Senior Machine Learning Scientist

Come and join our Corporate Research team at Sartorius as a Senior Machine Learning Scientist.

We are looking for a Senior Machine Learning Scientist to join the Corporate Reserach department at Sartorius. As an applied Machine Learning Scientist, you will use your expertise in modern computer vision methodology to improve world-leading Sartorius cell imaging products routinely used by major companies across the life science and biopharmaceutical industry.

Working with Sartorius you will have unique access and ability to generate large - scale, annotated and high - quality biological datasets across different bioanalytics modalities including live - cell imaging. You will also be directly involved in our collaboration with NVIDIA to accelerate and scale the development of new and better therapies with AI - powered computing platforms and software.

You will join our very talented interdisciplinary and global data science team in Corporate Research that develop AI/advanced data analytics solutions that “moves the needle” in what is currently possible. You are a person driven by curiosity and ability to solve any problem. This combined with a personal drive and focus will result in innovations that make a real difference and significantly contribute to simplify progress for our customers, from drug development to production of biologics that treat life threatening and chronic diseases and brings better health for millions of people. We are looking forward to shaping the future with you.

This position is available full-time, with opportunity to be based remotely in the UK or Germany, with required travel regularly Sartorius relevant sites eg.: Royston near Cambridge or Gottingen in Germany.

**Grow with us - Your Responsibilities**
- 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
- 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**
- 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)
- 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 is desirable
- 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 is desirable
- You describe yourself as a conceptual and creative thinker with excellent organizational and communication skills (both written and verbal)
- You have the ability to work collaboratively with colleagues within a large, matrix - based organization

**What we offer**

As a growing global life science company, 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
- ** Work-life Balance**:Remote options, flexible work schedules
- ** Making an impact right from the start**:Comprehensive onboarding, including a virtual online platform **-** even before joining
- ** Welcoming Culture**:Mutual support, team-spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network
- ** Health & Well-Being**: Wide section of health and well-being support such as healthcare plans and health assessment services

**Royston**

**Benefits**

**Attractive Working Conditions**:

- 37.5 hours working week
- 25 days annual leave, plus public holidays
- Free parking on site
- Annual option to buy, sell or carry forward annual leave
- Free hot and cold drinks
- Regular social events and free exercise classes
- Competitive benefits package, including:

- Group Personal Pension Plan
- Private Medical Insurance
- Private Dental Insurance
- Group Life Assurance
- Group Income Protection
- Cycle to work scheme