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Post-Doctoral Fellow (Libault Lab)

10/31/2023

 
Apply
Institution
University of Missouri-Columbia
Location
Columbia, MO, USA
Apply By
Review of applications will begin November 15, 2023
Close Date
Until filled

Description
The University of Missouri-Columbia, Bond Life Sciences Center invites applications for a Post-Doctoral Research Associate position in plant single-cell computational biology in the Libault Lab. This 12-month (calendar year), full-time (1.0 FTE) special appointment will focus on expertise bioinformatics, computational biology, machine learning, and plant genomics. The apportionment is 100% research.

The Libault lab seeks to explore and understand the network of plant genes, and their regulation in response to environmental stress at the single-cell level. These discoveries will lead to the development of new strategies to improve crop characteristics and performance. Therefore, using single-cell-omics datasets, the postdoctoral associate will work on genomics, epigenetics, and/or bioinformatics/computational biology to characterize and functionally validate plant cell-type-specific transcriptional programs, their regulation in response to environmental stresses, and their differential regulation between plant species.

The selected postdoctoral researcher will have opportunities to work and develop computational resources to conduct:
  • Comparative analyses of gene expression between crop species.
  • Analyses of plant single-cell-omics datasets, integration of multiomic datasets, transcriptomic trajectories, and prediction of gene networks.

Qualifications
A PhD in plant computational biology/genomics, bioinformatics, machine learning, 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, excellent oral and written communication skills, and the ability to work in a team environment.
  • A solid knowledge of plant genomics, evolution, gene expression/regulation, and biological networks.
  • Persuasive communicators 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's values.

Assistant Professor - Plant Systems Biology

10/23/2023

 
Apply
Institution
Iowa State University
Location
Ames, IA, USA
Apply By
December 1, 2023 for full consideration

Description
As part of a campus-wide strategic faculty hiring initiative in the emerging research area
of climate science and sustainability, the Department of Genetics, Development and Cell Biology at Iowa State University seeks to hire an assistant professor in Plant Systems Biology. The applicant is expected to use modern genetic and genomics approaches such as genome editing, single-cell RNA-seq, multi-omics, computational modeling, network analysis and/or predictive phenomics. Research topics may include but are not limited to understanding how plants respond to abiotic stresses such as drought, heat, cold, and/or biotic stresses such as bacterial, fungal and insect challenges, plant signaling networks, and a long-term goal of developing resilient crops. The incumbent has the opportunity to address fundamental plant biology questions related to agricultural sustainability and to collaborate with scientists across the ISU campus including in the Crop Bioengineering Center and the Plant Sciences Institute.

Required Qualifications
  • Ph.D. in biological sciences at the time of appointment OR Ph.D. in other fields
with 1+ years of postdoctoral research in biological sciences.

Preferred Qualifications
  • Strong potential for conducting and publishing innovative research in an appropriate research topic in plant systems biology.
  • Postdoctoral experience using contemporary genetics and genomics approaches
  • Strong record of research success and productivity.
  • Commitment to enhancing existing research strengths at ISU such as by engaging in interdisciplinary or collaborative research.
  • Teaching experience and/or commitment to student-centric teaching and to mentoring.
  • Potential for success in securing extramural funding.

Candidates should submit a cover letter, CV, a statement of research plans (3 pages max), a teaching and mentoring statement (1 page max) and the names and contact information for three referees.

Genomics Data Scientist Single Cell Sequencing

8/18/2023

 
Closed
Institution
Bayer
Location
Chesterfield, Missouri, USA
Salary Range
$103,000/yr - $154,000/yr USD

Description
As part of a collaboration project focused on single cell sequencing for agricultural biology, we are seeking a passionate and creative scientist to join the Crop Science Plant Biotechnology genomics team. This two-year position will be focused on cutting edge functional genomics analysis to generate insights into the genome biology of various eukaryotic systems. This genomics data scientist will be part of an interdisciplinary team with expertise in Cell Biology, Genomics, and Data Science to move forward specific high-impact projects for crop science.

The ideal candidate will be able to implement cloud-based genomics pipelines and improve and optimize them; be able to generate insights from genomic data on various eukaryotic systems; work well with cross-disciplinary and global teams; and be able to articulate findings and integrate his/her work into the established R&D teams.

Responsibilities
  • Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline.
  • Independently perform statistical analysis, computer programming, predictive modeling and experimental design.
  • Build cross-functional relationships to collaboratively partner with the business and effectively network amongst diverse scientific disciplines within data science, genomics, and biotechnology-based communities.
  • Contribute to the development of code, bioinformatic analyses pipelines, computational tools, and databases for mining and visualizing large genomic data sets.
  • Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators.
  • Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.
Qualifications
  • PhD in a relevant domain, including genomics, computational biology, molecular biology & genetics, etc.
  • Educational preparation or applied experience in at least one of the following areas: Machine Learning, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology or other related quantitative discipline.
  • Demonstrates intermediate proficiency in computational skills and level of experience analyzing large datasets and/or building data models using R, Python or other statistical and/or mathematical programming packages.
  • Demonstrates basic understanding of software development best practices (Version Control, Code Documentation & Review, Cloud Based Sequence Analysis, Database Management).
  • Intermediate proficiency in machine learning algorithms and concepts.
  • Experience in successful delivery of valuable analysis through application of domain knowledge.
  • Strong communication competencies including presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders.

Post-Doctoral Research Position in Plant Systems Biology (Wilkins Lab)

8/18/2023

 
Apply
Institution
University of Manitoba
Location
Winnipeg, Manitoba, Canada
Apply By
September 20, 2023 for full consideration
Start Date
January 2024 (negotiable)

Description
A post-doctoral fellow position is available to study interactions between plant roots and microbial inoculants using phenotypic screening, single cell, and spatial RNA-sequencing technologies starting January 2024 or as soon as thereafter as possible. The successful candidate will work with the Plant Systems Biology Group, in the Department of Biological Sciences at the University of Manitoba, Canada. The successful candidate will join a large multi-year, multi-institutional project, including academic and industry partners, which aims to reduce greenhouse gas emissions from agricultural systems by leveraging microbial inoculants to promote crop nutrient uptake.

Responsibilities
The successful candidate will be a project lead on plant computational biology and will work closely with other postdoctoral and postgraduate researchers working on related parts of the overall project. This opportunity will allow the candidate to explore and develop their own ideas within the context of the project and the research expertise of our group. The lab is a diverse and collaborative workplace that is committed to building an environment of integrity and respect where science and scientists can flourish.

The successful candidate will:
  • Perform the research described for our portion of this collaborative project, while adhering to performance standards and reporting timelines.
  • Contribute to quarterly reporting, and exchanging data, materials, and ideas with collaborating research teams.
  • Explore novel research ideas related to the goals of the project and/or research group.
  • Mentor graduate students working on related projects.
  • Write and publish manuscripts with the team.
  • Cultivate skills in project management and within-team communication, scientific writing, and oral presentations and will be supported to gain expertise in these areas.
  • Participate in team meetings, to share data and progress, and to take ownership of their research questions.
Qualifications
  • PhD in a field relevant to plant systems biology or functional genomics is required.
  • Hands on experience in computational biology and functional genomic research required.
  • Demonstrated ability to work independently and as a member of a team.
  • Demonstrated leadership and communication skills including publications in peer-reviewed journals.
  • Experience in one or more of the following: advanced functional genomic assays, microscopy, plant phenomics and physiological assays, computational biology.
Interested applicants should send a letter stating their interest in this position, a complete CV, and contact information for three references to [email protected]. Only applicants selected for further consideration will receive a response.

Ph.D. Position in Plant Functional Genomics (Plant Functional Genomics Group)

5/26/2023

 
More Info
Institution
University of Alberta
Location
Edmonton, Alberta, Canada
Close Date
July 31, 2023
Start Date
January 1, 2024

Description
The Uhrig lab is focused on understanding how plant cells are regulated throughout the day at the
protein-level using advanced quantitative proteomics, biochemistry and diverse functional genomic
techniques. At the protein-level, protein post-translational modifications (PTMs) such as protein
phosphorylation, play a critical role in the regulation of cellular processes. The PhD research of the
applicant will focus on utilizing quantitative proteomics and functional genomics to define novel intersections between cell signaling events and the underlying cellular processes governing plant growth and development. To undertake this work, the student will utilize the model plant Arabidopsis thaliana, but will be part of a research program utilizing a diversity of plant systems directly and through extensive collaboration.

Qualifications
  • BSc or MSc in biochemistry, plant science or equivalent.
  • Excellent oral and written abilities in English.
  • An ability to work both independently and collaboratively as part of a team.
  • Tangible hands-on experience with molecular and/or biochemical techniques.
  • Basic bioinformatics experience (e.g. R, Python).

Eligibility, Admissions and Finances
For all admission requirements and funding details on graduate studies in the Department of Biological Sciences, please refer to the Department of Biological Sciences website. Admission is subject to academic and English language requirements set by the Department.

Interested students are highly encouraged to apply for eligible internal and external graduate student scholarships and will receive active support from the Uhrig lab in these funding applications. Additional funding and financial aid opportunities for international students can be found here.

Post-Doctoral Research Associate - Single-Cell Computational Biology (Libault Lab)

5/25/2023

 
Closed
Institution
University of Nebraska-Lincoln
Location
Lincoln, Nebraska, USA
Open Date
May 23, 2023
For full consideration apply by:
June 26, 2023

Description
The University of Nebraska-Lincoln, Institute of Agriculture and Natural Resources, Department of Agronomy and Horticulture, Center for Plant Science Innovation invites applications for a Post-Doctoral Research Associate position in plant single-cell computational biology in the Libault Lab. This 12-month (calendar year), full-time special appointment will focus on expertise in bioinformatics, computational biology, machine learning, and plant genomics. The apportionment is 100% research.

The Libault lab seeks to explore and understand the network of plant genes, and their regulation in response to environmental stress at the single-cell level. These discoveries will lead to the development of new strategies to improve crop characteristics and performance. Therefore, using single-cell-omics datasets, the postdoctoral associate will work on genomics, epigenetics, and/or bioinformatics/computational biology to characterize and functionally validate plant cell-type-specific transcriptional programs, their regulation in response to environmental stresses, and their differential regulation between plant species.

Qualifications
A Ph.D. in plant computational biology/genomics, bioinformatics, machine learning, or a related field is required at the time of hiring. Prior knowledge and demonstrated expertise in next-generation sequencing data analysis, computational systems biology, and/or data integration, excellent oral and written communication skills, and the ability to work in a team are also required.

Preference will be given to candidates with a solid knowledge of plant genomics, evolution, gene
expression/regulation, and biological networks.

Postdoctoral Visiting Scientist – Single-Cell and Spatial Genomics

3/7/2023

 
Closed
Institution
Corteva Agriscience
Location
Des Moines, Iowa, USA

Description
Corteva Agrisciences has an exciting opportunity for a Postdoctoral Visiting Scientist to serve as an integral member of a team focused on implementing single-cell and spatial transcriptomics technologies and applying those technologies to conduct novel research towards the discovery of genetic and epigenetic factors driving plant tissue and cell’s responses to various internal and external inducers. The role will require strong technical skills, an ability to communicate with other scientists to accomplish objectives, and strong management skills to deliver on various technical projects. The position will be part of the Genome Sciences group, located in Johnston, IA, in the Des Moines metro area.

The ideal candidate will have strong molecular biology skills, including a deep knowledge of single-cell genomics-based applications, along with a proven familiarity with next-generation DNA & RNA sequencing technologies. The postdoctoral scientist will lead efforts to implement new single-cell and spatial platforms and technologies, conducting research and analyzing results to determine best outcomes and methodologies for various crop-related projects of interests. The postdoctoral scientist will be encouraged to communicate research outcomes through publication in peer-reviewed journals, participation in scientific community working groups, and presentations at key scientific conferences. This is an exciting opportunity where the candidate will be given direct access to a variety of cutting-edge technologies, and the opportunity to collaborate with world-class plant and molecular biology scientists.

Qualifications
  • Ph.D. in plant biology, genomics, molecular biology, or related scientific field
  • Demonstrated experience in single cell/protoplast/nuclei manipulation in plant, molecular biology, and functional genomics
  • Knowledge of plant cellular biology and bioinformatics (R, Python…)
  • Previous exposure to tissue preparation and microscopy would be a plus
  • Demonstrated ability for protocol testing and development, along with experiment planning, execution, and troubleshooting
  • Ability to work independently with minimal supervision and in a collaborative team environment
  • Excellent verbal and written communication skills, ability to disseminate complex technical issues in a clear, concise manner to a variety of audiences

Postdoctoral Fellow (Otegui Lab)

1/30/2023

 
More Info
Institution
University of Wisconsin-Madison
Location
Madison, WI, USA
Close Date
Until filled

Description
A postdoctoral position is available immediately at University of Wisconsin-Madison. A highly motivated individual is sought to analyze molecular and cellular changes associated with desiccation tolerance in plants and other organisms. These studies will integrate advanced light and electron tomography imaging with molecular genetics and biochemistry, in the laboratory of Dr. Marisa Otegui.

The postdoctoral fellow will be a member of the Water and Life Interface Institute (WALII). WALII studies how life interacts with water, from the molecular to the organismal level, across plants, fungi, and animals. WALII is a virtual institute, with scientists located at nine research facilities across the United States. Working together, WALII team members aim to uncover the rules by which organisms interact with water, exploring four integrated themes: 1) the physical and molecular determinants that allow organisms to survive in the solid state; 2) rehydration responses in desiccation-tolerant and -sensitive systems; 3) the molecular grammar of desiccation tolerance conferred by intrinsically disordered proteins; and 4) the short- and long-term evolutionary history of desiccation tolerance. WALII team members have diverse expertise, ranging from biophysics to plant biology, and experience with several desiccation-tolerant and -sensitive systems.

Qualifications
  • Ph.D. in biochemistry, cell biology, imaging, plant biology, genetics, or a related field.
  • Experience with microscopy imaging.
  • Excellent written and oral presentation skills and the ability to work collaboratively with others.
Preferred Qualifications
Experience with transmission electron microscopy and cryo-electron microscopy.

Postdoctoral Fellow (Exposito-Alonso Lab)

1/30/2023

 
More Info
Institution
University of California, Berkeley
Location
Berkley, CA, USA
Salary
$65,000 / year
Open Date
November 2022
Close Date
Until filled

Description
The Exposito-Alonso Laboratory seeks to recruit a highly motivated and skilled researcher with training in molecular biology, plant genetics, or bioengineering. We aim to understand the impacts of climate change on plant species, from a molecular evolution angle. The project will leverage ecological genomics modeling to identify genes involved in dehydration tolerance and water use efficiency in Arabidopsis, and will use CRISPR-based genetic engineering, developmental genetics, and microscopy techniques to understand the molecular mechanism of such adaptive genes.

The postdoctoral fellow will be a member of the Water and Life Interface Institute (WALII). WALII studies how life interacts with water, from the molecular to the organismal level, across plants, fungi, and animals. WALII is a virtual institute, with scientists located at nine research facilities across the United States. Working together, WALII team members aim to uncover the rules by which organisms interact with water, exploring four integrated themes: 1) the physical and molecular determinants that allow organisms to survive in the solid state; 2) rehydration responses in desiccation-tolerant and -sensitive systems; 3) the molecular grammar of desiccation tolerance conferred by intrinsically disordered proteins; and 4) the short- and long-term evolutionary history of desiccation tolerance. WALII team members have diverse expertise, ranging from biophysics to plant biology, and experience with several desiccation-tolerant and -sensitive systems.

Responsibilities
  • The position requires leading research independently, preparing publications, and presenting research in scientific meetings. Postdocs in the lab are also examples and mentors to graduate students.
  • Designing and conducting phenotyping of dehydration traits in experiments in the greenhouse and/or field.
  • Willingness to work closely with lab members, and initiative to be an active member of WALII.
  • Contributing to lab-wide chores towards a productive and positive lab.

Qualifications
  • BSc + PhD in any of the following areas: molecular biology, biochemistry, cell biology, genetics, bioengineering.
  • A track record of research productivity and independence.

Postdoctoral Research Scientist (Patron Group)

11/29/2022

 
Closed
Institution
Earlham Institute
Location
Norwich, UK
Salary
£33,050 - £40,750
Open Date

November 21, 2022
Close Date
January 12, 2023

Description
Dr Patron’s lab works on plant gene regulatory networks and metabolism, applying engineering approaches to understand biological complexity and advance plant biotechnology. In recent work, we have characterised a transcriptional regulatory network involved in modulating the architecture of root systems in response to changes in nutrient availability.

This project will investigate how this network functions across cell types and examine how cell-type-specific responses to changes in the environment mediate developmental plasticity. This knowledge will be used to inform and enable cell-type specific engineering with the aim of predictably modulating plant responses to nutrients. The post holder will be responsible for the production and analysis of single-cell sequencing datasets and the construction and characterisation of engineered plants. They will also contribute to the development of single-cell sequencing methods and assist in the training and development of PhD students.

Qualifications
  • The successful candidate will have a PhD in molecular biology, systems biology, plant biology, or a related subject.
  • They will have an interest in gene regulation and plant biotechnology, with previous experience in plant molecular biology.
  • It will be advantageous if the post holder has experience or a demonstrated interested in transcriptomics.
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