The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University.The mission of the QSU is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatics and informatics, to mentor and educate clinical investigators in research methods and to mentor data scientists.

We are seeking an individual with a creative and analytical mind to join the growing team in the Bioinformatics Core Facility (BICF).The BICF team accelerates biomedical discovery through the application of state-of-the-art algorithms to ‘omics’ data sets, medical data records, and images.

Berkeley Lab’s Molecular Biophysics & Integrated Bioimaging Division has an opening for a Computational Biologist Postdoc Fellow.The postdoctoral researcher will conduct computational research in the area of diffuse X-ray scattering, and X-ray and electron tomography.

The Position Start Date: Summer 2020 Work Hours: 40 hours per week Location: South San Francisco Campus Length of Assignment: 3 months Education Level: PhD Student (pursuing PhD, not completed) Department Overview: The mission of the Bioinformatics & Computational Biology group is to provide the information systems including the methods, software, databases, infrastructure, and training required for Research to access and analyze DNA and protein sequence information and related biological data.To utilize these information systems to analyze biological information and to identify genes of therapeutic interest.

The Position Start Date: Summer 2020 Work Hours: 40 hours per week Location: South San Francisco Campus Length of Assignment: 3 months Education Level: PhD Student (pursuing PhD, not completed) Preferred Specialization: Genetics, Bioinformatics, Biostatistics, Data Science (or related field) Department Overview: The mission of the Cancer Immunology group is to bring lasting benefit and cures to cancer patients through innovative scientific discoveries and medicines.By combining clinical observation with laboratory investigation, we will reveal the approaches most likely to work and then build upon our successes to achieve dramatic and long-lasting benefit for patients.

Role Summary We are looking for a Computational Biologist specializing in the analysis of Next Generation Sequencing (NGS) data to help build and refine data processing pipelines to support work on gene therapies and other oligonucleotide-based modalities.The role will collaborate with scientists at multiple Pfizer research sites and report into Pfizer’s Simulation and Modeling Sciences (SMS) team.

The iNDx technology is searching for a full-time entry-level hybrid computational biologist/translational research scientist who can apply methods of computational biology to develop data analytics platform developed by Indx Technology.The candidate will be having a master’s degree in computation biology and will be knowledgeable of statistics, next generation sequencing experiments, flowcytometry methods and other types of molecular and cellular data and applications commonly used in Translational Research studies.

At 10x Genomics, accelerating our understanding of biology is more than a mission for us.It’s a commitment.

Every immune system has a story to tell— the key is knowing how to listen.Our goal is to meaningfully improve people’s lives by learning from the wisdom of their adaptive immune systems.

Intern, Computational Biology Company Overview Strand Therapeutics is an early-stage biotechnology company utilizing synthetic biology to genetically program mRNA to deliver truly revolutionary immunotherapies.Building on the idea of creating smart therapies that are capable of making sophisticated decisions, Strand was started by biological engineers working together at MIT who were seeking to apply the concept of the emerging field of mRNA therapeutics.

Overview The Macosko Lab, located at the Broad Institute in the Stanley Center for psychiatrist research, is seeking an exceptional candidate for a Senior Computational Scientist position, to lead efforts to assemble a cellular atlas of the human brain, defined by cutting edge single-cell and spatial genomics techniques.The brain is composed of 100 billion cells that specialize to carry out an incredible range of functions; at present, a surprisingly large amount of this cellular specialization is unknown across the hundreds of neuroanatomical regions.

Computational Biologist, Assay Research About the Role As a Computational Biologist dedicated to Assay Research at Freenome, you will be responsible for research into our molecular assays for early, noninvasive tests for cancer detection.You will use a strong foundation in molecular research to perform computational analyses to understand and improve assays relevant to molecular signatures cancer.

Takeda's year-round internship program blends real world experience with an overview of the pharmaceutical industry.Knowledgeable mentors will provide guidance as you gain professional hands-on experience.

The Senior Computational Biologist will be responsible for leading the scientific direction and execution for the development of early, noninvasive detection tests for multiple cancers.They will use a strong biological and scientific foundation in cancer genomics to develop best in class assays to capture novel biology, and then using various analytical approaches to discover specific biological signatures relevant to the early detection of disease.

Job Description Join a Broad Institute team that is part of a fast-moving nationwide Consortium, the Biomedical Data Translator (https://ncats.nih.gov/translator), to collaboratively build open-source software to support data-integration and hypothesis-generation across the biomedical research enterprise.The Consortium has over a dozen distributed groups that work interactively toward a common vision.

Passionate about precision medicine and advancing the healthcare industry?Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way.

The Department of Genetics at Stanford University is seeking a Senior Computational Biologist / Research Scientist (Biostatistician 2) to join the Engreitz Laboratory to map the regulatory wiring of the human genome to discover genetic mechanisms of heart diseases.The Engreitz Lab will launch at the Stanford University Department of Genetics and Children’s Heart Center starting in 2020.

The life sciences are in the midst of a data revolution.Cheap and accurate genome sequencing is a reality, high-resolution imaging is becoming routine, and clinical data is increasingly stored in machine-readable formats.

Freenome is hiring a Senior Computational Biologist, Epigenetic Modeling About the Role As a Senior Computational Biologist dedicated to Epigenetic Modeling at Freenome, you will be responsible for developing state of the art machine learning models of methylation data for early, noninvasive tests for cancer detection.You will use a strong statistical and functional genomics foundation to develop best-in class models of epigenetic signatures of cancer.

Canada's Michael Smith Genome Sciences Centre (GSC) at BC Cancer is an international leader in genomics, proteomics and bioinformatics for precision medicine.By developing and deploying genome sequencing, computational and analytical technology, we are creating novel strategies to prevent and diagnose cancers and other diseases, uncovering new therapeutic targets and helping the world realize the social and economic benefits of genome science Learn more about how the GSC is Bringing Genomics to Life.