About the Role:

• We are seeking a highly skilled Statistics Officer to join our team in the Statistics Unit at SingHealth.
• As a key member of our team, you will play a crucial role in driving data-informed decision-making across our healthcare system.

Key Responsibilities:

• Conducting in-depth data analysis to uncover trends, generate actionable insights, and deliver easy-to-digest reports and strategic summaries for Senior Management and stakeholders.
• Designing and producing useful self-service data reports for organisation-wide sharing, promoting their use, and guiding users on how to interpret and use the data.
• Processing routine and ad-hoc data requests from relevant government bodies and internal stakeholders.
• Building, enhancing, and maintaining Data Warehouses (DWs).
• Collecting, organising, and maintaining useful data not captured in the DWs.

Requirements:

• Bachelor's Degree preferably in Statistics, Mathematics, Computer Science, Information Management, Data Science, Business Analytics, Engineering, or related disciplines.
• At least 1 year of relevant working experience in areas relating to data management, statistics or data warehouse.
• Some experience in machine learning will be an advantage.
• Proficient with at least one programming language, preferably Microsoft Excel Visual Basic for Applications (VBA), STATA, Python and/or R.
• Proficiency with Tableau and Oracle Business Intelligence (BI) will be advantageous.
• Strong problem-solving, logical thinking, analytical and quantitative reasoning skills.
• Strong communication skills with ability to articulate ideas clearly and write concisely.
• Strong interpersonal skills and able to work with staff of all levels.
• Team player who is proactive, independent, meticulous, and highly adaptable in rapidly changing environment.
• Fast learner with a positive attitude.

We are seeking a highly skilled Data Analytics Specialist to join our team. The successful candidate will be responsible for driving our digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness.

The ideal candidate will have a strong background in data pipeline construction and data lake management, as well as expertise in handling structured and unstructured data. They will also have excellent technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform.

In this role, you will work closely with Internal Auditors to analyze large data sets, trends and results to drive data-driven operational risk decisions. You will also be responsible for addressing data risks, including those related to PII (Personally Identifiable Information), and ensuring secure data handling throughout the pipeline.

You will be required to leverage data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls. This will involve using quantitative analysis methods for business decisions and applying data team's expertise to solve critical technical problems.

The successful candidate will have a Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience. They will also have a passion for delivering value and driving successful outcomes for the organization.

• Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience
• Proven expertise in data pipeline construction and data lake management
• Expertise in handling structured and unstructured data
• Strong technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform
• Excellent communication skills
• Leverage of Gen AI to expedite the delivery of solutions

This is an exciting opportunity to work with a leading organization and contribute to the development of innovative solutions. We offer a competitive salary package, comprehensive benefits, and opportunities for professional growth and development.

If you are a motivated and experienced data analytics professional looking for a new challenge, please apply today. We look forward to hearing from you!

We are seeking a highly skilled and driven professional to fill the role of Data Analyst. The ideal candidate will possess strong data analysis capabilities with hands-on experience in SQL, Python, Power BI, and cloud computing (AWS). The role involves model training and deployment, as well as the application of modern LLM techniques such as prompt engineering and Retrieval-Augmented Generation (RAG) to drive business and product insights.

• Analyze large-scale data using SQL and Python to derive actionable insights.
• Design and implement dashboards using Power BI for real-time monitoring and decision-making.
• Build, train, and deploy machine learning models to improve business operations and project outcomes.
• Collaborate with cross-functional teams to implement AI-powered solutions including RAG pipelines and prompt engineering for LLMs.
• Work on AWS platform to manage data workflows and deploy scalable models.
• Contribute to high-quality supervised fine-tuning data collection for LLMs.

• Bachelor's or Master's degree in a relevant field (e.g., Data Science, Analytics, Computer Science).
• Proficient in SQL, Python, Power BI, AWS, Model Training, Model Deployment, RAG, Prompt Engineering.
• At least 3 years of relevant experience in data visualization tools such as Power BI or Tableau.
• Hands-on experience with AWS services and/or Microsoft Azure.
• Strong foundation in ML model training and deployment processes.
• Experience with large language models (LLMs), prompt engineering, and RAG applications.
• Strong communication and project management skills.

The role of Data Analyst is a crucial part of driving and managing multiple projects in the field of computational biology. The successful candidate will plan, perform sequencing data analyses, statistical analyses, and other relevant computational analyses, and interpret the results in the context of assigned research projects/questions.

Key responsibilities include:

• Drive and manage multiple projects: plan and perform sequencing data analyses, statistical analyses, and other relevant computational analyses and interpret the results in the context of assigned research projects/questions.
• Collaboration: Work closely with the Principal Investigator, clinicians, data scientists, researchers and stakeholders.
• Data pipeline management: Design, implement and maintain data processing pipelines for ingesting, transforming, and loading data from various sources.
• Security and Compliance: Define computing resources and data access controls, encryption, and authentication mechanisms. Ensure compliance with data privacy regulations (e.g., GDPR, PDPA, APAC Data Laws etc.) and organisation structures.
• IT Infrastructure Maintenance: Monitor system performance, identify and resolve bottlenecks or issues, ensuring minimal downtime. Apply software updates and patches. Backup data to prevent data loss. Source and liaise with vendors in procurement of the IT infrastructure to support the team's expansion needs as necessary.

Job Requirements:

• Master/PhD in Computational Biology or Computer Science or Mathematics or Biostatistics or Physics preferred.
• At least 3 years research experience in a Genomics-related field is mandatory.
• Knowledge and experience in omics analyses is mandatory (any of WGS, WES, RNAseq, single-cell sequencing or similar).
• Knowledge and experience in biostatistical analyses of clinical datasets preferred.
• Familiarity with data security and access control measures preferred.
• Ability to plan and execute data analysis and ad-hoc projects, both independently and in collaboration with external parties.
• Strong organisational, interpersonal and presentation skills.
• Familiarity with Linux or other Unix flavours, preferably as an administrator/superuser and server maintenance preferred.
• Familiarity with pipeline management systems (e.g. Nextflow), job schedulers (e.g. Slurm), container/virtualization systems (Docker, Singularity).

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