Axtria Recruitment Process

Axtria is a global provider of cloud software and data analytics solutions, founded in 2010. This company specializes in AI-led platforms for the life sciences industry, including pharmaceuticals and biotechnology. Axtria serves clients in over 75 countries, helping them transform product commercialization, drive sales growth, and improve patient outcomes through tools like Axtria DataMAx™, SalesIQ™, InsightsMAx™, MarketingIQ™, and CustomerIQ™.

In short, Axtria:

• Delivers AI-powered data analytics and cloud platforms for commercial operations in life sciences.
• Focuses on sales, marketing, and real-world evidence (RWE) solutions.
• Supports enterprises in areas like forecasting, omnichannel engagement, and clinical trials.

Disclaimer: The information mentioned in this article is taken from various resources and communities available on the internet.

Interview Experiences

It is always beneficial if you know what it is to be there at that moment. So, to give you an advantage, we provide you with the Interview Experiences of candidates who have been in your situation earlier. Make the most of it.

• Axtria Interview Experiences

Where to Apply?

• Axtria careers
• Axtria Official Website

Eligibility Criteria for Engineering Roles

Axtria seeks candidates for engineering roles with specific qualifications, particularly for freshers and early-career professionals in data science, software development, and data engineering:

• B.E./B.Tech, M.Tech/M.Sc., or Ph.D. in Computer Science, IT, Engineering, Operations Research, AI, etc, related fields.
• Minimum 60% or 6 CGPA in graduation; 70% in 12th; 80% in 10th.
• For freshers, no prior experience required; focus on academic performance and relevant coursework.

Axtria Recruitment Process: Selection Rounds

Axtria's hiring process typically involves multiple stages, with variations based on the role (e.g., software engineer, data engineer). The process can take 1-4 weeks and includes aptitude, technical, and behavioral assessments.

Online Round

The initial stage is an online assessment on platforms like CoCubes, lasting 90 minutes. It includes sections on Verbal Ability, Quantitative Aptitude, Statistics, and Coding (e.g., C++, SQL problems). Subjective questions may cover company knowledge and teamwork scenarios.

Technical Round-1

A virtual or in-person technical interview focusing on core concepts. Expect questions on data structures (e.g., linked lists, trees), algorithms (e.g., string manipulation, greedy methods), databases (SQL joins, set operators), OOP principles (constructors, destructors), and projects/internships. Puzzles or scenario-based problems may also appear.

Questions Asked in Axtria

• What is the difference between B-tree and binary trees?
• Explain the Difference between SDLC and STLC.
• What is class invariant?
• Describe different networking devices.
• What are SQL joins?
• What are Promises in JavaScript?
• Explain the four pillars of OOP
• What is the difference between SQL and NoSQL?
• What is the difference between Ridge and Lasso regression?
• What are precision and recall?

Technical Round-2 (For specific roles)

A deeper dive into problem-solving, often with a hiring manager. Topics include advanced DSA (e.g., binary tree LCA), system design basics, and role-specific skills like Python, AWS, or machine learning. Discussion on past experiences and API implementation is common.

HR Round

In this round, you can expect general discussion to assesses cultural fit, communication, and motivation. They also ask questions about resumes.

You can also expect general HR questions like:

1. Tell me about Yourself
2. Why Axtria?
3. How do you see yourself after five years from now?
4. What are your strengths and weaknesses?

Axtria Job Roles

Axtria offers diverse engineering and analytics roles in a growing organization planning to hire over 1,000 professionals in data science, software development, and data engineering:

• Software Engineer (Backend/Full-Stack): Builds scalable cloud platforms using NodeJS, Express, and MongoDB; focuses on APIs and life sciences tools.
• Data Engineer: Designs data pipelines with Azure Data Factory, Databricks, PySpark; handles pharma datasets like IQVIA and claims data.
• Machine Learning Engineer: Develops AI/ML models for forecasting and RWE; requires experience in GenAI and therapeutic areas like oncology.
• Internships/Graduate Programs: Entry-level roles with training in SQL, Python, and analytics; opportunities for campus hires.

Technical Skill Requirements for Axtria Roles

Coursework

• Data Structures & Algorithms (DSA): Linked lists, trees, graphs, strings, stacks, queues, greedy algorithms, dynamic programming.
• Databases: SQL (joins, normalization, indexing), NoSQL basics.
• Operating Systems/Software Engineering: OOP, SDLC/STLC, APIs (RESTful), agile practices.
• Computer Networks: Basic devices (routers, switches), HTTP/REST.
• Domain Knowledge: Pharma data sources (IQVIA, Veeva), RWE, life sciences analytics.

Programming Skills

• Languages: Proficiency in Python, SQL, C++, JavaScript; PySpark for data roles.
• Backend Development: NodeJS, Express, Azure (Synapse, SQL, DevOps).
• Data Tools: Databricks, Snowflake, AWS; ETL processes.
• Testing & Version Control: Unit testing, Git.
• Problem-Solving: Clean code for real-world pharma scenarios; familiarity with ML frameworks for advanced roles.