Senior Scientist, AI/ML in Computational Biology
hace 12 días
Seville
About the Role Within the Predictive Biology and AI team at CITRE in Seville, Spain, we seek enthusiastic candidates for a scientist/senior scientist position with a demonstrated research background applying machine learning in biology, a track record of independent research, experience in creatively solving technical problems, and a proven ability to implement predictive models based on the latest published research. Obtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado. The position is based in Seville, Spain, and although flexible working arrangements are in place (50% work in‑office), fully remote working options are not offered currently. CITRE is Bristol Myers Squibb's research institute in Europe. Informatics & Predictive Sciences at CITRE performs innovative computational research to inform decisions across all stages of drug development, including computational and network biology, machine/deep learning, cheminformatics, predictive modeling, patient stratification, and method development for analysis and interpretation of biological data. The candidate will work as part of a multidisciplinary team focused on bringing the latest ML/AI methods to tackle impactful biological questions, collaborating closely with computational and experimental scientists in ML, structural biology, chemistry, cell and gene therapy. Responsibilities • Participate in our growing effort to apply cutting‑edge AI/ML techniques towards the development of novel therapies to treat neurologic disease, cancer, and hematological malignancies., • Collaborate across teams to solve complex problems at the intersection of computation and experimental biology., • Analyze and develop methods for use with spatial and other "omics" data (Spatial transcriptomics, single‑cell RNA‑seq, ATAC‑seq, etc.)., • Refine ML models and workflows and perform exploratory data analysis on large datasets., • Formulate translational and discovery questions as ML problems and interpret model outputs in biologically meaningful ways to generate hypotheses that guide experimental biology., • Creatively propose hypotheses and test them rigorously., • Author scientific reports, and present methods, results, and conclusions to publishable standard.Minimum Qualifications, • Ph.D. in Machine learning, Bioinformatics, Computational Biology, or a related technical field., • Experience in applying contemporary machine learning methods to biological problems., • Publication record in relevant conferences or journals., • Experience with "omics" data including single‑cell and spatial transcriptomics., • Experience integrating multimodal datasets, including genomics, transcriptomics, and imaging data, using machine learning approaches., • Expertise in scientific programming languages (e.g., Python, R) and libraries (Pandas, Numpy, Scipy, Scikit‑learn, …) and their application to mine large datasets., • Verbal and written English language fluency are a prerequisite., • Intense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts.Nice to Have, • 2+ years of postdoctoral experience in relevant fields., • Experience with one ML framework among Scikit Learn, PyTorch, or TensorFlow., • Experience with ML applied to bioimaging, bioinformatics problems, including single cell and spatial omics is a strong plus., • Experience analyzing clinical trial‑derived data and/or images to address translational research questions, or applying omics data analysis on public data for target discovery and prioritization., • Experience developing/applying deep learning based approaches., • Prior research projects in pharma/biotech, university, or hospital environments., • Experience managing multi‑modal data (omics, imaging and time‑series signals)., • Previous experience using cloud‑based computing and software engineering frameworks (e.g., Docker, Git).Equal Opportunity Employer Bristol‑MyersSquibb is an equal opportunity employer. xcskxlj Qualified applicants will receive consideration for employment without regard to gender identity, race, color, religion, sexual orientation, national origin or disability. #J-18808-Ljbffr