Principal Data Scientist I

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, Statistics, Biostatistics

Job Description

The primary function of AbbVie's Information Research group is to unlock information that makes cures possible. Our mission is to leverage data and technologies to measurably impact our patient's lives. We have an exciting opportunity available for a Principal Data Scientist within Information Research (IR) to leverage and extend our data science capabilities in the Pharmacovigilance and Patient Safety (PPS), Global Medical Affairs (GMA), and Human and Economic Outcomes Research (HEOR) spaces. This position will be part of the RAIDERS team working to accelerate, scale, and amplify the power of our scientists leveraging automation and artificial intelligence technologies and capabilities.

The ideal candidate will have a strong background in data science with both data architecture and manipulation/visualization skills as well as statistical modeling skills. Ideally the candidate will also be familiar with machine learning and artificial intelligence algorithms and approaches. The candidate will work with senior scientists, physicians and technology groups to apply enterprise data capabilities to PPS specific business problems. The candidate will also influence the roadmap for enterprise data capabilities by enthusiastically advocating for PPS, GMA, and HEOR data science / analytical needs with enterprise IT groups. The candidate will develop and test hypotheses around data-driven analytical needs and will advance the science of data across IR. In doing so, the candidate will enable PPS, GMA and HEOR to better apply data science methods to advance science.?

Key Responsibilities:

• Design – understand key analytical challenges in the areas of pharmacovigilance, medical affairs, and human and economic outcomes research and work with senior scientists / physicians to structure analytical approaches to answer questions of interest. ?Dynamically design algorithms to address scientific queries.
• Build – through your own efforts and by working with software engineers develop custom software solutions / processes that contribute to and help foster the growing AbbVie data integration environment. ?Leverage existing tool sets (R, Spotfire, D3, JQuery, Apex, .NET, JReview, Python, etc) to develop data visualizations and recommend new tools that would benefit AbbVie.
• Presentation –bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making.Database Support – have the necessary skills to design and develop ETLs and materialized views, possess technical proficiencies in relational database technologies to create physical data models.?
• Transactional System Support – integrate and generate data reports on existing custom and vendor systems.
• Collaboration– candidate will link PPS, GMA, and HEOR stakeholders with IR teams to solve data problems in a simple and agile manner.
• Adaptability – given our diverse mission you should be able to move fluidly between different project responsibilities.?

Qualifications:

• Bachelors degree in Science, Engineering, or related field with 8 years of experience; Doctorate preferred.
• Proven ability to develop solutions in scientific programming languages (e.g. Java, C#, UNIX Shell Script, Python, R).
• Ability to develop web services (e.g. REST based APIs using J2EE and/or Spring).
• Working experience in cloud computing services implementation (e.g. AWS, Google Cloud).
• Expert-Level Oracle skills -- including SQL, PL/SQL, Oracle triggers, and JDBC programming.
• Experience in data modeling/integration and RDBMS (Oracle DB, SQL Server).
• Familiarity with big data ecosystems (Hadoop, Hive, Pig) and NoSQL (MongoDB) a plus
• Experience with UNIX scripting.
• Familiarity with tools and techniques for data analysis, harmonization, and visualization (e.g. Pipeline Pilot, Spotfire, Seurat).
• Ability to effectively communicate, both verbally and in writing to scientists and non-scientists.
• Ability to manage multiple projects with multiple teams and collaborations

Significant Work Activities

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)