3 of 3 Permanent Big Data Jobs in Cambridge

valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. - What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand … patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from … data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis More ❯

Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop … novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the … art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration More ❯

infrastructure across all industries. Discover the quickest way to enter a lucrative career within Cloud Computing. Have the option to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯