Scientific Data Engineer - Drug Discovery

Company:
Location: Seattle, WA 98109

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About the Department

At Novo Nordisk Research Center Seattle, Inc. (NNRCSI) our scientists apply cutting-edge technologies to early R&D projects with the goal of bringing real change to People with Diabetes and Obesity. Your skills, dedication and ambition will help change lives for the better and you will work with extraordinary talent, continuously learn and develop, and drive changes to defeat serious chronic conditions. We recognize the importance of an enjoyable workplace, which stimulates a strong culture of ingenuity and innovation and our support of a healthy work-life balance adds to a best-in-class employee experience. As a new focus area, we aim to build up a dynamic computational team, which will leverage structure-based design, computational biology and machine learning expertise to the drug discovery process. Our aim is to strengthen target identification and drug design processes at NNRCSI and through global collaboration across our R&D sites. This team will implement state-of-the-art structural modelling and machine learning technologies to improve functional and biophysical properties of proteins, peptides and new molecular format for future therapies. They will build up bioinformatics expertise spanning areas from sequence analysis, computer vision and different omics and pathway analysis. This team will work in a flexible, cross-functional setting in close collaboration with experimentalists to drive pre-clinical projects with very ambitious scientific goals. They will have external collaborations with academic and biotech partners within computational drug discovery in North America. We are changing lives for a living. Are you ready to make a difference?


The Position

The scientific data engineer will develop software applications and workflows to assist scientists in drug discovery within global research technologies. The position will focus on collaborating with biologists, data scientists, and managers to solve their daily data challenges with research applications e.g., onboarding of instruments and ensure compliance with data infrastructure. The scientific data engineer will be involved in orchestrating and aligning with global scientific IT projects across the organization. The person will identify data engineering and science needs and translate these into agile solutions for scientists, furthermore, ensure effective capture of data and transformation of these into insights. The scientific data engineer will ensure innovative software solutions supporting research as well as maintaining/building out scientific data infrastructure.


Relationships

The scientific data engineer will report to a leader in Computational Drug Discovery and have strong connection with the Director of Research Applications in Denmark. The role will interact with people in various projects as well as departments involved with computational and experimental research as well as scientific applications and IT infrastructure. External stakeholders include commercial and academic collaborators.


Essential Functions

  • Daily tasks include diverse technologies, architectures, and problem domains such as machine learning, high performance computing, workflow orchestration, integration and implementation of scientific application, web services, and cloud computing
  • Integrate in-house software and commercial applications
  • Identify, implement, adapt, and execute in scientific IT application projects
  • Contribute to architecture, security/information models and documentation
  • Map workflows and implement/configure solutions
  • Project management in implementation of research applications
  • Ensure effective capture of data to enable insight analytics
  • Transform developmental workflows and analysis into sustainable production solutions
  • Scientific visualizations of high dimensional data sets
  • Work with diverse data and technologies within research


Physical Requirements

0-10% overnight travel required; 10-20% overnight travel required.


Qualifications

  • Bachelor’s degree required. Degree within data science, computer science, computational biology/chemistry/physics, or other relevant areas preferred
  • 7+ years of relevant experience or master’s degree with 5+ years relevant experience. 2 years’ experience working with implementation, integration, and configuration of scientific applications required. Experience within pharma or biotech preferred
  • Development involving databases (implementation of data models, query construction, integration tasks, and ETL operations)
  • Technical understanding of Oracle, SQL, PL/SQL, .Net and webservice APIs
  • Experience with cloud environments (e.g. AWS, GCP)
  • Experience with setting up workflows from data collection to deployment e.g. Airflow, AWS Batch, Docker, or pipeline pilot
  • Experience with scripting languages e.g. python, R etc. and experience with C#
  • Experience with data acquisition (e.g. gathering, filtering, and cleaning of data) preferred
  • Experience with version control, e.g. Git, and maintenance of code preferred
  • Experience with visualization of high dimensional scientific data preferred
  • Ability to work independently and in teams, and to collaborate with external parties
  • Excellent written and oral communication skills


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 1-855-411-5290. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

*** Mention DataYoshi when applying ***

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