Interviewing at Qventus? You’ve come to the right place. In this comprehensive article, I’ll provide an insider’s look at the Qventus interview process and share tips to help you rock your upcoming interview.
As a leading AI-powered operations platform for healthcare Qventus only hires the best and brightest. With my advice you’ll be fully prepared to showcase your skills, experience, and fit for the company. Let’s get started!
Overview of Qventus
Before we dive into the interview details, let’s take a quick look at Qventus and what they do.
Founded in 2012 Qventus is headquartered in Mountain View California and has additional offices in New York City and Nashville. They have raised over $192 million in funding to date.
Qventus applies AI to healthcare operations. Their platform uses real-time data to optimize everything from staffing to patient flow. This enables healthcare systems to increase efficiency, lower costs, and improve the patient experience.
Qventus works with leading hospitals and health systems across the country like NYU Langone Health, CommonSpirit Health, and M Health Fairview.
Qventus Company Culture
Qventus is rapidly growing and has a dynamic startup culture. Despite having hundreds of employees now, they still maintain a small company vibe.
Employees report Qventus has:
- Bright, motivated co-workers who are experts in their fields
- A collaborative work environment
- Minimal office politics
- Leadership who is transparent about company goals
- Quality training for new hires
- Fun team outings and events
While hours can be long for some roles, the work is seen as fulfilling and high-impact. Qventus team members feel they are truly improving healthcare.
Qventus Interview Process
The Qventus interview process typically follows these stages:
- Initial phone screen with HR
- Technical interview focused on your area of expertise (coding, data science, etc)
- Cross functional interview with hiring manager and potential future peers
- Final interviews with executives
Some tips for each stage:
HR Screen:
- HR will ask about your resume, experience, salary requirements and other job history questions.
- Be prepared to explain why you want to work for Qventus specifically. Show you understand and are excited by their mission.
Technical Interview:
- For engineering roles, expect questions testing your knowledge of systems design and coding. Be ready to write code.
- For data scientist roles, you will need to demonstrate stats knowledge and data analysis skills. You may be given a case study.
Cross Functional Interview:
- This round tests your domain expertise, communication skills, and cultural fit.
- Expect behavioral questions like “Tell me about a time you overcame a challenge at work.”
- Show how your experience aligns with the role through specific examples. Demonstrate you are a team player.
Executive Interviews:
- In the final round, you will meet with company executives including the CEO, CTO and VP of your department.
- Again expect behavioral and situational questions to assess your leadership skills.
- Ask smart questions that show your understanding of their strategic goals.
I’ll provide more details on how to master each interview stage later in this article.
Qventus Interview Questions
Let’s now get into the nitty gritty of actual Qventus interview questions. Here are examples of common questions asked for different roles:
Software Engineering Interview Questions
Technical Questions:
- Explain how you would design a URL shortening service like Bitly.
- Write code to reverse a linked list. Optimize for time and space complexity.
- How can you tell if a directed graph has a cycle? Write a function to detect a cycle.
- Difference between array and linked list? Explain pros and cons.
- Given two version numbers like 1.0 and 1.1, how would you compare them?
System Design Questions:
- Design an API rate limiting system.
- Design a ride sharing service like Uber.
- Design a distributed cache system like Memcached.
- Design a search engine like Google.
Behavioral Questions:
- Tell me about a time you faced a challenging engineering problem. How did you approach and solve it?
- When working on a team project, how do you ensure tasks get completed on time?
- Describe a mistake you made in a previous role and how you dealt with it. What did you learn?
Data Science Interview Questions
Technical Questions:
- Explain overfitting and techniques to avoid it.
- How would you handle missing or corrupted data in a dataset?
- What evaluation metrics would you use for a classification model? When would you use each?
- Explain PCA (Principal Component Analysis). When would you use it?
- You have a model that is performing poorly on a new dataset. What could be the reasons?
Case Study Questions:
- We have hospital admission data and want to predict which patients are at high risk of readmission. How would you approach this analysis?
- Our click-through rate on ads is lower than expected. Explore potential causes using this sample clickstream data.
Behavioral Questions:
- Tell me about a time you had to analyze a complex dataset. What techniques did you use?
- When have you had to explain a technical analysis to a non-technical audience?
- Describe a situation where you had to work with incomplete or messy data. How did you handle it?
Product Management Interview Questions
Behavioral Questions:
- How would you go about understanding customer needs for a new product?
- Tell me about a time you had to prioritize between different product features. How did you make this decision?
- Describe a difficult product launch you managed. Why was it challenging and how did you deal with obstacles?
Product Sense Questions:
- How would you design an onboarding experience for a mobile healthcare app?
- Our hospital scheduling software is seeing declining engagement over time. What could be the reasons and how would you go about fixing it?
- Suggest ways to improve the home page and navigation of our website.
Domain Knowledge Questions:
- How is AI currently being used in healthcare operations?
- What do you think are the biggest challenges hospital administrators face today? How could software help address these?
- Imagine you could build any software solution to improve hospital workflows. What would you build and why?
Tips to Ace the Qventus Interview
You’re now equipped with a thorough overview of the Qventus interview format and sample questions. Here are my top tips to ensure you ace your upcoming interviews:
For technical roles:
- Thoroughly review computer science fundamentals like data structures, algorithms, database concepts, and OOP design.
- Practice implementing code solutions on a whiteboard or IDE while explaining your approach out loud.
- Grab a friend to conduct mock interviews. Test each other on coding problems and system design concepts.
- Prioritize communicating your thought process clearly and optimizing solutions for readability as well as efficiency.
For data science roles:
- Refresh key statistical concepts, Python/R skills, SQL, and machine learning techniques.
- Get hands-on with analyzing sample datasets similar to healthcare data.
- Imagine potential case studies Qventus could ask, and practice visualizing and presenting the analysis.
- Be ready to interpret model outputs and explain complex topics simply.
For product management roles:
- Research Qventus’s products and competitors deeply to understand their design philosophy.
- Practice identifying user pain points and crafting solutions. Refer to PM interview frameworks like CIRCLES.
- Prepare stories highlighting your past achievements driving product strategy. Quantify the impact.
- Ask smart mock interview questions about leadership’s vision to demonstrate strategic thinking.
For all roles:
- Research the healthcare operations space and Qventus’s approach so you can speak knowledgably about the domain.
- Craft a story highlighting why you are passionate about healthcare and mission-driven roles.
- Prepare examples demonstrating your problem-solving abilities, technical expertise, interpersonal skills, and past successes.
- Practice telling concise, structured stories using the STAR interview response technique.
- Prepare smart questions to ask at the end that demonstrate your interest.
Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients.Fondée en 201251-200 employés
Qventus provides a real-time decision-making platform for hospital operations. Our goal is to make healthcare easier to use so that hospitals and caregivers can focus on giving patients the best care possible. We make products and solutions that help nurses, doctors, and hospital staff predict problems and make operational decisions ahead of time using AI and machine learning.
Qventus works with leading public, academic and community hospitals across the United States. The company won the 2019 Black Book Awards in healthcare for patient flow, and CB Insights named it one of the top 100 most promising AI companies of 2019. That work helped health systems across the country plan for and run during the COVID pandemic earned Qventus the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge.
Why Join Us: * Were making a big difference. Qventus has meaningfully affected patient experiences and outcomes for almost 4 million patients across the united states. Our platform uses hospital data to guess what bad things will happen to patients and how bad those things could be. It then uses our action plan to get in touch with the right doctors and nurses at the right time and tell them what to do to stop these things from happening. Think Minority Report applied to hospitals.
- Our founding team has done this before. Two of our three founders worked as consultants for more than ten years helping hospitals be more efficient. People who work in hospitals know where they’ve been, where they want to go, and how to get people to change their minds and how to manage change so that this new wave of technology can happen.
- Our team is the best! We’re lucky to have brilliant engineers and data scientists from top schools like Stanford, MIT, Cal, and more. using the newest forms of AI and machine learning to make products that help healthcare companies and their employees around the world adapt quickly and make smart choices based on huge amounts of data We also have a number of practicing clinicians (surgeons, doctors, nurses) working for the company to help us understand how hospitals work. We take what we do very seriously.
- We have investors from YC, Start-X, Norwest, Mayfield, and Bessemer, as well as investors from outside of Silicon Valley. Some of the biggest health systems in the world, like Stanford, Emory, and Mayo, are among our customers. Even better, our customers are investing in us. For example, New York Presbyterian Ventures, the venture capital arm of New York Presbyterian Hospital, put money into us.
Engineering at Qventus: * Data Science: Responsible for our ML development. * DevOps: Infrastructure and associated infrastructure services, working with teams to build and maintain CICD pipelines. * QA: Responsible for quality definition, automation, QA infrastructure, driving quality process from development through release. We outsource a lot of functional QA because we’d rather have our QA team work on the engineering needed to grow a big QA organization.
1) Using AI/ML: We help doctors and nurses make operational decisions ahead of time so they can focus on patient care by using predictive analysis.
2) Data scaling: We are getting a lot more data, and it’s becoming more and more clinical (lab results, etc.).
3) Data sensitivity: This data is more sensitive because it comes from medical records. We need to be more careful about how we set up and watch our systems for this reason.
4) Data Ingestion- Getting data out of hospitals is not an easy task. We have to figure out more scalable solutions to help us grow quickly. There are many companies in this line of work, and we want to do it better than anyone else.
5) Product growth: As the hospital grows in more areas, we have more to learn and a chance to improve our product to help more people.
PROJECTS YOU MIGHT WORK ON
Patient Fall Risk Every day patients fall inside of hospitals. This is such a big problem that 1,000,000 people fell last year, killing 27,000 and costing $50 billion more in medical bills. Qventus made a way to tell when a hospital patient is likely to fall. This system would then send a message to the patient’s care team (doctor and nurses) telling them who was at risk and where to go to help them. For this system, a machine learning model and system were built so that the message could be sent to the right people at the right time. The project had amazing results; it cut the number of patient falls by almost 40% in the first hospital it was used in.
Qventus is an equal opportunity employer. If someone is qualified for the job, they will be considered regardless of their age, ancestry, race, religion, sex (including pregnancy), sexual orientation, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, gender identity or expression, genetic information, family or medical leave, or any other trait protected by laws, rules, and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/
Interview: Qventus CEO Mudit Garg on Real Time Healthcare
FAQ
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