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Be inspired. Be rewarded. Belong. At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide: • Comprehensive health benefits that start day 1, • Student Loan Repayment Assistance & Reimbursement Programs, • Family-focused benefits, • Wellness incentives, • Ongoing mentorship, development, and leadership programs Learn more about our exciting bonus opportunities, including relocation incentives paid upon offer acceptance to help with moving and upfront expenses — plus referral incentives and additional position-based bonuses designed to reward your commitment. Emory Medical Laboratory's mission is to transform health and healing by providing high quality, cost-effective, innovative laboratory services which enhance patient health. We're seeking an experienced Medical Lab Scientist / Medical Technologist with a Blood Bank & Transfusion Service background. Shifts Available: * 5:30am - 4pm, rotating weekends and holidays * 7am - 5:30pm, rotating weekends and holidays • 12pm - 10:30pm, rotating weekends and holidays, • 2:30pm - 1:00am, rotating weekends & holidays 8pm - 6:30am, rotating weekends and holidays Job Duties: • Performs various laboratory tests and procedures while adhering to standard operating procedures on patient specimens to assist in the diagnosis, study and treatment, or prevention of disease., • May perform tests including but not limited to standardized and semi-routine biological, chemical, hematological, immunological, immunohematological, microbiological, and serological tests in a research or clinical laboratory., • May serve as key operator for implementation of new equipment and procedures., • In complex cases, evaluates all information and determines whether test results should be released, repeated, or referred to a pathologist. Refers abnormal or unexpected results to the appropriate individual(s)., • May serve on laboratory's safety committee; write and maintain safety and infection control policies and procedures, and ensure correct Safety Data Sheets are maintained., • May teach medical technology theory and techniques while providing guidance to lower level technologists; develop teaching plans and student assessment tools; prepare written examinations., • May perform venipuncture or capillary puncture to obtain blood specimen., • Perform other related duties as required. Minimum Qualifications • Blood Bank specific experience, • Bachelor's degree in Medical Laboratory Science or Medical Technology, or a chemical, physical or biological science., • Other bachelor's degree will be accepted if graduated from an accredited school and science and math coursework meet requirements of certifying agency., • Bachelor's degree may be waived for a medical technologist who was ASCP certified in the years prior to the bachelor's degree requirement by ASCP and a HEW/HHS technologist certified by Health and Human Services., • Certified by one of the following accreditation agencies: MT (ASCP), MLS (ASCP), MT (AMT), MT (HHS or HEW), MT (AAB), generalist or categorical if applicable., • Two years experience required. JOIN OUR TEAM TODAY! Emory Healthcare (EHC), part of Emory University (EUV), is the most comprehensive academic health system in Georgia and the first and only in Georgia with a Magnet® designated ambulatory practice. We are made up of 11 hospitals-4 Magnet® designated, the Emory Clinic, and more than 425 provider locations. The Emory Healthcare Network, established in 2011, is the largest clinically integrated network in Georgia, with more than 3,450 physicians concentrating in 70 different subspecialties. Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory Healthcare is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. Please contact Emory Healthcare’s Human Resources at ___. Please note that one week's advance notice is preferred.

Company Overview Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of “shaping a sustainable world together,” we work alongside our customers to provide innovative solutions to the aerospace, automotive, beverage packaging and specialty markets. Headquartered in Atlanta, Georgia, Novelis has approximately 13,000 employees in 32 operating facilities on 4 continents. Position Overview The Lead Modeling Scientist has a key role in advancing Novelis’ capabilities in computational modeling, with the primary objective of linking aluminum sheet process conditions, microstructure and texture evolution, and material properties. This work will support faster product innovation across various markets in which Novelis operates, as well as improved plant performance. The role requires an unique combination of deep expertise in metallurgy and materials science, coupled with advanced modeling proficiency. The position focuses on predictive modeling, which is integrated with experimental validation and data analytics to optimize manufacturing processes for aluminum products. As a key member of Novelis’ Americas R&D organization, the Lead Modeling Scientist will spearhead the development and deployment of multi-physics, multi-scale materials modeling and physics-guided AI modeling capabilities. These efforts are critical for accelerating the development of sustainable products and processes. Central to the role is bridging microstructural length scales as applied to Novelis’ products—including sheet and plate—and to the company’s manufacturing processes such as casting, rolling, and heat treatments. The position will also focus on developing a deeper understanding of the relationships among alloy chemistry, thermomechanical processing, microstructure, properties, and overall product performance. Responsibilities • Develop and maintain Integrated Computational Materials Engineering (ICME) models that connect process parameters, microstructure, and properties for flat aluminum sheet products, including processes such as homogenization, heat treatment, precipitation, recrystallization, texture development and grain growth., • Design and implement multi-scale models to link process parameters with microstructure and properties for casting, rolling, heat treatment, coating, CASH, batch annealing and related processes relative to Flat Rolled Aluminum Products., • Constitutive behavior models: Flow stress, work hardening, strain rate sensitivity, • Formability & failure prediction models: FLD, FLC, earing, spring-back, bendability, • Create and refine process simulation tools using methods such as finite element, finite difference, cellular automata, and phase-field modeling to predict thermal and mechanical behavior., • Integrate modeling results with experimental characterization techniques (including SEM, EBSD, XRD, DSC) and plant data to validate predictions and continually improve model accuracy., • Build thermodynamic and kinetic models using tools like Thermo-Calc, DICTRA, TC-Prisma, and Pandat to support alloy design and process optimization., • Lead end-to-end modeling projects, from scoping and model development through validation and deployment, with the goal of improving or innovating aluminum sheet products and processes across beverage packaging, automotive, specialties, and aerospace markets., • Automate workflows for predicting microstructure-property relationships and incorporate feedback from plant trials to enhance model robustness., • Collaborate with plant engineers and R&D teams to apply models for troubleshooting and improving productivity, recovery, and quality., • Document methodologies and results in technical reports and contribute to intellectual property through invention disclosures and patents. Minimum qualifications • Advanced degree (M.S. or Ph.D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling., • Expertise in metallurgy and materials science, as well as process and microstructure modeling for metallic systems, especially aluminum alloys. Flat rolled aluminum products experience is largely preferred, • Proficiency in modeling software such as Thermo-Calc, DICTRA, TC-Prisma, and Pandat, and in numerical methods including finite element, finite difference, cellular automata, and phase-field modeling., • Programming skills in MATLAB, FORTRAN, and C/C++, along with proficiency in statistical analysis tools like JMP and R., • Strong understanding of metallurgical principles and characterization techniques., • Excellent technical communication and project management skills., • Proven track record of solving plant issues through modeling with measurable business impact., • Experience deploying predictive models in production environments to improve throughput and quality. Preferred qualifications • Machine Learning for materials: Property prediction, Process window optimization, Defect classification, • Digital twin development: End-to-end process-to-property simulation, • High-performance computing (HPC): Parallel simulations, cloud computing, • Data pipelines & model deployment: MLOps, version control, model governance, • DOE (Design of Experiments), • Multi-variable regression & sensitivity analysis, • Model calibration & uncertainty quantification What We Offer: Novelis' benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, driven by the marketplace, and affordable. In addition to core benefits, we provide these unique to the industry benefits: • Family Growth Programs: Paid parental Leave, Adoption Assistance, Fertility Treatment, Childcare Discount and Nursing Mom Support, • Employee Assistance Programs: free resources available 24/7 to you and your family in the areas of mental health, family life, and career and financial guidance, • Wellness Programs: incentives for wellness activities, wellness spending account, programs for building healthy habits, virtual physical therapy for joint, back, and pelvic health, health management programs and more., • Diabetes Management Program, • Pet insurance, • Identity Theft Protection, • PerkSpot Discount Program, • Tuition assistance and career development programs Disclaimer: We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information: • Check the job posting is live and valid via our careers page: Careers - Novelis, • Verify any communication with us by contacting our talent team at Careers – Novelis EEO Statement: Novelis’ Global Research and Technology Center located in Kennesaw Georgia within the greater Atlanta metropolitan area is a cutting-edge full-service research and technology hub that employs approximately 200 people including world-class engineers metallurgists chemists scientists technologists and technicians. The facility includes state-of-the-art lab equipment and a diverse mix of product pilot lines that bring innovative solutions to customers in the automotive beverage can and specialty markets. Kennesaw provides a diverse and family-friendly place to live with countless museums cultural opportunities and educational institutions. Novelis is committed to the Kennesaw community and supports a number of local charitable organizations including Habitat for Humanity as well as FIRST Robotics aimed at encouraging young people to pursue the Science Technology Engineering and Mathematics (STEM) fields in order to spur the next generation of scientists and innovators. Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants. All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.

NCASI is seeking a professional for its Sustainability Program team who has expertise in process engineering and energy generation/management. As the Senior Research Scientist, Energy, you will be conducting work on projects that will directly contribute to addressing the energy-related and in-plant process engineering information needs associated with the environmental performance of the forest products industry. In this role, you will be responsible for conducting comprehensive literature reviews and database searches; reviewing technical, government, and peer-reviewed manuscripts; and undertaking systematic process engineering and energy data analyses. Working closely with other NCASI staff, you will ensure timely completion of program projects related to energy-related topics of relevance to the forest products sector, including fuel- and energy-related accounting and reporting, water sustainability, waste reduction, and performance metrics benchmarking. This position will involve significant interaction with forest products industry companies, as well as interaction with industry trade associations, government at federal and state levels, research organizations, and academia. This is an exciting opportunity to be part of a respected research organization dedicated to improving the environmental profile of the forest products industry. If you are passionate about energy-related research in the context of environmental performance enhancement, and seek to make a meaningful impact, we encourage you to apply for this position. Essential Job Functions: 1. As a contributor to NCASI’s Sustainability Technical Studies Program research projects, primary responsibilities include: • working closely with the Director, Sustainability and other staff members to ensure completion of tasks., • executing research activities and technical project work that is topically relevant, scientifically credible, cost-effective, and marked by a significant level of self-direction. This work can include conducting comprehensive literature reviews, database searches, and process engineering & energy data analyses., • preparing timely and original technical reports, journal articles, and other written communications, meeting the highest standards of quality and scientific objectivity., • presenting research findings verbally at NCASI and other meetings and conferences., • having the ability to read, absorb, process, and communicate complex information, in English., • having the ability to get to and work from the NCASI office, as required. 2. As a scientist in their area of expertise, maintain knowledge of current issues and technical advances through review of current literature, participate in appropriate professional society conferences, and communicate with leading researchers and regulatory personnel involved in this field., 3. As a resource on relevant energy-related regulations, maintain knowledge of existing and forthcoming US federal and state energy-related regulations and policy decisions., 4. As a contact providing technical support to industry: • respond to technical and scientific queries from member companies and industry organizations in a clear, competent, and timely manner, striving for delivery of material to be used in responses to member-specific questions within one working day., • use critical and integrative thinking skills to identify innovative and practical solutions to member company challenges., • maintain a current understanding of industry issues, including basic knowledge of energy-related issues outside primary area of expertise., • maintain knowledge of NCASI’s overall technical studies program, including familiarity with staff skill sets relevant for solving member issues., • As an NCASI representative at conferences, meetings, and off-site visits:, • present scientifically-sound, credible technical information, and objectively evaluate the potential utility of that information for environmental and energy-related management decision-making., • foster relationships with current member companies as well as with potential new member companies., • develop relationships with external stakeholders in a respectful manner., • conduct all activities in a professional manner., • As a staff member of NCASI:, • act in a manner that is honest and respectful of co-workers, exhibiting a strong sense of integrity and candor., • undertake research and technical studies in collaboration with other NCASI staff, as appropriate, in a manner that fosters a strong team-based environment that is founded on sharing and learning knowledge from others. Additional Responsibilities: • Undertake additional activities, as assigned by Supervisor. Minimum Qualifications: • Ability to analyze and interpret process manufacturing and energy-related data using a methodical approach., • Knowledge of pulp and paper and/or wood products manufacturing operations., • Ability to navigate the US environmental regulatory landscape., • Ability to work with relational databases., • Knowledge of Microsoft Office and programming languages, such as R and/or Python., • Outstanding attention to detail., • Organized self-starter with the ability to work independently and proactively., • Ability to successfully manage multiple work priorities., • Excellent verbal and written communication skills in English. To apply for this position, please submit your resumé to: Dr. Barry Malmberg Director, Sustainability NCASI PO Box 271 Sheridan, WY 82801 Review of applications will begin on May 1, 2026, and will continue until the position is filled.

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy, trust, and accountability are critical. Every year, the global justice system benefits from insights generated by Relativity AI across billions of documents. We are just getting started on our journey to use AI to improve the outcome of every discovery, investigation, and analysis performed on our platform. At Relativity, we develop AI guided by our AI Principles. These principles ensure we build AI with clear purpose, empower customers with transparency and control, treat fairness and privacy as first principles, protect customer data by design, and act with a high standard of responsibility and accountability. WHAT WE DO Relativity's AI organization is focused on exploration, experimentation, and turning cutting-edge research into real-world impact. We believe innovation requires experimentation, learning, and iteration. Our teams experiment, evaluate, ship, and learn continuously while maintaining a strong commitment to responsible AI. Applied Science Team The Applied Science team operates at the core of Relativity's AI development. Our team includes specialists with advanced postgraduate training and deep experience building and operating machine learning models at scale. We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by legal professionals around the world. Job Description and Requirements ABOUT THE ROLE As a Senior Applied Scientist, Generative AI, you will design, build, and deploy generative and machine learning models that power Relativity's next generation of AI-driven product capabilities. You will collaborate closely with applied scientists, engineers, product managers, and designers to build models that help legal professionals organize data, discover the truth, and act on it with confidence. This role balances research, development, and operational responsibility. You will contribute to Relativity's portfolio of transformational generative AI technologies while adhering to our responsible AI principles and ensuring models perform reliably in real-world, high-stakes environments. WHAT YOU'LL DO • Develop machine learning and generative AI models that ship as customer-facing product features, • Collaborate closely with engineers to write production-quality code and contribute across the full model deployment lifecycle, • Design and evaluate models that operate at very large scale, including search and retrieval systems spanning hundreds of millions to billions of documents, • Contribute to internal standards, processes, and tooling for building, evaluating, and deploying generative AI systems, • Partner with Product and Data teams to assemble, curate, and synthesize datasets for model development and evaluation, • Conduct rigorous experimentation, model evaluation, and iteration to improve model quality, explainability, safety, and performance, • Collaborate across AI, engineering, and product teams to ensure models integrate effectively into larger systems, • Apply Relativity's AI Principles to ensure responsible, fair, secure, and transparent AI development, • Communicate complex data science and machine learning concepts clearly and effectively to collaborators with diverse technical backgrounds WHAT WE'RE LOOKING FOR Required • Experience building search or retrieval systems operating at the scale of hundreds of millions of documents, • Experience developing and applying generative AI models as part of larger, domain-specific systems, • Experience across the full machine learning lifecycle, including experimentation, evaluation, deployment, and iteration, • Experience working in containerized environments using Kubernetes-based tooling and workflows, • Interest in or experience with the legal industry, eDiscovery, or the broader justice system, • Strong programming ability in a language such as Python, • Comfort working in UNIX-based environments using command-line tools, • Master's degree in Computer Science or a quantitative field plus 2 years of relevant industry experience, • OR Ph.D. in Computer Science or a quantitative field, • OR the equivalent of 5 years of relevant academic and/or industry experience, • Experience building and deploying systems that leverage large language models, • Experience contributing to shared data science or ML engineering standards, tooling, or best practices WHY WE COULD BE A GREAT FIT Impactful Mission • Competitive compensation, health and retirement benefits, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $146,000 and $218,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, C++ Programming Language, Computer Vision, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Python (Programming Language), Researching, Statistical Models

Board Certified Dermatologist - Medical Monitor (Sr Director) - US Home Based. Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program., • We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life., • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities • Provides medical oversight of assigned clinical studies in the duty as a medical monitor. Often serves as primary medical contact for customers for assigned clinical studies., • Provides medical input and oversight in support of the Drug Safety and Pharmacovigilance department., • Responsible for protocol design and development, upon request. Provides input into protocol amendments., • Develops and delivers project-specific and therapeutic training to project team members and clinical site staff; provides training to customer staff as needed., • Provides medical and therapeutic input to Study Start Up, Feasibility, and Subject Identification efforts. This activity includes, but is not limited to, review of Informed Consent Templates and Subject-Facing Materials, and input into site feasibility evaluations., • Provides medical input into data collection tools, monitoring plans, and review and analysis plans., • Provides oversight to assigned Medical Scientist staff and Medical Director colleagues to review clinical data. Presents identified trends and issues, and mitigation strategies, to customers and project team members to minimize risks to subject safety or integrity of study data., • Provides after-hours coverage for clinical studies., • Adheres to all enterprise policies, work instructions, standard operating procedures, and project plans. Adheres to customer policies and standard operating procedures, as required in project plans., • Maintains in-depth knowledge of FDA and worldwide drug development regulations and national and ICH Good Clinical Practice (GCP) guidelines., • Leads medical responses to Requests for Proposals (RFPs) and Bid Defense Meetings (BDMs). May support Requests for Information (RFIs)., • Contributes to the development of product/clinical development plans and collaborates with customer and internal colleagues regarding other reports, applications, and regulatory submissions. Locates and engages external experts/consultants/advisors as necessary., • Represents the Company at scientific and industry meetings. May publish scientific or industry related articles in industry journals, as requested., • Mentors staff to ensure an appropriate level of understanding regarding sound treatment and research principles of specific therapeutic area. Ensures project teams consistently operate in compliance with such principles., • Assumes line management duties as needed. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $175,000.00 - $332,000.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Overview GovCIO is currently hiring for an Operations Research Analyst / Data Scientist to support database development, data configuration, data analytics, and reporting activities at Department of Homeland Security (DHS) Immigration and Customs Enforcement (ICE). Qlik or PowerBI Preferred Skills

NCASI is seeking a professional for its Sustainability Program team who has expertise in process engineering and energy generation/management. As the Senior Research Scientist, Energy, you will be conducting work on projects that will directly contribute to addressing the energy-related and in-plant process engineering information needs associated with the environmental performance of the forest products industry. In this role, you will be responsible for conducting comprehensive literature reviews and database searches; reviewing technical, government, and peer-reviewed manuscripts; and undertaking systematic process engineering and energy data analyses. Working closely with other NCASI staff, you will ensure timely completion of program projects related to energy-related topics of relevance to the forest products sector, including fuel- and energy-related accounting and reporting, water sustainability, waste reduction, and performance metrics benchmarking. This position will involve significant interaction with forest products industry companies, as well as interaction with industry trade associations, government at federal and state levels, research organizations, and academia. This is an exciting opportunity to be part of a respected research organization dedicated to improving the environmental profile of the forest products industry. If you are passionate about energy-related research in the context of environmental performance enhancement, and seek to make a meaningful impact, we encourage you to apply for this position. Essential Job Functions: 1. As a contributor to NCASI’s Sustainability Technical Studies Program research projects, primary responsibilities include: • working closely with the Director, Sustainability and other staff members to ensure completion of tasks., • executing research activities and technical project work that is topically relevant, scientifically credible, cost-effective, and marked by a significant level of self-direction. This work can include conducting comprehensive literature reviews, database searches, and process engineering & energy data analyses., • preparing timely and original technical reports, journal articles, and other written communications, meeting the highest standards of quality and scientific objectivity., • presenting research findings verbally at NCASI and other meetings and conferences., • having the ability to read, absorb, process, and communicate complex information, in English., • having the ability to get to and work from the NCASI office, as required. 2. As a scientist in their area of expertise, maintain knowledge of current issues and technical advances through review of current literature, participate in appropriate professional society conferences, and communicate with leading researchers and regulatory personnel involved in this field., 3. As a resource on relevant energy-related regulations, maintain knowledge of existing and forthcoming US federal and state energy-related regulations and policy decisions., 4. As a contact providing technical support to industry: • respond to technical and scientific queries from member companies and industry organizations in a clear, competent, and timely manner, striving for delivery of material to be used in responses to member-specific questions within one working day., • use critical and integrative thinking skills to identify innovative and practical solutions to member company challenges., • maintain a current understanding of industry issues, including basic knowledge of energy-related issues outside primary area of expertise., • maintain knowledge of NCASI’s overall technical studies program, including familiarity with staff skill sets relevant for solving member issues., • As an NCASI representative at conferences, meetings, and off-site visits:, • present scientifically-sound, credible technical information, and objectively evaluate the potential utility of that information for environmental and energy-related management decision-making., • foster relationships with current member companies as well as with potential new member companies., • develop relationships with external stakeholders in a respectful manner., • conduct all activities in a professional manner., • As a staff member of NCASI:, • act in a manner that is honest and respectful of co-workers, exhibiting a strong sense of integrity and candor., • undertake research and technical studies in collaboration with other NCASI staff, as appropriate, in a manner that fosters a strong team-based environment that is founded on sharing and learning knowledge from others. Additional Responsibilities: • Undertake additional activities, as assigned by Supervisor. Minimum Qualifications: • Ability to analyze and interpret process manufacturing and energy-related data using a methodical approach., • Knowledge of pulp and paper and/or wood products manufacturing operations., • Ability to navigate the US environmental regulatory landscape., • Ability to work with relational databases., • Knowledge of Microsoft Office and programming languages, such as R and/or Python., • Outstanding attention to detail., • Organized self-starter with the ability to work independently and proactively., • Ability to successfully manage multiple work priorities., • Excellent verbal and written communication skills in English. To apply for this position, please submit your resumé to: Dr. Barry Malmberg Director, Sustainability NCASI PO Box 271 Sheridan, WY 82801 Review of applications will begin on May 1, 2026, and will continue until the position is filled.

___Job ID292884 LocationAtlanta, Georgia Full/Part TimeFull-Time Regular/TemporaryRegular ______ Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority., 2. We strive for excellence., 3. We thrive on diversity., 4. We celebrate collaboration., 5. We champion innovation., 6. We safeguard freedom of inquiry and expression., 7. We nurture the well-being of our community., 8. We act ethically., 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Atlanta, GA About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report. In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree. Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia. ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity. The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few. 1. Research Leadership in Foundation Models, World Models, and Frontier AI • Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale., • Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments., • Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models., • Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities. 2. Lab Management and AI Compute Infrastructure Operations • Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks., • Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks., • Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets., • Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation. 3. Affiliate Engagement, Business Development, and Partnerships • Engage, onboard, and support affiliate companies participating in the AI and foundation model research program., • Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users., • Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations., • Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer. 4. Project Management and PhD Mentorship • Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning., • Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction. Bachelor's Degree in Electrical Engineering, Physics, or related area. Research Scientist/Engineer II • A Master's degree and three (3) years of relevant full-time experience after completion of that degree,, • A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or, • A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,, • A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or, • A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree., • PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development., • Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems., • Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines., • Demonstrated experience mentoring students or leading technical AI teams. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at ___. Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at ___. The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is not considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position does not require security clearance. Successful candidate must be able to pass a background check. Please visit ___

Staff Scientists will have leadership responsibilities and will oversee quality and training of other team members.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunic

Under minimal supervision, the Assistant Academic Research Scientist performs a wide range of highly technical and complex tasks necessary to advance basic and/or translational research programs.

Successfully lead engagements to ensure client satisfaction and ensure deliverables are sent on time and are of rigorous scientific quality.

This vacancy is an open rank announcement.

Senior Staff Research Scientist II: Informational Bioinformatics Researcher. About the job Senior Staff Research Scientist II: Informational Bioinformatics Researcher.

Discover Your Career at Emory University.Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future.We welcome candidates who can contribute to the excellence of our academic community.Under minimal s

PhD and one year of professional level experience in a technical or research lab OR master's degree and three years of professional level experience in a technical or research lab OR bachelor's degree and five years of professional level experience in a technical or research lab. The Associate Acade

PhD OR master's degree and two years of professional level experience in a technical or research lab OR bachelor's degree and four years of professional level experience in a technical or research lab. The Assistant Academic Research Scientist will be a team player who is willing to learn on the job

About the job Staff Research Scientist III: Scientific Programmer I.Staff Research Scientist III: Scientific Programmer I*.R&D startup based in Atlanta, Georgia that has an opening full-time/permanent position for an experienced.Atlanta, Georgia that has an opening for a full-time/permanent position

Relevant industrial research and development experience in addition to formal training in computational physics/chemistry, computer science, applied mathematics or statistics.

Staff Scientists will have leadership responsibilities and will oversee quality and training of other team members.

Use your skills to make an impact Required Qualifications Master's Degree and 4+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production‑ready AI solutions. Computer Science, Data Science, Machine Learning, or a rel

Job Description Applied Data Scientist Applied Research Group – Supply Chain Optimization About GAINS GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our decision intelligence platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster— and it's not a tagline, it's how we're redefining what's possible in driving supply chain decisions. About the Role As an Applied Data Scientist on the Applied Research Group at GAINS, you will research, design, build, and deploy production ML models that directly improve supply chain outcomes for enterprise customers. This is a hybrid role that spans the full ML lifecycle—from exploratory analysis and model development through production deployment and ongoing performance tuning. Your work will address core supply chain problems where machine learning delivers measurable business value. On any given week, you might be designing a new feature engineering approach, running experiments to evaluate alternative modeling techniques, debugging model drift for a specific customer, or building pipeline infrastructure to operationalize a new ML capability. You will collaborate closely with product managers, professional services, software engineers, and customer-facing teams to translate complex supply chain challenges into well-scoped ML solutions. This is a hands-on IC role with high autonomy and direct impact on customer outcomes and revenue. You will own ML projects end-to-end—the science and the engineering. A Day in the Life * Research, design, and develop machine learning models for supply chain applications that drive measurable improvements in operational efficiency and planning accuracy * Perform exploratory data analysis, statistical modeling, and feature engineering on large, complex supply chain datasets to identify signals and improve model performance * Design and run experiments to evaluate new modeling approaches, loss functions, feature sets, and hyperparameter configurations—interpreting results and translating findings into production improvements * Build and maintain robust ML pipelines that process, clean, and transform data from enterprise supply chain systems (SQL databases, APIs, ERP integrations) * Deploy and maintain models in cloud-based production environments, managing the full lifecycle from training through inference and monitoring * Implement model evaluation, drift detection, and monitoring frameworks to ensure reliability across diverse customer environments * Diagnose and resolve model performance issues for individual customers—investigating data quality, feature behavior, and distributional shifts * Partner with product managers, professional services, and engineering teams to understand customer problems and scope ML solutions appropriately * Communicate findings, model behavior, trade-offs, and recommendations clearly to both technical and non-technical stakeholders * Contribute to the team’s technical direction on ML methodology, architecture, tooling, and best practices Required Qualifications * Bachelor’s degree in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field; or equivalent professional experience * 3+ years hands-on experience in applied machine learning or data science roles, with models developed and deployed to production * Strong Python skills with experience writing clean, maintainable, production-grade ML code * 3+ years professional SQL experience, including complex queries against large enterprise datasets * Deep understanding of statistical and machine learning methods: gradient boosting (LightGBM, XGBoost, CatBoost), regression, decision trees, clustering, time series techniques, and model evaluation methodology * Experience with feature engineering for structured and tabular data, including domain-informed feature design, temporal feature construction, and feature selection techniques * Demonstrated ability to design experiments, evaluate model performance rigorously, and iterate on approaches based on empirical results * Experience building and maintaining ML pipelines—data ingestion, feature engineering, training, evaluation, deployment * Working knowledge of cloud-based ML infrastructure (Azure preferred; AWS or GCP acceptable) * Strong communication skills with the ability to explain model behavior, experimental results, and trade-offs to non-technical audiences * Self-directed with a track record of owning ML projects end-to-end—from problem formulation through production delivery—with minimal supervision Preferred Qualifications * Master’s or PhD in Computer Science, Statistics, Data Science, Engineering, Operations Research, or a related technical field * Experience in supply chain, operations, or logistics domains * Background in time series modeling, probabilistic methods, or optimization techniques applied to operational problems * Familiarity with Databricks, Spark, or similar distributed compute platforms for ML workloads * Experience with Azure services: Azure ML, Container Apps, App Configuration, DevOps pipelines * Experience working directly with enterprise customers to tune, validate, and explain model outputs in their specific business context * Experience with MLflow for experiment tracking and model versioning * Experience with Kafka or similar event streaming platforms for real-time data integration * Curiosity about the business processes your models serve and motivation to understand how supply chain decisions are actually made Core Competencies * Customer Impact: Builds solutions with the end customer in mind—measures success by business outcomes, not model metrics alone * Analytical Depth: Goes beyond surface-level results to understand why models behave the way they do, especially when they fail—combines scientific rigor with practical problem-solving * Engineering Rigor: Writes production-quality code, designs reliable pipelines, and thinks about failure modes before they happen * Manages Complexity: Navigates messy real-world data and ambiguous problem definitions to deliver practical, scalable solutions * Communicates Effectively: Translates technical model behavior and experimental findings into clear narratives for product, services, and leadership audiences * Drives Results: Takes ownership, follows through on commitments, and delivers measurable improvements to customer outcomes Technology Environment Python, LightGBM, SQL, Azure (Container Apps, ML, DevOps), Databricks, Git/GitHub. Enterprise supply chain platform with SQL Server backends and REST APIs. Why GAINS • Work on software that leverages AI and ML to solve real logistics challenges for customers, • Direct impact on developer experience across the entire engineering org, • Collaborative, low-bureaucracy environment where engineers own their work end-to-end, • Competitive compensation and benefits We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply. Powered by JazzHR PXUNIuJHW7

Job Description Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours? Position Overview Hunter Douglas is seeking a motivated and experienced Data Scientist to join our growing AI Analytics & Digital Transformation team. This individual will play a key role in advancing Hunter Douglas's digital and data-driven transformation by leveraging AI, machine learning, and advanced analytics to optimize operations, enhance customer experiences, and support strategic decision-making across our global business. The successful candidate will partner with business leaders across supply chain, logistics, manufacturing, sales, and customer experience to identify opportunities where AI and data science can drive measurable value — from predictive demand modeling and inventory optimization to intelligent automation and sustainability initiatives. What you'll do • Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain., • Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability., • Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals., • Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve., • Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges., • Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas's digital transformation initiatives., • Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment., • Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions., • Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling., • Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption., • Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas's VIBE platform and data ecosystem., • Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility., • Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications., • Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows. Who you are • Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related)., • 5+ years of experience in AI/ML model development, deployment, and performance optimization in a business or industrial context., • Strong proficiency in Python, R, or SQL for data science and model development., • Demonstrated experience with machine learning frameworks and cloud platforms (AWS, Azure, GCP)., • Proven ability to design and operationalize data science solutions in real-world environments., • Experience with predictive modeling, optimization, and time-series forecasting, ideally within supply chain, operations, or commercial analytics., • Knowledge of data visualization and BI tools (Power BI, Tableau, or similar)., • Strong problem-solving, analytical, and communication skills., • Familiarity with version control (Git) and collaborative development practices. Preferred Education, Experience, and Skills: • Master's in Data Science, Engineering, Statistics, or related quantitative discipline., • Experience working in manufacturing, supply chain, or consumer goods industries., • Knowledge of IoT data analytics, predictive maintenance, or computer vision in industrial applications., • Understanding of AI frameworks and automation pipelines for large-scale AI deployment., • Proven ability to manage multiple projects and deliver business impact through analytics., • Strong collaboration and communication skills to engage with diverse business teams., • Experience working with ERP and supply chain systems (SAP, Kinaxis, Oracle, etc.). Travel: • Travel up to 20% may be required for project collaboration and site visits What's in it for you • Annual base salary range: $95000-$125000, • Bonus target range: 20%-25%, • Generous benefits package including medical, dental, vision, life, disability, • A company culture that prioritizes internal development and professional growth, • Time off with pay, • 401(k) plan with a degree of employer matching, • Paid parental leave #LI-SA1 #L1 - HYBRID By submitting your application below, you are providing your prior consent to receive SMS messages to notify you of any updates to your application status and to engage in discussion throughout your application process. You can cancel the SMS service at any time. Just text "STOP" to any of our texts to unsubscribe. Message & data rates may apply. Message frequency may vary. If you have any questions regarding privacy, please read our privacy policy, or terms of use

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: • Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements, • Develop data models top optimize and improve work of e-commerce functions, • Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance, • Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance, • Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics, • Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements:, • Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science)., • Must have data modeling, predictive analytics and/or machine learning experience, • 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software, • MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS, • Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI, • This is not a developer position, but you must possess strong SQL coding skills, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have:, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Proficiency in Excel, PowerPoint, MS Access is a plus, • Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark, • Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Job DescriptionStaff Scientist – Environmental Assessments Annual Salary Range: $70,000–$95,000 BLEW is excited to announce an opening for a Staff Scientist specializing in Environmental Assessments. In this role, you will be instrumental in managing projects that involve both environmental and physical property condition assessments across the United States. This is a fantastic opportunity to grow within the commercial real estate due diligence industry. We are seeking candidates who have the ability to perform one or more of the following types: • ESA, • PCA, • ESA/PCA Dual, • FMAC ESA / FMAC PCA / FMAC Dual, • FNMA SBL ESA / FNMA SBL PCA / FNMA SBL Dual, • RADON, • EQUITY PCA, • ASM Sampling, • MEP/HVAC, • LBP Assessment, • Construction, • Phase II, • Seismic Risk Responsibilities • Conduct and prepare Environmental Site Assessments (ESA, PCA, or other reports for which you are qualified as listed above)., • Provide clear, well-supported recommendations and solutions to Managing Directors and clients while understanding how assessments impact transactions., • Oversee quality control throughout project lifecycles., • Conduct site visits and lead fieldwork activities., • Write Report., • Perform research (historical, regulatory, etc.) and compile supporting data., • Communicate with clients and site representatives., • Prepare professional supporting documentation (figures, appendices, etc.)., • Minimum of 3-5 years of experience in conducting assessment work in either ESA / PCA's., • Strong understanding of the ASTM protocols and relevant regulatory requirements., • Excellent written and verbal communication skills., • Strong analytical thinking and problem-solving abilities., • Ability to manage multiple projects and meet strict deadlines., • Familiarity with industry standard report writing software's i.e. Quire / Parcel., • Professional certifications in any of the disciplines is a plus., • 95% coverage of health benefits including Medical and Dental with optional family and/or dependent enrollment paid by employee at a group rate, • 50% company contribution towards Vision coverage, • Tuition reimbursement (up to $5,250 per year), • 401(k) matching program: company match 100% of your deferrals up to 3% of your compensation, plus 50% of your deferrals over 3% not exceeding 5% of your compensation, • 100% employer paid Short-Term Disability with employee buy up options, • 100% employer paid Life Insurance Coverage with employee buy up options, • Paid parental leave, • Holiday pay, • Sick pay, • Paid vacations, • Possible year-end bonuses based on performance and tenure, • Company computer, • Relocation and Sign on Bonuses may apply

Job Description CDC Laboratory Support – Biological Scientist, Level 1 Chippewa Government Solutions, a Sault Tribe Inc. (“STI Federal”) company, is searching for a dynamic and skilled Biological Scientist to be a key part of our expanding team! Who We Are & What We Do… At STI Federal, we drive growth through strategic government contracting, fulfilling our mission to support the Sault Ste. Marie Tribe of Chippewa Indians. Our company reinvests 100% of its profits into tribal businesses or community programs, enhancing the well-being of nearly 50,000 tribal citizens. Our work empowers federal agencies and strengthens some of the nation’s most critical initiatives, while fostering opportunities for skilled professionals to make a meaningful impact. What You’ll Do… As a Biological Scientist, you will play a pivotal role in supporting the Influenza Division of the CDC by providing laboratory support as sort of a Jack-of-all trades with various tasks. Your work will contribute to the development and assessment of diagnostic methods and vaccines to improve responses to potential outbreaks. Key Responsibilities & Expected Outcomes • Pick up lab supplies from DSR, • Respond to notifications of incoming packages from Stat lab; pick them up, • Unboxing and verification of inbound shipments, • Pre-accessioning of specimens, • Assisting with autoclave and other waste removal, • Shipment support, ensuring correct viruses are packed in each box, • Buffer and reagent support, • Demonstrates a dedication to upholding and enhancing STI Federal’s core values., • Excels in a collaborative team environment, fostering positive relationships and contributing to shared goals with professionalism and mutual respect., • Familiarity with Laboratory Information Management Systems (LIMS)., • Understanding of laboratory safety regulations, including CLIA, ISO, and OSHA standards., • Strong analytical skills, including proficiency in Microsoft Excel and other data analysis tools., • Exceptional organizational and documentation skills. Minimum Qualifications • Bachelor's degree in life science,, • Previous laboratory experience/exposure a plus. Preferred Qualifications • Bachelor’s degree in Biology, Molecular Biology, Microbiology, or related biological science., • 2+ years of relevant experience, particularly in influenza research., • Familiarity with advanced laboratory standards and techniques. Compensation & Work Environment • Salary Range: $70,000 – $75,000, dependent on experience., • Environment: Work will be performed in a climate-controlled laboratory environment. STI Federal is an Equal Employment Opportunity Employer. We are committed to creating a diverse and inclusive workplace. Qualified applicants are considered for employment regardless of age, disability, ethnicity/race, national origin, religion, gender, gender identity, sexual orientation, or veteran status. Native American preference applies when candidates meet qualifications equally. STI Federal participates in the Electronic Employment Verification Program. Learn more about E-Verify.

Job Description Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to work in the United States Language Requirements English About PRGX PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit . Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships. · Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions. · Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment. · Stay up-to-date with the latest research and developments in machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of experience applying machine learning techniques to solve complex data problems. · Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. · Experience with data preprocessing, feature engineering, and data visualization techniques. · Proficiency in Python programming, and experience working with big data tools such as Spark. · Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. · Strong problem-solving skills and attention to detail. · Experience with agile development methodologies and version control tools such as Git. Preferred Qualifications: • Experience working with natural language processing (NLP) techniques., • Familiarity with deep learning frameworks such as TensorFlow or PyTorch. PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices. Physical Requirements Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication Data Privacy Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.

Sponsored Funded Professional - Research Scientist I. Designs and implements research protocols and projects, including designing recruitment, sampling, and data measures to advance research goals. Collaborates on the development of research proposals using training in research methods and applying

The Georgia Cancer Center (GCC) at Augusta University (AU) is seeking a faculty member at the rank of Assistant Research Scientist. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cance

The Associate Academic Research Scientist performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs. T

You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. Day‑to‑Day Responsibilities Research and develop production‑grade Machine Learning models as described above. Stay current in the field – read re

The Associate Academic Research Scientist performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs. W

The Associate Academic Research Scientist performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs. W

Primary responsibilities include recruiting and consenting research participants, maintaining and managing clinical samples, reviewing electronic medical records, and supporting other activities related to ongoing clinical research projects within the Center. The candidate will also be expected to p

The Associate Academic Research Scientist performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs. P

The Research Scientist will lead and support research initiatives within the Tactical and Occupational Performance (TOP) Institute focused on improving the health, fitness, and performance of Warfighters and other tactical athletes. Participate in development of research protocols that may include b

The Associate Academic Research Scientist performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs. P

The Associate Academic Research Scientist performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs. T

The Associate Academic Research Scientist performs a wide range of highly technical and complex research duties and has documented scientific achievements and increasing technical, management, leadership, and professional expertise necessary to advance basic and/or translational research programs. P

The Operations Decision Science team at Delta seeks an operations research scientist to take on developing data-driven solutions aimed at continually improving airline performance and decision making. An appropriate candidate will have good technical knowledge of operations research optimization mod

Scientific, Research & Analysis. This role will be a member of the research team, providing support across multiple projects for the U. Army Research Institute (ARI) and other government agencies.

ODS currently seeks a scientist to develop insights, machine learning models, and solutions aimed at continually improving airline performance and decision making. Our team is looking for a senior-level scientist to make a real-world impact by developing analytical solutions to deliver the best air

We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies. Most research studies are conducted remotely at home, though some may be in-person.