Senior AI Researcher in Constanţa

Kubernetes (nice to have) Docker (nice to have) PyTorch (junior) Computer Vision (advanced) Machine Learning (advanced) Deep Learning (advanced) AI (advanced) Python (advanced) We believe that integration of AI in the early-stage drug discovery process can significantly reduce cost & time, and improve the likelihood of success. We integrate the most recent advancements in AI (computer vision & AI-chem) with molecular biology and medicinal chemistry bridging the gap between cell imaging and the design of the desired small molecules. We develop AI Technology Platform enabling the identification of small molecule drug candidates changing the disease to a healthy state We are seeking a highly motivated and resourceful person to join our Biomedical Imaging Business Unit as an Senior AI Researcher. This opportunity is well suited for those who are passionate about machine learning and would like to leverage their skills to solve complex problems in precision medicine. Key duties and responsibilities Working in a multidisciplinary team including computer vision experts, cheminformaticians, molecular biologists, software engineers, and DevOps engineersDesigning and applying methods based on machine learning and deep learning to solve various problems in precision medicine such as multimodal prediction and information retrievalImplementing and deploying machine learning models using Python (using frameworks such as PyTorch, PyTorch Lightning, scikit-learn, and others)Staying up to date with current research and methodology on applying machine learning and deep learning to life sciences Requirements MSc in computer science, mathematics, statistics, physics, cheminformatics, computational biology/chemistry, or a related fieldAt least four years of a commercial or academic experienceHands-on experience in projects using methodology from various areas of data science: deep learning, machine learning, computer vision, statistical learning, data mining, or natural language processingWorking knowledge and intuition on statistical and machine learning methods and concepts (self-supervised learning, multimodal problems, information retrieval, regression, classification, validation procedures, etc.)Programming skills in Python and good programming practicesExperience with distributed version control systems (Git or equivalent)Good written and verbal communication skills in English (at least the B2 level) You get bonus points for Life Science knowledge or experience in projects in that domainPublications on the international conferences (e.g. NeurIPS, ICML, CVPR, ICCV, ECCV, AAAI, WACV, ECML PKDD, ICCS etc.) or journals of an equivalent rankStatistical competence (such as Bayesian inference, uncertainty estimation, significance testing, etc.)Experience with deep learning libraries (PyTorch, PyTorch Lightning, etc.)Experience with Docker, Kubernetes or similarExperience in working along the principles of Agile/Scrum We offer An opportunity to shape the breakthrough solutions in the fight against cancerPermanent position that can be adjusted to your preferences in terms of employment form ("UoP"/B2B)Hybrid working model Flexible working hoursMultisport Card, Private Healthcare (LuxMed), Life Insurance Yearly bonus up to 20% of your annual income Clearly defined career paths, funding for professional development, trainings and conference attendanceMentoring programInternal libraryKnowledge sharing sessions, company events, meetups, webinars, activity groups (professional, sports, hobbies)By cooperating with a non-profit Foundation #CodeAgainstCancer we have a real impact in helping children with cancerWork with world-class companies and institutions on the cutting-edge of Life Science industryExperts community of tech specialists, scientists and people with passion for their craft


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