Urgent Requirements PHD or Masters Required- Data Scientist with remote sensing and plant phenotyping imaging with agriculture
Suman Bakshi
Team JD:
- AI Model Training: Assemble data and fine-tune large language models and similar models focusing on biology and the life sciences.
- Data Integration: Collaborate with interdisciplinary teams across R&D to gather, preprocess, and integrate diverse datasets from agriculture, environment, and genomics, ensuring data quality and relevance.
- Protein Design: Leverage fine-tuned models to generate novel designs of native plant genes to improve target phenotypes.
- Genomics Modeling: Incorporate genomics data on novel designs along with other data types (e.g. high-resolution genome assemblies, k-mers, skim-seq, gene expression, etc.) into AI models to predict performance in various populations, optimizing crop traits and resilience, enhancing overall agricultural productivity.
- Collaboration: Work closely with scientists, biologists, IT professionals, and engineers to align AI initiatives with organizational goals and ensure effective implementation of models.
- Trust Building: Engage with stakeholders to communicate the benefits and limitations of AI in agriculture, fostering trust and transparency in the technology.
- Continuous Improvement: Stay updated on the latest advancements in AI and genomics, applying new techniques and methodologies to refine models and enhance their accuracy.
- Documentation and Reporting: Prepare comprehensive documentation of methodologies, findings, and model performance, and present results to both technical and non-technical audiences.
- Team Contribution: Actively participate in team meetings and collaborative projects, sharing knowledge and insights with other Machine Learning Researchers to drive innovation and improvement.
Who You Are
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
- PhD with 5+ years experience (including PhD) Educational preparation or applied experience in at least one of the following areas: Machine/Deep Learning, Bayesian Statistics, Uncertainty Quantification, Genomics, Computational Biology, Computer Science, Probability, Probabilistic modeling, Nonlinear Dynamics, Hierarchical models, Applied Mathematics, or other related quantitative discipline
JD:
We are seeking a highly skilled and experienced Data Scientist with a strong background in deep learning and image processing to join our dynamic team. The ideal candidate will have a proven track record of working with imagery (such as remote sensing and plant phenotyping imaging) and will utilize advanced deep learning techniques to develop predictive models using this imagery.
Key Responsibilities:
Data Science:
1. You will leverage your expertise in image analysis, statistical analysis, deep learning models to analyze complex imagery data, developing actionable insights that drive agricultural operations.
2. You will write comprehensive model documentation detailing problem formulation, modeling approach, validation, data requirements, and implementation steps.
3. You will adhere to data science best practices, including peer review, code review, documentation, coding standards, and ensuring reproducibility.
4. You will build cross-functional relationships to partner with the business stakeholders and collaborate with Data Science community to co-develop innovative solutions.
5. You will communicate results to key stakeholders in a clear and compelling manner.
Qualifications:
1. You have Ph.D. (or MS with 4+ years of post-MS experience) in one of the following areas: Data Science, Computer Vision, Deep Learning, Imagery and Robotics.
2. Imagery Experience: You have experience working with imagery and deriving insights from imagery (such as remote sensing data and phenotyping imaging).
3. Familiarity with analytical techniques specific to image analysis is essential, and experience in plant phenotyping image analysis is a significant advantage.
4. Deep learning and Machine Leaning: You possess a strong understanding of deep learning and machine learning frameworks, statistical concepts, and data analysis techniques. Demonstrated proficiency, experience in using image labeling tools and applying machine learning and deep learning methods to image data is highly desirable.
5. Cloud Computing: You have familiarity with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) and understand how to leverage these tools for data processing and model deployment.
6. Programming: You are proficient in Python or other high level programming language with hands on experience in using machine learning and deep learning libraries (eg., OpenCV, TensorFlow, PyTorch etc).
7. You are adept at writing clean and maintainable code and adhere to coding best practices, including version control using Github.
8. Soft skills: You have a high sense of ownership and are motivated to deliver valuable analysis. You have excellent communication skills and can clearly explain technical concepts to non-experts.
Warm Regards,
Suman G. Bakshi | Recruitment Head
Global IT Con LLC. WILMINGTON, DE 19801
Email: sum...@globalitcon.com
https://www.linkedin.com/in/sumanbakshi/
saikr...@meridiansoft.com
Please find below the profile(s):
Name: Kumar
Technology: DataScience
Experience: 13 yrs
Visa: H1B
Location: TX
Relocation: NO, Remote Only
Thanks & Regards,
Sai | Bench Sales Recruiter
saikr...@meridiansoft.com
Desk: (380)388-3683
meridiansoft.com
linkedin.com/in/sai-krishna-avvari