Experience in a related field: Applicants should have prior experience in one or more of the following fields: bioinformatics, genetics, computer science, or biological science;

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA folding and structure prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy.

We are seeking a Postdoctoral Research Associate who will support the Computational and Predictive Biology Group in the Biosciences Division (BSD), Biological and Environmental Systems Sciences (BESSD) at Oak Ridge National Laboratory (ORNL).

Successful candidates will join a research program which focuses on mechanistically understanding the effects of human genetic variation (such as that identified by GWAS) on cardiovascular phenotypes. To reach these goals, we travel a research path that requires the coordination and collaboration of both laboratory and computational team members

Working with Us Challenging.Meaningful.

Working with Us Challenging.Meaningful.

Working with Us Challenging.Meaningful.

The ideal candidate will have a deep knowledge and experience in both machine learning and RNA Biology (structure, stability, translation) and a high degree of proficiency in Python (scientific programming), machine learning libraries, bioinformatics tools, and cloud computing and be responsible for developing machine learning and complex analytical workflows to support the selection, design and optimization of siRNA sequences and siRNA formulations.

The position also requires close collaboration with our data science and machine learning colleagues across the global sites of the ‘Digital Science & Innovation’ area as well as to contribute to the onboarding and development of new computational drug design methods.

We are seeking an experienced B.S./M.S. Computational Biologist to help in our drug discovery efforts. This is a hands-on, full-time, research position that requires strong expertise in computational biology.

The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility.

Company Description Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States security?

The Scientist or Senior Scientist in this position will be expected to lead the development and application of computational methods for analysis of single-cell multi-omics and spatial omics data, in the context of biological studies of different diseases, aging and other processes impacting tissue homeostasis.

The ideal candidate will enjoy working on a wide range of interesting problems, be involved in all aspects of a research project and develop robust computational tools and pipelines for data processing and analysis. The successful candidate will demonstrate rigorous scientific thinking, strong work ethic and the ability to work equally well in a team or independently. They will work closely with a cross-disciplinary team including domain knowledge experts, data generation experts and other computational scientists.

Corteva Agriscience has an exciting and challenging opportunity in the Predictive Safety Center (PSC) within Regulatory Science for a Physiologically Based Pharmacokinetic (PBPK)/Computational Postdoctoral Fellow.

Work with R&D teams of our Biopharma clients, and collaborate with a team of Biologists, Medicinal Chemists, Computational Biologists, Data Scientists, Data Engineers, Web Developers, Cloud Engineers, and Solution Architects to create the next generation of innovative computational chemistry solutions for target discovery and validation.

Develop and apply AI & computational models in SMOL, mAb, Gene & RNA therapy design and development.

Job ID: 35046 Location: 450 Brookline Ave Boston MA 02215 Category: Fellowships Employment Type: Full time Work Location: Onsite: Full time on Campus Overview Overview: The Qi laboratory at the Dana-Farber Cancer Institute is looking for exceptional Postdoctoral Fellows in cancer biology (qi lab website: qilab.dana-farber.org).The Qi lab studies gene regulatory pathways using the emerging discipline of chemical biology.

Company Description Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States security?

Job ID: 35172 Location: 20 Overland Street Boston MA 02215 Category: IT/Informatics Employment Type: Full time Work Location: PTL Remote: 2-3 days remote/wk Overview Bioinformatics and Molecular Data team is a growing group at the Informatics and Analytics Department (I&A) of Dana-Farber Cancer Institute (DFCI).The team addresses unmet needs for bioinformatics data management data mining and analysis across research clinical and operational units.