Principal RWE Scientific Data Analyst

• 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.
• 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, medical experts, and RWE directors/associate 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.

Ideal Background 

Education :

Bachelor’s degree plus 8+ years as programmer or Scientific Data Analyst 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 Scientific Data Analyst 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 Scientific Data Analyst in the pharma industry, contract research organization, or academic institute; or experience in a closely related discipline.

Languages:

English fluent (oral and written)

• 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.
• 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.

Preferred Qualifications:

• 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.

You’ll receive: Competitive salary, Annual bonus, Pension scheme, Share scheme, Health insurance, 25 days annual leave, Flexible working arrangements, subsidized dining facilities, Employee recognition scheme, learning and development opportunities. Why consider Novartis?
799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges. Imagine what you could do at Novartis! Commitment to Diversity & Inclusion: Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
Novartis are an equal opportunities employer and welcome applications from all suitably qualified persons Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: Novartis Ireland Ltd. has been certified as a Top Employer 2020 by the Top Employers Institute for its exceptional employee offerings!

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:

Division Operations

Business Unit CTS

Location Ireland

Site Dublin (Novartis Global Service Center (NGSC))

Company / Legal Entity IE02 (FCRS = IE002) Novartis Ireland Ltd

Functional Area Market Access

Job Type Full time

Employment Type Regular

Shift Work No

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