Job Details
To strengthen our IT Early Solutions Information Architecture team, we are looking to fill the position of Information Architect based out of either our Boston R&D Hub or our location in Raleigh, NC. This is not a remote role.
As an Information Architect, you will deliver innovative data management, integration, and streaming platforms to underpin cutting-edge drug discovery processes. Your solutions will enable data analysis, machine learning and data driven decision-making by therapeutic project teams throughout the drug discovery and early development pipeline. The skills you bring will boost a fast-moving research environment aiming to transform patients lives.
You like to work in an environment where you can:
Accelerate drug discovery by delivering data platforms that expose and exploit the power of data.
Work with multi-disciplinary teams on projects spanning all aspects of drug discovery: from target discovery through early development.
Use your technical skills to extend and enrich data management platforms to support new modalities, e.g., Gene Therapy, Proteomics, Functional Genomics and more.
Define new data models, select appropriate technology stacks, and map new concepts into a central platform as well as Ingest and combine relevant open external data alongside UCBs proprietary data.
Build data pipelines and algorithms to support data import, normalization, and calculations.
Influence how scientists and IT work together continue our adoption of FAIR data principles, Data Governance and agile development practices to deliver powerful data platforms.
You will contribute by:
Acting as a technical expert: deliver, maintain, and extend smart innovative data engineering solutions for a wide variety of drug discovery data pipelines enabling UCB to exploit complex data (internal and public).
Leading by influence through storytelling and strategizing through multi-disciplinary teams involving scientists, data scientists and IT architects to design and deliver solutions in an agile manner.
Interested? For this position, you ll need the following education, experience, and skills:
Minimum Qualifications:
Demonstrable experience managing high volume, content, and variable scientific data
4+ years of experience in a data/information engineering role
2+ years of experience within the life science industry
Solid foundations in handling data fluidly (parse, transfer, store, edit) and building data pipelines utilizing your skillset in data modelling, data warehousing and related technology (SQL/NoSQL) and ETL/ELT.
You have solid knowledge in at least one programming language preferably in Python, R, Scala and knowledge of Agile software development principles.
Other Qualifications:
Exposure to and usage of graph and array databases
Usage of data streaming technologies such as Spark
Excellent Communication skills and Stakeholder management, proactively conveying technical topics to a non-expert audience or to abstract scientific contexts when engaging with IT partners.
You are curious and motivated, even when tackling multidisciplinary or unfamiliar projects.
Great organizational skills and ability to multitask
Compensation Range: $135,440 to $177,765