Job Details Job Location Saint Louis - Saint Louis, MO Position Type Full Time Education Level Graduate Degree Description A full-time position for a Postdoctoral Associate or Research Scientist is available in the Slotkin Lab, at the Donald Danforth Plant Science Center. The Slotkin Lab research project explores the uses of genome editing in Arabidopsis and crops. The candidate will use the combination of transposable elements and gene editing to design, build and test approaches to engineer plant genomes. A Ph.D. is required, with previous experience desired in molecular cloning, CRISPR-Cas, transposable elements or plant transformation. The position title offered will be determined based on candidate's qualifications and experience and should align with their career goals. For more information, visit our website Responsibilities: <ul><li>Maintain precise records of research findings and the analysis of results</li><li>Establish and run design / build / test pipelines to engineer plant genomes</li><li>Mentor others and work collaboratively in the lab to learn and aid in other projects</li><li>Work collaboratively as part of a team, and mentor graduate and/or undergraduate students as appropriate</li><li>Present research at professional meetings</li><li>Other duties as assigned</li></ul> Required knowledge, skills, and abilities: <ul><li>Ability to demonstrate project leadership and guidance for other research associates or graduate students as necessary </li><li>Goal oriented individual who thrives in a fast-paced environment</li><li>Able to organize, multitask their time efficiently and work both independently and collaboratively within a multidisciplinary and interactive research environment</li><li>Effective communication skills and ability to produce high-quality oral and written research products</li><li>Strong problem solving and critical thinking skills</li><li>Live the Danforth Center values: Collaboration, Diversity & Inclusion, Innovation, Integrity & Respect, Environmental Sustainability, and Stewardship</li></ul> Qualifications Qualifications <ul><li>A Ph.D. in a field related to Plant Molecular Biology, Genetics, Genomics, Bioinformatics or other related field is required</li><li>Experience with plant transformation is desired</li></ul> Submission: <ul><li>Cover letter that includes a statement of past research experience and career goals </li><li>CV </li><li>Contact information for three (3) professional references</li></ul> About the Donald Danforth Plant Science Center: Founded in 1998, The Donald Danforth Plant Science Center is an independent, non-profit organization with a mission to improve the human condition through plant science. Our focus is scientific research at the nexus of food, energy and the environment to improve the productivity and sustainability of agriculture. We assemble interactive teams of scientists and develop unique platforms to discover underlying principles about how plants work. We then convert that knowledge into useful crops and products, and partner with organizations that are best positioned to solve problems where they exist around the world. The Center's work is funded through competitive grants from many sources, including the National Institutes of Health, U.S. Department of Energy, National Science Foundation and the Bill & Melinda Gates Foundation The Donald Danforth Plant Science Center is proudly an equal employment opportunity employer. Employment decisions at the Danforth Center are based on merit, qualifications, and abilities. It is our policy that the Danforth Center does not discriminate in employment opportunities on the basis of race, color, religion, sex, sexual orientation, gender identity, age, or national origin and status as protected veterans or individuals with disabilities. If you need a reasonable accommodation to access the information provided on this web site, please contact Human Resources, at 314-587-1033 for further assistance.

A full-time position for a Postdoctoral Associate or Research Scientist is available in the Slotkin Lab, at the Donald Danforth Plant Science Center. The Slotkin Lab research project explores the uses of genome editing in Arabidopsis and crops. The candidate will use the combination of transposable elements and gene editing to design, build and test approaches to engineer plant genomes. A Ph.D. is required, with previous experience desired in molecular cloning, CRISPR-Cas, transposable elements or plant transformation. The position title offered will be determined based on candidate's qualifications and experience and should align with their career goals. For more information, visit our

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. All About You We are seeking a highly motivated Research Scientist to join an interdisciplinary project at the intersection of computer networks, artificial intelligence, and cyber-physical systems aimed at transforming agricultural research and data sharing. This project, funded by the NSF, aims to develop a secure, scalable systems to streamline data collection, processing, and data sharing in precision agriculture. This PRN role (up to 30 hours per week) is ideal for individuals who are passionate about developing AI-driven solutions for real-world problems and improving the security and efficiency of networked systems. Key Responsibilities: <ul><li>Design and implement secure communication protocols to support data sharing across multiple agricultural sites using networked edge devices.</li><li>Develop AI algorithms for distributed deep learning that optimize training time and ensure data privacy when processing imagery.</li><li>Integrate multimodal data from diverse sensors into a unified system that can dynamically allocate resources based on network and computational conditions.</li><li>Collaborate with a multidisciplinary team, including plant scientists, geospatial scientists, and software engineers, to evaluate system performance and deploy prototypes on real-world farms.</li><li>Contribute to the design of a web-based platform for data visualization and sharing, allowing farmers and scientists to access and analyze processed datasets.</li><li>Participate in preparing technical reports, scholarly publications, and grant proposals.</li></ul> Knowledge, Skills, & Abilities: <ul><li>Strong knowledge of computer networks, security, and distributed systems.</li><li>Advanced knowledge of AI and machine learning frameworks (e.g., PyTorch, TensorFlow) is required.</li><li>Proficiency in Python, C++, and knowledge of web-based frameworks (e.g., Django, Flask).</li><li>Familiarity with cloud computing platforms (AWS, GCP) is preferred.</li><li>Working knowledge of cyber-physical systems, IoT security, or edge computing is highly desirable.</li><li>Excellent written and oral communication skills, with the ability to work in a multidisciplinary environment.</li><li>Self-motivated with a strong problem-solving mindset.</li></ul> Minimum Qualifications: Bachelor's in Computer Science or related field. Preferred Qualifications: Pursuing a Master's or Ph.D. in Computer Science (ABD eligible). This position is being funded by an NSF grant, therefore continuation in this position is contingent upon funding availability. Function Unclassified Positions Scheduled Weekly Hours: 30 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. We welcome and encourage applications from minorities, women, protected veterans, and individuals with disabilities (including disabled veterans). If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

We Are Accenture is helping companies use generative AI to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Generative AI and LLM Center of Excellence (http://www.accenture.com/us-en/services/applied-intelligence/generative-ai?c=acn_glb_largelanguagemonewsroom_13451725&n=mrl_0323) brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. + You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems. + You have a deep understanding and ability to remain at the forefront of generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios). + As needed by the specific problem, you train and/or fine-tune generative AI models and evaluate on the specific problem. + As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value. + You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals. The Work + Participate internal and external discussions to gather business use case requirements, provide on the spot AI expertise and AI solution options for business problems. + Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised learning, transferred-learning, and fine-tuning techniques. + Design, develop and implement highly sophisticated Gen AI based applications including generative agent and similar architectures which support multiple Gen AI models to work together for complex tasks. + Lead technical teams and grow true AI expertise within broader team including offshore + Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the AI solutions meets the needs and expectations of various stakeholders. + Develop and execute an AI solution project plan with team, timeline, and infrastructure dependency. + Define and implement a value justification approach to the AI solutions; estimate solution cost with right technological choices; and calculate ROI. + Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the solution, capture IP, facilitating seamless understanding, knowledge transfer and future development. + Collaborate with academia partners to stay on the cutting edge of AI, especially Gen AI technologies, provide through leadership on AI trend, AI use case innovation trend, new AI opportunities, or foreseeable limitation, risks, and concerns. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's What You Need + Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models. + Minimum of 4 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models. + Minimum of 4 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space. + Minimum of 4 years of working knowledge and familiarity with different LLM driven application architecture patterns. + Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs. + Minimum of 4 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture. + Minimum of 4 years of proven experience with processor and system-level performance modelling. + Minimum of 2 years of experience of technical team management or team mentoring. + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associates Degree, must have minimum 6 years' work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Maryland, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards) Role Location Annual Salary Range California $73,000 to $220,400 Colorado $73,000 to $190,400 District of Columbia $77,700 to $202,700 New York $67,600 to $220,400 Maryland $67,600 to $176,300 Washington $77,700 to $202,700 #LI-NA #LI-MP What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce) Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

Research Scientist Jobs in Saint Louis, MO

Postdoctoral Associateresearch Scientist Slotkin Lab
December 11, 2024

Postdoctoral Associateresearch Scientist Slotkin Lab
December 11, 2024

Research Scientist Iot And Cyberphysical Systems Prn
December 11, 2024

Advanced Ai Research Scientist Associate Manager
December 4, 2024

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Research Scientist Jobs in Saint Louis, MO

Postdoctoral Associateresearch Scientist Slotkin LabDecember 11, 2024

Postdoctoral Associateresearch Scientist Slotkin LabDecember 11, 2024

Research Scientist Iot And Cyberphysical Systems PrnDecember 11, 2024

Advanced Ai Research Scientist Associate ManagerDecember 4, 2024

Quick filters

Top companies

Postdoctoral Associateresearch Scientist Slotkin Lab
December 11, 2024

Postdoctoral Associateresearch Scientist Slotkin Lab
December 11, 2024

Research Scientist Iot And Cyberphysical Systems Prn
December 11, 2024

Advanced Ai Research Scientist Associate Manager
December 4, 2024