Job Requirements: M.Sc. or higher Degree in Statistics
Crowe Horwath is looking to expand its Machine Learning team with additional practitioners to invest in additional products and services in this disruptive area. Applicants should have advanced degrees and experience with Machine Learning, a.k.a. Artificial Intelligence or Cognitive Learning. Leverage large sets of structured and unstructured data to develop tactical and strategic insights; Collaborate with analytic and data teams to set objectives, approaches, and work plans... [More]
UNOS is looking for a Research Scientist to lead analyses and support for scientific studies, contract deliverables, data requests, and database maintenance activities utilizing the OPTN database, research analysis datasets and other sources of data as necessary. Designs and conducts quantitative and qualitative research in the field of organ transplantation in order to complete contract deliverables and other projects of scientific value... [More]
The Field Bioinformatics Specialist is part of a multi-disciplinary team focused on driving excellence in customer applications & technical support. Their scope of work will range from the pre-sales process and post-sales installation, to training and troubleshooting Bioinformatics related equipment and software. [More]
Exponent’s Statistical & Data Sciences Practice is currently hiring a Scientist with expertise in Machine Learning, Data Analytics, and Software Development. This position will be located at Exponent’s headquarters in Menlo Park, CA, in and amongst the Silicon Valley technology sector. This position requires innovative problem solvers who can help rapidly analyze, develop, and prototype algorithms for classification and anomaly detection, time series analysis, knowledge discovery, image processing, and network analysis. [More]
The Bioinformatician/Computational Biologist will focus on epigenetic mechanisms of stem cell fate, genome stability and cancer epigenetics, and reprogramming and transdifferentiation, using experimental, genomics, and bioinformatics approaches. The Bioinformatician/Computational Biologist will also integrate functional studies and computational analysis of epigenomic and transcriptomic data. [More]
The Data Scientist provides collaborative and innovative analytic support across all divisions of the center, leveraging big data to support and empower center investigators. The Data Scientist will be responsible for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, and communication and presentation of results. [More]
This role is a full-time position focused on the development and application of continuum-based (ODE) physiological models of biological systems to enable or inform early decision-making on the selection of biological targets and materials for conditions of interest. Flexibility to implement and develop alternative computational modeling strategies related to systems biology is also expected. [More]
We are seeking an exceptional individual to join our team in developing analysis tools that will be used by researchers and clinicians worldwide. These tools will be incorporated in Illumina’s expanding oncology portfolio and used in high visibility projects such as the 100,000 Genomes Project. Responsibilities: Creation of novel sequence analysis workflows (i.e. read alignment, variant calling, and variant annotation) to support both research and clinical products; Design, prototype, and implement computational algorithms that utilize both statistical and machine learning approaches... [More]
We are seeking a talented Bioinformatician or Statistician to join the dynamic bioinformatics team here at Gladstone Institutes. You will be providing bioinformatics and statistical support to the world-class biomedical research conducted in labs at Gladstone Institutes, UCSF, and beyond. Working closely with experimental scientists, you will lead end-to-end studies from hypotheses and experimental design, to analysis plans, implementation and pipelining, to methods assessment and result reporting or publication. [More]
The primary purpose of the Research Statistical Analyst position is to carry out data preparation responsibilities related to cancer clinical trials, develop skilled statistical programs, perform statistical analysis associated with clinical data and prepare written reports to investigators. In addition, this position prepares statistical considerations for basic trial designs or grants and performs biostatistical reviews of protocols. [More]