Senior Computational Biologist

Join our team as a Senior Computational Biologist and help us understand and tackle cancer!As a Senior Computational Biologist, you'll join an applied research team modeling the behavior of cancer cells. Our research teams develop and train novel cancer cell models that are used to simulate 100s of millions of samples in our production environment. In a team of a mixture of bioinformaticians and research engineers, you'll have the opportunity to work closely with ML experts and tackle hard, unsolved machine learning problems heavily infused with biology.We use a wide set of models: from random forests to proprietary interpretable models; combined with the latest advancements of graph learning as well. You'll be in a key role to define the types of training data to use and plan their featurization process.Model interpretability is essential in the life of Turbine to ensure mechanistic validity of our cells models.As a bioinformatician you can be a driving force together with research engineers to break up the black box of modern ML methods and design explainable models.Essential skills:process data sources of lab experiments with various readouts - explore, clean and featurize datasets on RNASeq, CRISPR, single cell and spatial techniquesstrong familiarity with omics data processingfundamentals of statisticsfundamental ML knowledge - statistical modeling basics, train/test split, bias/variance tradeoff, model evaluation metricshands-on experience with dataset processing for analysis and ingress of various training data sources (in vitro, in vivo, PDX, patient)featurization of raw data for various ML models - e.g. find out what are the descriptive features that define phenotype after a gene knock-out on a cell linesolid coding skills for processing large datasets (Python is preferred, but not a must-have. Can bring your strongest language.)process research papers and pick up new techniques and concepts to be applied in the team's daily workeager to proactively contribute to the planning of our research roadmap. You'll have an impact on defining our next stepNice to have:interpretation techniques of ML modelstrain basic black box ML models as part of benchmarkingevaluation of cell models with a biology-first mindset. E.g. what is a good model from a network biology point of view?You are a Turbiner if these personality traits apply to you:You have self-awareness and strong intention on personal growthYou seek out feedback and learn from mistakes and apply what you learnedYou take responsibility and focus on the outcomes over tasksYou focus on shared success and are open to challenging others respectfully to get the best possible outcomeYou are in it for the long haul and have passion for our mission