About SGInnovate:

SGInnovate is a Deep Tech ecosystem builder and investor, backed by the Singapore Government. Our expertise and approach combines investments, talent development and community-building to catalyse the translation of emerging technologies into tomorrow’s opportunities. Through our flagship Deep Tech Central platform, we connect individuals, founders and companies to specialised resources and opportunities across all technological domains and stages of growth. Our portfolio of emerging tech startups comprises some of the most promising companies leading the commercialisation of research developed from Singapore’s RIE ecosystem. Connect with us at www.sginnovate.com.

Overview

The Ecosystem Readiness Level (ERL) Project team pioneering the development of an industry maturity framework for the emerging tech sector in Singapore. Be part of this exciting and pivotal research effort to bring about positive and impactful changes to our Deep Tech start up ecosystem and Singapore.

If the prospect of orchestrating strategical changes that are instrumental to the growth of SGInnovate and our key sector excites you, look no further and grow your career with us today!

Responsibilities

We are seeking an Ecosystem Readiness Project (ERL) Intern who is curious, detail-oriented, and passionate about the innovation landscape. In this role, you will play a pivotal role in shaping our understanding of the Singapore deep tech ecosystems. This is a unique opportunity to combine your passion for research with the world of innovation, venture capital, and emerging technologies.

Your work will directly contribute to our mission of mapping and analysing the key factors that enable technological breakthroughs to thrive and scale.

Typical tasks and responsibilities include:

• Qualitative Data Transformation: Transcribe, clean, and code qualitative data from expert interviews with high accuracy. You will be responsible for preparing datasets for rigorous analysis, turning conversations into structured, usable information.

• Secondary Research & Synthesis: Conduct comprehensive secondary research on global deep tech trends, venture capital landscapes, and key industry players. You will synthesise findings from academic journals, industry reports, and news sources into concise summaries.

• Data Integrity & Documentation: Meticulously maintain and update project documentation, including research logs, data repositories, and methodological notes, to ensure the integrity and accessibility of our team's knowledge base.

• Collaborative Analysis: Collaborate with the ERL team in brainstorming sessions, contribute to the analytical process, and assist in generating data-driven insights from the information you've helped prepare.

• Communicating Insights: Assist in creating charts, graphs, and presentation slides to effectively communicate complex research findings to internal stakeholders.

Required

• Diploma or Bachelor's degree in Business, Economics, Social Sciences, Public Policy, or a related field.

Preferred

• Prior experience with qualitative research or literature reviews.

• Familiarity with qualitative data analysis software (e.g., NVivo, MAXQDA).

• Advanced proficiency in Microsoft Excel or Google Sheets (e.g., pivot tables, functions).

• Intangible:

• Research Acumen: Demonstrated experience in qualitative research methods through academic projects, coursework, or prior internships.

• Meticulous Nature: A highly organised and methodical approach to work, with a keen eye for detail and a commitment to accuracy.

• Proactive Mindset: A resourceful self-starter, comfortable working independently, taking initiative, and navigating ambiguity.

• Critical Thinking: Excellent analytical skills with the ability to synthesise complex information from diverse sources and draw logical conclusions.

• Passion & Curiosity: A genuine interest in emerging technologies, startups, venture capital, and innovation ecosystems.

  
  

If the above sounds like you & your dream job, send us your CV at recruitment@sginnovate.com and let's do a coffee chat.

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