Job Area: Computational Biology
Principal Responsibilities: Engage with life science clients to understand their challenges and opportunities and develop creative and innovative approaches; Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modeling, simulation, text-mining/NLP, data-mining, pathway/network analysis; Digest complex data structures, perform statistical data reduction, summarization, normalization and multivariate data analyses and report findings using advanced visualization techniques such as Spotfire, Tableau, Partek or similar applications... [More]
The Ware Lab at the world-renowned Cold Spring Harbor Laboratory (CSHL) has an immediate opportunity for a Computational Science Developer.We are seeking a highly driven, experienced software engineer to work on projects such as the ones listed above and other lab processes and activities. You will become an integral member of a multi-disciplinary team that drives the vision of the projects to success. [More]
The Scientist - Computational Biology role provides technical leadership in machine learning to the analytics team within MultiOmyx, with focus on Deep Learning. The Scientist has strong knowledge in machine learning and data analysis methods and is responsible for development and implementation of new Deep Learning methods to analyze large multiplexed immunofluorescence and IHC datasets. [More]
At Synthetic Genomics, Inc., we are dedicated to developing and commercializing genomic-driven solutions to address global challenges. We are currently seeking a Computational Biologist Integrations Architect to join our fast-growing, dynamic and collaborative team in La Jolla, CA. As a member of the software engineering team at Synthetic Genomics, you will work in close coordination with bioinformatics and bench scientists to implement and support our in-house software platform Archetype®. [More]
The Department of Genetics invites applications for a senior faculty at the SCIENTIST level in the area of computational biology and bioinformatics, with a special interest and research focus on integrated analysis of complex high content omics data (genomics, transcriptomics, proteomics, metabolomics, imaging, other) in the context of cardiometabolic, chronic or infectious diseases. [More]
The Translational Center of Excellence in Type 1 Diabetes at the University of Pennsylvania has open positions for computational postdocs interested in studying genomics and proteomics of type 1 diabetes. The Center is under the auspices of the Institute for Diabetes, Obesity, and Metabolism (IDOM), and is directed by Klaus Kaestner, PhD, MS, Thomas and Evelyn Suor Butterworth Professor in Genetics. [More]
The Bioinformatics Analyst will work as a member of the Core Facilities under the supervision of the Director of Core Laboratories at BloodCenter of Wisconsin's Blood Research Institute. Primary responsibilities include providing data analysis, integration, and development of new computational methods to analyze and integrate genome wide datasets from transcriptome, epigenomic, and other types of functional genomics based approaches. [More]
We are looking for an energetic and creative team member with background in Computer Science, Math, Statistics, Bioinformatics, or a related quantitative field with experience and knowledge in biological and informatics applications. You would be responsible for start-to-finish work on the analysis and interpretation of biological datasets using GNS’ powerful cloud-based analytics platform. [More]
We seek a talented and highly motivated Computational Biologist/Bioinformatics Scientist to develop novel tools and algorithms to support the development of RNAi therapeutics. The sequence-based design of RNAi therapeutics provides novel computational challenges that demand innovative approaches and an inventive mindset. [More]
The computational biologist will work as part of the target identification team, which uses large-scale chemical genetic analysis to reveal the cellular targets of compounds discovered from phenotypic screens. The position reports to the target identification team lead, and will interact across all Yumanity’s core platforms, including chemistry, yeast screening, and mammalian validation. [More]