Post Doctoral Fellow - Libault Lab

Plant Cell Atlas (PCA); Indiana (PA); On-site; USD 50,000 - 65,000; Full time

Job summary

The Libault Lab at the University of Missouri is seeking a Postdoctoral Researcher to advance single-cell plant genomics through bioinformatics, computational biology, and ML approaches. You will analyze multi-omics data, build gene networks, and collaborate with internal and external partners to push crop trait insights.

Ideal candidates hold a Ph.D. in plant computational biology/genomics or bioinformatics and have strong communication skills and a collaborative mindset.

Qualifications

• Ph.D. in plant computational biology/genomics, bioinformatics, or a related field at hiring time.
• Experience with next-generation sequencing data analysis.
• Strong communication and teamwork skills.

Responsibilities

• Analyze single-cell resolution multi-omics datasets and develop analytic approaches.
• Conduct comparative -omics analyses and network predictions across species.
• Collaborate with lab members and external partners; take on committee and reporting duties.

Skills

bioinformatics

computational biology

machine learning

plant genomics

Education

Ph.D. in Plant Computational Biology/Genomics or related field

Job description

Institution

University of Missouri - The Libault's Lab

Location

Columbia, Missouri, USA

Close Date

Applicants will be accepted until the positions are filled

Position Summary

The Libault’s lab has two openings for Postdoctoral Researcher looking to harness their expertise in bioinformatics, computational biology, machine learning, and plant genomics. Our lab seeks to explore and understand the network of plant genes, their regulation in response to environmental stress at the single-cell level, and the conservation and divergence of these responses between plant species. These discoveries will support the development of new strategies to improve crop traits and performance.

Responsibilities

• Analyze, integrate, and interpret single-cell resolution multi-omics datasets, notably by developing innovative analytic approaches such as establishing transcriptomic trajectories and predicting gene networks.
• Conduct comparative -omics analyses between crop species.
• Develop innovative approaches to integrate multi-omic datasets, transcriptomic trajectories, and prediction of gene networks.

The selected postdoctoral researcher will also work in close collaboration with other lab members and with external collaborators.

In addition to the above-described duties, the individual will be expected to accept committee assignments, reporting responsibilities, and other special ad hoc assignments as requested at the administrative unit, college, and/or university level.

Minimum Qualifications

Candidates are expected to have a Ph.D. in plant computational biology/genomics, bioinformatics, or a related field is required at the time of hiring.

Candidates Will Be Evaluated On

• Prior knowledge and demonstrated expertise in next-generation sequencing data analysis, computational systems biology, and/or data integration;
• The ability to work in a team environment.
• A solid knowledge of plant genomics, evolution, gene expression/regulation, and biological networks
• Excellent oral and written communication skills with exceptional organizational and time management skills
• Durable skills such as leadership, character, collaboration, communication, creativity, critical thinking, metacognition, mindfulness, growth mindset, and fortitude, as well as customer service, confidentiality, integrity, and a commitment to the University values