Are you passionate about science and research but seek more practical applications?Do you know how to turn data into knowledge?Are you eager to learn new things and implement your own ideas while working with an international and passionate team of professionals?Join us to contribute to digital research solutions that impact healthcare and science, supporting researchers in their daily work!Your future roleCollaborate with partners at the Hasso Plattner Institute in Potsdam, the Icahn School of Medicine at Mount Sinai in New York, and our development team in Singapore.Design and implement a framework for secure annotation of radiology images by writing maintainable, well-tested code following best practices.Assist in designing machine learning pipelines to support partners in training and testing models on structured and unstructured data securely and efficiently.Handle transformation steps of ETL pipelines for data integration from various sources into our common data model.Enhance understanding of the OMOP Common Data Model, a global standard for observational health data.Collaborate with research institutions to summarize scientific progress and present findings at international conferences.What you need to succeedA university degree in Computer Science, Data Science, Machine Learning, or a related field.At least 2 years of software development experience (Golang experience is a plus) and familiarity with SQL.Interest in deploying and managing machine learning models; experience with frameworks like scikit-learn, PyTorch, TensorFlow is a plus.Experience with frameworks for ML pipelines and lifecycle management is desirable.Experience in designing ETL pipelines, with frameworks like Prefect, NiFi, or Airflow being advantageous.Experience in scientific publishing and conference presentations; a Ph.D. is a plus but not required.Ability to grasp complex issues quickly, structure, and present them effectively.Willingness to mentor junior engineers and participate in reviews.Fluent in English, both written and spoken.Why you will love working with usContribute to developing digital solutions that make health data research-ready.Work in a nonprofit environment with a meaningful purpose: making the world healthier.Join a diverse, international team across three locations: Potsdam, Berlin, and Singapore.Enjoy work-life balance with flexible hours, 30 days paid vacation, and various work models (hybrid, office).Option to work remotely abroad for up to 2 months/year in GDPR-compliant countries.Access discounts through our partner “corporate benefits”.Participate in knowledge-sharing events like “all hands,” “town hall,” and “Knowledge4Life”.Engage in employee initiatives such as climate and DEI programs.Good to knowWe welcome applicants from diverse backgrounds, including LGBTQI+, migrants, people of color, and those with disabilities or chronic illnesses.Support and accommodations are available during the application and interview process upon request.Please include your CV, motivation letter, references, salary expectations, and earliest start date with your application.About usData4Life is a nonprofit aiming to make the world healthier by digitizing health research. Our international team in Potsdam, Berlin, and Singapore links technology and research to make health data accessible, secure, and comprehensive. Founded in 2017 and funded by the Hasso Plattner Foundation, we promote diversity, equity, and inclusion, and are climate-neutral since 2019. #J-18808-Ljbffr