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