Role Description SyncVR Medical is the leading Extended Reality (XR) platform in European healthcare, active in 200+ hospitals across 7 countries. We are selected by a big hospital chain to build a prediction model on actual medical data. This role is a unique opportunity to build a life-saving AI engine using the world’s most valuable clinical datasets. - Help build a Predictive Risk Engine that identifies which patients are candidates for "Immersive Care" (XR distraction) instead of drugs. - Work directly with our CEO to: - Mine Unstructured Data: Use NLP (ClinicalBERT / BioBERT) to extract anxiety markers and procedural indicators from thousands of anonymized clinical notes. - Feature Engineering: Clean and join complex longitudinal datasets including medication dosages (Infusion tables), vitals (Flowsheets), and recovery timestamps. - Build the Model: Develop and validate an XGBoost classification model to output an "XR Suitability Score" with a target AUC-ROC of >0.75. Qualifications - Final year Master’s student or PhD candidate in Data Science, AI, Medical Informatics, or Applied Math. - Expert-level knowledge of the Python data stack (Pandas, Scikit-learn, XGBoost). - Hands-on experience with the HuggingFace library and transformer models. - Ability to navigate and join massive relational databases (BigQuery/SQL Server). - You are a "builder" who is comfortable with the ambiguity of clinical data and the fast pace of a scale-up environment. Requirements - Education: Final year Master’s student or PhD candidate in Data Science, AI, Medical Informatics, or Applied Math. - Python Mastery: Expert-level knowledge of the Python data stack (Pandas, Scikit-learn, XGBoost). - NLP Experience: Hands-on experience with the HuggingFace library and transformer models. - SQL Skills: Ability to navigate and join massive relational databases (BigQuery/SQL Server). - Mindset: You are a "builder" who is comfortable with the ambiguity of clinical data and the fast pace of a scale-up environment. Benefits - Direct involvement in a global hospital validation project (a massive career booster). - Your code will directly influence how one of the world's top hospitals delivers care. - Direct contact with our CEO. (NB: no other data scientist though - show independence!). - High potential for either a permanent role or a position at a similar company following a successful internship! - Remote location (2x/week online video call with CEO in USA). - Compensation: primarily for learning in a role full of freedom and responsibility - not for earning a high internship salary. Company Description SyncVR Medical is the largest XR healthcare platform in Europe, being active in over 250 hospitals in Europe. Our mission: improve healthcare with XR.

• Review and file legal documents using internal systems and email • Participate in ongoing training to expand knowledge of industry and process • Investigate discrepancies as they arise • Complete additional projects as assigned

Role Description The Varicent Associate TAM works alongside Technical Account Managers within the Customer Success organization with a portfolio of clients who have subscribed to the VIP Program. The Associate TAM will act as a Varicent adviser to client resources with the aim to maximize the VIP client’s return on their Varicent investment. This will require building strong relationships with all stakeholders and supporting business goals by solving go-to-market challenges with innovative solutions. This will include: - Answering product, process, and solution-specific questions. - Proactively monitoring existing solutions for optimal performance. - Adapting and evolving existing solutions with new implementations and adoption of new features and functionality. - Working in tandem with the primary TAM to own the customer’s technical success. - Supporting all system and solution-focused conversations. Qualifications - At least 5 years of experience in IT Consulting, Enterprise Software Implementation. - Prior experience with Query Based Languages and Relational Databases. - Technical data skills including strong experience with SQL data manipulation and Microsoft Excel. - Preferred: Understanding of Sales Performance Management domain. - Strongly Preferred: Hands-on experience with Varicent software products (Administering, implementing, and/or supporting). - Basic knowledge of system configurations, data models, and data integration best practice concepts. Requirements - Advanced SQL is mandatory. - Support the primary TAM in monitoring the health and performance of Varicent solutions across a portfolio of VIP customers. - Assist in coaching users on foundational Varicent functionality, configuration concepts, and best-practice methodologies. - Participate in reviewing new features, fixes, and release notes to help assess potential impact on the customer’s environment. - Contribute to configuring Varicent solutions based on documented customer requirements, under guidance from the senior TAM. - Prepare and share monthly performance, utilization, and support-related metric summaries. - Analyze solution usage and data patterns to help identify potential issues or areas for optimization. - Assist in implementing proactive maintenance actions and solution improvements. - Collaborate with TAMs and internal teams to troubleshoot errors, investigate defects, and support solution optimization efforts. - Identify opportunities for customer value realization and surface to the primary TAM for strategic review. - Contribute to customer conversations that frame Varicent products as targeted solutions to process challenges. - Partner with the TAM team to support sustainable customer engagement, project outcomes, and product adoption. - Contribute to planning and estimating tasks within the Technical Success journey. - Work with internal stakeholders to understand change management processes and assist in recommending improvements. - Collaborate with TAMs to maintain a reusable object repository. Benefits - Innovate with Purpose: Build impactful solutions for customers worldwide. - Join Excellence: Work in a diverse, collaborative, and innovative team. - Shape the Future: Lead in redefining revenue optimization. - Grow Together: Unlock your potential in a supportive environment. Performance Based Success Criteria - 1-3 Months: - Familiarize oneself with company culture, policies, escalation paths, and internal systems. - Complete training and onboarding. - Learn the various systems used in daily operations. - Participate in team meetings and events. - 4-6 Months: - Begin managing defined customer work triaged by your Technical Account Manager cohorts. - Adhere to VIP program deliverables including task tracking against active initiatives. - Begin to prioritize tasks, escalate blockers, communicate effectively, and demonstrate problem resolution. - Support data validation, report creation, performance troubleshooting, and config changes as needed. - 7 Months & beyond: - Manage a full client portfolio. - Operate as a trusted technical partner, supporting the TAM at a strategic level. - Independently deliver core TAM activities including configuration work and troubleshooting. - Document changes and existing builds, generating usage, performance, and status reporting. - Participate in journey/plan execution. Company Description Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process please email accomodations@varicent.com. Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Role Description The Data Operations Analyst plays a critical role in developing custom product attribution based on unique customer needs. Each of our corporate retail and brand customers thinks about the structure of their categories in slightly different ways, and the Data Operations Analyst will execute the mapping of products to their requirements using a combination of manual tagging and machine learning tools. Interpretation and execution design require strong judgment. The ideal candidate should bring a combination of technical skills, knowledge of consumer product data, strong attention to detail, and accountability to plan and deliver projects on time with a high degree of accuracy. This is a fully-remote opportunity based in India. During onboarding and training period, we expect several hours of overlap with US time zones. Afterward, hires should be available for meetings and check-ins with their US managers and colleagues; however, outside of these specific times, standard work hours can be flexible. - Work with corporate retail and brand customers to understand their category structures and product attribution requirements. - Execute the mapping of products to customers' category needs, utilizing both manual tagging and machine learning tools. - Apply strong judgment and interpretation skills to ensure that data mapping aligns with customer specifications and business goals. - Collaborate with cross-functional teams to plan and deliver projects on time, ensuring high levels of accuracy and precision. - Continuously monitor and improve product attribution processes to increase efficiency and quality. - Leverage technical skills to enhance existing processes and tools that support data operations. - Maintain strong attention to detail and ensure accuracy in every aspect of the data mapping process. - Take accountability for successfully executing projects, including meeting deadlines and client expectations. Qualifications - 1-2 years of experience developing a strong technical background, including applied Python, Pyspark, and/or SQL skills. - RegEx experience is not mandatory but would be considered a nice-to-have skill. - Proficiency in data analysis, tagging systems, and machine learning tools. - Knowledge of consumer product data and experience working with retail or brand data. - Exceptional attention to detail, with a focus on delivering high-quality, accurate results. - Excellent problem-solving and critical-thinking skills. - The ability to manage multiple tasks and projects while maintaining a high degree of accuracy. - Strong communication and collaboration skills to work with internal teams and external clients. - Proven ability to execute projects efficiently and meet deadlines. Requirements - Experience with data management platforms, product attribution systems, or machine learning tools. - Familiarity with data mapping, tagging, and categorization practices. Benefits - Flexible work hours and flexible vacation. - A generous 401K match. - Parental leave. - Team events. - Wellness budget. - Learning reimbursement. - Competitive salary.