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.

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.