Senior Scientist, Systems Biology

Merck & Co. • West Point, PA

280d • Onsite

About The Position

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 an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you will have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career. Applications are sought for an opportunity in the Vaccines & Advanced Biotechnologies department, which is part of our Company's Research Labs division. The individual will support our Company's discovery & development efforts at West Point, PA. The Vaccines & Advanced Biotechnologies department, part of our Company's Research Labs, is looking for a passionate and talented systems biologist with expertise in the generation and analysis of complex multi-dimensional and multi-scale biological data to join our research team and support our Company's discovery & development efforts at West Point, PA. In this role, you will be at the very leading-edge of therapeutic research and development, developing and implementing experimental and computational tools in a dynamic and scientifically rigorous environment. You will operate in a highly collaborative and matrixed organization and engage with cross-functional teams of experimental and computational biologists, data scientists, and colleagues across our Company's ecosystem to drive a diverse therapeutic pipeline.

Requirements

• Ph.D. in Systems Biology, Computational Biology, Computer Science, Biostatistics, Genetics, Immunology, Mathematics, Molecular Biology, Statistics, or related field.
• Masters in areas mentioned above with 4+ years of experience.
• Bachelors in above areas with 8+ years of experience.
• Demonstrated experience with experimental and/or computational strategies and interpretation of large-scale biological data.
• Demonstrated fluency with generation and/or analysis of diverse large-scale NGS experimental datasets.
• Demonstrated experience with statistical hypothesis testing methodology and machine learning concepts and methods.
• Experience with integrating results generated from multiple data sources.

Nice To Haves

• Understanding the pros and cons of various algorithms for DNA-seq, RNA-seq, single-cell RNA-seq and/or functional genomics data.
• Familiarity with the data and analytic capabilities of public repositories.
• Familiarity with public databases, and repositories of DNA, RNA, protein, single-cell, as well as functional genomics data.
• Experience extracting meaningful biological insights from high-dimensional biological readouts.
• Strong publication record.

Responsibilities

• Directly contribute to multiple stages of therapeutic development through rigorous design and/or implementation of high-dimensional functional genomics and cellular profiling assays.
• Perform statistically rigorous quantitative analyses while employing reproducible research and data integrity practices on large-scale biological datasets.
• Analyze, interpret, and summarize complex biological data and employ data visualization tools to facilitate communication of findings to broader audiences.
• Identify, analyze, and integrate internal and external data and knowledge resources to enable data mining in a biological context and inform actionable learnings to drive pipeline development.
• Develop and implement experimental and/or computational methods to integrate findings from functional genomics screens and other data sets with additional biological data streams.
• Provide clear interpretation of high-dimensional data and propose candidates for further computational and biological interrogation.
• Engage with cross-functional teams to translate biological hypotheses into experimental and/or computational interrogations of functional genomics data.
• Work in a highly collaborative environment, tightly embedded in project teams across scientific disciplines and functions.
• Survey relevant literature on novel experimental and computational methods and introduce them into in-house portfolio of workflows.
• Keep up to date on project-relevant literature and attend relevant conferences.
• Further your professional development by participating in workshops and seminars aimed at personal and professional growth.

What This Job Offers

• Job Type: Full-time
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree