Statistical Geneticist
Regeneron Genetics Center
Contribute to the methods development, analysis and interpretation of 100,000s of genotyped and sequenced humans, with the goal of making scientific discoveries and generating the knowledge that will enable Regeneron to deliver better medicines to the patients who need them. Work collaboratively with other experts in statistical genetics, genomic data analysis, biology, computation and medicine to develop, design, execute and refine analyses and methods that connect genetic variation to human diseases and health and help develop and implement the methods and tools that will enable these analyses to be executed and interpreted at scale.
Link:
https://careers.regeneron.com/job/REGEA0026307277/Statistical-Geneticist
Associate Manager in Statistical Machine Learning
Regeneron Genetics Center
We are looking for a scientist with postdoctoral experience or greater with machine learning expertise who will play a central role in research and development of machine learning approaches to the analysis and interpretation of 100,000s of genotyped and sequenced humans, with the goal of generating the knowledge that will enable Regeneron to deliver better medicines to the patients who need them. The scale and breadth of the data being collected at the RGC provides opportunities for research on a wide range of machine learning topics. Work collaboratively with teams that combine expertise in machine learning, genomics, biology, computation and medicine to design, execute and refine analysis that connect genetic variation to human diseases and health.
Link:
https://careers.regeneron.com/job/REGEA0026308361/Associate-Manager-Statistical-Machine-Learning
Statistical Genetics Analyst
Regeneron Genetics Center
Contribute to the analysis and interpretation of 100,000s of genotyped and sequenced humans, with the goal of generating the knowledge that will enable Regeneron to deliver better medicines to the patients who need them. Work collaboratively with other experts in genomic data analysis, biology, computation and medicine to design, execute and refine analyses that connect genetic variation to human diseases and health and to develop the methods and tools that will enable these analyses to be executed and interpreted at scale. Continually learn and acquire skills that are essential for a productive career at the intersection of human genetics, biology, health and drug development.
Link:
https://careers.regeneron.com/job/REGEA0026307020/Statistical-Genetics-Analyst
Manager, Application Development & Operations
Regeneron Genetics Center
Enable the analysis and interpretation of genetic data for 100,000s of individuals, by developing the analyses tools and pipelines that will enable scientists to explore the data at scale. Our goal at the Regeneron Genetics Center is to generate the knowledge that will enable Regeneron to deliver better medicines to the patients who need them. This is an opportunity to work in a challenging and rewarding research environment that constantly poses new technical and computational problems. You will work collaboratively with other experts in genomic data analysis, biology, computation and medicine to design, implement and refine world class data analysis and visualization tools.
Link:
https://careers.regeneron.com/job/REGEA0026307630/Manager-Application-Development-Operations
Computational Geneticist, Neuroscience & Ophthalmology Genetics
Regeneron Genetics Center
We are looking for a scientist in our Neuroscience & Ophthalmology Therapeutic Area Genetics team. The position will take on responsibilities for the design, execution, and interpretation of genetics studies focusing on neurological/ophthalmological diseases, as part of the Therapeutic Area Genetics team, and in collaboration with the Analytical Genetics team and the Genome Sequencing and Informatics Production teams. Primary responsibilities will be to lead genetics discovery projects, support new programs/collaborations, and to support the execution of overall scientific strategy in neurological and eye disease genetics. Goals of the team will be to apply genetics to target discovery, selecting indications for drug programs, and patient/disease stratification through genetic analyses.
Link:
https://careers.regeneron.com/job/REGEA0026307379/Computational-Geneticist-Neuroscience-Ophthalmology-Genetics
Associate Manager, Founder & Special Populations Genetics
Regeneron Genetics Center
The overall goals of this position are to conduct analyses in founder and other unique populations, interpret genetic data in order to obtain a deeper understanding of human biology, bioinformatically support analysis and identification of novel targets, and seek indications for drug programs. The successful candidate will work as part of the Founder & Special Populations team as well collaborate with the RGC Analytical Genetics and Therapeutic Area Genetics teams to provide genetic, informatics, and biological support for genetics studies of founder and special populations. The successful candidate will: characterize the allelic architecture of many founder populations, provide bioinformatics support for family-based analyses, identify genes of potential interest through genotype-phenotype associations & other genetic approaches, harness internal & external data sources to better understand novel genetic findings, work with the Analytical Genetics group to seek validation of associations in other RGC population resources, and work with the Translational Genetics & Functional Modeling groups to glean deeper insights into mechanisms & biology.
Link:
https://careers.regeneron.com/job/REGEA0026308464/Associate-Manager-Founder-Special-Populations-Genetics
Postdoctoral Fellow - Genetics Center - Data Sci and Machine Learning
Regeneron Genetics Center
The role will focus on development of new statistical and population genetic methods, theory, computational tools and machine learning, under the supervision of Dr. Goncalo Abecasis or Dr. Jonathan Marchini. Methods development will be motivated by, and applied to, the analysis and interpretation of 100,000s of genotyped and sequenced human subjects. The scale and breadth of the data being collected at the RGC provides opportunities for research on a wide range of topics. We expect that the precise area of research will be decided in collaboration with the successful candidate. Areas of research might include, but are not limited to: analysis of multiple phenotypes, deep learning and machine learning with imaging and genetic data, scalable association analysis, polygenic risk scores, fine-mapping, population structure, Mendelian randomization and graphical modelling, data visualization, summary statistical analysis, family-based association testing, and multi-omics data integration. Continual learning, skills acquisition and research publication will be essential during the role for a productive career at the intersection of human genetics, biology, health and drug development.
Link:
https://careers.regeneron.com/job/REGEA0026308342/Postdoctoral-Fellow-Genetics-Center-Data-Sci-and-Machine-Learning
Postdoctoral Fellow - Genetics Center - Neuro / Oph Therapeutic Area
Regeneron Genetics Center
The role will focus on the analysis and interpretation of large-scale sequencing studies focused on traits and diseases of the nervous system and the eye, under the supervision of Dr. Giovanni Coppola. The scale and breadth of the data being collected at the RGC provides opportunities for research on a wide range of topics, spanning from physiologic traits (e.g. cognitive testing, imaging) collected across large cohorts including hundreds of thousands of individuals, to disease-focused series including thousands of patients. Examples of possible areas of research include: identification and validation of novel genes associated with specific neurological and ophthalmological diseases and related complex phenotypes (e.g., neuroimaging, OCT) in large patient populations and case/control cohorts, non-European and founder populations, and extended multiplex pedigrees; focus on specific complex regions in the genome (e.g. HLA, 17q21.31) and their role in modulating disease risk; integration of genetic data with other modalities (gene expression, methylation); development and application of methods for variant prioritization; study of genetic determinants of disease progression in longitudinal disease cohorts; evaluation of the utility of polygenic risk scores in cohort stratification based on disease risk. Continual learning, skills acquisition and research publication will be essential during the role for a productive career at the intersection of human genetics, disease biology, and drug development.
The successful candidate will have a research background with a PhD, or MD/PhD and previous focus on Neurology, Neuroscience, Psychiatry, Genetics, or Ophthalmology; practical experience working with large real-world genetic datasets, and producing high-quality published work is required. Programming skills in any language and statistical expertise are preferred.
Link:
https://careers.regeneron.com/job/REGEA0026308341/Postdoctoral-Fellow-Genetics-Center-Neuro-Oph-Therapeutic-Area
PDF or Data scientist
Memorial Sloan Kettering Cancer Center
I am going for postdoctoral fellows or data scientists for my new lab in Memorial Sloan Kettering. We use machine learning to do biomedical research. We work on cancer genomics, gene regulation (mostly post-transcriptional), medical imaging, and electronic medical records. I am looking for folks with training in Computational Biology or Computer Science. Come find me!
Link:
http://morrislab.ca
