Veterans Preferred - Cell Biologist, Genomic Assay Development

Upper Providence, Pennsylvania, US
May 07, 2021
May 28, 2021
Employment Type
Full time
Salary Type
Military Veterans are Encouraged to Apply.
GlaxoSmithKline is looking for a highly motivated and creative Cell Biologist to join the department of Screening, Profiling & Mechanistic Biology (SPMB) at GSK's research facility in Upper Providence, Pennsylvania. The primary responsibility of the SPMB department is to deliver high quality, biologically relevant pre-clinical leads for all GSK therapeutic areas, by employing a combination of scientific tools and methodologies, including but not limited to assay development, high throughput screening, compound profiling, and mechanism of action studies.

As a Cell Biologist in SPMB, your role would be to identify, develop, and implement high-throughput assay systems. Potential platforms include transcriptomic, genomic, metabolomic, and proteomic readouts. Applicants should have strong cell biology abilities, particularly with primary cells, and background in bioinformatics.

The successful candidate will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists with expertise in various disciplines. The successful candidate will design, develop and execute trans-omic methodologies to enable new capabilities to implement a broader strategy to support and guide drug discovery process in multiple disease areas within GSK.

This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following...

Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals:

  • Bachelor's Degree or Master's degree in biological sciences (such as Cell Biology, Immunology, or Molecular Pharmacology) or computational biology
  • 3-5 years of lab-based experience in an academic or industry context
  • Experience with cell biology, cell culture, and cell-based assay development
  • Experience in implementation of trans-omic methodologies
  • Demonstrated experience in the analysis and integration of multi-omics data (e.g. transcriptomics, genomics, proteomics) for disease research
  • Experience in a programming language (such as R or Python) for complex data analysis

Preferred Qualifications: If you have the following characteristics, it would be a plus:
  • Independent planning and execution of experiments
  • Knowledge of and experience with common bioinformatics databases, resources and tools.
  • Experience with data and/or results from large scale differential gene expression analysis of compound and genetic perturbations.
  • Ability to work independently and in team-based settings.
  • Strong verbal and written communication skills

Why GSK?
Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
  • Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk.
  • Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
  • Continuously looking for opportunities to learn, build skills and share learning.
  • Sustaining energy and well-being.
  • Building strong relationships and collaboration, honest and open conversations.
  • Budgeting and cost-consciousness.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

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