experiments, interpreting data, etc. to meet project milestones.

Organizational Knowledge:

· The incumbent needs to be familiar with the R&D organization and the roles performed by each R&D function. The incumbent needs to be familiar with the Operations organization and Commercial organization for Agriscience.

Innovation:

· An ability to think ‘out of the box’ to develop novel, creative solutions for product and regulatory challenges and to inspire innovation in others is critical, as innovation will be the key to future breakthrough improvements in product development.

Interpersonal Effectiveness:

· Strong interpersonal and leadership skills. Build extensive network outside the CH PS&T R&D function. Excellent verbal and written communication skills. Ability to delivers presentations that distill complex ideas and proactively communicates results and progress to technical teams, supervision, management, and business leadership.

Leadership:

· Ability to successfully partner with team members and stakeholders from multiple backgrounds and cultures.

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 Summary

The Laboratory Executive will serve as a central contact for Safety and Operations matter within National Initiative on RNA Biology & Its Applications (NIRBA) labs. This role will be responsible for maintaining lab facilities, ensuring the safety and compliance of lab activities, managing critical equipment, and supporting the needs of research teams. This position plays a pivotal role in ensuring both the operational efficiency and safety of NIRBA’s research environment. We are seeking a dedicated individual who can manage complex lab systems while fostering a culture of safety and compliance.

Operations Support

• Oversee designated NIRBA lab operations and facilities, ensuring smooth, uninterrupted operations.
• Serve as the primary contact for all equipment and facility issues; coordinate prompt repairs and maintenance.
• Manage cryostorage facilities, including tanks and freezers, schedule regular freezer defrosting, and maintain Temperature Monitoring System (TMS) contacts.
• Conduct regular upkeep and allocation of lab assets, ensuring facility integrity and functionality.
• Plan, assign, and oversee roster duties for lab personnel, and provide support for procurement activities as needed.

Safety Management

• Act as the Safety and Health Coordinator for designated labs, ensuring compliance with all NUS and legal safety regulations.
• Regularly update and maintain safety documents; monitor and assist with license applications, renewals, and terminations.
• Organize safety committee meetings, safety management reviews, and internal audits to prepare for external inspections.
• Conduct safety training sessions, coordinate safety drills, and promote a culture of safety within the lab community.
• Assist in investigating and documenting safety incidents, implementing corrective actions to prevent future occurrences.

Administrative Support

• Manage the PPMS software system for NIRBA, CSI, and N2CR core facilities, including invoicing and record-keeping.
• Perform additional tasks as assigned by management to support the lab’s operational and safety objectives.

Qualifications

• Bachelor’s degree in Life Sciences, Engineering, or a related field; relevant certifications in lab safety or operations are a plus.
• Proven experience in lab operations, safety oversight, or facilities management, ideally within a research or academic environment.
• Strong organizational skills, with a proactive approach to problem-solving and the ability to handle emergency situations calmly.
• Excellent communication skills to coordinate effectively with researchers, vendors, and external inspectors.

Job description

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Additional job description

The APAC Platforms and Growth team is on a mission to connect users to the magic of YouTube, full-funnel lifecycle programs across owned and operating marketing inventory to drive awareness, acquisition, retention, and engagement channels of core product offerings. The role of the Platforms function is to build the channels, tools and operations, working with the Growth team who drive deep end-to-end acquisition and retention for our most strategically important product areas.

Qualifications

Job responsibilities

• Design and develop regional performance scorecards and reports to monitor key on-platform metrics and trends across priorities business areas.
• Analyze user behavior on our platform by conducting in-depth analysis of user interactions across key areas of the business to identify opportunities for improvement.
• Collaborate in quarterly planning and forecasting, providing data-driven recommendations to prioritize campaigns and optimize finite inventory and impression caps.
• Monitor and analyze campaign performance across initiative teams; providing actionable recommendations to stakeholders to optimize inventory.
• Design and implement new dashboards and BI tooling, empowering marketers to self-serve various cuts of data for informed decision-making. Collaborate with stakeholders to understand data requirements and provide ongoing support and training.

Minimum qualifications

• Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Bioinformatics, Economics, etc.) or equivalent practical experience.
• Experience designing, scoping, executing, and delivering research and analysis projects.
• Experience managing research and measurement agencies.
• Experience translating research findings and insights into marketing recommendations.
• Experience with SQL techniques or exposure to data modeling or machine learning concepts, scripting, or data dashboard.

Preferred qualifications

• Experience with qualitative research methods and approaches, designing experiments, analyzing data from experiments and summarizing findings.
• Passion for the web video/YouTube ecosystem and digital culture or experience in eCommerce or subscription business.
• Familiarity with data pipeline tools, data warehousing, or infrastructure processes.

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 Research Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

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) 3 referees including their name, contact information (email) and relationship to applicant

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

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

We are looking for a dedicated and bioinformatics-trained Research Assistant/Research Associate to join our team! If you are passionate about contributing to ground-breaking research and have expertise in bioinformatics and related techniques, we want to hear from you.

Duties & Responsibilities

• Perform bioinformatics analyses related to RNA biology.
• Assist in data processing, storage, and management.
• Apply computational tools to analyze large-scale NGS datasets.
• Contribute to the design and implementation of research protocols.
• Collaborate with team members to publish results in scientific journals.

Qualifications

• Bachelor's or Master’s degree in Bioinformatics, Computational Biology, Genetics, or a related field.
• Experience in RNA biology research or (epi)genomic data analysis is highly desirable.
• Proficiency in programming languages (e.g., Python, R) for data analysis.
• Familiarity with (epi)genomic databases and RNA sequencing data processing tools.
• Strong problem-solving skills and the ability to work both independently and collaboratively.

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 successful candidate will work with Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.