SENIOR DATA SCIENTIST, BRAZIL

Senior Data Scientist, Brazil - We combine the disruptive power of Artificial Intelligence with human expertise to support large companies in navigating changes in technology and business. With 30 years of experience, 6,000 workers, offices in 10 countries, and talents across 5 continents, we operate in the fields of design, strategy, and engineering for global brands, helping clients achieve the full potential of technology as a force for good. Impact is what we deliver. As a Senior Data Scientist specializing in Drug Discovery, you will leverage your expertise in data analytics, machine learning, and statistical modeling to represent CI&T as a value-added partner in technology to support the drug discovery process. You will collaborate with cross-functional teams, including account managers, strategists, developers, architects, and others to understand and communicate the opportunities within the drug discovery process for clients and other internal teams at CI&T to have a meaningful and valuable impact. Responsibilities: Prospect Relations: Be a first point of contact to open the conversation with prospective clients about how CI&T can help them, showing understanding of the drug discovery space and its challenges and opportunities. Model Deployment: Help identify the best potential models to tackle the presented challenge and deploy them in an enterprise environment, coordinating the work of different groups to ingest the necessary data for successful analysis of results. Data Analysis: Analyze large-scale biological datasets, including genomics, proteomics, and cheminformatics, to identify potential drug targets and biomarkers and how they affect the research being conducted. Collaboration: Work closely with interdisciplinary teams to design experiments and interpret results in the context of drug discovery. Visualization: Create clear and compelling visualizations of data analysis results to communicate findings to stakeholders and guide decision-making. Research: Stay abreast of the latest advancements in data science and drug discovery, applying novel methodologies to enhance our research capabilities. Mentorship: Provide guidance and mentorship to junior data scientists and interns, fostering a collaborative and innovative team environment. Requirements: Education: MS or Ph. D. in Data Science, Bioinformatics, Computational Biology, or a related field, with a strong emphasis on drug discovery methodologies. Solid experience in data science, specifically within the pharmaceutical or biotechnology industry, focusing on omniomics (proteomics, genomics, etc. ), biometric systems, or drug discovery. Business Acumen: Understanding of the competitive and regulatory landscape surrounding drug discovery, and current best practices and leaders in the space. Technical Skills: Proficiency in programming languages such as Python, R, or Java, and experience with data visualization tools (e. G. , Tableau, matplotlib) and artificial intelligence models such as AlphaFold, ESMFold, RosettaFold, and others. Machine Learning: Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques, with a proven track record of applying these skills in drug discovery. Biological Knowledge: Solid understanding of molecular biology, pharmacology, and the drug development process. Communication: Excellent verbal and written communication skills, with the ability to present complex data insights to non-technical audiences. Language: Professional English skills are required. CI&T is an equal-opportunity employer. We celebrate and appreciate the diversity of our CI&Ters identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow. At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas. We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies. #J-18808-Ljbffr