Senior principal scientist jobs in Fort Smith, AR - 134 jobs

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at all University of Arkansas institutions will view open positions and apply within Workday by searching for "Find Jobs for Students." University of Arkansas, Fayetteville students will view open positions and apply within Workday by searching for "Find Student Jobs at UAF." All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page. Closing Date: 01/23/2026 Type of Position: Researchers and Scientists Workstudy Position: No Job Type: Fixed Duration of Project/Grant (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation's top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations. The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation's strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life. As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary. Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening. If you have a disability and need assistance with the hiring process, please submit a request via the Disability Accommodations | OEOC | University of Arkansas (uark.edu) : Request an Accommodation. Applicants are required to submit a request for each position of which they have applied. For general application assistance or if you have questions about a job posting, please contact Human Resources at ************. Department: Executive Director I3R Department's Website: i3r.uark.edu Summary of Job Duties: ABOUT THE INSTITUTE FOR INTEGRATIVE & INNOVATIVE RESEARCH (I³R): Established through a transformative gift from the Walton Family Charitable Support Foundation, the Institute for Integrative and Innovative Research (I3R) at University of Arkansas pioneers solutions to wicked problems through convergence research across academic, industry, government, and non-profit sectors to make a positive societal impact by creating and deploying innovations at scale. You will have the opportunity to collaborate with purpose-driven coworkers in one of the fastest-growing and most naturally beautiful regions in the U.S. You will join a growing team of visionary researchers and thought leaders dedicated to working with a thriving entrepreneurial ecosystem to deliver innovative solutions. I³R is committed to building a diverse, collaborative, and inclusive team and cultivating a welcoming atmosphere where all opinions are valued, all voices are heard, and ideas become reality. The I3R MRI facility houses a 3-Tesla Siemens Magnetom Cima.X to support academic and clinical research and care. This state-of-the-art system is designed with several technical advances to enhance imaging capabilities, workflow efficiency, and MRI recipient experience. It has a fast gradient system capable of high-speed structural and functional imaging, and a 64-receiver channel data acquisition system for parallel imaging with acceleration, which permits faster temporal resolution for functional MRI scans. The scanner has industry-leading gradients for human MRI scanning (i.e., gradient rise time = 200 T/m/s on each of the three gradient axes; peak gradient strength = 80 mT/m per axis). Its high performance driven by superior signal-to-noise ratio and AI powered advanced technology delivers high-quality images with faster acquisition time. It has advanced coil technology with a range of options that can be adapted for various anatomical regions and imaging needs and offers sophisticated imaging sequences that support specialized applications such as functional MRI and diffusion tensor imaging. An intuitive user-friendly interface simplifies operation and offers quieter operation and comfortable design to enhance MRI recipient's comfort during scans. A mock-MRI setup is also in the facility as are adjacent rooms to conduct other human health related studies including use of EEG, and fNIRS. Besides the support potential for advanced clinical scanning, the Magnetom Cima.X offers university researchers opportunities to establish stronger collaborations with the Arkansas Children's Research Institute, the University of Arkansas for Medical Sciences, and the Laureate Institute for Brain Research, for MRI in both adult and pediatric populations. Additionally, I3R researchers conducting medical robotics and mixed reality research seek MRI imaging of various anatomical regions. POSITION DESCRIPTION: A full-time MRI Senior Research Scientist position is available at the Institute for Integrative and Innovative Research (I3R) at University of Arkansas. We are looking for a researcher who can engage in state-of-the-art, multi-modal imaging research and in the application and development of novel, advanced imaging methods and data analytic strategies and their applications. The Magnetom Cima.X offers an unprecedented opportunity to be at the forefront of establishing an outstanding research program in multimodal imaging in the Northwest Arkansas region. In addition, there is a tremendous interest and need for support of clinical imaging. Some of the areas of research interest include: 1) development and implementation of novel real-time multimodal EEG and fMRI techniques; 2) development and implementation of quantitative MRI and fMRI protocols and MRS techniques; and 3) development and implementation of techniques for analyzing large and complex data sets involving data from multiple sources (e.g., structural MRI, fMRI, DTI, EEG, bio- and behavioral data). Additional areas of research related to the candidate's expertise are welcome. This position involves supervising and supporting all aspects of the MRI facility daily operations, ongoing clinical imaging research, and scientific collaboration within the I3R and across the University of Arkansas. It is also anticipated that, through partnerships with healthcare providers, the facility will support the advanced MRI needs for the clinical patient population in Northwest Arkansas and neighboring regions. The position offers excellent opportunities in all aspects of MRI technology development, clinical applications, and data analysis in a dynamic, interactive, and transdisciplinary research environment with a diverse team of researchers that include physicists, psychologists, neuroscientists, engineers, and data scientists. The successful applicant will have the ability to work effectively on interdisciplinary teams in a fast-paced environment, work independently and collaboratively with clinical and industry partners, and have excellent communication skills. A professional demeanor and the ability to establish effective working relationships are crucial in building trust and influence to accomplish work within a setting that includes a wide array of individuals, groups, policies, and processes. SUMMARY OF JOB DUTIES: * Manage the I3R MRI facility for safe access and use under federal and state required guidelines. * Supervise MRI technologist and other MRI facility personnel. * Lead cross-functional projects with internal research and clinical (medical, operations, statistics, regulatory) teams as well as external partners. * Design and implement customized MRI (structural, functional, diffusion) image analysis methods, leveraging novel and standard methodologies. * Develop and maintain excellent direct relationships with clinical and research partners, supporting them on site or remotely such as setting parameters for MRIs, developing and updating field-specific protocols, adapting and optimizing equipment to their needs. * Maintain accurate research records and documentation of procedures. * Pursue funding to support the development and evaluation of medical imaging as a lead investigator and as collaborator. * Provide technical guidance and mentorship to researchers and graduate students. * Additional duties as assigned. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others. Qualifications: Minimum Qualifications: * PhD or MD in Medical Physics, Engineering, Neuroscience or a relevant field with specific experience in MRI research * More than three years of postdoctoral experience * Experience in designing and executing clinical MRI studies with human participants * Evidence of direct role and contribution to the medical imaging field (publications in peer-reviewed scientific journals, presentations at imaging-related conferences and/or developed software codes) * Experience in managing multi-faceted and complex data sets and in performing statistical analysis Preferred Qualifications: * Experience with managing an MRI facility * Experience with high-field Siemens MRI systems * MRI Certified by the American Board of Medical Physics and/or certified by the American Board of MR Safety as an MR Safety Expert * Participation in clinical trials and implementation of MRI biomarkers Knowledge, Skills and Abilities: * Knowledge of structural, diffusion, functional MRI procedures and acquisition protocols * Proven expertise in programming and medical imaging & statistical software * Proven leadership, organizational, and communication skills * Highly creative with exceptional abstract problem-solving abilities and attention to detail * Excellent written and verbal communication skills, particularly the ability to present and publish complex scientific approaches and results in an interdisciplinary field as well as to maintain clear and concise documentation * Excellent ability to work effectively in a team environment, across multiple clinical sites Additional Information: This position is renewable annually based on continued need for the position, availability of funding, and satisfactory job performance. Salary Information: A minimum of $150,000 - Commensurate with education and experience. Required Documents to Apply: Cover Letter/Letter of Application, List of three Professional References (name, email, business title), Resume Optional Documents: Proof of Veteran Status Recruitment Contact Information: Julia Menke, *************** - Sr. HR Partner Crystal Ellis, Strategic Talent Acquisition Specialist, ************** All application materials must be uploaded to the University of Arkansas System Career Site ***************************************** Please do not send to listed recruitment contact. Special Instructions to Applicants: Pre-employment Screening Requirements: Criminal Background Check, Sex Offender Registry The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All Application information is subject to public disclosure under the Arkansas Freedom of Information Act. Constant Physical Activity: N/A Frequent Physical Activity: N/A Occasional Physical Activity: N/A Benefits Eligible: Yes

Requisition ID 62101 Position Type (US) Full Time Workplace Arrangement About Kerry Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment. About the role We are seeking a highly motivated and technically skilled Associate Scientist to join our team. In this role, you will support customer requests-both internal and external-from concept development through troubleshooting and commercialization. You will collaborate with cross-functional teams to deliver innovative solutions that meet customer needs and uphold our commitment to quality, taste, and nutrition. Key responsibilities * Support customer projects from ideation to commercialization, including troubleshooting technical challenges. * Participate in brainstorming sessions and develop gold standards in collaboration with Culinary and Subject Matter Experts (SMEs). * Conduct competitive product matching and formulation optimization. * Understand and navigate internal processes to provide effective project support. * Troubleshoot customer processes and provide technical solutions. * Act as a strong customer-facing representative to deliver solutions that "Nourish and Delight." * Assist sales and senior R&D representatives during customer calls with technical and culinary presentations. * Collaborate with cross-functional teams to leverage company strengths and deliver superior taste and nutrition experiences. * Research and apply methods to improve food quality, including flavor, color, texture, nutritional value, and convenience. * Complete project requests as required by customers and manage time efficiently. * Provide technical assistance to customers and internal teams as needed. * Work effectively in team environments. * Ability to taste and smell chemicals, flavors, and food products. * Ability to stand for extended periods in a lab setting and lift up to 50 lbs. Qualifications and skills * Education Bachelor's degree in Food Science, Dairy Science, Microbiology, Chemical Engineering, or related field (Master's preferred). * Experience 3+ years in food product development or applications (internships/co-ops considered). * Strong knowledge of food processing technologies, HACCP, and regulatory standards. * Hands-on experience with pilot plant equipment and laboratory analysis. * Excellent problem-solving skills and attention to detail. * Strong communication and teamwork abilities. * Ability to manage multiple projects and adapt to changing priorities. * Willingness to travel up to 20%. The pay range for this position is $75,602 - $123,432 in Annual Salary. Kerry typically does not hire an individual at the top or near the top of the range, as we are a pay-for-performance company, and this range is set to continue to reward performance annually while in role. Compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate within the above range may be influenced by a variety of factors including skills, qualifications, experience, and internal equity. Kerry offers a competitive benefits package, including medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, Employee Share Plan, Life, disability, and accident insurance, and tuition reimbursement. This job posting is anticipated to expire on Feb 28th, 2026. Kerry is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age disability, protected veteran status or other characteristics protected by law. Kerry will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen. Additional information can be found at Know Your Rights Workplace Discrimination is Illegal (dol.gov). Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name. Recruiter Posting Type DNI

* 493094 * Langston * VP ACADEMIC AFFAIRS (LU) * Staff Full-time * Opening on: Sep 18 2025 * Dean of School of Agriculture (LU) * PhD Add to favorites View favorites Campus LANGSTON Contact Name & Email Nika Wilson, ***************************** Work Schedule Monday through Friday, 8:00am-5:00pm with occasional evenings and weekends. Appointment Length Regular Continuous/Until Further Notice Hiring Range $68,000 - $75,000 Commensurate with education and experience Priority Application Date While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration. Special Instructions to Applicants For full consideration, please include a resume, cover letter and three professional recommendation letters. There are two openings for this position. About this Position The mission of the Langston University American Institute for Goat Research (LU-SL/SAAS-AIGR) is to research, develop and transfer enhanced goat and hair sheep production and distribution system technologies, with impacts at local, state, regional, national, and international levels. AIGR strives to fulfill this mission through excellence in a results-driven, highly productive research program; an effective, client-oriented community-based extension approach; and dynamic international activities that stress business development and human capacity building. The AIGR has in recent years expanded its mission to encompass beef Cattle research and Extension. Cutting-edge research focuses on providing new information that are relevant and usable by producers, researchers, and consumers alike. Enhancing information exchange and producer skill levels through hands-on workshops, field days, and web-based information and interactive components is the goal of the extension program. Care for goat producers worldwide is engendered through international activities that encompass research, human capacity building, and village development. These programs, along with knowledgeable and caring personnel and a dedication to the improvement of the lives of goat and hair sheep producers around the world, have made the LU-AIGR a recognized leader in the arena of small ruminant production technologies. The recently enhanced focus on product development and consumption of meat and milk products has added a new dimension to the AIGR. SL/SAAS and AIGR are committed to excellence in research, extension, teaching, and international programs in accordance with the Land Grant mission of Langston University. More information about SL/SAAS, AIGR, and LU are available at **************** and *********************** ESSENTIAL DUTIES & RESPONSIBILITIES: * Support the research, development, and transfer of enhanced goat and hair sheep production and distribution system technologies, as well as initiatives related to beef cattle research and Extension. * Assist with conducting cutting-edge, results-driven research that provides relevant, usable information for producers, researchers, and consumers. * Help implement the community-based extension program, including organizing hands-on workshops, field days, and other outreach activities. * Contribute to web-based information and interactive components that enhance producer skill levels and knowledge exchange. * Support international activities focused on research, human capacity building, and village development initiatives for goat producers worldwide. * Provide administrative, communication, and programmatic support to ensure excellence in research, extension, teaching, and international programs in alignment with Langston University's Land Grant mission. * Perform other duties as needed to further AIGR's commitment to improving the lives of goat, hair sheep, and cattle producers locally and globally. Required Qualifications * Ph.D. in Animal Science or Beef Cattle, Dairy Science. Demonstrated interest in goats, hair sheep, beef cattle with a strong interest in small ruminant extension as well as related research and teaching activities.(degree must be conferred on or before agreed upon start date) * The candidate should have an extensive knowledge of small ruminant production systems as well as beef cattle with demonstrated expertise in management. * The candidate should be able to write producer-oriented manuscripts for the Internet, popular press articles and materials for sheep and goat handbooks. * Capacity to work cooperatively with others is very important. Langston University is an equal opportunity employer. Our hiring decisions are based on merit, qualifications, and institutional needs, ensuring equal opportunities for all individuals, regardless of race, gender, age, disability, or other protected characteristics. We welcome qualified applicants who share our commitment to academic excellence, community engagement, and fostering a vibrant campus culture. For more information, please contact *****************************. You may also be interested in There are currently no jobs matching this criteria.

A Research Scientist is a full-time contract researcher who will investigate one or more of the priority areas of the Oklahoma Cyber Innovation Institute (OCII) as they relate to cyber research, technology, and education for the majority of their time and effort. These areas are cybersecurity, critical infrastructure protection, smart environments, AI, autonomy, robotics, supply chain manufacturing, and human-machine teaming. Funding should be sought from public and private sponsors for direct problem solving and solution delivery. Research should be applied and use-inspired, with deliverables aligned with external sponsor needs. A portion of time and effort is expected to include: (1) moving research into the OCII educational and training programs, (2) participating in the administration of educational or business expectations, (3) reporting of OCII activities to stakeholders, and (4) supporting the growth of OCII in priority areas and new areas that are introduced as OCII expands. Required Qualifications Preferred Qualifications The minimum qualifications of the position are: * PhD in a field related to OCII priority areas * Post-doctoral experience in a university or industry * Demonstrated experience in and commitment to cyber-related research in OCII priority areas Physical Demands Minimal physical demands.

GovTech is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore's vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. "To Mould the Future of Our Nation" At MOE, we believe in enabling every learner to thrive in a rapidly changing world. As part of our mission, we are building internal AI capabilities to improve student learning outcomes, enhance educator productivity, and strengthen our ability to innovate sustainably. Through the responsible and meaningful application of AI, we aim to advance personalised learning, support teaching, and transform educational operations. As a Lead/Principal AI Scientist, you will play a key role in shaping MOE's AI capabilities by leading the evaluation, optimisation, and deployment of AI models for education. You will partner closely with product managers, engineers, curriculum specialists, and policy teams to design solutions that are pedagogically relevant, technically robust, and ready for scale. Our Team You will be part of the Digital Excellence & Products Division (DXD), a cross-functional team driving MOE's digital transformation across platforms, policies, and products. Our Forward-Deployed AI/Data Science Team focuses on rapidly applying AI to real-world problems in education - from personalised learning and curriculum support to school operations. Rather than building foundational models from scratch, we focus on evaluating and optimising best-in-class generative AI and LLM solutions, adapting them for MOE's unique educational needs. You will also contribute to horizontal AI platform capabilities, including benchmarking frameworks, model evaluation tools, and maturity scaling across initiatives. What you will be working on 1.Evaluate and Deploy AI Solutions for Education * Identify and adapt best-in-class AI/LLM technologies for MOE's learning and administrative contexts. * Optimise and fine-tune models to meet contextual performance goals using open-source or commercial offerings. * Work with engineering and product teams to integrate AI into live platforms and workflows used in schools. 2.Strengthen Evaluation and Platform Capabilities * Lead benchmarking and testing of AI models across pedagogical, technical, and ethical dimensions. * Develop internal evaluation frameworks and tooling for scalable model assessment and governance. * Contribute to the development of horizontal AI infrastructure and model maturity strategies across MOE. 3. Identify and Explore New Use Cases * Collaborate with educators, curriculum specialists, and digital teams to explore emerging opportunities for AI. * Prototype and test applications in content generation, adaptive learning, teacher support, and process automation. 4. Contribute to MOE's AI Strategy and Governance * Support horizon scanning and research into AI trends relevant to education. * Participate in discussions on data policy, AI ethics, and capability-building for public sector AI deployment. What we are looking for * Applied AI Leadership - Evaluate and adapt advanced AI technologies for real-world use in education, focusing on optimisation, integration, and performance tuning. * Evaluation and Experimentation - Design tests, analyse results, and iterate based on learning and feedback. * Collaboration and Communication - Work effectively across curriculum, engineering, and policy teams; explain complex concepts to non-technical audiences. * Ethical and Responsible AI - Apply principles of fairness, privacy, and explainability from the outset. * Outcome-Driven Mindset - Prioritise impact on learners and educators, ensuring solutions are practical and scalable. Required Qualifications and Experience * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; Master's or PhD preferred. * At least 5-8 years of experience in AI, machine learning, or applied data science, with a strong track record of delivering real-world solutions. * Proficiency in Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). * Experience in optimising and deploying AI models in production environments. * Familiarity with LLMs, generative AI, or agentic AI systems. * Strong skills in benchmarking, evaluation design, and model performance analysis. * Excellent collaboration, problem-solving, and technical communication skills. * Passion for public good, and interest in education as a domain for positive AI impact. * Experience in the education sector or with education technology will be considered an advantage. * Candidates will be considered for appointment at the Lead or Principal level depending on experience, expertise, and scope of contribution. Join Us If you're excited about helping shape how AI can responsibly transform education and want to build systems that matter - we'd love to hear from you! If you're excited to turn cutting-edge AI into robust, production-ready systems that power the future of education - we'd love to hear from you. Join us to build AI solutions that matter for the next generation of learners, educators, and public service! GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best. Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

**Meet the Team** Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. **Your Impact** + Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. + Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. + Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. + Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. + Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. **Minimum Qualifications:** + PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. + Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. + Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) + Experience translating research ideas into production systems. **Preferred Qualifications:** + Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. + Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. + Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. + Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. + Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. + MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. + Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Position Overview: Wheeler Bio is seeking a motivated analytical mind with a passion for problem solving, fast-paced environments, and expertise in protein mass spectrometry to join the analytical team. The Analytical Development Scientist will participate in the development of robust analytical techniques designed for seamless transition to a quality control environment in a manner to emphasize “right first time” and prolonged success. The position will require broad scientific knowledge of bioanalytical techniques that are used to assess and characterize proteins with a focus on monoclonal antibodies. Key Responsibilities: 1. Analytical program management: · Manages client analytical programs with a focus on quality and timeline. · Leads analytical method development, transfer, and qualification of robust, fit-for-purpose methods to support cGMP testing. · Designs, participates in, and reviews required analytical testing according to pre-defined plans and protocols. · Writes and reviews analytical plans, protocols, SOPs, and summary reports. · Leads transfer of analytical methods to Quality Control. · Collaborates with team members and clients to troubleshoot and solve complex problems to meet project needs. 2. Data analysis and communication: · Possesses advanced knowledge of protein biochemistry, analysis, and associated techniques. · Independently uses and applies complex instrumentation, computer systems, and software for data acquisition and analysis. · Applies knowledge and expertise to critically evaluate data, summarize results, and generate thorough reports. · Clearly presents scientific information to senior management, external customers, and/or internal customers · Generates SME content and technical documents (memos, development reports, white papers, presentations etc.). 3. Continuous improvement: · Integrates ongoing quality and operational improvement strategies into workflows. · Actively expands scientific expertise to encompass multiple analytical modalities. · Stays abreast of new technologies in the field. · Leads development of new analytical methods, processes, or technologies. 4. Training and personnel management: · May oversee team of Analytical Development Associates · Trains and provides guidance to team members and peers · As appropriate, leads or participates in training Quality Control, Process Development, and Manufacturing teams performing analytical techniques. 5. Other duties as assigned. Qualifications: Preferred PhD degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with previous industry experience. PhD degree with no prior experience or Master's Degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with at least 2 years of relevant experience will be given consideration. Advanced knowledge of and experience in protein mass spectrometry (e.g. intact mass, peptide mapping) is strongly preferred.

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at all University of Arkansas institutions will view open positions and apply within Workday by searching for “Find Jobs for Students.” University of Arkansas, Fayetteville students will view open positions and apply within Workday by searching for “Find Student Jobs at UAF.” All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page. Closing Date: 01/23/2026 Type of Position:Researchers and Scientists Workstudy Position: No Job Type:Fixed Duration of Project/Grant (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation's top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations. The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation's strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life. As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary. Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening. If you have a disability and need assistance with the hiring process, please submit a request via the Disability Accommodations | OEOC | University of Arkansas (uark.edu) : Request an Accommodation. Appli cants are required to submit a request for each position of which they have applied. For general application assistance or if you have questions about a job posting, please contact Human Resources at ************. Department:Executive Director I3R Department's Website: i3r.uark.edu Summary of Job Duties:ABOUT THE INSTITUTE FOR INTEGRATIVE & INNOVATIVE RESEARCH (I³R): Established through a transformative gift from the Walton Family Charitable Support Foundation, the Institute for Integrative and Innovative Research (I3R) at University of Arkansas pioneers solutions to wicked problems through convergence research across academic, industry, government, and non-profit sectors to make a positive societal impact by creating and deploying innovations at scale. You will have the opportunity to collaborate with purpose-driven coworkers in one of the fastest-growing and most naturally beautiful regions in the U.S. You will join a growing team of visionary researchers and thought leaders dedicated to working with a thriving entrepreneurial ecosystem to deliver innovative solutions. I³R is committed to building a diverse, collaborative, and inclusive team and cultivating a welcoming atmosphere where all opinions are valued, all voices are heard, and ideas become reality. The I3R MRI facility houses a 3-Tesla Siemens Magnetom Cima.X to support academic and clinical research and care. This state-of-the-art system is designed with several technical advances to enhance imaging capabilities, workflow efficiency, and MRI recipient experience. It has a fast gradient system capable of high-speed structural and functional imaging, and a 64-receiver channel data acquisition system for parallel imaging with acceleration, which permits faster temporal resolution for functional MRI scans. The scanner has industry-leading gradients for human MRI scanning (i.e., gradient rise time = 200 T/m/s on each of the three gradient axes; peak gradient strength = 80 mT/m per axis). Its high performance driven by superior signal-to-noise ratio and AI powered advanced technology delivers high-quality images with faster acquisition time. It has advanced coil technology with a range of options that can be adapted for various anatomical regions and imaging needs and offers sophisticated imaging sequences that support specialized applications such as functional MRI and diffusion tensor imaging. An intuitive user-friendly interface simplifies operation and offers quieter operation and comfortable design to enhance MRI recipient's comfort during scans. A mock-MRI setup is also in the facility as are adjacent rooms to conduct other human health related studies including use of EEG, and fNIRS. Besides the support potential for advanced clinical scanning, the Magnetom Cima.X offers university researchers opportunities to establish stronger collaborations with the Arkansas Children's Research Institute, the University of Arkansas for Medical Sciences, and the Laureate Institute for Brain Research, for MRI in both adult and pediatric populations. Additionally, I3R researchers conducting medical robotics and mixed reality research seek MRI imaging of various anatomical regions. POSITION DESCRIPTION: A full-time MRI Senior Research Scientist position is available at the Institute for Integrative and Innovative Research (I3R) at University of Arkansas. We are looking for a researcher who can engage in state-of-the-art, multi-modal imaging research and in the application and development of novel, advanced imaging methods and data analytic strategies and their applications. The Magnetom Cima.X offers an unprecedented opportunity to be at the forefront of establishing an outstanding research program in multimodal imaging in the Northwest Arkansas region. In addition, there is a tremendous interest and need for support of clinical imaging. Some of the areas of research interest include: 1) development and implementation of novel real-time multimodal EEG and fMRI techniques; 2) development and implementation of quantitative MRI and fMRI protocols and MRS techniques; and 3) development and implementation of techniques for analyzing large and complex data sets involving data from multiple sources (e.g., structural MRI, fMRI, DTI, EEG, bio- and behavioral data). Additional areas of research related to the candidate's expertise are welcome. This position involves supervising and supporting all aspects of the MRI facility daily operations, ongoing clinical imaging research, and scientific collaboration within the I3R and across the University of Arkansas. It is also anticipated that, through partnerships with healthcare providers, the facility will support the advanced MRI needs for the clinical patient population in Northwest Arkansas and neighboring regions. The position offers excellent opportunities in all aspects of MRI technology development, clinical applications, and data analysis in a dynamic, interactive, and transdisciplinary research environment with a diverse team of researchers that include physicists, psychologists, neuroscientists, engineers, and data scientists. The successful applicant will have the ability to work effectively on interdisciplinary teams in a fast-paced environment, work independently and collaboratively with clinical and industry partners, and have excellent communication skills. A professional demeanor and the ability to establish effective working relationships are crucial in building trust and influence to accomplish work within a setting that includes a wide array of individuals, groups, policies, and processes. SUMMARY OF JOB DUTIES: · Manage the I3R MRI facility for safe access and use under federal and state required guidelines. · Supervise MRI technologist and other MRI facility personnel. · Lead cross-functional projects with internal research and clinical (medical, operations, statistics, regulatory) teams as well as external partners. · Design and implement customized MRI (structural, functional, diffusion) image analysis methods, leveraging novel and standard methodologies. · Develop and maintain excellent direct relationships with clinical and research partners, supporting them on site or remotely such as setting parameters for MRIs, developing and updating field-specific protocols, adapting and optimizing equipment to their needs. · Maintain accurate research records and documentation of procedures. · Pursue funding to support the development and evaluation of medical imaging as a lead investigator and as collaborator. · Provide technical guidance and mentorship to researchers and graduate students. · Additional duties as assigned. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others. Qualifications: Minimum Qualifications: PhD or MD in Medical Physics, Engineering, Neuroscience or a relevant field with specific experience in MRI research More than three years of postdoctoral experience Experience in designing and executing clinical MRI studies with human participants Evidence of direct role and contribution to the medical imaging field (publications in peer-reviewed scientific journals, presentations at imaging-related conferences and/or developed software codes) Experience in managing multi-faceted and complex data sets and in performing statistical analysis Preferred Qualifications: Experience with managing an MRI facility Experience with high-field Siemens MRI systems MRI Certified by the American Board of Medical Physics and/or certified by the American Board of MR Safety as an MR Safety Expert Participation in clinical trials and implementation of MRI biomarkers Knowledge, Skills and Abilities: Knowledge of structural, diffusion, functional MRI procedures and acquisition protocols Proven expertise in programming and medical imaging & statistical software Proven leadership, organizational, and communication skills Highly creative with exceptional abstract problem-solving abilities and attention to detail Excellent written and verbal communication skills, particularly the ability to present and publish complex scientific approaches and results in an interdisciplinary field as well as to maintain clear and concise documentation Excellent ability to work effectively in a team environment, across multiple clinical sites Additional Information: This position is renewable annually based on continued need for the position, availability of funding, and satisfactory job performance. Salary Information: A minimum of $150,000 - Commensurate with education and experience. Required Documents to Apply: Cover Letter/Letter of Application, List of three Professional References (name, email, business title), Resume Optional Documents: Proof of Veteran Status Recruitment Contact Information: Julia Menke, *************** - Sr. HR Partner Crystal Ellis, Strategic Talent Acquisition Specialist, ************** All application materials must be uploaded to the University of Arkansas System Career Site ***************************************** Please do not send to listed recruitment contact. Special Instructions to Applicants: Pre-employment Screening Requirements:Criminal Background Check, Sex Offender Registry The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All Application information is subject to public disclosure under the Arkansas Freedom of Information Act. Constant Physical Activity:N/A Frequent Physical Activity:N/A Occasional Physical Activity:N/A Benefits Eligible:Yes

Bioinformatics Scientist - Lessard Lab Department: Genes & Human Disease Location: Oklahoma City, OK START YOUR APPLICATION Overview and Responsibilities The Lessard Lab is seeking a bioinformatics scientist to join our research team. Our research leveraged high-throughput bulk and single cell sequencing technologies to investigate the regulatory functions that control gene expression within the complex landscape of the three-dimensional genome and how genetic variations influence these regulatory functions to cause human diseases such as Sjögrens disease, systemic lupus erythematosus (SLE), and other autoimmune diseases. Position Responsibilities: Organizing and managing the multi-OMIC data generated by genotyping arrays, protein arrays, and a variety of high-throughput sequencing technologies at both bulk and single cell levels. Analyzing, interpreting, and summarizing the analysis results. Applying various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, sc FFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc., data generated in the lab. Minimum Qualifications Ph.D., M.D., or Ph.D. /M.D. Strong project management and organizational skills and communication (verbal and written) skills are required. Individuals must be detail-oriented and capable of working both independently and as productive member of our team. Preferred Qualifications Ph.D./M.D. in bioinformatics is preferred. Experience in computer programming with the ability to work in linux, R, Python, C++, etc., and ability to use AI, machine learning, and statistical applications to analyze genetic data. Experience applying various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, sc FFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc. OMRF Overview Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nations oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimers disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nations leaders in patents per scientist. Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, . . . so that more may live longer, healthier lives. Successful candidates will demonstrate commitment to this mission. OMRF Benefits We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite café, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here. OMRF is an Equal Opportunity Employer. START YOUR APPLICATION

The Medical Toxicologist at CTEH provides support in the areas of litigation support, occupational health, toxicology, risk assessment, industrial hygiene, and emergency response and may participate as a member of an emergency response team, either in person or remotely. The successful candidate will also perform in the role of project technical director in these same areas, providing expert consultation services to clients. An individual in this role will assemble, prepare, and analyze data concerning toxicological, environmental, and human health risk assessments while supervising nursing and health scientist staff on assigned projects. Utilizing a knowledge of various scientific disciplines, the Medical Toxicologist may oversee sampling, monitoring, and information collection and assist in CTEH's Toxicology and Emergency Response Program (TERP), will help administer the Workers Exposure Response Program (WERP), and assist with the administration of the CTEH employee health program, as well as the Montrose employee health program, and potentially health programs for other companies. Additionally, the Medical Toxicologist is expected to prepare, present, and promote scientific articles and publications in relevant journals as well as presentation before professional associations. This position will report to the Business Development Manager. Job Type: Part-Time Salary: Commensurate with experience ACTIVITIES Provide expert consultation services (including support to counsel) in the area of occupational/emergency medicine and toxicology Evaluate client projects related to toxicology, occupational health, and emergency response and develop strategies to address issues related to each project; Participate as a leader, project manager, or member of occupational health, toxicology, risk assessment, and/or emergency response; Act as a point of contact for CTEH clients in the TERP/WERP programs; Prepare written reports summarizing scientific data and findings; Participate in marketing and business development activities, including the development of articles and presentations; Compile, critically review, and summarize scientific/technical data and literature; and, Performs such other duties as are assigned EDUCATION, EXPERIENCE, & CREDENTIALS Degree of Doctor of Medicine (M.D.) from a U.S. accredited institution Active medical license in one or more US state Prior experience and Board certification in medical toxicology Prior experience and Board certification (preferred) in occupational medicine Masters' of Public Health (MPH) with experience in epidemiology (preferred) KNOWLEDGE, SKILLS, & ABILITIES Current driver's license (required) Ability to obtain a passport (required) Able to use Microsoft Office Able to work independently with minimal supervision Strong verbal and written communication skills in the English language WORK ENVIRONMENT & PHYSICAL DEMANDS The physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Sitting, standing, and walking Lifting up to 50 pounds several times a day Overhead lifting of over 20 pounds Bending, stooping, climbing ladders and crawling Long hours involving overtime and weekends as necessary Keyboarding/typing Ability to read effectively from a computer screen, sampling device and/or a paper copy Ability to handle a large volume of work and perform multiple tasks in a fast-paced environment Frequent, unscheduled travel for extended periods of time Ability to drive noncommercial vehicles Rarely may work shifts of up to 24 hours in duration Dress out in physically demanding personal protective equipment (PPE) for site entry at HAZWOPER sites as required under 29CFR 1910.120 Wear half-face and full-face air purifying respirator (APR) as well as supplied air respirators in the form of Self-Contained Breathing Apparatus (SCBA) and hose supplied respirator with medical clearance as required under 29CFR 1910.134 Wear partially or totally encapsulating personal protective equipment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Works in an office environment when not deployed on an emergency response Often works outdoors and may be exposed to hot and cold environments and extreme weather conditions, including sunlit, rainy and windy conditions May occasionally work shifts up to 24 hours in duration Encounter environments presenting physical hazards of uneven ground, standing water, ditches, dusty conditions, rapidly moving transportation and remediation equipment, and physical stress associated with the wear of personal protective equipment May work at altitudes greater than 5000 feet above sea level May work on land, sea or air May work in a setting with potential physical and chemical hazards; and Frequent, extended travel

JOIN FALCON FARMS AS A PART-TIME FLOWER MERCHANDISER! This is your chance to join one of the most recognized companies in the floriculture industry and be part of an exciting mission: bringing color and joy to our customers' lives through beautiful floral arrangements! As a Flower Merchandiser, you will have a direct impact on every store you visit, ensuring that our flowers are perfectly displayed to delight every shopper. At Falcon Farms, we value quality, commitment, and, above all, our team. We will provide you with all the tools you need, including a planned route, to ensure success on every visit. Please follow this link to watch a video about the activities and responsibilities of our merchandisers ******************************************* What We Offer: * Pay: $16.50 * Schedule: Saturday, Sunday 6am-11/12pm-1pm * Exciting Benefits: * Paid training to become an expert in flower handling. * Mobile phone allowance to stay connected. * Access to medical, dental, and vision benefits for full-time employees. Your Responsibilities: As our Flower Merchandiser, you will be the face of Falcon Farms in each store and collaborate directly with our clients. You will have the opportunity to work independently while collaborating with local teams to create unforgettable displays and optimize inventory. * Daily Commitment: * Ensure flower displays are immaculate and attractive. * Restock, organize, and monitor flower inventory. * Use your mobile device to communicate with your supervisor and report activities. * Interact professionally and friendly with employees, managers, and customers. * Support During Festive Seasons: * During key dates such as Valentine's Day, Mother's Day, and Christmas, we will need you to ensure each store is prepared for the festive demand. * Department Resets: * Participate in setting up new displays and inventory adjustments when necessary. * Teamwork: * While you will work independently, you will support your teammates with special activities when needed. Physical Requirements: This position requires energy and willingness to perform physical tasks: * Ability to lift and move boxes weighing up to 40 pounds frequently. * Ability to bend, stretch, and lift products above your shoulders. * Walk and stand for most of the shift. Basic Requirements: * Must be at least 18 years old. * Ability to read, write, and understand instructions in English. * Reliable transportation to reach assigned locations. * Internet access and a smartphone. * Availability to work during peak season (November to May). Make Your Mark at Falcon Farms! If you are ready to join a team passionate about excellence and bringing joy through beautiful floral arrangements, we invite you to apply today! Upload your CV in PDF or DOCX format and highlight how you meet the requirements. As part of the hiring process our company will participate in the e-verify process and make each new employee's I9 information available to DHS for verification. or more information about our company, visit: *************************

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Experience with developing machine learning models at scale from inception to business impact 7. Programming experience in Python and hands-on experience with frameworks such as PyTorch 8. Exposure to architectural patterns of large scale software applications 9. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 10. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 11. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 12. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

* 493152 * Langston * VP ACADEMIC AFFAIRS (LU) * Staff Full-time * Opening on: Sep 18 2025 * Dean of School of Agriculture (LU) * PhD Add to favorites View favorites Research Scientist and Extension Specialist needed in Langston, Oklahoma to lead the LU-certified Dairy Herd Information Laboratory for goats, modernize milk testing programs, and mentor students in animal science. Shape the future of dairy goat farming through cutting-edge research, teaching, and extension activities, while collaborating with top professionals and expanding program outreach. Applicants must have the minimum of a Ph.D. in Animal Science or a related field. Will accept an educational equivalency prepared by a qualified evaluation service. Must have legal authority to work in the U.S. Send resume/references via email to ***************************** with the following subject line: "ATTN: RSES2025," OR via mail to Dr. Wesley L. Whittaker, Dean & Director of Land-Grant Programs, ATTN: RSES2025, Langston University, 100 Success Avenue, Sherman Lewis School of Agriculture and Applied Sciences (Room 116), Langston, OK 73050. EOE. Langston University is an equal opportunity employer. Our hiring decisions are based on merit, qualifications, and institutional needs, ensuring equal opportunities for all individuals, regardless of race, gender, age, disability, or other protected characteristics. We welcome qualified applicants who share our commitment to academic excellence, community engagement, and fostering a vibrant campus culture. For more information, please contact *****************************. You may also be interested in Animal Science Research Scientist and Extension Specialist -2149* Langston VP ACADEMIC AFFAIRS (LU) Outreach and Engagement Specialist, 001369 Langston VP OPERATIONS (LU) Administrative Specialist - 1795 Langston OFFICE OF PRESIDENT (LU) frame-loader#show Progress clinch:authenticated@document->frame-loader#reload" id="turbo_frame_page_block_5caac52edfe864f0bdb28cf42b068817" src="/pages/ff75e49fb9bc74f54de482be2db3794e/blocks/5caac52edfe864f0bdb28cf42b068817?job_uid=5e492ac7b503c78640f810df1b404044&postfix=2_0">

A Research Scientist is a full-time contract researcher who will investigate one or more of the priority areas of the Oklahoma Cyber Innovation Institute ( OCII ) as they relate to cyber research, technology, and education for the majority of their time and effort. These areas are cybersecurity, critical infrastructure protection, smart environments, AI, autonomy, robotics, supply chain manufacturing, and human-machine teaming. Funding should be sought from public and private sponsors for direct problem solving and solution delivery. Research should be applied and use-inspired, with deliverables aligned with external sponsor needs. A portion of time and effort is expected to include: (1) moving research into the OCII educational and training programs, (2) participating in the administration of educational or business expectations, (3) reporting of OCII activities to stakeholders, and (4) supporting the growth of OCII in priority areas and new areas that are introduced as OCII expands. Physical Demands Minimal physical demands. Preferred Qualifications The minimum qualifications of the position are: · PhD in a field related to OCII priority areas · Post-doctoral experience in a university or industry · Demonstrated experience in and commitment to cyber-related research in OCII priority areas

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. Join the Foundational Modeling team at Splunk, where we advance the state of AI for high‑volume, real‑time, multi‑modal machine‑generated data - including logs, time series, traces, and events. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact‑driven innovation, and cross‑functional collaboration - all within a flexible, growth‑oriented environment. Your Impact * Lead the research, design, and deployment of large‑scale foundation models for machine‑generated data - primarily time series, augmented with logs traces, and events. * Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale. * Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact. * Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes. * Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans. Minimum Qualifications: * PhD in Computer Science, or related quantitative field, plus 1+ years of industry research experience. * Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling. * Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep Learning for Time Series & Forecasting - Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models. * Advanced Anomaly Detection - Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data. * Multi‑Modal AI Modeling - Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights. * Probabilistic Forecasting & Uncertainty Quantification - Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty. * Large‑Scale Training & Optimization - Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy. * MLOps & Continuous Learning - Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models. * Strong Research Track Record - Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $174,500.00 to $226,500.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $199,700.00 - $292,800.00 Non-Metro New York state & Washington state: $174,500.00 - $260,500.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Job Description Position Overview: Wheeler Bio is seeking a motivated analytical mind with a passion for problem solving, fast-paced environments, and expertise in protein mass spectrometry to join the analytical team. The Analytical Development Scientist will participate in the development of robust analytical techniques designed for seamless transition to a quality control environment in a manner to emphasize “right first time” and prolonged success. The position will require broad scientific knowledge of bioanalytical techniques that are used to assess and characterize proteins with a focus on monoclonal antibodies. Key Responsibilities: 1. Analytical program management: · Manages client analytical programs with a focus on quality and timeline. · Leads analytical method development, transfer, and qualification of robust, fit-for-purpose methods to support cGMP testing. · Designs, participates in, and reviews required analytical testing according to pre-defined plans and protocols. · Writes and reviews analytical plans, protocols, SOPs, and summary reports. · Leads transfer of analytical methods to Quality Control. · Collaborates with team members and clients to troubleshoot and solve complex problems to meet project needs. 2. Data analysis and communication: · Possesses advanced knowledge of protein biochemistry, analysis, and associated techniques. · Independently uses and applies complex instrumentation, computer systems, and software for data acquisition and analysis. · Applies knowledge and expertise to critically evaluate data, summarize results, and generate thorough reports. · Clearly presents scientific information to senior management, external customers, and/or internal customers · Generates SME content and technical documents (memos, development reports, white papers, presentations etc.). 3. Continuous improvement: · Integrates ongoing quality and operational improvement strategies into workflows. · Actively expands scientific expertise to encompass multiple analytical modalities. · Stays abreast of new technologies in the field. · Leads development of new analytical methods, processes, or technologies. 4. Training and personnel management: · May oversee team of Analytical Development Associates · Trains and provides guidance to team members and peers · As appropriate, leads or participates in training Quality Control, Process Development, and Manufacturing teams performing analytical techniques. 5. Other duties as assigned. Qualifications: Preferred PhD degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with previous industry experience. PhD degree with no prior experience or Master's Degree (in biochemistry, chemistry, microbiology, or other life-science discipline) with at least 2 years of relevant experience will be given consideration. Advanced knowledge of and experience in protein mass spectrometry (e.g. intact mass, peptide mapping) is strongly preferred.

Postdoc/Assistant Staff Scientist - Nath Lab Department: Arthritis & Clinical Immuno Location: Oklahoma City, OK START YOUR APPLICATION Overview and Responsibilities The Nath Lab is seeking a highly motivated and self-driven individual to join our team as a Postdoctoral Scientist or Assistant Staff Scientist. Our research focuses on unraveling the genetic mechanisms underlying lupus, a complex autoimmune disease. This position requires expertise in analyzing large-scale genetic and genomic data. The successful candidate will have access to excellent resources to address critical questions in the genetics and genomics of systemic lupus erythematosus (SLE). Building on our labs success in identifying genes and genetic variants associated with lupus susceptibility through genome-wide association studies (GWAS), we are now investigating the functional effects of these variants. This includes utilizing patient-derived primary immune cells and tissues as well as cell line models. Key Responsibilities Analyze human genetic and genomic data, including GWAS and next-generation sequencing (NGS). Develop and apply computational methods to interpret various types of biological data. Integrate GWAS summary results with other data types (e.g., eQTL, mQTL, and functional genomic annotations) to identify novel therapeutic targets and biomarkers. Contribute to the understanding of the functional consequences of lupus-associated genetic variants. Desired Skills and Experience Proficiency in statistical genetics, bioinformatics, and computational biology. Expertise in analyzing large-scale GWAS datasets, including integration with functional genomic data. Strong background in using genetics/statistics/bioinformatics software for data analysis and interpretation. Minimum Qualifications Applicants should have a Ph.D., M.D., or M.D./Ph.D. (or expect to receive a doctoral degree soon). Collaboration with experimental and clinical scientists to address specific target mechanism questions with genomic insights is essential. This position demands a highly motivated, self-driven individual with excellent teamwork and organizational skills. Creativity, biological insight, and problem-solving skills in computational research. Preferred Qualifications Thorough knowledge of GWAS data analysis methodologies. Experience in investigating human genetic variation and its functional implications. OMRF Overview Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nations oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimers disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nations leaders in patents per scientist. Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, . . . so that more may live longer, healthier lives. Successful candidates will demonstrate commitment to this mission. OMRF Benefits We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite café, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here. OMRF is an Equal Opportunity Employer. START YOUR APPLICATION

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Overview and Responsibilities The Nath Lab is seeking a highly motivated and self-driven individual to join our team as a Postdoctoral Scientist or Assistant Staff Scientist. Our research focuses on unraveling the genetic mechanisms underlying lupus, a complex autoimmune disease. This position requires expertise in analyzing large-scale genetic and genomic data. The successful candidate will have access to excellent resources to address critical questions in the genetics and genomics of systemic lupus erythematosus (SLE). Building on our lab s success in identifying genes and genetic variants associated with lupus susceptibility through genome-wide association studies (GWAS), we are now investigating the functional effects of these variants. This includes utilizing patient-derived primary immune cells and tissues as well as cell line models. Key Responsibilities Analyze human genetic and genomic data, including GWAS and next-generation sequencing (NGS). Develop and apply computational methods to interpret various types of biological data. Integrate GWAS summary results with other data types (e.g., eQTL, mQTL, and functional genomic annotations) to identify novel therapeutic targets and biomarkers. Contribute to the understanding of the functional consequences of lupus-associated genetic variants. Desired Skills and Experience Proficiency in statistical genetics, bioinformatics, and computational biology. Expertise in analyzing large-scale GWAS datasets, including integration with functional genomic data. Strong background in using genetics/statistics/bioinformatics software for data analysis and interpretation. Minimum Qualifications Applicants should have a Ph.D., M.D., or M.D./Ph.D. (or expect to receive a doctoral degree soon). Collaboration with experimental and clinical scientists to address specific target mechanism questions with genomic insights is essential. This position demands a highly motivated, self-driven individual with excellent teamwork and organizational skills. Creativity, biological insight, and problem-solving skills in computational research. Preferred Qualifications Thorough knowledge of GWAS data analysis methodologies. Experience in investigating human genetic variation and its functional implications. OMRF Overview Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nation s oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimer s disease, cancer, lupus, multiple sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nation s leaders in patents per scientist. Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a collective commitment to our mission, . . . so that more may live longer, healthier lives. Successful candidates will demonstrate commitment to this mission. OMRF Benefits We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our onsite caf , free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro. Learn more about our benefits here. OMRF is an Equal Opportunity Employer.