7 Patient Analytics Jobs

Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient-level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze data, problems, and situations. Proficient in Microsoft Office suite . Teamwork and collaboration and can mentor junior associates. Articulate in communication (written or verbal) and able to convey ideas and information clearly to client or client-facing teams. Willingness to learn and innovate . Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation . Effectively communicate with onshore/client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Looking for experts in the space of commercial pharmaceutical analytics - HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/modeling knowledge , ability to transform data to insights, good data visualization/reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc. using various data sources. 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.

Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient-level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze data, problems, and situations. Proficient in Microsoft Office suite . Teamwork and collaboration and can mentor junior associates. Articulate in communication (written or verbal) and able to convey ideas and information clearly to client or client-facing teams. Willingness to learn and innovate . Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation . Effectively communicate with onshore/client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain . Looking for experts in the space of commercial pharmaceutical analytics - HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/modeling knowledge , ability to transform data to insights, good data visualization/reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc. using various data sources. 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.

Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient-level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze data, problems, and situations. Proficient in Microsoft Office suite . Teamwork and collaboration and can mentor junior associates. Articulate in communication (written or verbal) and able to convey ideas and information clearly to client or client-facing teams. Willingness to learn and innovate . Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation . Effectively communicate with onshore/client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain . Looking for experts in the space of commercial pharmaceutical analytics - HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/modeling knowledge , ability to transform data to insights, good data visualization/reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc. using various data sources. 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.

Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient-level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting . Strong in logical reasoning, structuring of analysis, asking the right questions and a logical approach to analyze data, problems, and situations. Proficient in Microsoft Office suite . Teamwork and collaboration and can mentor junior associates. Articulate in communication (written or verbal) and able to convey ideas and information clearly to client or client-facing teams. Willingness to learn and innovate . Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation . Effectively communicate with onshore/client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain . Looking for experts in the space of commercial pharmaceutical analytics - HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/modeling knowledge , ability to transform data to insights, good data visualization/reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc. using various data sources. 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.

Role & responsibilities BA - APLD Analyst Experience level: 3 to 5 years Mandatory: US APLD, SQL, Excel, PowerPoint Good to have: Python, PySpark, Any BI tool, EU work exposure Preferred candidate profile Perks and benefits

Job Title: Patient Analytics Job Location: -Gurgaon/Noida/Bangalore/Pune/Hyderabad Job Summary: - This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities: - Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Job Requirements: - Overall 3-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and 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. Qualification: - BE/ B. Tech/ B. Pharma/M. Pharma/M Tech/MBA Must have Skills: - Expertise in pharma real-world data like APLD, EMR, Prescription data, formulary data, etc Skills that give you an edge: - Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow

Job Title: Patient Analytics Job Location: -Gurgaon/Noida/Bangalore/Pune/Hyderabad Job Summary: - This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities: - Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Job Requirements: - Overall 3-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and 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. Qualification: - BE/ B. Tech/ B. Pharma/M. Pharma/M Tech/MBA Must have Skills: - Expertise in pharma real-world data like APLD, EMR, Prescription data, formulary data, etc Skills that give you an edge: - Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow