
51 - 200 employees
Founded 2020
🏥 Healthcare
☁️ SaaS
🤝 B2B
💰 Seed Round on 2021-11
Healthcare • SaaS • B2B
Dashlabs. ai is an end-to-end clinic management platform (YC W21) that centralizes patient intake, EMR/ EHR, results encoding, PDF certificate generation, laboratory machine integration, and financial/billing reporting for clinics and diagnostic centers. Founded in 2020 and focused on Southeast Asia (Philippines, Indonesia, Malaysia), Dashlabs serves 350+ organizations and has processed 20M+ patients. It targets diagnostic laboratories, medical centers, dialysis centers, veterinary clinics, hospitals, and corporate APE (annual physical exam) providers with tiers from a free plan to enterprise multi-branch deployments, and emphasizes security (encryption, VAPT) and integrations with analyzers from vendors like Mindray, Sysmex, Beckman Coulter, and Roche.
🔥 1 hour ago
🇵🇭 Philippines – Remote
👨🎓 Internship
⚪️ Entry-level
📉 Data Analyst
🚫👨🎓 No degree required
👻 Ghost score 15%
Where this job comes from
Posted on Dashlabs.ai (YC W21)'s careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on Dashlabs.ai (YC W21)'s site. Checked 1 hour ago.

51 - 200 employees
Founded 2020
🏥 Healthcare
☁️ SaaS
🤝 B2B
💰 Seed Round on 2021-11
Healthcare • SaaS • B2B
Dashlabs. ai is an end-to-end clinic management platform (YC W21) that centralizes patient intake, EMR/ EHR, results encoding, PDF certificate generation, laboratory machine integration, and financial/billing reporting for clinics and diagnostic centers. Founded in 2020 and focused on Southeast Asia (Philippines, Indonesia, Malaysia), Dashlabs serves 350+ organizations and has processed 20M+ patients. It targets diagnostic laboratories, medical centers, dialysis centers, veterinary clinics, hospitals, and corporate APE (annual physical exam) providers with tiers from a free plan to enterprise multi-branch deployments, and emphasizes security (encryption, VAPT) and integrations with analyzers from vendors like Mindray, Sysmex, Beckman Coulter, and Roche.
• Design, build, and maintain automated dashboards using Looker Studio/Google Data Studio to track KPIs and business performance • Write and optimize SQL queries to extract, transform, and load data from databases such as BigQuery and PostgreSQL • Create visual representations of complex datasets for non-technical stakeholders • Assist in cleaning and validating datasets to ensure reporting accuracy and integrity • Support deep-dive analyses of specific business problems • Identify opportunities to automate manual reporting processes using Google Sheets or scheduled SQL scripts • Work directly with experienced tech leads and executives • Contribute dashboards used by leadership for business decisions
• Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or a related quantitative field • Fundamental to intermediate SQL knowledge, including joins, subqueries, and aggregations • Hands-on experience with Looker Studio, Tableau, or Power BI through academic or project-based work • Proficient in Google Sheets or Excel, including pivot tables and VLOOKUPs • Strong ability to connect the dots and translate numbers into narratives • Ability to explain technical findings clearly and concisely • Must be currently enrolled in a university program requiring On-the-Job Training (OJT) or an internship for graduation • Ability to provide a School Endorsement Letter • Ability to coordinate signing of a Memorandum of Agreement (MOA) between the company and educational institution • Willingness to render the required number of hours dictated by the school curriculum, typically 200–600 hours
• Employees can work remotely • Real Impact: Your dashboards will be used by leadership to make actual business decisions • Mentorship: Work directly with experienced tech leads and executives • Tooling: Get hands-on experience with modern data stacks and enterprise-level BI tools • Offers for a paid position may be extended post-internship • Competitive compensation packages
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