Job Description

About the role

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
Program and validate programming of Real World Evidence (RWE) dashboards using R and shiny. Conduct observational database SAS programming and statistical analysis of large observational databases aligned with Novartis RWE strategies, with minimal supervision.

Your responsibilities include, but are not limited to:

• Lead the development of programming using languages 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 Analyst to scope and design projects.
• Experienced in RWE tools such as R, R/shiny, SAS, Impala, git or JIRA.
• Conduct observational data analyses including data management and statistical programming as well as the development of RWE dashboards.
• Experienced in machine learning and data mining techniques such as random forest, GBM, logistic regression, SVM, deep learning. Experience in dimensional reduction and R packages such as ggplot, plotly or t-sne.
• Drive consistency and compliance with company standards of the project documentation for observational studies and interactive data visualization tools, including programming, specifications of analysis datasets, tables, figures and listings.
• Conduct and enhance quality review in compliance with company standards and processes upon various stages of the projects.
• Support, contribute and enhance standardization techniques in order to increase efficiency in deliverables.
• Comply with project timelines together with the RWE Research Analyst 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.
• Support department leadership and more senior level team members in the interaction with stakeholders, Regional Account Directors (RAD) medical experts, and strategy directors.
• Independently 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.

Role Requirements

Bachelor\'s degree plus 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
Master\'s degree in a field such as computer science, bioinformatics, biostatistics, statistics or similar. And 3+ 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 2+ 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. Experience in setting up standardized programming scripts.
• 4+ 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 (regression, Anova, t-tests, etc.). Strong experience in SQL querying using at least one of the following Hive, Impala, MySQL, OracleSQL or similar. Experience with big data platforms such as Hadoop, Apache Spark is a plus.
• Understanding of organizational processes, including experience working cross-functionally with key internal stakeholders. Confident and competent when interacting with internal stakeholders. Ability to prioritize tasks and communicate overall timelines in order to efficiently produce high quality deliverables.
• 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.
• 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

Functional Area

Data Science

Division

Operations

Business Unit

Global Business Solutions

Employment Type

Regular

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Shift Work

No

Early Talent

No

Novartis