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.

The Computational Biologist performs bioinformatics analyses and contributes to software development related to the operation of a large-scale clinical sequencing facility. This is a temporary renewable full-time position Duties *Contributes to the design, development, implementation, validation, running, and maintenance of clinical bioinformatics pipelines and related databases. *Contributes to incorporation of third-party software into clinical bioinformatics pipelines, including: -identifying candidate software to consider -comparing software candidates to aid in selection -determining optimal parameters for the chosen software -developing interfaces to integrate the chosen software and -validating integration of the chosen software *Participates in the development of novel software solutions, as directed by the Assistant Bioinformatics Coordinator or Clinical Bioinformatics Coordinator.

This position is responsible for compiling and analyzing data for internal and external customers. The Clinical Data Analyst will collect data and perform data analysis for scientific publications, marketing materials, external collaborations, and internal studies. Responsibilities include both routine data pulls as well as complex analyses that require original thinking and novel analysis.

This position is responsible for compiling and analyzing data for internal and external customers. The Clinical Data Analyst will collect data and perform data analysis for scientific publications, marketing materials, external collaborations, and internal studies. Responsibilities include both routine data pulls as well as complex analyses that require original thinking and novel analysis.

We have an available opening in our CSI team for talented and motivated Computational Biologists with expertise developing computational methods to analyze and model complex biological datasets and processes. As a core member of this team, the primary responsibility of Computational Biologists is to contribute to the development and scalable deployment of diverse, integrated computational systems that can provide key support for clinical interpretation of genetic testing results.

As a Scientist I/II - Computational Biologist, Capsid Data Science, you will lead analysis of biological data in a statistically rigorous manner and communicate findings to stakeholders across Dyno. This is a highly collaborative position working closely with other scientists and stakeholders to enable decision-making based on the data collected at Dyno.

As a Scientist II/Sr. Scientist - Computational Biology, you will spearhead the development of methods and tools to analyze and process next-generation sequencing data of multiplexed validation studies. You will support quality control (QC) analytics of manufacturing and tissue analysis processes, and contribute to the development of new analyses for process optimization.

We are looking for a Principal Bioinformatics Scientist in the NGS Algorithms and Applications team to support the algorithm development efforts. In this role, you will collaborate closely with assay scientists, software engineers and other bioinformatics scientist and apply your strong knowledge in next generation sequencing technologies.

Working under the direction of the Project Manager and Lead Data Scientist, a bioinformatics analyst will be responsible for applying their technical knowledge and skills in the domains of computational biology and/or bioinformatics towards the collection and analysis of genomic data.

The group is now seeking postdoctoral researcher, with strong computational and analytical skills, and an interest in implementing and applying machine learning and network-based approaches for AI-based drug repurposing and drug combination predictions, through analysing and integrating multi-omics data from pre-clinical and clinical resources. We will make use of publicly available resources for drug repurposing, such as Drug Repurposing Hub and clue.io, as well as in-house drug testing data from pre-clinical models.

No degree required, but proficiency usually demonstrated by getting a Bachelor/Master’s in computer science or computer engineering, or PhD in bioinformatics, computational biology, immunology, or related discipline. If you don’t have an advanced degree, your resume should demonstrate a mastery of concepts.

Expertise is required in the specific area of computational methodologies including computer vision, machine learning, and neuroimaging, and employing these methodologies in the study of mental health conditions. The role includes collaboration to develop and validate novel computational behavior analysis methods that provide granular, accurate and efficient assessment tools for clinical research.

The laboratories of Dr. Gavin Ha and Dr. David MacPherson have a joint postdoctoral research position open in the Computational Biology Program of the Public Health Sciences and Human Biology Divisions. We are seeking a highly motivated individual who is interested in developing and implementing innovative computational and analytical approaches to study the genetics and epigenetics of lung cancer from tumor and liquid biopsies.