Bioinformatics postdoc and/or programmer position:
The Su Lab develops and applies the tools of bioinformatics to a diverse array of scientific projects. These initiatives span the spectrum from infrastructure development (e.g., building biomedical knowledge bases based on open science principles) to biomedical discovery (e.g., identification of new targets and mechanisms underlying diseases like osteoarthritis and Fanconi anemia).

We are recruiting for a bioinformatics postdoc and/or programmer position(s) to join us as part of CViSB. This individual(s) will be responsible for helping to design and implement software solutions to manage the data and analyses produced by the Center. The two primary objectives are:

• To create data acquisition and analysis workflows that abide by the principles of reproducible research.
• To maximize community reuse of Center-generated resources based on the FAIR Data principles.

This position(s) will be part of an interdisciplinary team of scientists, biologists, clinicians, and computational scientists.

Requirements include:

• Ph.D. in computational biology, computer science, mathematics, physics, or equivalent.
• A strong foundation of programming skills, including version control.

Preferred qualifications include:

• Python and/or R expertise.
• History of contributions to open source projects.
• Experience with data mining and machine learning.
• Experience with HPC.
• Experience with Common Workflow Language or similar.

Interested candidates should submit their CV (including links to code) and cover letter to [email protected].

Postdoc position in Immunology:
The Briney lab combines cutting-edge sequencing technology and computational immunogenetics approaches to investigate protective immune responses to viral infection. We have active research projects in several areas, including HIV, Lassa and Ebola. We are looking for a postdoc to lead a new systems immunological project primarily focused on identifying functional and genetic features in the adaptive immune response that are associated with desirable clinical outcomes.

Primary tasks will include:

• Create and improve techniques for large-scale, cost efficient sequencing of adaptive immune receptor repertoire (TCR and BCR).
• Oversee and directly participate in the isolation and characterization of neutralizing monoclonal antibodies from survivors of Lassa and Ebola infection.
• Work closely with computational biologists to develop novel computational tools for evaluation of antibody repertoire development, maturation and function.

Requirements include:

• Ph.D. in immunology, genetics, molecular biology, or similar is required.
• Independent, highly motivated and passionate about harnessing emerging technology to answer fundamental questions about viral immunology.
• Familiarity with common molecular biology techniques (cloning, protein production and purification, assessment of antibody binding/neutralization) is highly desirable.
• Experience performing next-generation sequencing is highly desirable, especially experience with the 10X Genomics single-cell analysis platform.
• Experience handling and manipulating large sequence datasets is highly desirable.
• Programming skills in a scripting language (our lab primarily uses Python) are not required, but would be a major plus. Although programming proficiency is not required, the ability to assist in the development of novel computational tools by providing immunological guidance and support to computationally-focused lab members is critical.
• Strong interpersonal skills and the ability to work with and mentor junior scientists and students.

Interested candidates should submit their CV and cover letter to [email protected]. Please have at least three referees email their references directly to [email protected].

Data Science and Computational Phylogenetics:
We are looking for a quantitative postdoc to lead novel statistical development projects focused on large-scale survival analyses incorporating phylogenetic information from Lassa and Ebola virus infections. This position is part of a larger initiative with the recently established Center for Viral Systems Biology.
Requirements include:

• Ph.D. in biostatistics, statistics, computer science, computational biology or equivalent.
• Computational statistics skills, experience with high-performance computing preferred.
• Knowledge of Bayesian statistics.
• Experience with survival analysis and with genetics / genomics.
• Interest in phylogenetics.
• Strong interpersonal skills and the ability to work with and mentor junior scientists and students.

Interested candidates should submit a CV with links to code repositories and papers and a cover letter to [email protected]. Please have at least three referees email references directly to [email protected].