At a Glance
- Tasks: Design and develop key outputs for legal research projects using cutting-edge data engineering techniques.
- Company: Join Singapore Management University, a vibrant community with a family-like atmosphere.
- Benefits: Enjoy competitive pay, generous benefits, and professional development opportunities.
- Why this job: Make a real impact in the legal tech field while collaborating with experts.
- Qualifications: Bachelor's or Master's in relevant fields with 3-4 years of experience in data engineering.
- Other info: Dynamic role with opportunities to engage in exciting project-related events.
The predicted salary is between 48000 - 72000 £ per year.
Company Description
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university. Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
Responsibilities
- This position is for Centre for Digital Law, Yong Pung How School of Law (CDL, YPHSL).
- 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.
- 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.
- Supporting the organization of and attending project-related events.
- Other duties as assigned.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, Computer Engineering, Data Science, or related fields.
- 3 to 4+ years' experience in data engineering or software development roles involving data pipelines, databases, and APIs.
- 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.
- 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
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University.
Senior Research Engineer (2-year contract), CDL, YPHSL in London employer: HYPERSCAL SOLUTIONS PTE. LTD.
Contact Detail:
HYPERSCAL SOLUTIONS PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer (2-year contract), CDL, YPHSL in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Singapore Management University on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by researching the Centre for Digital Law and its projects. We want to show that we’re genuinely interested and ready to contribute to their mission.
✨Tip Number 3
Practice common interview questions, especially those related to data engineering and software development. Let’s make sure we can confidently showcase our skills and experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people at SMU. Plus, it shows we’re serious about joining their team!
We think you need these skills to ace Senior Research Engineer (2-year contract), CDL, YPHSL in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Research Engineer role. Highlight your experience with data pipelines, databases, and APIs, as well as any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in data engineering or software development makes you a great fit. Don't forget to mention your familiarity with legal domains if applicable!
Showcase Your Projects: If you've contributed to open-source projects or have personal projects that demonstrate your skills, make sure to include them. We love seeing practical examples of your work, especially those related to data processing and analysis.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at HYPERSCAL SOLUTIONS PTE. LTD.
✨Know Your Stuff
Make sure you brush up on your technical skills related to data engineering and software development. Be ready to discuss your experience with data pipelines, databases, and APIs, as well as any specific tools mentioned in the job description like SQL or Python libraries.
✨Show Your Team Spirit
Since this role involves collaboration with junior team members and legal researchers, be prepared to share examples of how you've successfully worked in a team. Highlight any experiences where you supervised others or contributed to group projects.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills, especially in designing scalable data pipelines or implementing data quality assurance processes. Think of specific challenges you've faced in past roles and how you overcame them.
✨Engage with the Culture
Familiarise yourself with Singapore Management University's values and culture. Be ready to discuss how you can contribute to their 'family-like' atmosphere and commitment to professional development, showing that you're not just a fit for the role but also for the community.