Continuously improve processes by finding creative ways to solve data and analytics challenges and quickly adopting new technologies.
Work closely with global teams to identify opportunities and deliver solutions that make data more accurate and operations more efficient.
Lead projects from start to finish, helping design experiments, analyze results, and implement improvements.
Build and manage systems that move and organize data from lab tools and cloud platforms so it’s easy to access, reliable, and fast.
Create dashboards and reports that show key performance indicators and help teams make better decisions.
Develop and maintain AI tools that predict issues, detect anomalies, and improve scheduling, while ensuring they run smoothly and stay accurate.
Explain technical concepts clearly and train others on how to use dashboards and AI tools to support data-driven decisions.

Bachelor’s or Master’s degree in a relevant field such as biology, data science, bioinformatics, genomics, or computer science (or equivalent experience).
Understanding of genomics and genotyping platforms and the ability to learn detailed processes.
Preferably has experience working with genetic or genomics datasets.
Strong problem-solving and critical thinking skills to tackle complex challenges.
Ability to lead projects and work with teams to drive improvements.
Experience working with data using tools like R or Python; comfortable handling large datasets.
Ability to work with databases and use SQL to find and summarize information.
Skilled in creating clear and useful data visualizations.
Familiarity with AI and machine learning tools and techniques for building and evaluating models.
Knowledge of cloud platforms and modern deployment tools.
Understanding of best practices for managing AI models over time.
Experience in at least one advanced AI area, such as language processing, image analysis, or generative AI.
Strong foundation in math and statistics for data analysis and AI.
Bonus: Experience with tools for building data pipelines (e.g., Spark, Databricks, Airflow).
Ability to work independently and manage time effectively.
Excellent communication and teamwork skills.
A strong desire to learn and excel.

Numerous development opportunities offered to build your skills.
Be part of a company with a higher purpose and contribute to making the world a better place.
Health benefits for you and your family on your first day of employment.
Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays.
Excellent parental leave which includes a minimum of 16 weeks for mother and father.
Future planning with our competitive retirement savings plan and tuition reimbursement program.

AI & BI Data Engineer

Key skills