Engineer II - Imaging Data and Solutions

Key Skills

Aartificial intelligence, Azure, C Programming, C++, Data Catalog, Data pipelines, Data science techniques, Data structuring, Effective communication skills, ETL/ELT technologies, Google Cloud Platform (GCP), Java Programming, Jupyter Notebook, Machine learning techniques, Python Programming, PyTorch, R Programming, TensorFlow

Job Description

The Position

The Imaging Data and Solutions Engineer has a subject matter knowledge on imaging systems and image processing. They will set directions and deliver well curated imaging data and software products via appropriately architected data pipelines to solve complex scientific problems. This role focuses on providing findable, accessible, interoperable, and reusable imaging data within our diabetes, obesity, chronic and rare disease therapeutic areas. They will provide support to data consumers including computational scientists, citizen data scientists, bots and laboratory scientists and contribute through application of expertise. They will use their knowledge of digital to speed the ability of scientists and data scientists to access and work with imaging data, and to use scientific applications

They will use their hands on expertise to provide solutions using preferred tooling and technologies, and will work with other data engineers, product owners and specialist across Data Management & Informatics and Global IT to address larger needs. This position will also enable the visualization needs for imaging data and be well versed in best practices required to streamline data handling, and represent the local needs at the sites in the context of the global data management and informatics organization.

Do you believe that the digitalization journey in Research and Early Development (R&ED) is crucial for the success of pharmaceutical companies in the future? Then apply to become part of the next wave of scientific discovery by joining Digital Science & Innovation (DSI).

Relationships

The Imaging Data and Solutions Engineer reports to the Director, Imaging Data and Solutions Engineering. Internal partners include therapeutic area scientists, computational biologists, data and software engineers, software developers, platform and compute engineers in Research and Development and Information Technology.

External relationships include relationships with commercial and academic collaboration partners.

Essential Functions

• Strong grasp of the image processing specifically DICOM headers and image transforms
• Gather/organize large, complex data sets and develop ETL/ELT systems to manage and utilize this data. This will involve profiling, cleansing, transforming and developing data structures, schema and dictionaries to create more efficient workflows
• Build automated monitoring mechanisms to ensure compliance and integrity of the pipelines and database
• Being a core contributor to agile product delivery teams with a focus on publishing data products into the research and enterprise data catalog, as well as platform engineering and delivering clinical data for research capability
• Ensure scientists and data scientists are aware of available imaging data and can access, integrate and query it in a performant manner 
• Enable streamlined sharing of rich data with collaborators through Cloud, accelerated compute and AI/ML approaches
• Assist with provisioning of compute and data pipelines to deliver performant imaging data products via the research and enterprise data ecosystem
• Optimize workflows and exchange of research imaging data within and to the global organization
• Ensure researchers are familiar with and can use preferred applications
• Develop or acquire new systems and software in collaboration with internal and external partners
• Conduct end-user training and technical support of informatics systems
• Advocate for the use of data and data science including computational and machine learning approaches in research projects
• Participate in sustaining a suite of tools and application such as Python, R, Jupyter Hub, Domino, DataLab, Omero.
• This role is an individual contributor role that must leverage agile software development practices. They will have a proven track record of creating business results with impact at the VP level. 

Physical Requirements

0-10% overnight travel required.

Qualifications

• Bachelor’s degree preferred. 
• Bachelor’s degree with 3+ years’ and Master’s degree with 1+ years’ relevant experience can be considered
• Relevant experience includes:
• Experience with imaging data sets including the formulation of scientific hypotheses and analysis plans that require the integration of multi-modal data into integrated data products
• Basic understanding of the ontologies, vocabularies and standards for data representation across the research and development value chain.
• Proficiency in one or more programming languages such as Python, Matlab, C/C++ and Java.
• Experience adapting, developing and adding functionality to programming tools such as ImageIO, python imaging library, scikit-image, Flask, FastAPI, Jinja preferred. 
• Experience on machine learning tools (Pytorch and Tensorflow) is desirable.
• Experience open-source contributions and publications demonstrating value to life sciences and drug discovery projects preferred.
• Proficiency in Amazon, Azure or Google Cloud is desirable.
• 2+ years imaging data and image processing expertise and experience designing, developing, implementing and maintaining data pipelines and using cloud research data platforms. 
• Experience with entire data and solution engineering lifecycle from design, deployment, implementing and maintenance of proprietary and commercial software
• Preferred: 
• 2+ years experience in life sciences, medical device or pharmaceutical industry
• Broad expertise spanning data and digital, including the ability to perform hands on technical work
• Strong analytical skills, the ability to plan and realize robust and scalable solutions with a structured approach and detail oriented
• Ability to work independently or need occasional guidance from manager/senior colleagues
• Automated testing skills preferred
• Excellent communication skills at bench scientist/end-user level and with middle management
• Excellent written and oral communication skills is required

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

Novo Nordisk is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by local, state or federal laws, rules or regulations.