Lead Data Scientist - AI and Machine Learning

Facility:  Information Technology & Telecom
Location: 

Lexington, MA, US

About the Department                                                                                                                                             

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 Position

The Lead Data Scientist will contribute to the research team’s effort towards exploring and creating new technology and being a world leader in data science within our fields. The Lead Data Scientist will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context, specifically in the applications of AI and Machine Learning (ML) approaches. Moreover, the Data Scientist will, with guidance from more senior Data Scientists, contribute to the development and validation of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, and work closely with other engineers to build AI/ML-fueled products. 

 

***Please note we are open to hiring at more senior titles commensurate with experience***

***Open to considering our office based in Seattle, WA as a work location***

 

Relationships

The Lead Data Scientist reports to the head of the related research area. Internal partners include data scientists, specialists, engineers, software developers, technology scouts & partnership developers, system engineers, designers, anthropologists, medical doctors, IT professionals, and others across US and Denmark.  External relationships include commercial and academic collaboration partners. 

 

Essential Functions


Scientific work:

  • A sound understanding of various statistical and ML approaches with experience applying those techniques to solve complex problems
  • Experience developing and validating algorithms using various statistical/AI/ML approaches
  • Implement and maintain local and cloud-based data and computational environments and platforms and help to integrate data and solutions from different sources
  • Build data pipelines (data acquisition, preparation, cleaning, feature extraction, and consolidation) as an integral part of data science activity
  • Demonstrate an ability to take initiatives and drive projects from concept to adoption 
  • Articulate and manage technical execution from concept to completion
  • Engage with stakeholders to understand challenges, identify areas of innovation, and build solutions using appropriate techniques 
  • Demonstrate and visualize how AI/ML methods works as an integral part of data science activity
  • Actively collaborate with other Data Scientists, as well as engineers and/or scientists from other disciplines 

Collaborative teamwork

  • Actively participates in cross-functional teams to develop AI and ML solutions
  • Actively participates in virtual global team meetings regularly
  • Achieves business goals, shares learnings, knowledge and skills and promotes cross-functional teamwork
  • Occasionally collaborate with external partners
  • Prepare and present written and oral reports and proposals to peers and management

 

Physical Requirements

10-20% overnight travel required.

 

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 5+ years’ relevant experience, or PhD with 4+ years’ relevant experience can be considered.  Minimum of Bachelor’s degree with 8+ years’ relevant experience required.
  • Relevant experience includes:
    • General experience in modern data science methods including unsupervised/supervised classification and regression, modern machine learning techniques and classical statistical modeling or applied mathematics
    • Experience with software development which includes writing high quality code processing data using Python/R.
    • Thorough understanding of text pre-processing and normalization techniques such as tokenization, lemmatization, stemming, POS tagging, parsing, entity extraction, etc. and how they work at a low level
    • Experience applying modern NLP approaches such as BERT and other transformer models, along with sequence models for semantic analysis, text extraction, prediction and generation tasks 
    • Experience decoding complex models for interpretability and implementing multi-modal solutions
    • Ability to perform in-depth data analysis and present results and conclusions to engineering and leadership team
  • Preferred experience includes:
    • Experience working with structured and unstructured data from diverse sources
    • Experience with containerization and standard cloud services such as AWS S3, EC2, and Lamba Function.
    • Experience in data management, database management system, and familiarity with NoSQL and/or Graph database.
    • Working experience in Software Development Lifecycles, agile methodologies, and continuous integration
    • Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field.

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.