Data Engineer I

About the Department
Our Boston Research & Development hub, anchored in the greater Boston area, brings together the best minds in life science innovation. The teams located in facilities in Lexington, Watertown and Cambridge reflect the full R&D continuum, from early research through late-stage clinical development. Here, we are building for the future, creating a distinct R&D community based on collaboration, partnerships, and cutting-edge research across multiple modalities and therapeutic areas. We recognize that improving human health starts here and that patients rely on us. Our greater Boston R&D hub merges biotech speed and agility with large pharmaceutical company quality, resources, and stability, uniting the best of both worlds to develop new medicines for patients.
The AI and Analytics Team is part of Novo Nordisk's Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions. By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing treatments. We work in multidisciplinary teams with strong collaboration across all areas of the organization and engage in external collaborations to ensure access to cutting edge research and technology.
We believe in the value of a diverse and inclusive culture. Together, we build and grow talent to ensure the development of new solutions. The team is comprised of collaborative, diverse and passionate people who have a true sense of pride in their work. We are committed to helping each other grow, and we are driven by the opportunity to make a difference in the lives of people living with chronic disease.
The team is comprised of collaborative, diverse and passionate people who have a true sense of pride in their work and are committed to helping others grow and develop their careers. You'll also have a platform to engage with key stakeholders on a global scale throughout the entire pipeline process. And while changing the future of diabetes, obesity and MASH treatment is no easy task, we also recognize the importance of an enjoyable workplace, which is why we've cultivated a culture of fun, ingenuity and innovation. And our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience. We are changing lives for a living. Are you ready to make a difference?
Purpose
The Data Engineer will contribute to the research team's effort towards exploring and creating new technology and being a world leader in the Data Engineering role. The Data Engineer will bring elements of appropriate data architecture and engineering, together with the infrastructure teams to translate data science solutions into highly available, scalable, reusable, consistent, secure and enterprise enabled systems and platforms, specifically in the applications of AI and Machine Learning (ML) applications. Moreover, the Data Engineer will, with guidance from more senior Data Scientists, contribute to the development, validation, and deployment of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, and work closely with other engineers to build AI/ML-fueled products.
Relationships
The Engineer I will report to the head of the related research area. Internal partners include data scientists, specialists, ML Ops engineers, software developers, system engineers, designers, IT professionals, technology scouts & partnership developers, and other functions across US and Denmark.
Essential Functions

• Work with various data science, ML, AI, imaging, bioinformatics, real-world evidence, and other research teams to build modern data-driven enterprise-ready solutions
• Remain up to date on company's standards, industry practices and emerging technologies
• Interface with business partners to lead architecture and development of enterprise cloud-based data solutions and pipelines that feed into data science solutions
• Work with the data engineering, data science and data ownership teams to collect relevant data elements and implement data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity
• Work closely with various stakeholders to provide end-to-end support in data ETL and consumption
• Actively participate in cross-functional teams to develop AI and ML solutions
• Actively participate in virtual global team meetings regularly
• Collaborate with Data Scientists, engineers and/or scientists from other disciplines to build robust and sustainable enterprise data solutions that deliver AI/ML models
• Collaborate with data scientists to design, code, train, test, deploy data models and pipelines that feed machine learning systems
• Prepare and present written and oral reports and proposals to peers and management.

Physical Requirements
Up to 10% overnight travel required
Qualifications

• Bachelor preferred. High School Diploma required with 4+ years relevant experience required.
• A Bachelor's degree with 0-1+ years' relevant experience can be considered.
• Relevant experience includes:
  • Ensuring data quality in collaboration with data analysts, data scientists, and business partners (peer validation)
  • Support the development and operationalization of data solutions, rectify issues, apply transformations, and recommend data cleansing and quality solutions
  • Fundamental knowledge of scripting languages (Python, R, Scala, Julia a plus)
  • Basic understanding of visualization tools (PowerBI, Tableau) and project management tools (JIRA, Confluence) a plus
• Preferred experience includes:
  • Knowledge and/or professional experience is preferred in the pharmaceutical industry, healthcare industry, regulated medical device development, or another regulated field
  • Experience with SQL, DynamoDB, RedShift, EFS, EMR, EBS, ElastiCache and other relational/non-relational database technologies/concepts
  • Experience with AWS data-related services such as Storage Gateway, CloudWatch, Glue, Athena, S3, Lambda, Data Pipeline, Data Migration, Step functions.
  • Experience with CI/CD, basic ETL practices such profiling, cleansing, transforming, developing and documenting data structures, schemas and dictionaries.
  • Proficiency in version control in git, GitHub, BitBucket, or similar tools.
• Excellent written and oral communication skills
• Detail oriented with strong documentation skills

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.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at This contact is for accommodation requests only and cannot be used to inquire about the status of applications.