Postdoctoral Fellow - Evolutionary & Computational Biology

Rutgers University; Piscataway Township (NJ); On-site; USD 64,000 - 76,000; Full time

Benefits offered by this job

Medical, prescription drug, dental

Paid vacation, holidays, and leave

Competitive retirement benefits

Educational benefits

Life insurance

Employee discount programs

Job summary

The Kaelber lab in the Department of Molecular Biology and Biochemistry at Rutgers University invites applications for a Post Doctoral Associate. The position focuses on dry-lab methods development in evolutionary biology, including Bayesian reconstructions and AI approaches.

Ideal candidates have a PhD and strong background in structural biology, bioinformatics, or HPC. Collaboration with wet-lab colleagues and teaching mentorship are expected; a dynamic, research-rich environment at Rutgers’

Qualifications

• Ph.D. in life sciences, chemical sciences or related field.
• Excellence in at least two areas: structural biology, programming/HPC, bioinformatics or evolutionary theory.
• Experience with computational methods and data analysis preferred.

Responsibilities

• Develop and benchmark evolutionary analysis methods using protein structures.
• Conduct rigorous evaluations against validation sets and publish findings.
• Collaborate with wet lab scientists and interdisciplinary teams.
• Mentor 1–2 undergraduate students in the lab.

Skills

Structural biology

Programming & HPC

Bioinformatics

Evolutionary theory

Education

Ph.D. in life sciences or related field

Tools

High-performance computing

Cloud computing

Local workstations

Job description

The Kaelber lab in the Department of Molecular Biology and Biochemistry at Rutgers University invites applications for a Post Doctoral Associate. The position focuses on dry-lab methods development in evolutionary biology, including Bayesian reconstructions and AI approaches.

Ideal candidates have a PhD and strong background in structural biology, bioinformatics, or HPC. Collaboration with wet-lab colleagues and teaching mentorship are expected; a dynamic, research-rich environment at Rutgers’