Job Location: Lexington, MA
About the Department
Are you enthusiastic about driving the design of next generation healthcare solutions that will change the life of patients with diabetes and other serious chronic diseases? Do you want to be on the cutting edge of science to discover novel therapies and delivery technologies that patients both need and want?
The Novo Nordisk research center Seattle serves as the foundation of the Novo Nordisk U.S. research and development efforts for diabetes, obesity, liver disease and other therapeutic areas. In addition to discovering new therapies and technologies, our dynamic team of scientists and engineers lead an aspirational charge to pioneer scientific breakthroughs that have the potential to prevent and ultimately cure chronic disease. It is where science and technology intersect, and a vision can become a clinical reality. Are you ready to make a difference? Then join us as we drive change to defeat chronic disease.
Who we are?
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. Everything we do starts and ends with the patient. And, while changing the future of chronic disease treatment, such as diabetes and obesity, 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. Our competitive compensation package and support of a healthy work-life balance all add to a best-in-class employee experience.
The Position
Recognized as a key leader in Novo Nordisk’s Data Science efforts, the Director of Data Solutions Engineering will drive activities in supporting multiple AI and Analytics research teams. These responsibilities will include bringing elements of appropriate data architecture and engineering to develop custom data solutions for various analytical projects across a multitude of different data modalities, including real world data, imaging, omics, devices and more. The individual will be a recognized expert in AI and ML systems, tools, approaches and technologies for a variety of applications and datasets, including cloud engineering, software engineering, and AGILE development practices. The Director of Data Solutions Engineering acts independently as a leader, framing and driving innovation and project initiatives, aligned with the leading Corporate Vice President and collaborating closely with other AI/ML peer leaders. The Director leads a team of individuals to deliver on a portfolio of projects across multiple therapeutic areas and data modalities covering multiple drugs across all phases of development. These projects will deliver custom data solutions leveraging and integrating data from a multitude of internal systems, data stores, data lakes and platforms. The Director leverages their domain knowledge in data engineering and algorithm development, as well as potential prior leadership experience, to ensure their team is developing and delivering solutions representing the latest state of the art in data engineering. The Director not only guides the team in the development of efforts which have a global impact on Novo Nordisk’s efforts in this area, but moreover is responsible for department budgets, recruiting, and other leadership activities. Furthermore, the Director will actively coach more junior colleagues in both professional development and project execution, setting technical direction and influencing the progression of initiatives across team boundaries. The Director is perceived as an expert across the EVP area, anticipates internal and/or external business challenges and issues, and drives innovation in their field of expertise. Solves unique and complex problems that have a broad impact on the business.
Relationships
The Director Data Solutions Engineering reports to the relevant Corporate Vice President (CVP) in the global Data Science function. Internal partners include other team leaders in the specific CVP area, as well as more broadly in Data Science. Furthermore, key partners and stake holders include global clinical, medical and biological experts, colleagues in IT, and other experts across US and Denmark. External relationships include relationships with commercial and academic collaboration partners.
Essential Functions
- Recruit, manage and lead a global team to develop AI and ML solutions
- Drive implementation of data science best practices within the team
- Collaborate across various data science, ML, AI, imaging, bioinformatics, real-world evidence and other research teams to build modern data solutions
- Interface with business partners to lead architecture and development of enterprise cloud-based data solutions and pipelines that feed into data science projects
- Collect relevant data elements and implement data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity
- Be a company-wide influential thought leader across Novo Nordisk globally for identification and implementation of evidence-based solutions using data science.
Physical Requirements
5%-20% overnight travel required.
Development of People
Responsible for developing and ensuring appropriate career mentoring for positions reporting in.
Qualifications
- Master’s degree or PhD preferred. Degree within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline is preferred
- Master’s Degree with 8+ years’ relevant experience, or PhD with 6+ years’ relevant experience. Minimum of Bachelor’s degree with 10+ years’ relevant experience can be considered
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Relevant experience includes
- Building data warehousing solutions, integrating services, and building ETL pipelines for various data science and business needs
- Gather/organize large & complex data assets, recommend appropriate data models for different needs and implement systems for data ETL, audit, QC, governance, and optimized consumption
- Ensure high availability, scalability, latency, governance, reusability, consistent and security in implemented systems
- Partner with business owners, data scientist, engineering, and IT understand business needs, translate into technical specification, and prioritize implementation plan
- Ensure the quality of the data in coordination with data analysts, data scientists and business partners (peer validation)
- Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions
- Experience developing and deploying ML solutions in cloud environments such as AWS, Azure, or Google Cloud
- Experience mentoring and/or building a team of engineers
- Experience working with data science teams with conceptual knowledge on data science project lifecycles and techniques
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Preferred experience includes
- Expertise of Diabetes, Obesity, or other Novo Nordisk portfolio-related disease states along with the molecular and physiological role of drug, food, and other factors relating to the diseases. Preferred, but not required
- Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field
- Experience in leading and managing junior colleagues
- 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 Real World Data (e.g., EHR, Claims), standard data models (e,g, OMOP, FHIR), clinical data models (e.g., SDTM, Adam), and others preferred
- Experience with CI/CD, basic ETL practices such profiling, cleansing, transforming, developing and documenting data structures, schemas and dictionaries
- Working knowledge of scripting languages (Python, R, Scala, Julia a plus)
- Experience working within compliance (e.g.: quality, regulatory – data privacy, GxP, SOX) and cybersecurity requirements is a plus
- Demonstrated ability to generate valuable and relevant ideas, create concepts based on ideas, and develop new products based on concepts
- Ability to set data science project metrics and drive activities to meet those metrics
- Ability to set a department budget, and maintain activities within financial targets
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.
Novo Nordisk requires all new hires to be fully vaccinated against COVID-19 prior to the first date of employment. As required by applicable law, Novo Nordisk will consider requests for reasonable accommodation.
If you are interested in applying to Novo Nordisk and need special assistance or an accommodation to apply, please call us at 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
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