Postdoctoral/Research Fellow (Bioinformatic and Computational Biology)

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore seeks a Statisticians, Bioinformaticians, or Computational Biologist Snr Postdoc/Postdoc to join the Patani lab. The role focuses on motor neuron disease research using human iPSC models, sequencing, and advanced molecular methods in collaboration with Francis Crick Institute partners.

Responsibilities include leading computational projects, developing analytical strategies, and guiding experimental validation, with opportunities for scientific independence

Qualifications

• PhD in bioinformatics, computational biology, statistics, biostatistics, applied mathematics, quantitative biology, or closely related discipline.
• Strong research track record with first- or co-first author publications demonstrating substantial contributions.
• Ability to independently design and conduct rigorous computational or statistical investigations.
• Experience analysing complex biological datasets from raw data through analysis and publication.
• Foundations in statistics and quantitative reasoning, including experimental design, confounding, multiple testing, uncertainty and model validation.

Responsibilities

• Collaborate with Senior Research Fellows to lead computational projects and develop quantitative and analytical strategies.
• Guide experimental validation and gain scientific independence over time.
• Design and manage a research programme to achieve objectives.
• Oversee experiments and ensure data recording, analysis and documentation.

Skills

Statistical analysis

Computational biology

Bioinformatics

Genomics data analysis

Independent research

Education

PhD in bioinformatics/related field

Job description

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

We are looking for Statisticians, Bioinformaticians, or Computational Biologist Snr Postdoc/Postdoc to join the Patani lab at NUS. The Patani lab has played a pioneering role in understanding the molecular and cellular mechanisms underpinning motor neuron disease (ALS). The lab uses a variety of patient-derived iPSC lines to investigate disease-related events at the molecular level across different relevant cell types, including motor neurons, astrocytes, and microglia. The lab is seeking creative and driven Statisticians, Bioinformaticians, or Computational Biologist Snr Postdoc/Postdoc with experience investigating disease-related events at the molecular level across different relevant cell types, including motor neurons, astrocytes, and microglia to join the group. The individual will report directly to Prof. Patani.

Job Description & Key Responsibilities

The post holder will join a dedicated team researching Motor Neuron Disease (ALS) using human induced pluripotent stem cells. They will investigate motor neuron degeneration, focusing on genomic instability and RNA metabolism using stem cell models. The role involves advanced molecular methods and sequencing in collaboration with the Boulton lab at the Francis Crick Institute. This is an opportunity to contribute to impactful research within a diverse scientific community.

Research Fellow:

Collaborate with Senior Research Fellows and scientists to lead computational projects, develop quantitative and analytical strategies, and guide experimental validation. The individual will gain scientific and analytical independence over time.

Key Responsibilities

• Design and manage a research programme to achieve agreed objectives.
• Collaborate effectively with experimental and data scientists in the group to support project progress.
• Oversee the setup and execution of planned experiments, ensuring proper supervision and assistance.
• Ensure that results are recorded, analysed, and documented promptly.Prepare and present research findings to colleagues.
• Submit papers to relevant journals and participate in presenting findings at appropriate conferences.
• Train and supervise students and staff members on various techniques and the design of experimental protocols.

Teaching, Research, and Development

• Provide teaching on topics related to the post holder's work as requested by the line manager.
• Contribute to the department's multidisciplinary research projects in alignment with the strategy.
• Prepare and analyse data for publications to disseminate research and for presentations at international conferences, internal meetings at NUS, and meetings with external collaborators.

General Duties

• Maintain accurate, complete, and current records with strict confidentiality
• Participate in Departmental and Institutional meetings.
• Uphold professional standards in all research activities.
• Work resource-efficiently and support NUS Sustainability goals.
• Follow all Department, Institute, and NUS policies and regulations.

The above description is not exhaustive, and the post holder will be required to undertake any other duties as may reasonably be requested within the scope, spirit, and purpose of the post.

Qualifications

• Hold a PhD in bioinformatics, computational biology, statistics, biostatistics, applied mathematics, quantitative biology, or a closely related discipline.
• Demonstrate a strong research track record appropriate to career stage, including first- or co-first author publications demonstrating substantial intellectual or quantitative contributions.
• Demonstrate the ability to independently design and conduct rigorous computational or statistical investigations.
• Demonstrate experience analysing complex biological datasets and taking projects from raw data through statistical analysis, biological interpretation and publication.
• Have strong foundations in statistics and quantitative reasoning, including an understanding of experimental design, confounding, multiple testing, uncertainty and appropriate model validation.
• Demonstrate experience developing, adapting or critically evaluating computational/statistical approaches beyond relying exclusively on established analysis pipelines.
• Demonstrate the ability to work closely with experimental scientists to translate biological questions into analytical strategies and computational findings into experimentally testable hypotheses.