Senior Scientist Microscopy/Biology with experience in Machine Learning - Remote, Eastern, US or Toronto

We are looking for a Senior Scientist in Life Science with expertise in microscopy and experience in machine learning. In this role you will have a strong,g background and knowledge of cell biology/cell physiology, biochemistry and some demonstrated experience in data science and machine learning concepts.

Sartorius is seeking a Senior Machine Learning Applied Scientist to expand our Corporate Research team.

Location: Remote, Eastern U.S. or Toronto with travel to Ann Arbor, MI and Marlborough, MA

Our passion is to simplify and accelerate progress in life science and bioprocessing research, enabling the faster development of new and better therapies.

As an applied machine learning scientist, you will use your expertise in modern computer vision methodology to improve world-leading Sartorius imaging products routinely used by major companies across the life science and biopharmaceutical industry.

Working with Sartorius you will have unique access to large-scale, annotated and high-quality biological/chemical datasets across many different data domains in bio-analytics and bio-processing, including live-cell imaging, multi-plex cell and protein analysis as examples.

You will join a world-class talented team of interdisciplinary researchers developing state of the art ML tools where your personal drive and focus make a real difference and significantly contribute to simplify progress for our customers, from molecule developability to production for better health at global scale. We are looking forward to your contribution.

What you will accomplish together with us:

• You will design and lead technical/applied research projects to achieve goals laid out in our Research and Technology Roadmaps
• You will evaluate relevant state of the art knowledge for business potential and translate into project and existing product/technology areas
• Use your knowledge and abilities to build prototypes using state-of-the-art machine learning tools for the life sciences in the applications of computer vision, sequence analysis and omics analysis
• One of your tasks will be to implement data science-best practices for developing and deploying high-quality reliable machine learning-solutions
• On a regular basis, you will advise project leads and upper management on project status
• One of your tasks will include working with a global team on respective technology areas
• Maintain and build strong relationships with internal and external collaborators

What will convince us:

• You have completed a Ph.D. in Computer Science, Machine Learning, Biotech, Engineering, Physics, or related disciplines/equivalent research experience, preferably with a focus on life science or biotechnology applications
• You possess 2+ years of experience in industry using modern deep learning frameworks (such as PyTorch or Tensorflow) and with modern computer vision methodology (Object Detection/Tracking or 3D reconstruction)
• You have a minimum of 2+ years of experience working with real world data is required, experience working with microscopy images is a plus
• Strong programming knowledge in Python is required, including knowledge of common data science tools such as Numpy, Pandas and Matplotlib, and version control using Git.
• Working knowledge of either machine learning management systems such as Azure ML, machine learning workflow-engines such as MLFlow/Airflow/Metaflow, or data storage, databases, and structure for large data volumes

We Value:

• Conceptual and creative thinker
• Excellent organizational and communication skills (both written & verbal) are essential to meet the requirements of this role.
• Identification with our core values: Sustainability, Openness, Enjoyment.

Base salary offered for the position is $140,000.00 - $170,000.00 depending on experience. (Higher starting salaries may be available in other locations based on geographic differentials.)

What We Offer

As a growing global life science company, with our stock listed on the German DAX and TecDAX , Sartorius offers a wide range of benefits:
Personal and Professional Development: Mentoring, leadership programs, LinkedIn Learning, internal seminar offerings
Worklife Balance: Paid vacation, sick time, corporate holidays and community service day; as well as flexible work schedules
Making an Impact Right from the Start: Comprehensive onboarding, including a virtual online platform
Welcoming Culture: Mutual support, team spirit and international collab