Postdoctoral Fellow - Columbia, United States - University of Missouri

Description

Job Description

Bond Lifesciences Center would like to hire up to two Post Doctoral Fellows. Duties would include:

(1) Analyze diverse types of biological data, including next generation sequencing (NGS) such as RNA-seq, single cell RNA-seq, and others, multiomics data integration and microbiome data. Prepare and publish manuscripts and reports.

(2) Develop machine learning and deep learning methods and algorithms for high-throughput biological phenotypic data, in silico hypothesis generation and predictions. Develop and maintain standalone software and web services in bioinformatics and computational biology such as IMPRes, G2PDeep and others.

(3) Contribute towards web-based SoyKB and KBCommons framework and new tools development.

(4) Build automatic workflow or pipelines for specific biological problems using HPC and cloud storage.

(5) Assist in grant and proposal writing.

(6) Coordinate or participate in collaborative bioinformatics research and training workshop and graduate course development.

(7) Manage lab resources and train, supervise and review work of other lab members and students in the lab.

Qualifications

Qualified candidate should have a PhD degree in Bioinformatics, Computer Science or related field by start of the appointment.

Candidates will be evaluated on:

• Experience in management and supervision of lab members and graduate and undergraduate students.
• In-depth capabilities in understanding, implementing and developing bioinformatics data analytics tools, computational methods and algorithms, databases, web-development, multiomics, data integration, modern machine learning/deep learning methods and statistics inferences algorithms and related tools.
• Excellence in R, Python, Perl, JAVA, SQL, MongoDB and related web development in Unix/Linux environment.
• Working experience in analysis of high-throughput bulk and single cell genomics, multiomics and microbiome data.
• Knowledge of biological databases and their application for plant and biomedical sciences.
• In-depth knowledge in bioinformatics and systems biology algorithms.
• Experience with workflow management systems like Pegasus, Snakemake, etc., High Performance Computers, Cloud Storage and GPU programming.
• Familiarity with use of Amazon web services (AWS) resources.
• In-depth experience of bioinformatics problem solving, tools, design and development process.
• Proactive team player with excellent communication and presentation skills.

Application Materials

Please provide a current Curriculum Vitae, letter of interest, and contact information for three references.

Benefit Eligibility

This position is eligible for University benefits. The University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts. For additional information on University benefits, please visit the Faculty & Staff Benefits website at

Values Commitment

We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.

In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research and engagement.

Equal Employment Opportunity

The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit .