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
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
  

Institution
Scienion/Pacific Northwest National Lab
Location
Richland, WA, USA

Description
Joint appointment - Scienion/PNNL

SCIENION US, INC is looking for an outstanding candidate for a postdoctoral position working on projects associated with technology advancements and biological applications of high-throughput single-cell multi-omics in collaboration with the Environmental Molecular Sciences Laboratory (EMSL), a national scientific user facility at Pacific Northwest National Laboratory (PNNL) in Richland, WA.

Qualifications

•  Advanced degree in molecular biology, biochemistry, or related field
  
• PhD in molecular biology, genetics, or biotechnology is preferred
  
• Experience with next-generation sequencing techniques, with experience in plate based single-cell RNA-seq methods (e.g., Smartseq2)
  
• Expertise with a wide range of molecular biology skills, including DNA and RNA extraction, reverse transcription, in vitro transcription, PCR, QRT-PCR
  
• Familiarity with computational biology tools, and experience working with computational biologists to solve problems. Experience with single-cell computational biology methods  
  
• Demonstrated scientific productivity and drive as evidenced by a strong publication record
  
• Ability to work collaboratively in a fast-paced, interdisciplinary research team.
  
• Excellent prioritization and organization skills
  
• US Citizenship required