"Assistant Research Scientist- Computational Immuno-Oncology"

Assistant Research Scientist- Computational Immuno-Oncology

Requisition #: A-168160-3

Status: Full Time

Type: Non Tenure Track - Full Time

School: Whiting School of Engineering

Department/Program: Institute for Computational Medicine

Salary: 62,132 - $74,500

Location City: Baltimore

Location State: MD

Location Zip Code: 21218

Closing Date: Open until filled

To apply: apply.interfolio.com/168160

General Description

The Karchin Lab at Johns Hopkins University is hiring an Assistant Research Scientist to develop cutting-edge computational methods in cancer immunotherapy. Join our dynamic team and help shape the future of computational immuno-oncology.

What You'll Do:

• Design and apply innovative computational approaches to analyze immune response in cancer.
• Focus on T-cell receptor (TCR) repertoire analysis and other immunogenomic datasets.
• Collaborate with leading scientists in oncology, bioinformatics, and immunology.
• Contribute to high-impact publications and translational cancer research.

Why Join Us?

• Be part of a top-ranked research institution.
• Work on innovative projects with real-world impact in cancer research.
• Mentorship, career development, and networking opportunities.
• Competitive compensation and benefits.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Immunology, or a related field.
• Experience with TCR repertoire analysis and computational immunology.
• Proficient in R, Python, HPC and cloud environments.
• Strong communication skills and a collaborative mindset.
• Must be a U.S. resident.

Application Instructions

Please submit your CV, a short statement of research interests, and references.

To apply for this position, visit: apply.interfolio.com/168160

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.