Welcome to Veradigm, where our mission is transforming health insightfully. By joining Veradigm, you become part of a team addressing today’s pressing healthcare challenges for biopharma, health plans, healthcare providers, technology partners, and patients. Our focus is harnessing research, analytics, and artificial intelligence (AI) to develop scalable, data-driven solutions that deliver significant value across the healthcare ecosystem.

As a Software Engineer at Veradigm, you'll be integral in designing, developing, and testing applications that meet detailed requirements. You'll be working with modern technologies like Angular, TypeScript, C#, and .NET Core to build user-facing web applications. This role offers a challenging yet rewarding opportunity to contribute to high-impact projects in a collaborative, agile environment.

In this guide, we’ll explore the Veradigm interview process, share commonly asked questions, and provide valuable tips to help you succeed. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Veradigm as a Software Engineer. Whether you were contacted by a Veradigm recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Veradigm Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Veradigm Software Engineer hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Veradigm Software Engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Veradigm’s data systems, software development skills (especially in Angular, TypeScript, C#, .NET Core, and SQL), and problem-solving abilities.

In the case of Software Engineer roles, take-home assignments concerning software development practices, coding, and problem-solving techniques are incorporated. Besides these, your proficiency against design patterns, architecture, and software lifecycle management may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Veradigm office or virtually. Your technical prowess, including programming and system design capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Software Engineer role at Veradigm.

Quick Tips For Veradigm Software Engineer Interviews

• Brush Up on Your Tech Stack: The Veradigm engineering team primarily works with Angular, TypeScript, C#, .NET Core, and SQL. Make sure you're comfortable with these technologies and their associated best practices.

• Understand Healthcare Technology: Veradigm specializes in healthcare solutions. Familiarize yourself with common challenges and opportunities in healthcare tech, as well as relevant security and data privacy regulations.

• Soft Skills Matter: Veradigm values collaboration and problem-solving. Be prepared to discuss times you’ve worked well in a team, managed conflicts, and prioritized tasks effectively.

Typically, interviews at Veradigm vary by role and team, but commonly Software Engineer interviews follow a fairly standardized process across these question topics.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables. Discuss the meaning of the coefficients and how they impact the model's predictions.

• How would you design a machine learning model to classify major health issues based on health features? As a machine learning engineer for a health insurance company, design a model that classifies whether an individual will undergo major health issues based on a set of health features. Describe the steps, algorithms, and evaluation metrics you would use.

• What metrics and statistical methods would you use to identify dishonest users in a sports app? For a sports app tracking running, jogging, and cycling data, formulate a method to identify dishonest users who might be driving instead of biking. Specify the metrics you would analyze and the statistical methods you would use to detect athletic anomalies indicative of cheating.

• Develop a function str_map to determine if a one-to-one correspondence exists between characters of two strings at the same positions. Given two strings, string1, and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2.

• Build a logistic regression model from scratch using gradient descent and log-likelihood as the loss function. Create a logistic regression model from scratch without an intercept term. Use basic gradient descent (with Newton's method) for optimization and the log-likelihood as the loss function. Do not include a penalty term. You may use numpy and pandas but not scikit-learn. Return the parameters of the regression.

• Why are job applications decreasing despite stable job postings? You observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be the reasons for this trend?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook informs you that friend requests have decreased by 10%. How would you approach this issue?

• How would you assess the validity of an AB test result with a .04 p-value? Your company is running an AB test on a feature to increase conversion rates on the landing page. The PM finds a p-value of .04. How would you evaluate the validity of this result?

• How would you analyze the performance of a new LinkedIn feature without an AB test? LinkedIn has launched a feature allowing candidates to message hiring managers directly during the interview process. Due to engineering constraints, an AB test wasn't possible. How would you analyze the feature's performance?

• Would you recommend a customer success manager or a free trial for Square's new product? You're in charge of Square's small business division. The CEO wants to hire a customer success manager for a new software product, while another executive suggests a free trial. What would be your recommendation?

• How would you build a fraud detection model using a dataset of 600,000 credit card transactions? Imagine you work at a major credit card company and are given a dataset of 600,000 credit card transactions. Describe your approach to building a fraud detection model.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you tackle multicollinearity in multiple linear regression? Describe the methods you would use to address multicollinearity in a multiple linear regression model.

• How would you design a facial recognition system for employee clock-in and secure access? You work as an ML engineer for a large company that wants to implement a facial recognition system for employee clock-in, clock-out, and access to secure systems. The system should also accommodate temporary contract consultants. How would you design this system?

• How would you handle data preparation for building a machine learning model using imbalanced data? Explain the steps you would take to prepare data for building a machine learning model when dealing with imbalanced data.

What is the average salary for a Software Engineer at Veradigm?

Q: What is Veradigm's mission and what kind of impact does it aim to make in healthcare? Veradigm's mission is transforming health, insightfully. We leverage research, analytics, and artificial intelligence to develop scalable data-driven solutions that bring significant value to all healthcare stakeholders, enabling smarter care for millions.

Q: What technologies will I be working with as a Software Engineer at Veradigm? As a Software Engineer, you'll be working with Angular, TypeScript, C#, .NET Core, and SQL. You'll develop and maintain user-facing web applications, including our company's web portal, and interact with external clients for integration tasks.

Q: What are some key responsibilities of a Software Engineer at Veradigm? You'll develop software solutions by analyzing requirements, designing and implementing features, testing and debugging applications, documenting processes, and collaborating with outside technical teams to support and maintain connections.

Q: What qualifications and experience are Veradigm looking for in a Software Engineer? Candidates should have a Bachelor's Degree or equivalent experience, 4-7 years of relevant work experience, proficiency in C#, Angular, SQL, and possibly experience with Azure, Snowflake, and health IT.

Q: How can I best prepare for an interview for the Software Engineer position at Veradigm? To prepare for an interview, familiarize yourself with Veradigm's mission and technologies, review your technical skills, and practice with Interview Query to refine your interview techniques and problem-solving skills.

Ready to transform healthcare and make a lasting impact? At Veradigm, we strive to harness the power of research, analytics, and AI to solve some of the biggest challenges in today's healthcare landscape. Our culture prioritizes innovation and inclusivity, creating an environment where the best version of you can thrive. As part of our team, you'll work on cutting-edge projects, collaborate with diverse talents, and contribute to solutions that make smarter care possible for millions of people.

For more insights about our company, check out our main Veradigm Interview Guide, where we've covered many interview questions that could be asked. We’ve also created interview guides for various roles, such as software engineer and data analyst, to help you understand our interview process for different positions.

At Interview Query, we are committed to empowering you with the knowledge, confidence, and strategic guidance to excel in your Veradigm interviews and challenges. You can explore all our company interview guides for better preparation. Good luck with your interview!