Job Description

1 Million ! That is the number of patients datasets you get to work with every day . We are looking for enthusiastic professionals who can Independently develop, modify and de-bug programming routines (such as SAS or R or python) along with complex SQL queries to extract, clean, manage, and analyze large databases. Must be familiar with one of the healthcare database like healthcare claims , Electronic Medical records , Registry . As a member of RWE team you will be conducting observational data analyses including data management and statistical programming as well as the development of RWE dashboards by translating the study design into complex algorithms in collaboration with RWE Research Analysts and colleagues or business partners across all Novartis franchises.] Job Purpose The Principal RWE Scientific Data Analyst will lead programming activities aligned with RWE strategies, including the programming of Real World Evidence (RWE) studies and dashboards. Your key responsibilities: Your responsibilities include, but are not limited to: Lead projects in the development of programming routines (such as SAS or R) along with complex SQL queries to extract, clean, manage, and analyze large databases for health outcomes research. Data sources include medical and pharmacy claims data, hospital data, electronic medical record data, and prospective observational study data. Provide guidance and translate the study design into algorithms to extract, analyze and report secondary data for Non-Interventional Studies (NIS) or interactive data visualization tools. Collaborate with the RWE Research Analysts to scope and design projects. Provide guidance in RWE tools such as R, R/shiny, SAS, Impala, git or JIRA Conduct and provide guidance in observational data analyses including data management and statistical programming involving new creative approaches, as well as the design and development of RWE dashboards. Provide guidance on machine learning and data mining techniques such as random forest, GBM, logistic regression, SVM, deep learning. Substantial experience in dimensional reduction and R packages such as ggplot, plotly or t-sne. Drive consistency and compliance with company standards regarding project documentation for observational studies and interactive data visualization tools, including programming, specifications of analysis datasets, tables, figures and listings. Oversee and ensure compliance with company standards and processes. Oversee the compliance and enhancement of standardization techniques in order to increase efficiency in deliverables. Comply with project timelines together with the RWE Research Analysts and proactively alert the project manager or department leadership on any risks related to the deliverables and the timeline. Interact and engage with the customers on a regular basis by providing regular updates on the project progress to ensure customer satisfaction. Interact with stakeholders, Regional Account Directors (RAD) medical experts, and strategy directors. Present results, project summaries, and analytical techniques to customers, stakeholders and internal audiences. Mentor and upskill more junior members of the team. Assist the department leadership in the hiring process of new talent. Regularly elicit customers\' satisfaction levels with Data Science\'s RWE services. Identify service areas requiring attention. Encourage customer participation in the customer satisfaction survey. Manage the outsourcing of programming activities from Data Science to an approved vendor in accordance with Novartis vendor management procedures. Commitment to Diversity & Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Minimum Requirements Bachelor\'s degree plus 8+ years as programmer or data scientist in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline. Or Master\'s degree in a field such as computer science, bioinformatics, biostatistics, statistics or similar. And 5+ years of experience as programmer or data scientist in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline. Or PhD in a field such as computer science, bioinformatics, biostatistics, statistics or similar. And 4+ years of experience as programmer or data scientist in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline. Expert in the following R packages: Shiny, Rmarkdown, ggplot, plotly, data.table, dplyr. Expert in version control tools such as git or JIRA. Expert in setting up standardized programming scripts. 6+ years of programming experience and proven technical abilities with data manipulation, analysis and visualization including SAS or R, SQL and other statistical software. An interest in developing programming, statistical, visualization and analytical skills. Prior experience using large transactional databases such as claims databases, EMR, registries or financial databases. Exceptional problem-solving abilities with solid experience of statistical methods and machine learning. Solid experience in SQL querying using at least one of the following Hive, Impala, MySQL, OracleSQL or similar. Understanding of organizational processes, including experience working cross-functionally with key internal stakeholders. Solid experience with big data platforms such as Hadoop, Apache Spark. Confident and competent when interacting with internal stakeholders. Excellent project management skills: can prioritize multiple tasks and goals to ensure timely completion. Strong written/verbal communication skills. Highly effective at providing input at meetings, discussions and activities covering aspects of research data management and analysis on research projects. A strong interest in working in pharma. Open to experimentation and taking smart risks to support creative thinking that leads to practical solutions to healthcare and business challenges. Holds a high standard on quality excellence. Continuously seeking to enhancing standards, technology through expansion of knowledge and training. Support teamwork to swiftly and efficiently deliver innovative new products to patients and healthcare providers. High ethical values and standards. Able to speak out, challenge conventional thinking, and stand up for ideas. Strong team spirit. Ability to work well within a global organization. Why Novartis 766 million lives were touched by Novartis medicines in 2021, and while we\'re proud of this, we know there is so much more we could do to help improve and extend people\'s lives. We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what\'s possible, when we collaborate with courage to aggressively and ambitiously tackle the world\'s toughest medical challenges. Because the greatest risk in life, is the risk of never trying! Imagine what you could do here at Novartis! Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Division Operations Business Unit CONEXTS Country India Work Location Hyderabad, AP Company/Legal Entity Nov Hltcr Shared Services Ind Functional Area Data Science Job Type Full Time Employment Type Regular Shift Work No Early Talent No

foundit