Pacmed

At Pacmed we build decision support tools for doctors, based on the analysis of vast volumes of medical data. Using Machine Learning, this software presents doctors the expected outcomes of different treatments, based on the results of the treatment of similar patients in practice. Pacmed resulted from the Dutch National ThinkTank 2014 on Big Data for societal benefits and is now a fast-growing AI start-up that won multiple awards and, more importantly, has a lot of traction in Dutch health care. Many General Practitioners are using our software and we are developing machine learning algorithms in Oncology, Cardiology, Psychiatry and at the Intensive Care Unit. Pacmed’s team consists of machine learning and medical experts working together from our office in the amazing FreedomLab campus at the Plantage Middenlaan in Amsterdam

Pacmed Amsterdam, Nederland
nov 26, 2019
Student Employee
Pacmed At Pacmed we build decision support tools for doctors, based on the analysis of vast volumes of medical data. Using Machine Learning, this software presents doctors the expected outcomes of different treatments, based on the results of the treatment of similar patients in practice. Pacmed resulted from the Dutch National ThinkTank 2014 on Big Data for societal benefits and is now a fast-growing AI start-up that won multiple awards and, more importantly, has a lot of traction in Dutch health care. Many General Practitioners are using our software and we are developing machine learning algorithms in Oncology, Cardiology, Psychiatry and at the Intensive Care Unit. Pacmed's team consists of machine learning and medical experts working together from our office in the amazing FreedomLab campus at the Plantage Middenlaan in Amsterdam What will you do? As a Data Engineer at Pacmed you will make sure that Machine Learning models add value to everyday life in Hospitals and General Practices. You will provide the Data Science team with the proper environment to develop models by (for example) building a Data Lake or setting up a Data Warehouse. When models are ready to be used in production, you will take care of the implementation in different kinds of environments. Important aspects of the Data Engineer job include: Ensure an end-user (typically a doctor) will have access to Machine Learning predictions models by building software solutions that either run in a cloud platform, or on the clients private servers Build data lake and data warehouse solutions to streamline the development and training / testing of our Machine Learning models Ensure that running models are properly monitored Ensure that data and predictions provided by running models are properly ingested back into our data-solutions Help to choose between an Object-Oriented, Functional Programming or Event-sourcing approach for different projects Interns or student employees will assist the Data Engineers at Pacmed with one or more of such projects. As an intern there is also the opportunity to write your Master's thesis at Pacmed. In this case we will choose an appropriate project together with you and your supervisor. What do you get? A lot of opportunity for personal development (e.g. development Fridays, soft skills trainings, budget for online courses, visiting conferences). You get the opportunity to learn a lot from experienced Data Engineers and Data Scientists. You work together within a vibrant community of experienced data scientists & engineers and leading technical and medical academics. You work in an environment where we continuously ensure that our software is of production-level quality through Merge Requests, code review and unit- and integration testing. You work closely together in an enthusiastic and ambitious team, dedicated to make health care smarter and better. A dynamic working environment where fun at work is very important. An office at the FreedomLab campus, including unlimited coffee & snacks, Friday drinks, ping-pong competitions and a great location in the heart of Amsterdam Requirements Essentials Master's degree in Computer Science or similar study (or currently studying). Programming experience in Python (and knowledge on object-oriented software design) Basic knowledge of and interest in Machine Learning Bonus Experience with distributed systems, preferably with Hadoop and Apache Spark Experience with streaming data, preferably in Apache Kafka Experience with NoSQL storage like ElasticSearch, Cassandra or HBase Experience with building Data Lakes and Extract-Transform-Load (ETL) pipelines Programming experience with Scala or Java Experience with Docker / Kubernetes Understanding and speaking Dutch is preferred but not required Do you want to join us in our mission? Apply via the apply button !
Pacmed Amsterdam, Nederland
nov 26, 2019
Internship
Job description As a Data Science intern at Pacmed you directly contribute to Pacmed's mission: making healthcare more personal and precise with advanced machine learning and statistics. At Pacmed we offer two kinds of internships. The first is a  feasibility study  internship. In such an internship you will be responsible for developing a prediction model for a new medical problem. You will be responsible for preprocessing the raw medical data, training and testing a prediction model and regularly interacting with medical experts. Examples are: C an we predict the outcome of different treatment options for prostate cancer ?  Can we predict which patients safely can be taken off mechanical ventilation at the ICU? The second type of internship is a  research internship . In such an internship you will be responsible for advancing the models that are already developed at Pacmed, by applying novel machine learning techniques. Examples are  How can we better quantify uncertainty in predictions through the use of bayesian neural networks? W hat is the best way to model causal effects using observational data? How can we improve the interpretability of our machine learning models? How can we create data visualisations that are most effective when communicated to medical practitioners? We are looking for a student that is fluent in Python and has practical machine learning experience. You should be able to quickly up your game to match the knowledge level of our team of experienced data scientists, and have the skills to advance our knowledge and use of advanced machine learning and statistics even further. Requirements The ideal candidate for this position is: a student (MSc or PhD) in computer science, artificial intelligence, econometrics or applied mathematics experienced in applying advanced machine learning and/or advanced statistics to real-world problems fluent in python and able to develop production-ready python code driven by a societal purpose and excited about improving health care enthusiastic about writing their thesis in a dynamic start-up environment  currently living in the EU available for at least 4 months (full-time) starting around February 2020 an extra requirement for the data visualisation topic is experience with or talent for graphic design Please visit  https://medium.com/@Pacmedhealth  for concrete examples of projects you could be doing at Pacmed or sign up via the apply button!