(Senior) Software and Data Engineer
vor 3 Monaten
Hi there
Are you passionate about science and research but look for 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?
Then join us and contribute to digital research solutions that have a meaningful impact on healthcare and science in order to support researchers in their day-to-day work
Your future role
You will work closely with our 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. You will design and implement a framework for secure annotation of radiology images by writing maintainable and well-tested code following best practices. You will help to design machine learning pipelines that support our partners in efficiently and securely training and testing machine learning models on structured and unstructured data. You will be responsible for the transformation steps of ETL pipelines for data integration from different sources into our common data model. You will grow your understanding of the Observational Medical Outcomes Partnership (OMOP) Common Data Model, a globally used standard for representing observational health data. You will collaborate with our partner research institutions in summarizing scientific and technological progress in research reports and publish and present them at international conferences.
What you need to succeed
You have a university degree in Computer Science, Data Science, Machine Learning or a similar field. You have at least 2 years of experience in software development (experience in Golang is a plus) and are familiar with SQL for processing structured data. You have a strong interest in deploying and running machine learning models. Experience with standard machine learning frameworks (scikit-learn, pytorch, tensorflow) is a plus. Ideally, you have some experience with frameworks for machine learning pipelines and lifecycle management. You have experience in designing and writing ETL pipelines, experience with frameworks such as Prefect, NiFi or Airflow is a plus. You have experience in writing and publishing scientific papers and presenting them on conferences, a Ph.D. is not required but a plus. You grasp complex issues quickly and are able to structure and present them. You are happy to mentor Junior Engineers and participate in design and code reviews. You are fluent in English (written and spoken).
Why you will love working with us
Active contribution to developing digital solutions and making health data ready for research. Nonprofit work with a clear purpose: Make the world a healthier place. With us, you will find a fulfilling and meaningful task in a nonprofit environment that will advance our society. A diverse and international team of professionals working together at 3 locations (Potsdam, Berlin and Singapore). Real work life balance with flexible working hours, 30 days of paid vacation, and various work models (hybrid, 100% office). The option to work abroad remotely up to 2 months per year in GDPR compliant countries, depending on your role and responsibilities. Numerous discounts, for retailers, travel and much more through our partner “corporate benefits”. Regular knowledge transfer through “all hands” and “town hall” meetings and knowledge sharing events (“Knowledge4Life”). Employee driven initiatives like the climate initiative and the DEI (diversity, equity,& inclusion) initiative where every new colleague is welcome to participate.
Good to know
We especially welcome applicants from the LGBTQI+ community, people with a migration background, people of color, and individuals with disabilities or chronic illnesses to the team. If you need support or special assistance during the application or interview process due to a disability, please feel free to let us know and we are happy to accommodate you as much as possible. Please enclose your complete documents (CV, letter of motivation, references, salary expectations and earliest possible starting date) with your application.
About us
Data4Life is a nonprofit organization with the vision of making the world a healthier place. With an international team, we work together on the mission to digitize health research. By linking technology and research, we make health data available to research in a comprehensive, digital and secure way. Our interdisciplinary team in Potsdam, Berlin and Singapore brings together experts from fields such as product development, digital engineering, data security and science. Data4Life was founded in 2017 and is funded by the Hasso Plattner Foundation.
We care about
Diversity: Many different lives, careers, and development paths lead to Data4Life. We welcome experts from a wide range of backgrounds and experiences to our international team, offering everyone equal opportunities to be themselves and develop to the best of their abilities. Diversity, equity, and inclusion are not just nice words at Data4Life – we put them into practice in all of our activities and projects, striving to incorporate them in our everyday lives. For this reason, we signed the Charta der Vielfalt (Diversity Charter) in 2022.
The Climate: Data4Life is a member of the Leaders for Climate Action community and climate neutral since 2019.
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