
51 - 200 employees
Founded 2017
☁️ SaaS
🏢 Enterprise
🤝 B2B
SaaS • Enterprise • B2B
Medify is an Indonesian healthtech company providing a cloud-based hospital information system (SIMRS) and electronic medical records (EHR) platform for hospitals and clinics. Its modular SaaS solution covers administration, outpatient/inpatient management, billing, laboratory, radiology, pharmacy, inventory, and many specialized modules, and integrates with BPJS, the Ministry of Health, PACS/LIS and other hospital systems. Medify emphasizes usability, customization, 24/7 maintenance, ISO 27001 data security, HL7 FHIR interoperability, and is used by dozens of hospitals and thousands of clinicians across Indonesia.
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
💵 £70k - £80k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2017
☁️ SaaS
🏢 Enterprise
🤝 B2B
SaaS • Enterprise • B2B
Medify is an Indonesian healthtech company providing a cloud-based hospital information system (SIMRS) and electronic medical records (EHR) platform for hospitals and clinics. Its modular SaaS solution covers administration, outpatient/inpatient management, billing, laboratory, radiology, pharmacy, inventory, and many specialized modules, and integrates with BPJS, the Ministry of Health, PACS/LIS and other hospital systems. Medify emphasizes usability, customization, 24/7 maintenance, ISO 27001 data security, HL7 FHIR interoperability, and is used by dozens of hospitals and thousands of clinicians across Indonesia.
• Own design for our Learning and Analytics squad • Help students understand their strengths and weaknesses • Direct student efforts toward effective study materials • Partner with our Learning Team to improve study materials • Build internal tooling for Medify employees' productivity
• Very strong visual skills in both product and brand design • A knack for turning complex analytics into simple, clear insights and effective data visualisations. • Expertise in Figma and experience using and contributing to design systems • Proven ability to tackle complex UX/UI challenges and ship user-focused designs • Excellent async communication skills (Slack, Loom, etc.) • Ability to work autonomously and take initiative • Experience using AI to build prototypes and mock-ups • Experience shipping features that use AI (nice-to-have) • Experience building data visualisations with D3 (nice-to-have) • Familiarity with Framer (nice-to-have) • Basic familiarity with collaborating with engineers on Github (nice-to-have)
• Fully remote working, plus in-person meetups • 25 days' annual leave, rising to 28 days with tenure • Pension scheme • Private health and dental care after one year of employment • Professional development support, including learning budgets and skills growth • A high-autonomy role with genuine ownership and the freedom to experiment • Mission-driven work, creating resources that help students access medical careers
Apply Now🔥 16 hours ago
Driving data science and statistical analysis for drug development at Parexel. Collaborating with global teams to provide insights-driven clinical solutions in life sciences.
🇬🇧 United Kingdom – Remote
💰 Venture Round on 1990-01
⏰ Full Time
🟠 Senior
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
🕒 Yesterday
Data Product Manager responsible for developing digital data products for the healthcare industry. Collaborating with commercial teams and enhancing client engagement through data solutions.
🕒 2 days ago
Subsurface Data Manager ensuring integrity and accessibility of subsurface data for clients in exploration and production at Sword. Managing data quality, regulatory compliance, and supporting exploration teams.
🕒 2 days ago
Data Scientist at Moniepoint focusing on building fraud detection systems and collaborating with cross-functional teams. Involved in model development, experimentation, and risk assessment.
🕒 5 days ago
Senior Clinical Data Manager overseeing the full cycle of Clinical Data Management for oncology studies. Leading studies in a collaborative environment with clients and cross-functional teams.