Job Area: Computational Biology
As a principal data scientist in machine learning at Roche Sequecing Solutions Santa Clara, you will explore an exciting new application of neural networks. Your role will involve architecting and training models on proprietary DNA sequencing data, generated by our high throughput single molecule sequencing instrument. [More]
Responsible for assisting in ensuring data integrity and data competency for clinical and research data critical to business intelligence. This initiative addresses the current information architecture and technical environment challenges to establish the data request management foundation to create a standardized data access format across functional data. To successfully perform this role, the Specialist must have experience in the genomic and/or biology field, including deep knowledge of reference data repositories, standard practices, and analytical tools to transform, migrate, and analyze genomics data in disparate systems. [More]
A postdoctoral position is available in the laboratory of Dr. Lilia Iakoucheva at the University of California, San Diego (http://iakouchevalab.ucsd.edu/research.html) Genomics and genetics of neuropsychiatric disorders A postdoctoral position is open to applicants with strong computational biology/systems biology/bioinformatics/statistics/networks backgrounds who are interested in applying their experience to study psychiatric disorders (autism and schizophrenia). [More]
An NIH-fund Center of Excellence in Big Data to Knowledge (BD2K) at the University of Pittsburgh has multiple openings for outstanding postdoctoral researchers. The center concentrates on developing and applying different machine learning algorithms, particularly Bayesian causal inference methods, in biomedical setting. We are recruiting outstanding computer scientists, bioinformatics, and computational biologists to participate in the research activities of the center. [More]
The Pinello Lab at Massachusetts General Hospital / Harvard Medical School is looking for Postdoctoral candidates excited about computational challenges in (epi)genomics, single-cell analysis and CRISPR genome editing. The candidate(s) will work on interdisciplinary projects developing innovative computational approaches to systematically analyze and integrate sources of genetic and epigenetic variation and gene expression variability in human traits and diseases. [More]
Granger Genetics is currently seeking a full-time Bioinformatician. The ideal candidate will have experience with 1) analyzing next-generation sequencing data with an eye toward biological interpretation, 2) developing analytic pipelines by integrating existing scientific tools with custom codebases, and 3) supporting existing/legacy code. [More]
This Scientist-level position will have a strong background in biophysical modeling, including data science approaches and, together with team members, be responsible for implementing and maintaining modeling formalisms and computational toolsets. Tasks may include but are not limited to, evaluating and implementing mathematical approaches for data integration, developing computational research tools, and moving towards biophysically-based approaches to address mechanistic questions in cell organization, all with development best practice and an open science approach. [More]
As part of a talented and multi-disciplinary team advancing an exciting new approach to drug discovery and development, the successful candidate will be expected to manage a team of bioinformaticians, projects, timelines, and interface with AbbVie Stemcentrx scientists helping them with high throughput assay data analysis, visualization, and cross assay platform analyses in support of both discovery research and translational / biomarker discovery. [More]
The Senior Software Engineer (level determined by candidate) will design, develop, test, deliver, and support software solutions in a scientific environment. Responsibilities will include software development, systems implementations, algorithm development, analyzing user requirements, writing scripts, data management and analysis, user support, troubleshooting and resolving complex technical issues, developing and executing on project plans. As a member of a cross functional agile team, this position will be a versatile role that may span all facets of software development, algorithm development, and systems implementation from the ground up and will shift from project to project. [More]
OBJECTIVES: Design, implement and execute state-of-the-art bioinformatic tools for the collection, curation, analysis, mining and visualization of complex biological data; Identify pharmacological mechanisms and adverse outcome pathways that are related to the observation of in vivo toxicity, and propose actionable and testable solutions; Enable the design and selection of high-quality drug candidates through the identification of project-related safety liabilities and application of validated in silico and in vitro tools. [More]