Decision Science - Patient Analytics (Experience 3 to 10 Years, Open for Pune, Hyderabad Bangalore and Delhi NCR location)

ELIGIBILITY CRITERIA:

• B-Tech or BE in any engineering discipline or PG in Statistics/ Mathematics/ Operation Research with a minimum of 7+ years of relevant experience
• Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills
• Logical ability to design solutions and work either as individual contributor or with team in implementation of the same
• Exhibit expertise on pharma real world data like APLD, EMR, Prescription data, formulary data etc.
• Worked on advanced analytics in pharma domain throughout patient journey like line of therapy, switch analysis, source of business , segmentation, persistence & compliance etc. using various data sources.
• Relevant work experience in building statistical modelling and/or AI/ML models using Python, R-Studio, PySpark, Keras, Tensorflow
• Strong communication, project management and storyboarding skills
• Technical knowledge - R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory
• Experience in Pharma commercial analytics experience will be preferred

Roles & Responsibilities:

• Work closely with project manager to define the algorithm, break down the problem into execution steps and run the analysis
• Ensure high quality analytics solution/reports to client
• Contribute towards Axtria tools and capabilities as per the business requirements.
• Build organization capabilities by participating in Hackathon, solution design, process automation
• Effectively communicate with onshore/ client (as per business needs)
• Mentor junior associates

ABOUT AXTRIA:

Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. With customers in over 30 countries, Axtria is one of the biggest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry.

To know more please visit our website:

A few more links are mentioned below, you may want to go through to know more about Axtria’s journey as an Organization, its culture, products and solutions offerings:

• For White papers: Research Hub:
• For Axtria product and capability related content: 5 step guides:
• For recent marketing videos, including Jassi’s public discussions: Video Wall:
• Infographic Points of view on industry, Therapy areas etc.:

Interested Candidate can share their resume to Deepika Biswas ( )