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Description:
Invert is a company focused on reducing the cost and time of using biology for manufacturing various products.
The company provides tools for automating the design, execution, and analysis of bioprocessing work.
The Data Science team is responsible for developing groundbreaking applied research solutions in bioprocessing.
As a Staff Data Scientist, you will lead the development of models and algorithms tailored to bioprocess data.
Your responsibilities include selecting and applying appropriate models, preparing datasets, and identifying opportunities for foundational model development.
The role involves hands-on work, producing reproducible and well-documented research, and delivering models that enhance speed and product for customers.
Requirements:
You must possess exceptional problem-solving skills and a deep understanding of data science methodologies.
A track record of leadership and vision in the bioprocess industry, including published research, is required.
Effective communication skills are essential to ensure timely information dissemination.
You should demonstrate innovation by consistently bringing new ideas to improve bioprocess outcomes.
Taking ownership and accountability for team success is a must.
Proficiency in time series forecasting, optimization, neural networks, feature engineering, statistical techniques, linear algebra, hybrid modeling, fluid dynamics, adaptive experimentation, and Bayesian methods is required.
You should be able to deliver high-quality results with a focus on velocity and act in the company’s best interests.
Benefits:
The position offers the opportunity to work in a high-growth startup with impactful work.
It is a fully remote role, accommodating team members across US and European timezones.
Competitive salary, equity, and benefits are provided.
You will receive a new laptop, monitor, and accessories of your choice.
The company organizes frequent team off-sites.
Unlimited paid time off (PTO) is available.
Apply now
Please, let Invert know you found this job
on RemoteYeah
.
This helps us grow 🌱.