Your TasksYou are responsible for developing, implementing, and operationalizing scalable, production-grade data pipelines for the ingestion, cleaning, transformation, and structuring of large-scale clinical and biomaterial datasets, including but not limited to genomics, proteomics, imaging, and histology dataYou develop scalable pipelines to standardize, harmonize, and integrate clinical data using established common data models, ontologies, and controlled vocabularies to ensure interoperability and analytical consistency across datasetsYou conduct innovative and translational research aimed at identifying novel biomarkers for disease diagnosis, prognosis, patient stratification, and therapeutic responseYou lead the development of predictive and prescriptive machine learning algorithms to support clinical decision‑making, optimise treatment pathways, and improve patient‑level outcome predictionYou translate machine learning prototypes and research concepts into scalable, robust, and commercially viable solutions in close collaboration with product, engineering, clinical, and commercial stakeholdersYou work closely with wet‑lab biologists, bioinformaticians, clinicians, and clinical researchers to design experiments, define data standards, interpret results, and translate computational findings into clinically actionable insightsYou communicate complex data behaviours, methodological constraints, and analytical insights clearly and effectively to a wide range of stakeholders, thereby influencing strategic decisions in R&D, translational science, and product developmentYou ensure the scientific rigor, technical robustness, and reproducibility of all computational analyses while adhering to data governance, cybersecurity, privacy regulations, and compliance requirements in the handling of sensitive clinical and biomedical datasetsYour BenefitsYou benefit from flexible home‑office options, with the possibility of working up to 100% remotely after the onboarding periodYou receive 30 days of annual paid vacationYou benefit from a subsidy for the Deutschlandticket as well as the opportunity to participate in a JobRad bicycle leasing programYou have access to an on‑site staff restaurant and bistroYou receive a subsidy for lunch mealsYou benefit from internal and external training and professional development opportunitiesYour ProfileYou hold a university degree or a Ph.D. in a quantitative field such as Bioinformatics, Computational Biology, Computer Science, Artificial Intelligence, or a related disciplineYou bring solid experience in applying modern machine learning methods to complex biological and clinical datasetsYou possess expert‑level proficiency in Python as well as extensive experience with common machine learning and deep learning frameworksYou have a deep understanding of statistical methods and the theoretical foundations of machine learningIdeally, you can demonstrate a strong scientific publication recordIdeally, you have experience working with bioinformatics databases, tools, and data formats, as well as with clinical trial and biomaterial‑related datasetsYou ideally bring knowledge of drug discovery, development processes, or personalised medicineIdeally, you have experience working in regulated environments and possess a strong understanding of data privacy and data security principlesTechMinds GmbHTechMinds is an HR consultancy with a main focus on Tech & IT.Your advantage: Through us, your application documents are sent directly to the decision maker. In addition, you benefit from free advice on all your career questions. And you get an authentic insight into the daily work routine of your potential employer at an early stage.Your ApplicationPlease send us your application via the following application button or by email to bewerbung@techminds.de.We will only present your application documents to our client if we have your consent. #J-18808-Ljbffr