Senior Data Scientist - Mechanistic Modeling & Machine Learning - Remote

Overview

In this vital role, you will harness the power of Computational Fluid Dynamics (CFD) and machine learning to develop mechanistic and data-driven solutions for bioprocess optimization, contributing significantly to the biomanufacturing sector.

In Short

• Utilize CFD models to simulate biomanufacturing processes.
• Develop machine learning and computer vision tools for quality control.
• Enhance algorithms using programming languages like Python, C++, and Java.
• Collaborate with cross-functional teams on innovative solutions.
• Manage multiple projects using agile methodologies.
• Build and maintain data pipelines for advanced modeling techniques.
• Contribute to digital transformation in the biomanufacturing sector.
• Work in a collaborative and innovative culture.
• Make a lasting impact on patients' lives through biomanufacturing.
• Participate in a company that values diversity and inclusion.

Requirements

• High school diploma with 10 years of experience, or equivalent educational background.
• Ph.D. in Mechanical Engineering, Chemical Engineering, Data Science, or related field preferred.
• Track record of leading computational and machine learning projects.
• Hands-on experience in code development and computational model development.
• Strong knowledge of machine learning and computer vision concepts.
• Proficiency in coding and ability to write clean, efficient code.
• Experience in building and maintaining data pipelines.
• Prior experience in the biopharmaceutical or biotechnology industry.
• Publication record in relevant peer-reviewed journals is a plus.

Benefits

• Comprehensive employee benefits package including health coverage.
• Retirement and savings plans with company contributions.
• Discretionary annual bonus program.
• Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models, including remote and hybrid arrangements.
• Support for professional and personal growth.
• Inclusive environment that values diversity and ethics.
• Opportunities for career development.