***This is a Manager / Senior Manager-level role*** 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 Senior AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. + You lead teams 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 & leaders 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 6 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models. + Minimum of 6 years of experience of experience in building, fine-tuning Foundation models including LLMs and multi-modal models. + Minimum of 6 years of strong working knowledge of the different technologies, their differences, modalities in the Generate AI space. + Minimum of 6 years of working knowledge and familiarity with different LLM driven application architecture patterns. + Minimum of 6 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs. + Minimum of 6 years of working knowledge of computer architecture, and familiarity with the fundamentals of GPU architecture. + Minimum of 6 years of proven experience with processor and system-level performance modelling. + Minimum of 3 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 $131,100 to $336,900 Colorado $131,100 to $291,100 District of Columbia $139,600 to $309,900 New York $121,400 to $336,900 Maryland $121,400 to $269,500 Washington $139,600 to $309,900 #LI-NA-FY25 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.

Austin, TX, Chicago, IL, Minneapolis, MN, New York, NY, San Francisco, CA, Washington DC, United States of America Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. As a Senior Scientist and Assessment Lead , you will leverage your extensive expertise in psychometric assessment, scale development, and innovative measurement approaches to drive BetterUp's mission of advancing human flourishing through developmental interventions. In this role, you will design and implement product-centered, assessment-fueled research to create and validate developmental assessments that generate key insights for individuals, teams, and organizations. These assessments inform personalized developmental paths, contribute to workplace well-being, and support individual growth. You will bring a deep understanding of personality, social, or I/O psychology to develop novel tools that are both scientifically rigorous and practical for workplace applications. Using your psychometric expertise and a deep understanding of BetterUp’s product, market, and business needs, you will develop and maintain assessment content, support a broader assessment strategy, and consult on assessment-related projects. This is an excellent role for someone who wants to immerse themselves in and rapidly contribute to a fast-paced, scrappy, startup environment. You’ll work side-by-side with talented, mission-driven, and stimulating colleagues who thrive on solving pressing workforce challenges leveraging leading-edge technologies and uncommonly authentic and rich data sources related to human growth and well-being. <h3>Responsibilities </h3><ul><li>Design and develop innovative, development-centric assessment tools, including psychometrics, validation, reporting, analytics, and data modeling. </li><li>Analyze behavioral data uniquely high in veracity, volume, and variety to generate client insights and individualized precision development via the BetterUp product and platform. </li><li>Produce written and visual reports of findings for internal audiences, for select clients as a behavioral science and assessment expert, and for conferences and academic publications. </li><li>Collaborate Across Disciplines: Work closely with cross-functional teams, including data scientists, product managers, and other researchers, to ensure assessments are effectively integrated into products and deliver actionable insights. </li><li>Champion Continuous Improvement: Regularly review and improve existing assessment tools and practices, incorporating feedback from users and advancements in the field to ensure ongoing relevance and effectiveness. </li><li>Integrate GenAI/ML in Assessment: Explore and implement unconventional scoring methods using GenAI and machine learning to enhance the accuracy and applicability of assessments in real-world settings. </li><li>Foster External Partnerships: Build and maintain relationships with academic institutions, industry partners, and other research organizations to foster collaboration and innovation in assessment science. </li><li>Communicate Science: Share your findings and the impact of your work through various channels, including internal presentations, scientific publications, webinars, and conferences. Amplify BetterUp’s reputation as a global thought leader in developmental psychology and workplace well-being. </li> </ul><h3>Requirements </h3><ul><li>Advanced degree (PhD required) in a behavioral science or social discipline (e.g., industrial/organizational, experimental, clinical, or educational psychology; public health, cognitive neuroscience, behavioral economics, computational social science), with a heavy quantitative focus for this training. </li><li>Required: At least 3 years (5-6 preferred) of relevant industry (non-academic, full-time, post-graduation) experience as an applied researcher. </li><li>Proficient in R or Python as a toolset for data access, statistical analysis, visualization, and automated reporting in the context of research and large/diverse/evolving datasets. Experience with SQL and/or Looker preferred. </li><li>Extensive experience in developing and validating psychological assessments, particularly for developmental interventions in the workplace. </li><li>Expertise in human behavioral data psychometrics and analysis. Proficient in Qualtrics. Experience building data pipelines using the Qualtrics API preferred. </li><li>Proven ability to conduct rigorous scientific research and apply findings to practical, real-world contexts. </li><li>Exceptional written and verbal communication skills as exhibited by a strong ability to clearly communicate technical information to both technical and non-technical audiences. </li><li>Experience with GenAI/ML in unconventional scoring methods, behavioral markers of personality and their application to workplace settings, NLP techniques for developmental assessment and learning applications preferred are a strong advantage. </li><li>A collaborative mindset, with experience building partnerships across academia, industry, and other sectors. </li> </ul><h3>Additional Information </h3>At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. <ul><li>Access to BetterUp coaching; one for you and one for a friend or family member </li><li>A competitive compensation plan with opportunity for advancement </li><li>Year-round charitable contribution of your choice on behalf of BetterUp </li> </ul>We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with our Applicant Privacy Notice . If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out to #J-18808-Ljbffr

About the Job  Research Scientist 2 will report directly to a Postdoctoral Fellow on high-impact research projects aimed at in vivo gene therapy for treatment of Fanconi anemia. Work on these projects will lead to co-authorship on multiple academic papers. This position will include maintaining a mouse colony (e.g. genotyping and setting up breeding cages), molecular biology techniques (e.g. genomic DNA preparation, PCR, restriction enzyme digestion), biochemical techniques (e.g. Western blot analyses), and advanced mammalian cell culture techniques (e.g. CRISPR-based gene editing approaches).
70% Lab Experiments
20% Data Compilation and Analysis
10% Routine Lab Maintenance
Where:
Cancer and Cardiovascular Research Building
Drs. Branden Moriarity and Beau Webber's Laboratories
When:
Immediately
Qualifications   All required qualifications must be documented on application materials
Required Qualifications:
BA/BS in biological sciences field plus at least 1 year of experience or a combination of related education and work experience to equal five years.
Preferred Qualifications:
Experience in mouse research
Experience with PCR
Experience with mammalian cell culture
Pay and Benefits   Pay Range:  $20.00 - $30.00/hr; depending on education/qualifications/experience
Time Appointment:  75%-100% Appointment
Position Type:  Civil-Service & Non-Faculty Labor Represented Staff
Please visit the  Office of Human Resources  website for more information regarding benefit eligibility.
The University offers a comprehensive benefits package that includes:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF)  opportunity
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
How To Apply  Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
Diversity  The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U:   http://diversity.umn.edu
Employment Requirements  Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
About the U of M   The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
The University of Minnesota Medical School
Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.
The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students' education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations.
Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud.

#J-18808-Ljbffr

<h3>About the Job </h3>Research Scientist 2 will report directly to a Postdoctoral Fellow on high-impact research projects aimed at in vivo gene therapy for treatment of Fanconi anemia. Work on these projects will lead to co-authorship on multiple academic papers. This position will include maintaining a mouse colony (e.g. genotyping and setting up breeding cages), molecular biology techniques (e.g. genomic DNA preparation, PCR, restriction enzyme digestion), biochemical techniques (e.g. Western blot analyses), and advanced mammalian cell culture techniques (e.g. CRISPR-based gene editing approaches). <ol><li>70% Lab Experiments </li><li>20% Data Compilation and Analysis </li><li>10% Routine Lab Maintenance </li> </ol>Where: Cancer and Cardiovascular Research Building Drs. Branden Moriarity and Beau Webber's Laboratories When: Immediately <h3>Qualifications </h3>All required qualifications must be documented on application materials Required Qualifications: <ul><li>BA/BS in biological sciences field plus at least 1 year of experience or a combination of related education and work experience to equal five years. </li> </ul>Preferred Qualifications: <ul><li>Experience in mouse research </li><li>Experience with PCR </li><li>Experience with mammalian cell culture </li> </ul><h3>Pay and Benefits </h3>Pay Range: $20.00 - $30.00/hr; depending on education/qualifications/experience Time Appointment: 75%-100% Appointment Position Type: Civil-Service & Non-Faculty Labor Represented Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: <ul><li>Competitive wages, paid holidays, and generous time off </li><li>Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program </li><li>Low-cost medical, dental, and pharmacy plans </li><li>Healthcare and dependent care flexible spending accounts </li><li>University HSA contributions </li><li>Disability and employer-paid life insurance </li><li>Employee wellbeing program </li><li>Excellent retirement plans with employer contribution </li><li>Public Service Loan Forgiveness (PSLF) opportunity </li><li>Financial counseling services </li><li>Employee Assistance Program with eight sessions of counseling at no cost </li> </ul><h3>How To Apply </h3>Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail or call (612) 624-8647. <h3>Diversity </h3>The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: <a > </a> <h3>Employment Requirements </h3>Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. <h3>About the U of M </h3>The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022). The University of Minnesota Medical School Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery. The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students' education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. #J-18808-Ljbffr

<h3>Apply for Job </h3> Job ID: 350345 Location: Twin Cities Job Family: Research-Researchers Full/Part Time: Full-Time Regular/Temporary: Regular Job Code: 9742R5 Employee Class: Acad Prof and Admin <h3>About the Job </h3>Seeking a talented and highly motivated Bioinformatics Research Scientist to develop, optimize, and implement data analysis pipelines and analytical tools that enable comprehensive tumor genomic profiling for cancer biology research and cellular senescence biomarker discovery. <h3>Primary Responsibilities and Duties </h3><ol><li>Process, analyze and interpret high volumes of data as part of collaborative research projects. Develop automated methods and software pipelines to support large-scale bioinformatics analysis. Develop and implement novel analytical tools, and capable of troubleshooting the technical steps in developing new tools. </li><li>Benchmark performance characteristics of published and emerging analytical pipelines and single cell genomics analysis algorithms. </li><li>Monitor and evaluate analytical algorithms development for new/emerging bioinformatics, genomics and sequencing technologies. </li><li>Work independently and prepare timetables, deliverables, and project schedules. </li> </ol><h3>Qualifications </h3><h3>Required Skills and Experience </h3><ol><li>Fluency in one programming and one scripting languages is required (Python, R/Matlab/Splus, Perl, Java). </li><li>Experience in developing algorithms for analysis of biological data. Experience in algorithm development for analysis of massively parallel sequencing data (NGS seq, RNA-seq/scRNAseq etc.) is highly desirable. </li><li>A track record of publications in the academic setting. </li><li>Strong scientific understanding of molecular biology and genomics. </li><li>Excellent teamwork, time management and organizational skills. </li><li>1 or more years of research training. </li> </ol><h3>Desired Skills and Experience </h3>Experience in cancer research, including a working understanding of computation approaches for cancer genome analysis, is highly desirable. <h3>Required Education & Experience </h3>Master or Ph.D. in Bioinformatics, Computational Biology, Computer Science or related computational fields. At least one year of research training. <h3>Benefits </h3>Working at the University At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work. The University also offers a comprehensive benefits package that includes: <ul><li>Competitive wages, paid holidays, and generous time off. </li><li>Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Scholarship. </li><li>Low-cost medical, dental, and pharmacy plans. </li><li>Healthcare and dependent care flexible spending accounts. </li><li>University HSA contributions. </li><li>Disability and employer-paid life insurance. </li><li>Employee wellbeing program. </li><li>Excellent retirement plans with employer contribution. </li><li>Public Service Loan Forgiveness (PSLF) opportunity. </li><li>Financial counseling services. </li><li>Employee Assistance Program with eight sessions of counseling at no cost. </li> </ul>Please visit the Office of Human Resources website for more information regarding benefits. <h3>How To Apply </h3>Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail or call (612) 624-UOHR (8647). <h3>Diversity </h3>The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: <h3>Employment Requirements </h3>Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. <h3>About the U of M </h3>The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. #J-18808-Ljbffr

The pay range is $126,600.00 - $273,500.00Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at <a href="#">Target Benefits</a>.JOIN US AS A LEAD OPERATIONS RESEARCH SCIENTIST – ENTERPRISE NETWORK STRATEGYAbout Us:As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.Target Global Supply Chain and Logistics (GSCL) is evolving at a fast pace. We are constantly reimagining how we get the right product to the right guest faster and more efficiently. The Network Planning and Global Intelligence (NPGI) team is at the forefront of defining the future roadmap for GSCL. The NPGI team includes intelligence product teams and aligns them with network planning experts to build industry-leading inventory management and last-mile capabilities. The NP&GI team is made up of Network Planning & Decision Sciences, Future Transportation, Inventory Health, Sales and Operations Planning, and Order Management System.About This Opportunity:Do you want to shape the future Supply Chain and Logistics strategy for a Fortune 50 company and one of America’s leading retailers? Do you want to optimize Target’s Global Supply Chain end to end, from sourcing to delivery of packages to guests? Are you excited at the prospect of analyzing large data sets and developing complex algorithms, simulation and optimization models to solve real-world problems?A role in our Operations Research team gives you the opportunity to contribute to the team that is at the forefront of defining the future Omni-channel operating model for Target’s Global Supply Chain and store. You will develop cutting-edge data pipelines, optimization and simulation models to design and operate Target’s Global Supply Chain in a fast and efficient manner and work with stakeholders across the company in Finance, Merchandising, Stores, and GSCL teams to enable supply chain transformation.As a Lead Operations Research Scientist you will:<ul><li>Develop an understanding of Supply Chain operational and financial metrics through data analysis and perform root cause analysis to understand the drivers of operational performance and define the business problem.</li><li>Retrieve and analyze large amounts of supply chain data at the most granular level and develop key metrics to evaluate performance across Sales, transportation, operations, and inventory.</li><li>Design and implement complex optimization models for network design, routing, and scheduling.</li><li>Utilize operations research and machine learning methodologies (e.g., linear programming, stochastic processes, simulation) to solve complex business problems at scale to understand the strategic impact on the business.</li><li>Collaborate with cross-functional teams including engineers, data scientists, and business stakeholders to formulate solutions and implement recommendations.</li><li>Interpret results from the models and provide insights to the leadership team.</li><li>Lead peers and mentor junior team members as needed based on the project. Lead cross-functional groups across multiple locations.</li><li>Develop a clear and concise story and problem statements with data to influence decision-making with senior leadership teams.</li></ul>Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.About You:<ul><li>PhD or Masters in Operations Research, Data Sciences, Computer Science, Industrial Engineering, Applied Mathematics or relevant work/research experience.</li><li>5+ years of experience in building and developing advanced optimization, simulation, and machine learning models that perform at scale.</li><li>Significant demonstrated expertise in Optimization Theory (deterministic/stochastic), dynamic programming, linear algebra, probability, and statistics.</li><li>Experience solving large-scale operations research problems using decomposition methods.</li><li>Highly proficient in SQL, Big Data/Hadoop and programming in Python or R.</li><li>Excellent interpersonal and communication skills that can partner with global teams.</li><li>Constant learner mentality that stays on the leading edge of supply chain optimization, network planning, operations research, etc.</li></ul>This position may be considered for a Remote or Hybrid (known internally at Target as 'Flex for Your Day') work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team, and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.Americans with Disabilities Act (ADA)In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com.Application deadline is: 01/05/2025.
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The pay range is $126,600.00 - $273,500.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits. JOIN US AS A LEAD OPERATIONS RESEARCH SCIENTIST About Us: As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value and how we work. It's how we care, grow, and win together. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target's investments in technology and innovation. We're the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. About this opportunity: As a Lead Operations Research Scientist on the Target Operations Research team - you'll develop optimization models and algorithms that change the game in our last mile delivery operations. You'll work closely with peer data scientists, machine learning engineers and business partners to continuously learn more about our business and particularly develop a deep understanding of the various processes we have in play. You'll also partner with applied data scientists and engineering in our DAART (Delivery and Automated Routing) team to build and productionize solutions for our business needs including design, development, deployment, and maintenance of algorithms and models which will scale and perform. Our team oversees the development of state-of-the-art mathematical techniques to help solve strategic initiatives for Target's Supply Chain! For example, we're identifying opportunities to reduce variable costs by improving the routing optimization, network configuration, and scheduling. This contributes to the development, implementation, and maintenance of the machine learning components as it relates to forecasting, scheduling and other initiatives that drive service, community experience and costs. This also helps create the metrics to quantify improvements to the network costs resulting from the application of these optimization models. In this role as a Lead Operations Research Scientist on the Target DAART team, you will drive development and deployment of models/algorithms/tools that solve the optimization problems including: <ul> <li>Vehicle routing problem with time window constraint considering mixed capacitated fleet </li><li>Network optimization problems at scale </li><li>Forecast last mile delivery demand - Find optimal schedule to service the demand on time </li><li>Capacity management throughout the Target last mile delivery network </li><li>Work force optimization problem </li></ul>A role in Operations Research team gives you the opportunity to contribute to a pragmatic team that is at the forefront of defining future Omni channel operating model for Target's Global Supply Chain across First, Middle and Last Mile. You will develop cutting edge data pipelines, optimization and simulation models to design and operate Target's Global Supply Chain in fast and efficient manner and work with stake holders across the company in Finance, Merchandising, Stores and Supply Chain teams to enable this transformation at scale. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About You: <ul> <li>PhD or MS in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or relevant work/research experience </li><li>5+ years of experience in building optimization models and algorithms that perform at scale </li><li>Significant demonstrated expertise in Optimization Theory (deterministic/stochastic), dynamic programming, linear algebra, probability and statistics </li><li>Design and implement complex optimization models for Network Design, Routing and Scheduling </li><li>Expertise in Heuristics/Metaheuristics methods </li><li>Experience solving large scale operations research problems using decomposition methods </li><li>Highly proficient in Python, Scala, Java or Kotlin programming </li><li>Deep understanding of data structures, design principals and algorithms </li><li>Ability to test and measure algorithms and models </li><li>Experience in statistical inference, machine learning and AI </li><li>Experience working with large event-driven distributed systems and multi-threaded applications </li><li>Experience deploying ML models with large-scale business impact in commercial setting </li><li>Excellent interpersonal and communication skills that can partner with global teams </li><li>Constant learner mentality that stays on the leading edge of supply chain optimization, network planning, operations research, AI, etc. </li></ul> This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Application deadline is : 01/04/2025

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 Minneapolis, MN

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Research Scientist Jobs in Minneapolis, MN

Advanced Ai Research Scientist ManagerDecember 20, 2024

Senior Research Scientist AssessmentsDecember 12, 2024

Research Scientist 2December 10, 2024

Research Scientist 2December 9, 2024

Bioinformatics Research ScientistDecember 9, 2024

Lead Operations Research Scientist Enterprise Network Strategyremote Or HybridDecember 8, 2024

Lead Operations Research Scientist Enterprise Network StrategyDecember 7, 2024

Advanced Ai Research Scientist Associate ManagerDecember 4, 2024