Veterans Preferred - Sr. Scientist, Computational Biology

Rockville, Maryland, US
Aug 01, 2021
Aug 02, 2021
Biology, Modeling
Employment Type
Full time
Salary Type
Military Veterans are Encouraged to Apply.
Are you interested in making significant contributions and global impact by integrating and analyzing complex, high dimensional data sets, while coaching and mentoring Computational Biologists for the industry leader? Are you excited about opportunities to extract biological knowledge from data and use it in Vaccines R&D projects? If so, GSK's Data Sciences and Computational Vaccinology team in Rockville, Maryland is looking for a Senior scientist Computational Biology and this role could be an ideal opportunity to explore.

For this position we are looking for an expert in RNA bioinformatics combined with strong data science skills. You have in depth knowledge about RNA structure and stability, using AI/ML approaches to sequence modeling, codon optimization, expression optimization, and innate recognition. You will work with scientists in preclinical and technical R&D to optimize RNA vaccines and design experiments to evaluate new ideas.

As a Senior scientist Computational Biology, you will have the opportunity to ensure that data analytics and bioinformatics deliverables for a portfolio of Vaccines R&D projects are at the top of industry standards with respect to scientific excellence, quality and timelines.

Your responsibilities:
This role will provide YOU the opportunity to lead key projects to progress YOUR career. These responsibilities include some of the following:

  • Overseeing and coordinating Data Science and Computational Vaccinology (DSCV) activities on multiple Vaccines R&D projects in partnership with Project teams, Clinical, and Pre-clinical functions
  • Contribute to define the team scientific strategy, processes, and objectives in alignment with the GSK Vaccines R&D strategy
  • Coach and mentor a team of Computational Biologists
  • Perform:
    • Bioinformatics/data analytics activities for Vaccines R&D; data and knowledge integration for hypothesis generation; data modeling for innovative immunological assays, high-dimensional readouts; and human and microbial genomics
    • Development of tailored systems and analytical models for explorative analytics of pre-clinical, clinical, and epidemiological data; development of analysis pipelines using combinations of heterogeneous, high dimensional datasets and tools
    • Advise on study design, readout selection and data formats, data analysis strategies
    • Preparation and publication of scientific papers and congress reports
  • Identify and lead initiatives to innovate, foster collaboration, promote the data driven organization, and improve processes
  • Communicate activities, results, and principles to internal stakeholders and scientific community, translating complex solutions into simple, understandable and effective messages
  • Initiate and lead scientific collaborations with multiple and/or international partners

Why you?
Basic Qualifications: We are looking for professionals with these required skills to achieve our goals:
  • PhD or equivalent work experience in Bioinformatics, Systems Biology, Computational Biology, Engineering, Data and Computer Science, Statistics, or a similar domain
  • Six years of work experience as postdoctoral researcher or equivalent
  • Demonstrated strong proficiency / publication record in one or more of the following areas:
    • Bioinformatics and genomics (including single cell genomics) applied to immunological questions and/or vaccinology
    • Systems immunology, vaccinology and immuno-genomics
    • Data mining and machine learning, multivariate biomarkers discovery and validation for patient stratification
    • Data modeling for individual and integrated analysis of innovative immune assays (e.g., high dimensional flow cytometry, systems serology), high-dimensional readouts
  • Strong programming (R and Python), data analytics, and modeling skills
  • Knowledge of deep learning and awareness of its applications in biology
  • Strong Leadership skills in a scientifically oriented environment
  • Fluent English (spoken and written)
  • Strong communication skills, ability to simplify complex problems and communicate complex solutions in a simple and effective manner
  • Strong networking skills and fluent interactions with one or more scientific communities
  • Ability to influence performance in a matrix organization through negotiation and communication
  • Experienced in leading innovative cross-functional initiatives from inception through to completion involving both multi-disciplinary and geographically remote partners

Preferred Qualifications: If you have the following characteristics it would be a plus:
  • Four years of direct/matrix management and international leadership responsibilities (e.g. principal investigator for international R&D projects in relevant areas)
  • Proactive, teamwork spirit, motivated, resilient and focused
  • Proven capacity to use the theoretical background and education to solve actual problems of R&D projects working and leading small teams in cross-functional setting.
  • Good understanding of the Vaccines or Pharmaceutical industry

Why GSK?
Our values and expectations are 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:

  • Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk.
  • Managing individual and team performance.
  • Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
  • Implementing change initiatives and leading change.
  • Sustaining energy and well-being, building resilience in teams.
  • Continuously looking for opportunities to learn, build skills and share learning both internally and externally.
  • Developing people and building a talent pipeline.
  • Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.
  • Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.
  • Budgeting and forecasting, commercial and financial acumen.


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