Job Company: Merck
We are seeking a highly motivated and enthusiastic computational scientist to join a team dedicated to advancing Merck’s Oncology and Immuno-Oncology pipelines. The successful candidate will Develop, implement, and rigorously assess algorithms for the analysis of high-dimensional molecular data, including whole exome sequencing, bulk RNA-seq, single-cell RNA-seq, and large scale CRISPR screens. [More]
We are seeking a highly motivated and enthusiastic computational scientist to join a team dedicated to advancing Merck’s Oncology and Immuno-Oncology pipelines. The successful candidate will: Analyze, visualize and summarize NGS and other molecular data from oncology clinical trials and proprietary and public large molecular databases. [More]
The Senior Scientist, Oncology Bioinformatics will join an interdisciplinary team of scientists dedicated to the discovery of new cancer medicines. The successful candidate will work with scientists in the Oncology and Immuno-Oncology Therapeutic Area to design large-scale molecular profiling experiments and rigorously analyze biological data sets... [More]
We are seeking an innovative, PhD-level Computational Scientist to join the Merck Exploratory Science Center (ESC) in Cambridge, MA. Become part of a creative and flexible team that will investigate the influence of the microbiome on host immunity, immune responses to novel vaccines, and host/pathogen interactions; Investigate novel therapeutics to address significant unmet medical needs in infectious disease, as well as broader indications. [More]
We are seeking an innovative, PhD-level Computational Scientist to join the Merck Exploratory Science Center (ESC) in Cambridge, MA. Become part of a creative and flexible team that will investigate host/pathogen interactions, the influence of the microbiome on host immunity, as well as immune responses to novel vaccines, with the ultimate goal of delivering novel therapeutics to address significant unmet medical needs in infectious disease, as well as broader indications. [More]
The MRL B+V, DMPK & Disposition is seeking an individual with deep expertise in the area of Drug Development and quantitative sciences with application to development of biotherapeutics (monoclonal antibodies, therapeutic proteins, nanobodies, and multi-specific biologics). The individual will lead the newly formed group in Boston and serves and manages the critical and relevant activities at our Merck Research site in Boston, MA. [More]
We’re looking for candidates with a strong background designing and applying computational methods to solve problems in high-throughput biology and drug discovery, in either academic or industry settings. You must have successfully worked in collaborations that span research groups and institutions. You should have experience in all aspects of computational projects- data management and processing pipelines, algorithms, interpretation with biologists, and presentation/publication. [More]
We are seeking an innovative, PhD level computational biologist to join the Merck Exploratory Science Center (ESC) in Cambridge, MA.Successful candidate will become part of a creative and flexible team that will investigate host/pathogen interactions and the influence of the microbiome on host immunity and immune responses to novel vaccines, with the ultimate goal of delivering novel therapeutics to address significant unmet medical need in infectious diseases, cancer and autoimmune diseases. [More]
Principal Scientists in Quantitative Pharmacology and Pharmacometrics (QP2) apply quantitative approaches to develop and implement translational PK/PD strategies, characterize clinical pharmacokinetics and pharmacodynamics of new chemical entities, and inform dose selection and go/no-go decisions. Principal Scientists perform job duties independently with minimal supervision, and mentor others to develop similar capabilities. [More]
As a postdoctoral fellow in Biologics Process Development & Engineering department you will work with a highly collaborative team of Merck scientists, postdoctoral researchers, and external collaborators to utilize a combination of fundamental science (Systems Biology) and engineering/advanced mathematical principles to establish predictive models for cell culture conditions by integrating metabolomics, transcriptomics and proteomics data sets from production processes. [More]