Requisition ID: BIO004987
Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Merck is dedicated to turning causal human genetics and biology into new, differentiated disease modifying therapies to improve the lives of patients across auto-immune, cardio-metabolic and neurodegenerative disease. To fulfill this mission the Quantitative Target Sciences (QTS) group in the Human Genetics and Pharmacogenomics Department (GpGx) is searching for a highly collaborative and inquisitive scientist to join an inter-disciplinary team to transform human disease genetic discoveries into testable therapeutic hypotheses. We are looking for computational genomicist or bioinformatician with extensive experience analyzing and interpreting human genomic data and its integration with human genetic complex disease and quantitative trait association data. The successful candidate will participate in the statistical design and analysis of genomic experiments including capture Hi-C, CRISPR screens, bulk RNA-seq, single-cell RNA-seq, ATAC-seq and others. The candidate should have a solid foundation in statistics and computational biology, a strong work ethic, the ability to work independently and an openness to work on highly collaborative, matrixed teams. The candidate will develop and leverage academic collaborations, public-private partnerships and publically available data for the purpose of target identification and validation. This position affords the successful candidate an amazing opportunity to collaborate with scientists from across the organization including biostatistics, epidemiology, chemical-biology, functional genomics and genetics. This computational genomics position within QTS provides a unique opportunity to harness the power and information from human genetics and genomics to support the development of novel therapeutics.
- Ph.D., minimum of 2 years post degree experience (industry preferred) desired but all experience levels will be considered
- Knowledge of experimental design
- Management and analysis of large genomics studies (e.g. GTEx, BLUEPRINT, ENCODE)
- Knowledge of NGS & genomics statistical analyses and software (e.g. differential expression, eQTL, capture Hi-C, ATAC-seq, MPRA, etc.)
- Statistical programming skills (R/MATLAB)
- Programming/Scripting skills (Python/Perl/Shell/etc.)
- Knowledge of modern human genetics (GWAS, RVAS, etc.)
- Knowledge of network/graph theory and application to genomics
Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we’re inventing for life.
Employee Status: Regular
Number of Openings:
Shift (if applicable):
Company Trade Name: Merck
Nearest Major Market: Boston