Senior Scientist, Statistical Genetics

Date: Jul 13, 2019

Location: Boston, MA, US

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Requisition ID: BIO005509

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.

Merck’s Genetics and Pharmacogenomics department (GpGx), composed of scientists with diverse expertise, plays a central role in identifying and moving forward drug targets predicted to be efficacious and safe using human genetics.

The Statistical Genetics group in GpGx is searching for a highly collaborative, inquisitive and rigorous statistical geneticist to join an energetic team of geneticists and computational biologists to transform human genetic discoveries into testable therapeutic hypotheses.


In this exciting role, you will:

  • Actively be involved in the design and analysis of human genetic studies (including GWAS, RVAS, PheWAS) and integration with eQTLs/pQTLs, epigenetic data and Mendelian genetics.
  • Participate in large academic/industry partnerships and leverage data from large biobanks (including FINNGEN, UK Biobank), and will closely interact with colleagues in diverse functional areas to propose and refine therapeutic hypotheses.
  • Be responsible to ensure that Merck is at the forefront of human genetics and is applying the most advanced methods and tools in this constantly evolving field. 

  • Collaborate with scientists from across the organization, and harness the power of human genetics to impact the development of novel therapeutics across cardiometabolic diseases, immunology, neurosciences, oncology, and ophthalmology


Education Minimum Requirement:

A  Ph.D., with a minimum of  2 years post degree experience (academic or industry)


Required Experience and Skills:

  • Solid foundation in statistics and human genetics
  • Track record of active participation in academic consortia or academic/industry partnerships
  • Knowledge of modern summary statistic analysis methods (LD-score regression, summary statistic imputation, co-localization, fine-mapping, etc.)
  • Extensive experience applying rigorous methods to analyze and interpret human genetic data and its association with complex diseases and quantitative phenotypes
  • Knowledge of human disease biology and ability to translate genetic findings into biological hypotheses
  • Solid programming/scripting skills (Python/Perl/R/Shell/etc.)
  • Ability to communicate complex data analysis results in a clear, concise manner to biologists, clinicians and senior management

  Preferred Experience and Skills: 

  • Experience with pathway analysis


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. 
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to
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Job: Bio/Immuno Assay Development
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Employee Status: Regular
Number of Openings: 1
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Company Trade Name: Merck

Nearest Major Market: Boston

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