Senior Data Scientist / Data Science Engineer

Novonesis•Morrisville, VT

21h•$100,000 - $140,000•Hybrid

About The Position

Interested in a career that matters? Join our Digitalization team in Planetary Health Biosolutions Application Research, where digital platforms are built side by side with scientists. This is an applied, hands‑on role focused on shaping how data is captured, structured, and used in real research environments—transforming scientific workflows into scalable digital foundations that drive better decisions and faster innovation. Working in a creative and international scientific environment, you’ll help strengthen our in‑house data science platform and fully leverage our global tech stack spanning cloud, HPC, and in‑house platforms. If you’re motivated by building meaningful digital solutions in the life sciences space, we’d love to hear from you. The Role & Your Impact In this role, you’ll contribute directly to the digital transformation of our scientific application research processes. You’ll work closely with global research teams to understand workflows, capture high-quality data, and build robust and scalable solutions that advance scientific insight and decision-making. Beyond delivering solutions, you’ll play an important role in strengthening digital and data capabilities in the research areas you support—helping teams work more structured, scalable, and data‑driven over time.

Requirements

Degree in Computer Science, Data Science, Engineering, Bioinformatics, or similar.
Solid, documented experience with Python programming
Strong understanding of programming principles, including software design and unit testing
Ability to work independently and take ownership in a research‑driven, evolving problem space
A collaborative mindset and enthusiasm for teamwork in a hybrid and cross-functional setting
Comfort working in an agile team environment

Nice To Haves

Experience improving or contributing to data science stacks (Python, R, databases, app development)
Proficiency with Git or other version control tools
Experience with statistical analysis or ML tools (R, Python, SAS JMP, etc.)
Background in lab automation or experience working in a scientific or development team environment

Responsibilities

Owning and evolving existing digital solutions, balancing long‑term quality with new development
Improving and supporting data processes and digital solutions across our application research workflows
Building and maintaining web and data infrastructure components supporting scientific teams
Delivering scalable and reliable solutions using a mix of internal and external software components
Collaborating with digitalization teams across Novonesis to support strategic transformation goals
Developing tools enabling structured (meta) data capture and FAIR data practices