Job Description:
Associate Principal Scientist, Computational & Systems Biology-INF004330 Description Merck is a global health care leader with a diversified portfolio of prescription medicines, vaccines and consumer health products, as well as animal health products. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us. Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of people like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career. We currently have an opening for a computational biologist with expertise in analysis of complex ‘omics datasets in the area of immunology. The successful candidate will serve as a primary scientific point of contact for data mining in the department of Genetics & Pharmacogenomics (GpGx) at Merck & Co. The primary responsibility is in analysis of genetic and genomic data, with particular emphasis on integrating human genetic data with complex genomic datasets (e.g., epigenetic, RNA-sequencing, proteomics) and functional immune phenotyping data. The role sits at the critical interface between immune profiling, genetics and systems immunology. Given the multi-disciplinary nature of the position, very strong collaboration and communication skills are required. Knowledge of immunology, experiences in genetics/genomics data mining and statistical learning methods are required. Responsibilities The responsibilities of the candidate include but are not limited to:
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Associate Principal Scientist, Computational & Systems Biology-INF004330 Description Merck is a global health care leader with a diversified portfolio of prescription medicines, vaccines and consumer health products, as well as animal health products. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us. Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of people like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career. We currently have an opening for a computational biologist with expertise in analysis of complex ‘omics datasets in the area of immunology. The successful candidate will serve as a primary scientific point of contact for data mining in the department of Genetics & Pharmacogenomics (GpGx) at Merck & Co. The primary responsibility is in analysis of genetic and genomic data, with particular emphasis on integrating human genetic data with complex genomic datasets (e.g., epigenetic, RNA-sequencing, proteomics) and functional immune phenotyping data. The role sits at the critical interface between immune profiling, genetics and systems immunology. Given the multi-disciplinary nature of the position, very strong collaboration and communication skills are required. Knowledge of immunology, experiences in genetics/genomics data mining and statistical learning methods are required. Responsibilities The responsibilities of the candidate include but are not limited to:
- Analyzing and integrating large-scale experimental data sets including gene expression, next-generation sequencing and immune monitoring data to identify new targets for drug discovery.
- Performing biological pathway and network analysis to form hypotheses.
- Collaborating with biologists to suggest further experiments and validate key findings.
- Designing, creating and maintaining databases to host, analyze and share raw and analysis data.
- Devise strategies that leverage immune molecular profiling technologies.
- Author sections of strategic plans related to target ID and validation.
- BS/BA degree with a minimum 12 years of industry experience; or a MS degree with 8 years industry experience; or PhD with 4 years of academic or industry experience, preferably in immunology, genomics, computational biology, or a related field.
- Strong computational biology skills are required including programming in R/Matlab.
- Expert knowledge of data mining principles, concepts and theories.
- Experience in the design and bioinformatics analysis of large-scale molecular profiling studies involving transcriptional profiling using microarrays or sequencing technologies.
- Ability to interrogate biological pathways and networks using pathway analysis tools.
- Subject matter expertise in immunology.
- Strong communication and collaboration skills are essential, including an ability to communicate complex issues to biologists.
- Ability to design, assemble and use databases.
- Expertise in machine learning.
- Proven capability to utilize bioinformatics software tools.
- Understanding of drug development process.
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