Job Skills: Programming in Matlab
This position is an exciting opportunity in Attribute Sciences based at Amgen's Cambridge site in Boston. The role is in a newly established function dedicated to enhancing attribute understanding and method performance for biotechnology products. Responsibilities will include the development of computational and statistical data tools for monitoring analytical method performance and attributes. [More]
This position is responsible for developing and implementing computational algorithms and a system to analyze large-scale multi-omics data, with integration of existing public database of signaling pathways into computational analysis. Primary duties include, but are limited to, applying the developing methods to cancer biomarkers, progression and target discovery... [More]
Under direct supervision and training, the Bioinformatics Programmer will be working as part of a multidisciplinary group. The individual will utilize various computational methods to analyze single-cell datasets from genomic and proteomic approaches. The candidate will interact closely with other laboratory members in our group and collaborating labs and will be responsible for meticulous handling and analysis of data generated in the laboratory [More]
As a member of the Neuroscience group, the Systems Software Engineer will be embedded in various projects within the group. The group is currently working on projects related to neural connectome and calcium imaging. The Software Engineer will create and maintain numerous applications and tools as needed to help support diverse, quantitative scientific research projects. [More]
We are seeking a highly motivated scientist to join the bioinformatics team at the CGR and provide analytical support to DCEG. Working with DCEG investigators, external collaborators, CGR management and staff, the successful incumbent will provide leadership and support to the extensive DCEG analytical efforts, specifically: Accessing, extracting and preparing data for analysis, including combining data run on multiple platforms as well as externally generated data in support of meta-analyses... [More]
We seek a talented, collaborative inter-disciplinary scientist to conduct computational analysis of high-dimensional tissue, cell and molecular profiling data to advance Celgene’s patient-focused Molecular Medicine efforts. This individual will play a key scientific role leveraging innovative computational analysis strategies and a wide range of data sources to empower data-driven decisions and improve therapeutic outcomes in complex diseases of unmet medical need. [More]
This position will work with a team responsible for deep sequencing data analysis. As part of those responsibilities the candidate will participate in the development of procedures and pipelines for data analysis. These responsibilities also include independently supporting, developing, designing, and executing fundamental research activities for a single or multiple research project... [More]
As part of the Data Science Group that process massive amounts of sequencing data you will be tasked to design and analyze experiments to drive our sequencing technology and apply it to various applications. Our team has built a system, in-house, from the ground up that enables massively parallel single-molecule DNA sequencing with no need of complicated optics, amplification or labels. [More]
As a Quantitative Analyst, you will evaluate and improve Waymo's products and offering. You will collaborate with a multi-disciplinary team of extremely data-driven engineers, product managers, systems engineers and Waymo leadership on a wide range of problems. You will be responsible for updating, creating, and keeping online critical data pipelines.. [More]
Based in Cambridge, MA, the role is a computational biologist who will apply computational solutions for integrative analysis of Omics data in the ongoing efforts to make contributions in (1) gaining mechanistic insights into the effect of drug treatment, (2) target and biomarker discovery, (3) indication and patient population selection and (4) building clinical development strategy. [More]