Therapeutic area knowledge in any of the following would be an advantage: respiratory, inflammatory, cardiovascular - metabolic, CNS, oncology. Computer skills including good knowledge of Microsoft Word, Excel and PowerPoint. Fluent language skills in English. Effective communication, organizational and problem-solving skills.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
We will need you to possess the following essential qualities and skills: Recognized Degree in IT; Computer Science; Software Engineering, Finance, Business Information Technology or relevant fieldsAbove 3.0 CGPA / Second Class upper (Hons)Less than1-yearofworking experienceHighly self-motivated team player with good analytical and conceptual thinking, results-driven with initiative and good negotiation skillsAll rounded individual with adeepinterest inITindustry who enjoys challenges and strive to work with professionals inITindustry globallyAble to quickly absorb professional knowledge, good inproblem-solving, contribution and leadershipEagerness to take responsibilityovercomplex processes and ability to multitaskExcellent verbal and written English WHAT IS THE PLUS POINT (S) ·Experience inself-initiatedprojects Basic programming skills in any programming language WHAT YOU WILL GET FROM US Great team of IT professionals with global working exposureMeal Card and Flexible Benefits – customized according to individual needsOn-going professional and technical training and certificationsA multicultural environment in modern officesChoose any day for your vacation from earned public holiday (Saturday and ad hoc)Smart casual everydayGlobal internal job opportunities available within DPDHLUnlimited Outpatient MedicalHome office possibilities If you are up to the challenge, contact us today and we will ensure that you will have an experience of a lifetime.