7 Patient Analytics Jobs

At Improzo, we believe in improving life by empowering our customers. Founded by seasoned industry leaders, we are dedicated to delivering quality-led commercial analytical solutions to our clients. Our team of experts in commercial data, technology, and operations is committed to evolving and learning together since our inception. At Improzo, you will have the opportunity to collaborate with brilliant minds, work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like yourself. Our success is driven by our CARE values framework, where we prioritize customer needs and outcomes, pursue bold and innovative avenues, foster a culture of collaboration and respect, and maintain a laser focus on quality-led execution. We are currently seeking a highly motivated RWE-HEOR-Patient Analytics Specialist at various levels to join our dynamic team. In this role, you will leverage Patient Analytics, Real-World Evidence (RWE), and Health Economics & Outcomes Research (HEOR) methodologies to drive impactful insights and support life sciences clients in optimizing patient outcomes, decoding patient journeys, and refining healthcare strategies. Your responsibilities will include leading patient journey analytics and segmentation, developing predictive patient models, analyzing patient-reported outcomes, integrating real-world data, conducting health economics evaluations, implementing advanced patient analytics solutions, engaging with clients to translate insights into actionable strategies, leading projects, mentoring team members, and contributing to thought leadership in patient analytics. Qualifications: - Bachelor's or Master's degree in Data Science, Biostatistics, Health Informatics, Epidemiology, Health Economics, Public Health, or related quantitative fields with an emphasis on patient-centered research. - 3-9 years of experience in Patient Analytics, Digital Health Analytics, RWE, and HEOR, preferably within the pharmaceutical, consulting, or healthcare industries. - Proficiency in statistical software and programming languages (Python, R, SAS, SQL), machine learning applications, data visualization tools, healthcare databases, patient privacy regulations, and clinical trial data utilization. - Experience with patient cohort identification, patient engagement analytics, care pathway optimization, treatment sequence analysis, patient risk scoring, population health management, and integration of RWE and HEOR principles. - Strong analytical and problem-solving abilities, excellent communication skills, collaborative approach, adaptability, continuous learning mindset, and ethical approach to patient data handling. Benefits: - Competitive salary and comprehensive benefits package. - Leadership opportunities in patient analytics, RWE, and HEOR initiatives. - Career development in the rapidly growing patient analytics and precision medicine field. - Collaborative environment with opportunities to impact patient care and outcomes. - Exposure to innovative healthcare technologies and global life sciences industry trends. - Professional development support including conferences, certifications, and advanced training in patient analytics, RWE, and HEOR methodologies.,

The Senior Specialist, Oncology portfolio analytics, Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Oncology Global Marketing team to inform current and future pipeline oncology asset and portfolio strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as well as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead development of analytics capabilities for the precision medicine and companion diagnostic priorities enabling the oncology new asset pipeline. The successful candidate will connect the dots across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities: Portfolio analytics: Develop and synthesize commercial data and insights for cross-portfolio priorities. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support decision making for Global Oncology portfolio (e.g. market and competitor landscape assessment tools, benchmark libraries). Analytics Delivery: Hands on analytics project delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Ability to leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration: Partner with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency: Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience and Skills: Bachelors degree, preferably in a scientific, engineering, or business-related field. Overall experience of 8+ years, with 4+ years of relevant experience in insights & analytics, advanced analytics, market research, strategic planning, marketing, or related roles within the pharmaceutical or biotechnology industry Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting secondary data analytics on large datasets using relevant skills e.g., excel VBA, Python, SQL Deep understanding and hands on expertise in commercial Oncology data ecosystem e.g., Epidemiology datasets, biomarker data, commercialization and real-world datasets Experience in envisioning, architecting and developing data driven tools/dashboards using visualization tools (e.g. PowerBI) Strategic thinker who can be consultative, collaborative and engage as equals. Strong communication skills using effective storytelling grounded on data insights. Expertise in building patient analytics and patient journey from commercial and real-world datasets (like IPSOS, Kantar, EPIC, e-LAAD, Symphony, Optum etc.) Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, attention to detail Preferred Experience and Skills: Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Therapeutic area experience in Oncology preferred Advanced degree (e.g., MBA, PharmD, PhD) preferred. Global experience preferred Team leadership experience Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Role: Data Scientist / Senior Data Scientist Reports to: Principal Advanced Analytics Profession: Data Science Office Location: Bangalore Job Description This position requires strong Coding Knowledge along with Data handling and Wrangling experience with either SQL/Python. Candidate will work hands-on projects in areas such as advanced analytics, creating reports and metrics out of large complex datasets, solution workbench etc. Individual should possess aptitude to understand business context, create insights from data and willingness to learn application of data handling tools and techniques suitable for the project assigned. Familiarity or Ability to learn and work on healthcare domain along with broad range of quantitative/analytical techniques to help clients improve their business decisions is needed. Responsibilities Expertise in custom projects focused on claims-based reporting using SQL/Python. Partner with the Product and Customer Success teams to deliver informed analyses to customers. Create deliverables to assist with customer engagements. Collaborate with fellow team members to implement optimized solutions. Contribute to internal projects and processes. Collaborate with global team to create deliverables. Mentor junior analysts and help drive best practices. Independently scope client requests Qualifications Data Experts with approximately 2 - 5 years of experience specializing in SQL/Python Hands-on experience with SQL/Python is mandatory. Must possess good interpersonal skills along with excellent presentation and communication skills. Proficient in Microsoft Excel. Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement. Knowledge of Pharma datasets is good to have. ISMS Responsibilities Comply with information security policies and processes Report security weaknesses, events or potential events, or other security risks, to the organization Execute all tasks related to information security management system as appropriate Why we love Analytical Wizards, and why you will too! Industry leading products Work hard, and have fun doing it Incredibly fast growth means limitless opportunity Flexible and dynamic culture Work alongside some of the most talented and dedicated teammates A collaborative and friendly culture with very high employee engagement About Company Company Name: AnalyticalWizards Services Pvt. Ltd,A DH Company Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA. Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068 Industry: Software Development and Data Science

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.

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