Merck Associate Principal Scientist, Bioinformatics in Boston, Massachusetts

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 on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Today, we’re doubling down on this goal. Merck Research Laboratories is a true scientific research facility of tomorrow, and will take Merck’s leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.

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.

  • Analyze, visualize and summarize molecular data from oncology clinical trials and from large proprietary and public molecular databases. Identify biomarkers and molecularly defined groups of patients most likely to benefit from individual therapies, and identify mechanisms of therapeutic response and resistance.

  • Effectively present data analysis methods and results across a wide span of internal organizations, including Therapeutic Area Biology, Translational Medicine, Pharmacology, Statistics, Bioinformatics, and Information Technologies.

Education Minimum Requirement:

  • Phd in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component.

  • 5 years post-PhD experience developing and applying computational biology methods in a pharma, biotech or academic setting. (Minimum 2 years as research scientist following postdoctoral fellowship).

Required Experience and Skills:

  • Demonstrated expertise with scientific computation environments (Matlab and/or R highly preferred).

  • Hands-on analysis experience with large genetic, genomic, and clinical datasets

  • Hands-on experience with key NGS bioinformatics tools (BWA, GATK etc) and with linux high performance environment (shell scripting, python).

  • Proven ability to effectively collaborate with colleagues from a wide range of disciplines.

  • Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses.

  • Independent, flexible and collaborative mindset.

Preferred Experience and Skills:

  • Expertise in statistical learning and its application to biological problems.

  • Understanding of the major concepts of immuno-oncology biology and of the interaction between tumor and the immune system as represented in molecular data.

  • Experience with analysis of data originating from clinical trials.

  • Record of publishing in high profile scientific journals.

Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of its manifestations.

Job Bioinformatics

Merck is an equal opportunity employer, Minority/Female/Disability/Veteran – proudly embracing diversity in all of its manifestations.

Title: Associate Principal Scientist, Bioinformatics

Primary Location: NA-US-MA-Boston

Requisition ID: BIO005159