Data Scientist

Data Scientist

Arbetsbeskrivning

You will work in a small machine learning-research team to collaboratively explore, implement, and deploy state-of-the-art machine learning (ML)-solutions. Your role will be to bring hands-on data science expertise to our ML research team and help us deliver innovative data-driven solutions to varied problems in the biopharmaceutical industry. As part of a small and multi-disciplinary research-oriented team, you are a flexible and independent minded person who is comfortable with taking own initiatives.
In this role you can work from our office in Umeå or possibly at another Sartorius location or be homebased.
What you will accomplish together with us:
Collaborative exploration with research scientist-colleagues to develop ML-solutions, including but not limited to exploring large-scale datasets, implementing new ML-algorithms, training and evaluating ML models, visualizing, and presenting results to project stakeholders.
Building prototypes and conducting experiments using state-of-the-art deep learning and computer vision
Design and execute effective and efficient technical and analytical experiments
Contributing with data science-best practices for developing performant and reliable machine learning-solutions
Serve as point of contact during technical handover to relevant business units

What will convince us:
BSc or higher in computer science, machine learning, engineering physics or similar field
3+ years hands-on data science experience
Programming knowledge in Python is required, including knowledge of common data science tools such as Numpy, pandas and matplotlib, as well as version control using Git.
Experience in deep learning is required, including programming frameworks such as PyTorch or Tensorflow
Experience in working with image data is required. Experience with microscopic images is seen as a merit.
Experience in 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 seen as a merit.
Ability to communicate results to stakeholders in a pedagogical manner is preferred.
Fluent in English, both written and verbal communication skills.
Creative mindset who loves to search for and implement the latest and greatest technologies

What we offer
Our ambition is to simplify progress in life science research and the biopharmaceutical industry to help translate scientific findings into new therapeutics faster and more efficiently. So that more people can obtain access to better medicine. Nearly 13,000 employees at more than 60 production and sales locations worldwide are committed to this vision. And together, we have grown strongly over the past years. Do you also want to contribute to our vision? Grow with us and benefit from working with a Global Player that has kept its familiar atmosphere:
Opportunity for international career development:
a global network offering seminars and training sessions, expert and manager career paths
Open and highly collaborative culture: mutual support within teams and working as equals, team spirit and international collaboration
Work-life balance: Working from home at many sites
Intelligent working environment: working in smart buildings with the latest technology and equipment
Ambitious goals: Sartorius plans to double its sales revenue approximately every five years and expects to grow its global team to approximately 15,000 people in 2025.
We look forward to receiving your application.
www.sartorius.com/career
We look for employees who would like to grow with us and move the innovative life sciences sector forward. In the process, we focus on agile project work, mutual support within teams and working as equals. Sartorius thrives as a company with people who give their very best every day and who are eager to develop personally and professionally.
Further insights into our world of work can be found at www.sartorius.com

Sammanfattning

  • Arbetsplats: Sartorius Stedim Data Analytics AB UMEÅ
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 2 januari 2022
  • Ansök senast: 1 februari 2022

Postadress

Östra Strandgatan 24
UMEÅ, 90333

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