Post-Doc Research Associate: Computational Design, , Cambridge, MA, USA

Post-Doctoral Fellowship Position at USA, Ozbolat Laboratory at Penn State
Post-Doc Research Associate: Computational Design: A two-year post-doctoral opportunity focused on utilizing advanced computational techniques to innovate and optimize protein-based properties in vaccine design, specifically targeting bacterial and viral antigens.

Designation:

Post-Doc Research Associate

Table:

FieldDetails
Research AreaComputational Design in Vaccine Development
LocationCambridge, MA (initially in Waltham, MA)
Eligibility/QualificationPhD in Computational Science, Bioinformatics, Data Science, or related field
Job DescriptionInvolvement in the design and optimization of protein antigens with a focus on stability, solubility, and expression. Collaboration with interdisciplinary teams and enhancement of computational infrastructure.
How to ApplySubmit your CV and cover letter highlighting fit with the required skills and competencies.
Last Date to ApplyPlease check the company website for specific deadlines.

Research Area:

The role emphasizes design and optimization in the fields of protein engineering and vaccine development.

Location:

The position is based in Cambridge, Massachusetts, with initial work scheduled in Waltham, MA.

Eligibility/Qualification:

  • PhD in Computational Science, Bioinformatics, Data Science, or a related field.
  • Experience in:
  • Python programming and libraries (NumPy, Pandas, SciPy, scikit-learn).
  • Machine learning frameworks (e.g., PyTorch).
  • Computational protein design methodologies and tools.
  • Training and fine-tuning protein models.

Job Description:

The Post-Doctoral Research Associate will engage in:

  • Developing and optimizing protein-specific properties such as expression, stability, and solubility across various antigen design projects.
  • Employing AI-driven and physics-based techniques to navigate complex biological landscapes.
  • Creating a comprehensive pipeline for antigen design and collaborating with experimental labs and data tech teams to validate designs.
  • Enhancing computational infrastructure and standardizing data processes within the team.

How to Apply:

Interested candidates should prepare a CV and a cover letter that outlines how they fit the required skills and competencies for the role. Applications should be submitted through the official GSK career portal.

Last Date to Apply:

For the exact deadline to submit your application, please refer to the GSK career website for updates.


This post highlights the essential aspects of the job opportunity for potential applicants.

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