Summer Intern/Computational Biology
Description of Department:
The Human Genetics & Computational Biology (HGCB) organization is one of the key components of GSK’s research strategy, which focusses on the science related to the immune system, the use of human genetics, and the application of advanced technologies. HGCB supports drug discovery and development across the GSK R&D organization through integrative analysis of all forms of genetics and genomics data as well as the development of new computational and statistical methods to understand the underlying biological mechanisms driving disease. We contribute to multiple phases of the drug discovery pipeline and our work drives the development of new medicines for diseases with unmet medical need.
Job Description:
This position will allow the selected candidate to work on a project related to single cell analysis in the context of drug discovery. The scope of the project can include new method development and/or direct contributions to target identification and validation projects via computational analysis and integration of single cell datasets.
Generally, the day-to-day activities will include:
- Literature review of cutting-edge computational methods for single cell analysis.
- Design and perform a benchmark study to compare the performance of existing methods.
- Apply cutting-edge computational methods to large scale single cell sequencing data related to human diseases.
- Present results at team meetings to the GSK scientific community.
Basic Qualifications:
- Pursuing a PhD degree in computational biology, bioinformatics, statistics, computer science, data science, machine learning, or a related quantitative field.
- Comfortable with a programming language (such as R or Python) for complex data analysis.
- Knowledge of fundamental concepts in biology and statistics.
- Must be able to work full-time (35-40 hours/week) throughout the 12-week internship cycle (May-July/August).
- Must have an active student status and/or within 12 months post-graduation from a BS or MS degree program. Post-doctoral candidates are not eligible.
Preferred Qualifications:
- Demonstrated experience in the analysis of single cell sequencing data (scRNA-seq and/or CITE-seq).
- Experience in using python for large scale single cell sequencing data analysis is desired.
- Skills to collect, integrate, mine and analyze complex biological data and translate them into testable hypotheses.
- Knowledge of and experience with common bioinformatics databases, resources and tools.
Eligibility Requirements:
- Must successfully pass a drug screen and background check prior to assignment target start date.
- Must provide your own funding for relocation and commuting.
If you are hired for an on-site role, you will be required to provide Atrium with proof of COVID-19 Vaccination as a part of the on-boarding process on behalf of GSK. GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons.