Job Description:
We are seeking an innovative, PhD-level Computational Scientist to join the Merck Exploratory Science Center (ESC) in Cambridge, MA.
Additional Info:
The Merck Research Laboratories (MRL) Exploratory Science Center (ESC) Cambridge, a wholly owned subsidiary of Merck and Co., is focused on driving early discovery research. Co-located with Merck’s Cambridge Innovation Hub, the ESC’s disease-area-agnostic research agenda fosters hands-on collaboration between our scientists and external academic and biotech researchers to access and explore the most promising emerging science. Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create a fast-paced, nimble and flexible environment of mutual respect, creativity, invention and teamwork. With access to Merck’s proven global R&D organization, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.[Click Here to Access the Original Job Post]
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.
- Sit at the critical interface between genomic discovery and functional biology and work with a team of biologists to perform analyses of genetic and genomic data, with emphasis on integration of mammalian omics data (e.g. genomics, transcriptomics, metabolomics and proteomics) with microbiome related metaomics data (e.g. metagenomics, metatranscriptomics, metaproteomics, and microbial metabolomics).
- Must have a proven track record across a wide range computational biological methods, e.g. mathematical modelling, systems biology, and data integration.
- Given the multi-disciplinary nature of the position, very strong collaboration and communication skills
Qualifications
Education: • Required: PhD in Computer Science, Bioinformatics or another related discipline with a substantial computational component. Required Experience: • Minimum of (1) year of Postdoctural and/or equivalent Industrial experience • Mathematical modelling and algorithm development • Machine Learning expertise (e.g. SVM, RF or DNN) • Programming experience (e.g., perl, python) • Unix/Linux OS experience and shell scripting • Statistical and omics packages (e.g. R and MatLab) • 10% Travel Preferred Experience:- Practical experience with analytical methods including network reconstruction, quantitative modelling, causal inference testing, Bayesian statistics and next generation sequencing (NGS) data analysis.
- Research experience related to the following disciplines: microbiome/microbiology, immunology, metabolomics, ecology.
- Version control (e.g. git) and related reproducibility practices.
Requeriments :
Skills :
- immunology
- Machine Learning
- Microbiology
- Modeling
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in PERL
- Programming in R
- Statistics
- Version Control
Areas :
Additional Info:
The Merck Research Laboratories (MRL) Exploratory Science Center (ESC) Cambridge, a wholly owned subsidiary of Merck and Co., is focused on driving early discovery research. Co-located with Merck’s Cambridge Innovation Hub, the ESC’s disease-area-agnostic research agenda fosters hands-on collaboration between our scientists and external academic and biotech researchers to access and explore the most promising emerging science. Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create a fast-paced, nimble and flexible environment of mutual respect, creativity, invention and teamwork. With access to Merck’s proven global R&D organization, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.[Click Here to Access the Original Job Post]