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

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

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 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 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 bchjg@nus.edu.sg.

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 School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

Key Responsibilities:

• Conduct independent research in areas related to material science and engineering in soft robotics/self-healing / soft interfaces
• Develop and implement robotic control systems
• Optimization of formulation for UV 3D printing / direct ink writing 3D printing
• Contribute to ongoing soft robotics research
• Design and prototype using CAD software and 3D printing technologies
• Collaborate with faculty and other researchers on interdisciplinary projects
• Publish research findings in peer-reviewed journals and present at conferences
• Assist in mentoring students

Job Requirements:

• Ph.D. in Material Science, Engineering, Robotics, Sensors, or a closely related field
• Strong background in formulations for 3D printing
• Experience in soft robotics applications
• Proficiency in CAD software and 3D printing technologies
• Strong programming skills (e.g., Python, C++, MATLAB)
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Experience with machine learning and AI applications in engineering is advantageous

We regret to inform 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.

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.

NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited (“Nanofilm”, “NTI”), Nanyang Technological University (“NTU”) and supported by Singapore under RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s RIE2025 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is seeking to hire a Research Associate. The selected candidate will innovate technologies on metalens and other related devices and products.

Key Responsibilities:

• Development of microfabrication process for metalens and related devices using cleanroom facilities,
• Working in cleanroom environment and usage of facilities such as SEM, EBL, etc.
• Characterization of metalens and related devices
• Project planning and progress reporting

Job Requirements:

• Masters degree in relevant Engineering or Science discipline.
• At least 3 years of working experience in microfabrication (processing).
• Familiarity with cleanroom facilities and processing
• Basic knowledge on device characterization
• Good interpersonal skills with ability to work independently and also in a team environment.

We regret that only shortlisted candidates will be notified.

The CAP Group from Nanyang Technological University, Singapore, is seeking 1 motivated research fellow in the topic of “Digital Twin for Advanced Battery Analytics”.

Key Responsibilities:

• Lead research projects and cross-functional teams, including research fellows, engineers and other stakeholders;
• Supervise junior graduate students;
• Write technical reports, including papers, patents and technical disclosures;
• Work closely with team members/engineers and assist in developing new features;
• Ensure responsiveness of applications;
• Support expansion of research output through increased paper publication;
• Diagnose the issue and resolving it on demand.

Job Requirements:

• PhD Degree in Electrical Engineering, Information System, Computer Science, Computer Engineering or a related discipline;
• At least 5 years’ work experience in relevant areas, industrial leadership experience highly preferred;
• Proven ability to translate theoretical insights into practical solutions;
• Proficiency in Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Excellent verbal communication skills and good problem solving skills;
• Strong attention to detail;
• Fluency in both spoken and written English - for research purposes

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

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

Duties and Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liasing with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design and interpretation of quantitative surveys and qualitative interviews and focus groups and collected data
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects using qualitative and/or quantitative data, from conception to completion, in a University setting (essential)
• Track record of publishing in international peer-reviewed journals (desirable)
• Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply

Qualifications

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
• Ability to work independently and as part of a multidisciplinary team (essential)
• Highly developed problem-solving skills and adept at managing complex problems (essential)
• Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
• Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI

Job Description

Dr Chen Jinmiao is looking for a motivated Research Associate to join the Centre for Computational Biology (CCB) who will participate in AI-powered analysis of single-cell and spatial omics for precision medicine. Dr Chen’s research team develop AI algorithms for spatial and single-cell omics, integrates publicly available data into a centralised hub, and utilises this platform to build AI models for discovering biomarker and drug targets.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator, including but not limited to the following:

• Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data.
• Independently carry out computational and bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies.
• Application of qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualize new ideas and develop plans for independent research in the field of single-cell and spatial omics and other -omics data modalities.
• Write and review research papers and present research outcomes.
• Perform routine duties related to the research study, such as data curation and making data backups, as required.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., AI, Deep Learning, Machine Learning, Statistics, Database, Bioinformatics, Computational Biology, Computer Science, Data Science, Data Analytics, Biology) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses.
• Familiar with and experienced in handling and manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq, etc.
• Proficient in R / Python and Linux / Bash.
• Prior experience and working knowledge of additional computational platforms and applications (e.g. Quantum computing, Perl, Java, etc.) preferred.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

NLCS (Singapore) believes that each employee makes a significant contribution to our success and that contributions should not be limited by the assigned responsibilities.

Therefore, this position description is designed to outline primary duties, qualifications, and job scope, but not limit the employee, nor NLCS (Singapore), to only the work identified. It is the expectation of the school, that each employee will offer his/her services wherever and whenever necessary to ensure the success of our organisation.

Our School is committed to safeguarding and promoting the welfare of children and young people. The School expects all teaching staff, non‐teaching staff and volunteers to share and uphold this commitment.

NLCS (Singapore) is looking for an enthusiastic, highly qualified and committed Computer Science Teacher, with an outstanding track record of success, for August 2025. This is a unique opportunity to join a leading international school as it enters an exciting new phase of development. We have just started our third year of operation and already have over 1000 students enrolled.

Teaching, learning & assessment

• Demonstrate passion for the subject and strive to engender the same in students.
• Plan and deliver lessons that inspire, motivate and challenge students whilst ensuring that they are fully prepared for assessment tasks and are able to make the progress expected of them.
• Encourage students to take a scholarly approach to their studies, fostering a love of learning and promoting the pursuit of their academic interests beyond the confines of the curriculum.
• Create and maintain an engaging, exciting classroom environment that encourages discussion, debate and collaboration between students.
• Ensure that students have an excellent understanding of the content outlined in departmental curriculum plans, and are able to apply it effectively.
• Build stretch and challenge into teaching at every opportunity.
• Use a variety of formative and summative assessment techniques to measure students’ progress and achievement, and inform teaching.
• Provide individualised support to students who are underperforming.
• Make effective and timely use of feedback (written, verbal and otherwise) to support students in understanding their current achievement levels and what they can do to improve them.
• Maintain high expectations of the quality of students’ work, liaising with the Head of Department and other relevant staff to implement support strategies for those who are underperforming.
• Maintain high expectations of students’ engagement and work ethic, liaising with the Head of Department and other relevant staff to implement support strategies for those who are not meeting them.
• Maintain high expectations of students’ behaviour, collegiality, attendance and punctuality, in line with School policy, ensuring that relevant procedures are followed if these are not met.
• Ensure that teaching fosters the development of students’ knowledge and use of academic English, implementing appropriate support strategies for EAL students.
• Implement classroom strategies prescribed by the Individual Needs Department for students with an Individual Needs Plan (INP).
• Adopt a positive and developmental approach to academic monitoring activities such as lesson observations, work scrutiny, learning walks and student voice.
• Assess, record and report on the attainment, effort and conduct of students in line with School and departmental assessment policies and procedures.
• Assist in the development of departmental schemes of work and resources.
• Maintain accurate records of student attendance through the School’s attendance system.
• Fulfil a teaching commitment in line with the School policy and allocation.

Pastoral care

• Always consider students’ welfare and best interests, striving to promote both at all times.
• Support the strong pastoral emphasis within NLCS (Singapore) as a tutor, including teaching PSE. Manage a lively, enthusiastic, orderly and safe learning environment fulfilling the responsibilities of that position.
• Develop strong relationships with students, providing guidance and support in academic, pastoral and enrichment matters.
• Liaise with relevant colleagues with a focus on supporting student’s academic and personal development.
• Maintain regular and positive relationships with parents with a focus on supporting their child(ren)’s academic and personal development; the spirit of communication with home should be personal and individual.
• Liaise with and support the Pastoral Leadership team in all matters pertaining to pastoral well-being, responsibility and strategy.
• Working alongside the Senior School Management Team to contribute to academic, pastoral and enrichment activities that broaden students’ experiences and enhance the general life of the school.
• Follow the school’s policies and procedures with regard to pastoral provision.

Enrichment

• Support the School’s academic enrichment programme by contributing to the McCabe Lecture series, supporting student-led academic societies and delivering taught enrichment sessions.
• Attend School events and activities as directed by the Principal and voluntarily support events such as trips, Arts Festival events, sports fixtures (home and away) and musical performances by students, after school and at weekends.
• Deliver co-curricular activities in line with School policy.
• Support the House Competition by attending events and encouraging student participation.

General responsibilities

• Play a full part in the life of the School, supporting its distinctive aims and ethos, and be prepared to actively participate and contribute to the community activities that exist within the School.
• Maintain familiarity with the School’s Guiding Statements, striving to embody and promote them at all times.
• Work effectively as part of a subject and pastoral team.
• Maintain high levels of professionalism and conduct, acting as a positive role model for students.
• Carry out supervisory duties as per published duty rotas.
• Continue own professional development in relevant areas, including subject knowledge, pedagogy and others related to career and personal development goals.
• Attend assemblies, staff meetings and training sessions as per published calendars.
• Engage actively in the appraisal process.
• Contribute to the preparation and implementation of academic and pastoral development plans, policy and practice.
• Treat all students with dignity, building relationships rooted in mutual respect, and at all times observing proper boundaries appropriate to a teacher’s professional position.
• Abide by the expectations laid out in the Academic Staff Handbook and the Staff Code of Conduct.
• Maintain familiarity with, and follow, all school policies.

Safeguarding

• Abide by the School safeguarding policy and keep abreast of any changes