Data Scientist II - image analysis

Full Time
Lexington, MA
Posted
Job description

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. 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.


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


The Position

The Data Scientist – Image Analysis 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 Data Scientist will bring elements of data collection, preparation, and engineering as well as software engineering in a data science context. Moreover, the Data Scientist II 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.


As Data Scientist – Image analysis you will develop and validate algorithms based various computer vision approaches in the medical image analysis space; and implement and maintain local and cloud-based data and computational environments and platforms to enable the work. You will perform data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity; and utilize AI/ML to develop complex methodologies and analyses, all around various medical imaging modalities . The Data Scientist – Image Analysis will collaborate with other Data Scientists, as well as engineers and/or scientists from other disciplines to complete daily tasks and will also collaborate with other data scientists to design, code, train, test, deploy, and iterate on machine learning systems. Furthermore, you will occasionally show initiative in recognizing and addressing unmet patient needs using data.


Relationships

The Data Scientist II reports to the Director of AI Imaging . 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
    • Develop and validate algorithms based on insert relevant research area focus
    • Implement and maintain local and cloud-based data and computational environments and platforms and help to integrate data from different sources
    • Perform data pipelines (data acquisition, preparation, cleaning, and consolidation) as an integral part of data science activity
    • Collaborate with other Data Scientists, as well as engineers and/or scientists from other disciplines to complete daily tasks
    • Collaborate with other data scientists to design, code, train, test, deploy, and iterate on machine learning systems
    • Occasionally demonstrates initiative in identifying and addressing unmet patient needs using data
  • 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

0-10% overnight travel required.


Qualifications

  • Bachelor’s degree required. Master’s degree preferred. Degree within computer science, mathematics, engineering, physics, statistics, or a related quantitative discipline is preferred
  • A Bachelor’s degree with 3+ years’ relevant experience required or Master’s Degree with 1+ years’ relevant experience can be considered
  • Relevant experience includes:
    • Hands-on experience with deep learning for computer vision using deep/machine learning frameworks like TensorFlow, PyTorch, Sklearn, etc.
    • Experience with modern software development toolset (CI/CD, AWS, git, JIRA) which includes writing high quality code processing vision/imaging data using Python.
    • Strong understanding of deep learning theory: CNN, Transformers, RNN, GANs etc. and its various applications: classification, object detection, segmentation, etc.
    • Ability to develop and validate algorithms against clinical data, ensuring appropriateness of fit for data science processes
    • Ability to perform in-depth data analysis and present results and conclusions to engineering and leadership teams.
  • Preferred experience includes:
    • Experience in medical image analysis in multiple medical imaging modalities (X-ray, US, MRI, CT, Digital Pathology) is highly preferred.
    • 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.
    • Experience in pharmaceutical industry, healthcare industry, regulated medical device development or in another regulated field
  • 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.


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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