Research Engineer

2 days ago

Central Region, Singapore Singapore Management University Full time $80,000 - $120,000 per year

General Job Scope

  • Assist the project PI and Co-I in designing, developing, and maintaining the project's key outputs and deliverables, including the Singapore database, open-source code repositories, project website, documentation, and research papers.
  • Assist in engagement with partners, government agencies, and wider academic community including at roundtables, conferences, and events
  • Assist with supervising and delegating tasks to junior project team members including other Research Engineers and student assistants

Principal Accountabilities

  • Design and build scalable data pipelines for extracting, validating, and structuring information from Singapore legal documents (e.g. judgments, statutes, academic publications)
  • Develop automated extraction systems using rule-based methods, text processing, and machine learning/NLP techniques for information retrieval and annotation from legal texts
  • Create and maintain database infrastructure including data schemas, quality validation systems, and version control for research datasets
  • Build public-facing API and documentation to enable researchers and legal tech developers to access the database
  • Implement data quality assurance processes including inter-annotator agreement checks, automated validation, and error correction workflows
  • Collaborate with legal researchers to translate domain requirements into technical specifications and data models
  • Document technical processes and decisions to support reproducibility, future maintenance, and open-source release
  • Research and writing for technical papers detailing the project methodology and findings.
  • Supervising and delegating tasks to junior project team members including other Research Engineers and student assistants
  • Supporting the organization of and attending project-related events

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Systems, Computer Engineering, Data Science, or related fields
  • 2 to 3+ years' experience in data engineering or software development roles involving data pipelines, databases, and APIs

Core Qualifications

  • Proficiency including experience with data processing and analysis pipelines (e.g. scrapy, pandas, nltk, langchain, transformers) and web frameworks (Rest APIs, Flask, etc)
  • Proficiency including experience with database design and maintenance methods and principles (e.g. SQL, GraphQL, normalization)
  • Demonstrated ability to work independently and in a team to build complete systems from requirements gathering through deployment and documentation

Preferred Qualifications

  • Familiarity with LLMs and other methods for data extraction or annotation tasks
  • Background in research software engineering or academic/scientific computing environments
  • Knowledge of legal, policy, regulatory, or similar domains
  • Knowledge of web scraping, XML/HTML parsing, and working with semi-structured documents
  • Contributions to open-source projects or public datasets

Other Information

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