1000+ Best Full-time Jobs in Camas (July 2026) - page 13

Senior Scientist, AI/ML in Computational Biology

6 days ago

Seville

ph3About the Role /h3pWithin 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. /ppThe 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. /ppCITRE 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. /ppThe 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. /ph3Responsibilities /h3ulliParticipate 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. /liliCollaborate across teams to solve complex problems at the intersection of computation and experimental biology. /liliAnalyze and develop methods for use with spatial and other "omics" data (Spatial transcriptomics, single‑cell RNA‑seq, ATAC‑seq, etc.). /liliRefine ML models and workflows and perform exploratory data analysis on large datasets. /liliFormulate translational and discovery questions as ML problems and interpret model outputs in biologically meaningful ways to generate hypotheses that guide experimental biology. /liliCreatively propose hypotheses and test them rigorously. /liliAuthor scientific reports, and present methods, results, and conclusions to publishable standard. /li /ulh3Minimum Qualifications /h3ulliPh.D. in Machine learning, Bioinformatics, Computational Biology, or a related technical field. /liliExperience in applying contemporary machine learning methods to biological problems. /liliPublication record in relevant conferences or journals. /liliExperience with "omics" data including single‑cell and spatial transcriptomics. /liliExperience integrating multimodal datasets, including genomics, transcriptomics, and imaging data, using machine learning approaches. /liliExpertise in scientific programming languages (e.g., Python, R) and libraries (Pandas, Numpy, Scipy, Scikit‑learn, …) and their application to mine large datasets. /liliVerbal and written English language fluency are a prerequisite. /liliIntense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts. /li /ulh3Nice to Have /h3ulli2+ years of postdoctoral experience in relevant fields. /liliExperience with one ML framework among Scikit Learn, PyTorch, or TensorFlow. /liliExperience with ML applied to bioimaging, bioinformatics problems, including single cell and spatial omics is a strong plus. /liliExperience 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. /liliExperience developing/applying deep learning based approaches. /liliPrior research projects in pharma/biotech, university, or hospital environments. /liliExperience managing multi‑modal data (omics, imaging and time‑series signals). /liliPrevious experience using cloud‑based computing and software engineering frameworks (e.g., Docker, Git). /li /ulh3Equal Opportunity Employer /h3pBristol‑MyersSquibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to gender identity, race, color, religion, sexual orientation, national origin or disability. /p /p #J-18808-Ljbffr

Jobs in Camas - Page 13Create job alertsFull-time

Popular jobs searches in Camas

Popular jobs locations