Principal research scientist jobs in Chapel Hill, NC

ChromaGenix is an innovative start-up providing essential chromatography tools used globally to purify advanced biological therapeutics. As we expand, we are seeking an experienced Upstream/Midstream Scientist to support the development and commercialization of cutting edge purification media which are used globally in the biopharmaceutical industry. This is a unique opportunity to work onsite in our brand-new facility, where you'll help lead the production of biological material to enable the effective testing and understanding of key product performance attributes. Key Responsibilities · Production and characterization of non GMP feed material from both HEK and CHO lines · Design and upscale upstream and midstream processes from ml up to 25 liter scales · Transfer of processes from shake flasks to bioreactors · Generating robust processes and proceduralize them · Support product testing and analysis of new products developed at ChromaGenix Essential Criteria · Degree in Life Sciences, Biotechnology, or a related field · Minimum 5 years of experience in upstream roles · Process experience from transfection to depth filtration · Analytical experience in relevant techniques including but not limited to Elisa, HPLC, SEC and flow cytometry · Ability to thrive in a rapid-growth start-up environment Desirable Criteria · PhD in Life Sciences, Biotechnology, or a related field · Downstream purification techniques utilizing FPLCs · Experience with DoE and statistical analysis · Working knowledge of ISO9001, ICH and FDA standards and guidelines Be part of something impactful. Join ChromaGenix in shaping the future of biologics purification on the ground floor of our new manufacturing operation and in one of America's most exciting life sciences hubs.

Must Haves: Ph.D. in Molecular Biology or Microbiology (recent graduates encouraged). Strong emphasis on molecular biology techniques; microbiology experience required. Ability to design and conduct independent research projects. Skilled in isolating strains within microbiota for probiotic applications. Proficient in data collection and statistical analysis using familiar software (e.g., R, Python, SPSS). Hands-on lab experience in molecular and microbiology methods. Dependable and capable of working independently with minimal supervision. Demonstrated interest in pollinators and sustainability, showing commitment beyond routine tasks. About the Role: We are seeking a Postdoctoral Researcher specializing in honey bee microbiology and molecular biology to lead an innovative research project focused on honey bee gut microbiomes and their impact on colony health and behavior. This full-time, 18-month position offers competitive pay and the potential for extension. The role combines cutting-edge research with an opportunity to contribute to the development of a novel honey bee health product. Work will take place at this university client's main campus. Occasional travel to scientific conferences may be required. Day-to-Day: Perform honey bee gut dissections and collect gut microbes. Prepare and maintain honey bee colonies at the apiary. Conduct experiments exposing caged bees to gut homogenates and monitor health and behavior. Run molecular assays such as 16S rRNA sequencing and qPCR to characterize microbiomes. Analyze collected data using statistical software (e.g., R, Python). Document findings, draft reports, and prepare figures for publications or presentations. Isolate microbes of interest for probiotic development. Mentor and train student researchers on lab and beekeeping techniques. Collaborate with the PI on experimental design and assist with related projects. Contribute to product development and commercialization efforts, including patent preparation.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a graduate-level course, research project, or internship involving the following: 14. 1. Solving analytical problems using quantitative approaches 15. 2. Communicating complex research in a clear, precise, and actionable manner 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU 19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models 20. 7. Java, C++, Perl, PHP, or Python **Public Compensation:** $213,512/year to $240,240/year + bonus + equity + 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.

**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. Simply put - we power the future. 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. **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.

Requirements Advanced degree (e.g., M.D., Ph.D., J.D.) or equivalent experience Five years of professional experience Peer-reviewed publications Demonstrated experience securing and managing funded grants or contracts

THIS POSTING IS FOR TWO IDENTICAL POSITIONS ( POSITION NUMBERS 20071670 & 20071671). BY APPLYING TO THIS POSTING , YOU WILL BE CONSIDERED FOR BOTH AVAILABLE POSITIONS . The University of North Carolina at Chapel Hill is seeking a Research Scientist to direct, perform and attract funding for research in its Institute for Risk Management and Insurance Innovation ( IRMII ). This research involves a unique set of skills and expertise to be used in developing computational models that characterize and manage financial risk across a wide range of contexts, from flooding to pandemics to cyberattacks. This includes knowledge of engineering, data science and domain specific expertise in at least one additional area related to financial risk (e.g., environment, public health). Outcomes from this research involve (1) quantification of financial risk through the linking of models that characterize natural, engineered/managed and economic systems, and (2) the subsequent development of novel tools and strategies for managing financial risk. The successful candidate will engage in the development of interdisciplinary computational models that link natural, engineered/managed and economic systems for the purpose of quantifying financial risk, and then develop tools and strategies for managing that risk. Model development will include detailed computational renderings of these coupled systems in a stochastic simulation environment. These projects will span a range of regions (e.g., California, U.S. Pacific Northwest, U.S. Southeast, Africa) and a number of different economic sectors (e.g., power utilities, water utilities, agriculture, real estate, health care facilities), requiring an understanding of the financial linkages in these sectors, as well as the modeling skills to represent them accurately. In addition to model development, this individual will undertake to train graduate students and post-doctoral researchers in the conduct of this research and oversee their modeling efforts, then assist in the drafting of manuscripts, reports and oral presentations detailing the research. The successful candidate will be responsible for managing research personnel, including graduate students and post-doctoral associates to ensure that project milestones are met, project reports are completed and all requirements of the funders are fulfilled on time and in a satisfactory manner. The individual may also play a central role in coordinating activities with industry partners and/or multiple PIs in large interdisciplinary studies, ensuring that each member of a research team remains connected and coordinated. Other duties will include overseeing the collection, organization and storage of project data in appropriate repositories; monitoring of data sharing/data use agreements with partner organizations, and; coordinating multi-institutional modeling efforts by facilitating intra-team communication and the use of appropriate model sharing platforms (e.g. Github). The successful candidate will be responsible for assisting with, and in some cases leading, the conception, writing and preparation of new proposals to state and federal funding agencies, as well as other groups for the purpose of securing research funds. This will include not only the development of the research hypotheses and proposal framing, but budget development, inter-institutional partnership arrangements and coordination with both the Institute's operations manager and the University's Office of Sponsored Research. This individual will also be involved in communications with the funders, including response to reviewers, budget revisions and the preparation of annual reports. Required Qualifications, Competencies, And Experience The successful candidate must have experience in computational modeling that includes elements of engineering, natural science, economics and finance. Experience must also extend to developing interdisciplinary models that incorporate principles from each of these areas into a cohesive whole that enables the characterization of financial risk and subsequent strategies for managing this risk. Computational modeling skills are critical, as is fluency in one or more programming languages (e.g., Python, R, C++). The individual should have the ability to foster partnerships across diverse areas of research expertise and the ability to facilitate collaboration with other institutions, industry partners, and funding agencies. The individual should also have experience in manuscript writing. Preferred Qualifications, Competencies, And Experience At least 3 years of relevant experience is preferred. Research experience that would support the case for an eventual appointment as a research or adjunct faculty member at some future point would be a plus.

The Duke Center for In Vivo Microscopy, Dept of Radiology has a strong history in high-field magnetic resonance microscopy. One of our research teams develops hyperpolarized 129Xenon (Xe) MR for preclinical imaging of pulmonary disease in small animal models, and for clinical imaging in patients. The person in this position will oversee the operations and continued development of our 129Xe hyperpolarization infrastructure. Job Description The person in this position will oversee the operations and continued development of our 129Xe hyperpolarization infrastructure. • Operate, maintain, and perform quality assurance of hyperpolarization systems (preclinical and clinical polarizers) and small animal ventilators • Oversee equipment upgrades and performance enhancements • Order and maintain all gases and consumables required for their use • Develop and maintain standard operating procedures, and train operators • Maintain batch record documentation • Assist with preclinical and clinical studies, image archiving, and transfer of images • Develop other technical capabilities - coils, pulse sequences, analysis code • Initiate, develop, and perform tasks for new projects Qualifications EDUCATION: PhD preferred, but will consider BS (or higher) in biomedical engineering or physical sciences EXPERIENCE: Strong hands-on capabilities. Proficiency with vacuum systems, optics, electronics, and computer software/hardware, machining, and data acquisition techniques. ADDITIONAL BENEFICIAL SKILLS: Hyperpolarized gas physics, vacuum technology, MATLAB, LabVIEW, C, electromechanical assembly and testing. Additional Information All your information will be kept confidential according to EEO guidelines.

At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, Syngenta's Bioinformatics Team is seeking an AI Scientist, located in Durham, North Carolina. This role will support senior scientists to train, modify, and apply deep learning models and will join cross-functional research teams to deliver the next generation of predictive and prescriptive technologies to support the product pipeline. The AI Scientist will become an active member of the Bioinformatics Group and drive innovation in a rapidly evolving scientific discipline. Accountabilities: * Synthesize results and clearly communicate progress and challenges to project team members. * Data preparation for internal ML/DL projects, including data QC, basic statistical analysis, preprocessing, etc. * Identification of public data sources for DL based on identified use cases. * Exploration and internal implementation of new model architectures available in the public domain. * Modification of existing DL model architectures to support new use cases. * Development of workflows that utilize DL models to support cross-functional project teams. * Evaluation of model performance with new data. * Presentation of results to relevant parties.

Job DescriptionDescriptionThis position is ideal for an early-career machine learning scientist to join the AI & Machine Learning team as a Machine Learning Scientist, supporting photo-based diagnostics and remote treatment monitoring. Partnering with other machine learning specialists and product marketing, you'll provide technical solutions to complex problems in computer vision and 3D data analysis to support Align's product portfolio. This role is key to building out Align's core technology capabilities. Role expectations Use data science and machine learning to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment Develop algorithms and models in collaboration with business partners, product managers, and software engineers to solve key business initiatives Design and implement machine learning techniques to improve treatment planning, customer engagement, and device manufacturing based on historical data Collaborate effectively with other data science teams globally to ensure technology re-use and transfer of new capabilities to drive innovation Quickly learn and assimilate new business processes, ideas and concepts to formulate conclusions and deliver results. Identify features and data needed for machine learning solutions. Help to deliver a vision for our product evolution using machine learning Stay current on the emerging directions in AI-technologies and support the development of the AI/ML roadmap Stay current on specific AI-technologies and apply them in an appropriate manner to applicable projects What we're looking for What we're looking for 5+ years of relevant experience 2+ years of machine learning research practice (including graduate work) Masters degree or higher in Computer Science, Statistics, Machine Learning, Statistical Data Modeling or related field. Knowledge of machine learning theory and practice. 2+ years in a data-science-oriented programming language such as Python or R Strong interpersonal, oral, written, and visual communication skills, with ability to present findings concisely and effectively. Ability to collaborate effectively with developers, program management, and internal customers on objectives, requirements and design constraints in a distributed development environment. Able to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment Experience in developing software in an Agile SDLC Experience in collaborative work with users and other technical teams Strong background in Computer Vision, Pattern Matching, or Medical Applications. Pay TransparencyIf provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All BenefitsWe are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment Back-up Child/Elder Care and access to a caregiving concierge Family Forming Benefits - Available to Employees, and their spouse or domestic partner, covered under one of Align's health plans Breast Milk Delivery and Lactation Support Services Employee Assistance Program Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan Employee benefits. Align offers its employees: Short-term and long-term disability insurance in accordance with those plans. Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans. Flexible Spending Accounts - Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan. 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years - 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options. Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible). Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure. Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours. 11 Company-designated paid holidays throughout the year. If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law. Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.

The Joint School of Nanoscience and Nanoengineering (JSNN) at North Carolina Agricultural and Technical State University (NC A&T) invites applications for a full-time research scientist position. We are looking for a highly motivated and talented research scientist to join our team in the field of nanomaterials. This is a DoD-initiated multiple year project with extensive industry support. The applicants are expected to have a Ph.D. degree in Nanoscience/Nanoengineering, Materials Science/Engineering, Chemistry, or a related discipline from an accredited institution with solid background in nanomaterials and abundant experience in nanoparticle synthesis such as metal nanoparticles, co-shell nanoparticles, ceramic nanoparticles, and hybrid nanoparticles, as well as nanoparticle characterization and application. The research scientist will carry out research in the field of nanomaterials particularly nanoparticles including material design, synthesis, characterization, and application, publish peer-reviewed journal articles, write and submit research report and grant proposals, disseminate research results and foster research collaborations, mentor and train graduate and undergraduate students, as well as additional duties under the supervision of the PI. The research scientist will enjoy a dynamic and collaborative working environment. This is a renewable position subject to satisfactory performance and availability of funding. US citizenship or lawful permanent residency is required. Primary Function of Organizational Unit North Carolina Agricultural and Technical State University (NC A&T) is a public land grant doctoral university and a constituent member of the University of North Carolina (UNC) system with an enrollment of over 15,000 students. NC A&T is classified as "R2-High Research Activity" by the Carnegie Foundation and is poised to achieve "R1-Very High Research Activity" Status. The Joint School of Nanoscience and Nanoengineering (JSNN) is an academic collaboration between NC A&T and the University of North Carolina at Greensboro (UNCG). JSNN is a $56.3 million, 105,000 square foot state-of-the-art science and engineering education and research facility. JSNN builds on the strengths of the two universities to offer innovative and cross-disciplinary M.S. and Ph.D. graduate programs in the emerging areas of nanoscience and nanoengineering. JSNN partnered with Georgia Tech and was awarded a National Nanotechnology Coordinated Infrastructure (NNCI) grant titled "Southeastern Nanotechnology Infrastructure Corridor (SENIC) by the National Science Foundation. JSNN and SENIC have provided great opportunities to conduct competitive nanoengineering research at NC A&T. The Department of Nanoengineering is dedicated to educating the next generation of leaders in nanotechnology, advancing the understanding of nanoscale phenomena and applications, and serving society through education, outreach, and development of cutting-edge technologies. Committed to excellence in teaching, research, and community engagement, the department strives to achieve national distinction and preeminence in the field. Minimum Requirements (1) Ph.D. in Nanoscience/Nanoengineering, Materials Science/Engineering, Chemistry, or related discipline from an accredited institution. (2) Solid background in nanomaterials and abundant experience in nanoparticle synthesis. (3) Self-motivated and independent researcher. (4) Good communication skills. (5) Publication record. (6) Experience in mentoring students. Preferred Years Experience, Skills, Training, Education (1) Previous experience in nanoparticle synthesis such as metal nanoparticles, co-shell nanoparticles, ceramic nanoparticles, and hybrid nanoparticles, as well as nanoparticle characterization and application. (2) Proficiency in analytical tools like SEM, TEM, DSC, and other nanomaterial characterization techniques. (3) Excellent critical thinking, writing, communication, teamwork, and organization/management skills. Required License or Certification N/A Is this position eligible for a remote or hybrid work arrangement, consistent with university and state policies. On-site (Employees are primarily in the office and/or have a critical job requirement that requires dedicated office space on-site)

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description • The incumbent will join the Manufacturing Science and Technology (MSAT) organization supporting biological therapeutics and vaccines. Within MSAT, the candidate will work in the Purification Group, which develops processes for isolation and purification of recombinant proteins, polysaccharides, bioconjugates, and other biologics. • Execution of lab or pilot-scale purifications using column chromatography, Tangential Flow Filtration (TFF), and/or Normal Flow Filtration (NFF), as needed. • Preparation of equipment, solutions, consumable materials, etc. as needed to support experiment execution. • Preparation of technical reports and presentations to communicate results to scientists and management, as required. Qualifications Able to execute experimental protocols, interpret data, and communicate results from experimental studies conducted at lab, pilot, or commercial scales. Additional Information Best Regards, Anuj Mehta ************

Company Information You Matter to Cambrex. Cambrex is a leading global contract development and manufacturing organization (CDMO) that provides drug substance, drug product, and analytical services across the entire drug lifecycle. With more than 40 years of experience and a growing team of over 2,400 professionals servicing global clients, Cambrex is a trusted partner in branded and generic markets for API and dosage form development and manufacturing. Your Work Matters. At Cambrex, we strive to build a culture where all colleagues have the opportunity to: engage in work that matters to our customers and the patients they serve learn new skills and enjoy new experiences in an engaging and safe environment strengthen connections with coworkers and the community We're committed to attracting and nurturing a passionate team of valued professionals in our fast-paced and growing company. We offer a competitive benefits package that includes healthcare, life insurance, planning for retirement, and more! Your Future Matters. Known for our customer-focused scientific and manufacturing excellence, as well as our strong commitment to quality and safety, we offer a range of career and growth opportunities across our global network of locations. Together with our customers, we aim to improve the quality of life for patients around the world. Start a career where You Matter by applying today! Job Overview Execute analytical methods and provide general analytical support, such as release and stability testing of drug substances and drug products. Able to organize routine work independently and to evaluate, troubleshoot and interpret generated data. Demonstrated understanding of method development and qualification / validation principles. Routinely and effectively interacts with clients to discuss data and methods. Works on problems of moderate and sometimes advance scope in which analysis of situation or data requires a review of identifiable factors. Exercises judgment within defined procedures and practices to determine appropriate action. Responsibilities Execute analytical methods for in-process control, release testing and stability monitoring of bulk drug substances and drug products under cGMP guidelines Independently develop and evaluate methodologies, design and implement experiments. Participates in experimental design, including development of methods and testing requirements to demonstrate method suitability. Maintains compliant records with little or no supervision Able to write technical documents with assistance Strong understanding and proficiency in use and maintenance of instrumentation, equipment, and scientific methodologies necessary to perform assigned tasks Perform assigned tasks carefully, safely and on schedule according to SOPs and supervisor instructions Sets up various instrumentation for testing according to written test methods and with little to no supervision. As needed, troubleshoots laboratory instrumentation Leads a sample project with assistance May participate in client level meetings, with approval May lead and develop other team members. May advise clients on site procedures. Responsible for ensuring compliance with cGMP and other regulatory guidelines. Analyze information for technical correctness and accuracy Compile, maintain, interpret and extrapolate data on results of analysis and communicate these results to supervisor Perform routine laboratory procedures in a timely and efficient manner Gain familiarization with analytical techniques Participate cGMP activities Provides input on SOPs and client questions Maintain laboratory equipment and supplies as directed May support peer-led laboratory investigations process with assistance Maintain a clean and safe work-space Maintain laboratory notebook and/or computer files (i. e. LIMS) according to standard, accepted practices Participate in group and project meetings as required Enter project hours promptly and update project status on appropriate tracking and/or timekeeping systems Attend seminars as required Participate in and comply with all current safety, health and environmental programs Shows initiative and interest in learning new techniques and tests Participates in technical discussions and brainstorming sessions Communicates issues or challenges to senior staff and/or management May review test data acquired by others and witness others' notebooks Assists with writing technical documentation such as OOS, atypical investigations, deviations and CAPAs Assists with writings standard operating procedures (SOPs), methods, qualification protocols and other standard documents as directed Provides input on SOPs and client questions With guidance, prepares well written and organized development reports Performs other related duties as assigned. Qualifications/Skills Working knowledge of experimental design, including chemistry supporting method development Working knowledge of analytical techniques and instrumentation such as NMR, IR, MS and HPLC. Working exposure to cross functional techniques including organic chemistry. Understands the chemical properties relating to method development, qualification /validation and troubleshooting. Able to comply to SOPs and basic regulatory compliance Working knowledge of scientific concepts, principles and procedures Actively and positively engages with team and supports process improvements Ability to read and execute compendial methodologies Strong understanding of current FDA and cGMP regulations General knowledge of chemistry and scientific calculations Hands on experience in analytical techniques such as HPLC, GC, etc Basic computer skills Ability to operate laboratory equipment and computers Ability to take direction from experienced scientists and contributes in a team environment Good problem-solving skills Good attention to details Can repeat and follow detailed scientific procedures with supervision Able to clearly present results verbally in group meetings and in written progress reports Routinely and effectively presenting findings to clients Good interpersonal skills and is willing to ask questions about procedures and concepts Aptitude and willingness to gain more skills and knowledge in support of GMP regulations Good written and verbal communication skills Familiarity with computer software such as Empower ChemDraw, Microsoft Word, PowerPoint, and Excel. Aptitude and willingness to gain more skills & knowledge. Good attention to detail and good problem-solving skills. Education, Experience & Licensing Requirements S. /B. A. Chemistry with 6+ years of experience in related industry or MS with 2+ years related experience Cambrex is an Equal Opportunity / Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Travel: Not applicable Physical Demands The physical demands described here 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. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; talk or hear and smell. The employee is frequently required to sit. The employee is occasionally required to stand; walk and stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 10 pounds, frequently lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required. Environment and 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. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts and vibration. The noise level in the work environment is usually very quiet. S. /B. A. Chemistry with 6+ years of experience in related industry or MS with 2+ years related experience Cambrex is an Equal Opportunity / Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Execute analytical methods for in-process control, release testing and stability monitoring of bulk drug substances and drug products under cGMP guidelines Independently develop and evaluate methodologies, design and implement experiments. Participates in experimental design, including development of methods and testing requirements to demonstrate method suitability. Maintains compliant records with little or no supervision Able to write technical documents with assistance Strong understanding and proficiency in use and maintenance of instrumentation, equipment, and scientific methodologies necessary to perform assigned tasks Perform assigned tasks carefully, safely and on schedule according to SOPs and supervisor instructions Sets up various instrumentation for testing according to written test methods and with little to no supervision. As needed, troubleshoots laboratory instrumentation Leads a sample project with assistance May participate in client level meetings, with approval May lead and develop other team members. May advise clients on site procedures. Responsible for ensuring compliance with cGMP and other regulatory guidelines. Analyze information for technical correctness and accuracy Compile, maintain, interpret and extrapolate data on results of analysis and communicate these results to supervisor Perform routine laboratory procedures in a timely and efficient manner Gain familiarization with analytical techniques Participate cGMP activities Provides input on SOPs and client questions Maintain laboratory equipment and supplies as directed May support peer-led laboratory investigations process with assistance Maintain a clean and safe work-space Maintain laboratory notebook and/or computer files (i. e. LIMS) according to standard, accepted practices Participate in group and project meetings as required Enter project hours promptly and update project status on appropriate tracking and/or timekeeping systems Attend seminars as required Participate in and comply with all current safety, health and environmental programs Shows initiative and interest in learning new techniques and tests Participates in technical discussions and brainstorming sessions Communicates issues or challenges to senior staff and/or management May review test data acquired by others and witness others' notebooks Assists with writing technical documentation such as OOS, atypical investigations, deviations and CAPAs Assists with writings standard operating procedures (SOPs), methods, qualification protocols and other standard documents as directed Provides input on SOPs and client questions With guidance, prepares well written and organized development reports Performs other related duties as assigned.

Real Staffing Group is a global staffing and recruitment specialist providing contract and permanent talent to a wide range of companies and industries. We take time to understand your career ambitions, working with you and for you at every stage of your job search. By applying our industry knowledge to your specific requirements we aim to supply you with the most effective route to your new career opportunity. To find out more about Real Staffing Group please visit http://www.RealStaffingGroup.com Job Description: • The incumbent will join the Manufacturing Science and Technology (MSAT) organization supporting biological therapeutics and vaccines. • Within MSAT, the candidate will work in the Purification Group, which develops processes for isolation and purification of recombinant proteins, polysaccharides, bioconjugates, and other biologics The incumbent responsibilities will include the following: • Execution of lab or pilot-scale purifications using column chromatography, Tangential Flow Filtration (TFF), and/or Normal Flow Filtration (NFF), as needed. • Preparation of equipment, solutions, consumable materials, etc. as needed to support experiment execution • Preparation of technical reports and presentations to communicate results to scientists and management, as required. Qualifications Requirement: • Bachelor's degree or graduate degree in Chemistry, Chemical Engineering or related biotechnology field. Industrial experience is preferred. • Experience with operating and monitoring of Tangential Flow Filtration (TFF), Normal Flow Filtration (NFF), and chromatography systems is desired • Experience with conjugation chemistry is highly desired. Additional Information All your information will be kept confidential according to EEO guidelines. IF THIS IS THE JOB OPPORTUNITY FOR YOU GIVE ME A CALL AT 646-357-1104 ASAP! I look forward to hearing from you!

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a university-level course, research project, internship, or thesis in the following: 14. 1. Algorithms, data structures, or systems software 15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and 19. 6. Java, C++, Perl, PHP, or Python **Public Compensation:** $225,569/year to $240,240/year + bonus + equity + 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.

**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. Simply put - we power the future. 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. **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.

The Tiley Lab is seeking to fill a temporary Research Scientist/Scholar position with expertise conducting research on quantitative targeted proteomics using LC-MS/MS in tissues and cells from humans. This project will be funded by the NIH - NICHD InTEC UC2 Grant. Active dates: July 1-September 1 2025. The Integrated Transporter Elucidation Center (InTEC) is a consortium of multiple universities that aims to advance our understanding of how placental transporters impact the disposition of endobiotics, xenobiotics, and overall pregnancy health. Funded by NICHD , InTEC utilizes novel technologies to profile the SLC and ABC transporter proteome, predict and validate novel substrates and regulators of placental transport, and simulate maternal-fetal disposition using a vascularized placenta-on-a-chip. The University of North Carolina ( UNC ) at Chapel Hill, Eshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics ( DPET ) is part of InTEC and is seeking to identify placental transport proteins measurable by targeted proteomics and to create new methods to improve detectability of transport proteins. The division works closely with all InTEC institutions (Rutgers University, Tulane University and the University of Pennsylvania) and with other divisions within the UNC Eshelman School of Pharmacy. Required Qualifications, Competencies, And Experience Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor's degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure. Preferred Qualifications, Competencies, And Experience - Ph.D. in Pharmacology and Toxicology, or related field. - Previous experience in LC-MS/MS targeted proteomics and tissue and cell sample preparation.

Syngenta Seeds is one of the world's largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States. Job Description At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, Syngenta's Bioinformatics Team is seeking an AI Scientist, located in Durham, North Carolina. This role will support senior scientists to train, modify, and apply deep learning models and will join cross-functional research teams to deliver the next generation of predictive and prescriptive technologies to support the product pipeline. The AI Scientist will become an active member of the Bioinformatics Group and drive innovation in a rapidly evolving scientific discipline. Accountabilities: Synthesize results and clearly communicate progress and challenges to project team members. Data preparation for internal ML/DL projects, including data QC, basic statistical analysis, preprocessing, etc. Identification of public data sources for DL based on identified use cases. Exploration and internal implementation of new model architectures available in the public domain. Modification of existing DL model architectures to support new use cases. Development of workflows that utilize DL models to support cross-functional project teams. Evaluation of model performance with new data. Presentation of results to relevant parties. Qualifications PLEASE NOTE -- Candidates must be already located in the United States and not require visa sponsorship now or in the future (Includes OPT). Required: PhD or MS (4+ years) with experience in computer science, biostatistics, bioinformatics or related area. Proficiency in the use of UNIX/Linux and its command-line environment. Experience coding in Python. Experience with PyTorch, TensorFlow/Keras, or JAX. Experience with deep learning model creation, fine-tuning, hyperparameter optimization, and model deployment. Knowledge/experiences in using LLMs (transformers, Mamba, etc.). Proficiency in grid computing (e.g. Univa, Slurm, etc.). Familiarity working with version control systems (e.g. Git, CVS, SVN, etc.). Experience with Jupyter notebooks and conda environments. Desired: Experience with MLOps tools (e.g. MLflow). Experience with cloud computing with AWS. Biology knowledge. Experience building/fine-tuning LLMs (transformers, Mamba, Hyena, etc.). Experience in programming with GitHub Copilot, AWS Q, or similar AI agents to enable rapid development. Additional Information What We Offer: A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs. Full Benefit Package (Medical, Dental & Vision) that starts your first day. 401k plan with company match, Profit Sharing & Retirement Savings Contribution. Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: ******************************************* Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. WL: 4B #LI-Hybrid

Real Staffing Group is a global staffing and recruitment specialist providing contract and permanent talent to a wide range of companies and industries. We take time to understand your career ambitions, working with you and for you at every stage of your job search. By applying our industry knowledge to your specific requirements we aim to supply you with the most effective route to your new career opportunity. To find out more about Real Staffing Group please visit http://www.RealStaffingGroup.com Job Description: • The incumbent will join the Manufacturing Science and Technology (MSAT) organization supporting biological therapeutics and vaccines. • Within MSAT, the candidate will work in the Purification Group, which develops processes for isolation and purification of recombinant proteins, polysaccharides, bioconjugates, and other biologics The incumbent responsibilities will include the following: • Execution of lab or pilot-scale purifications using column chromatography, Tangential Flow Filtration (TFF), and/or Normal Flow Filtration (NFF), as needed. • Preparation of equipment, solutions, consumable materials, etc. as needed to support experiment execution • Preparation of technical reports and presentations to communicate results to scientists and management, as required. Qualifications Requirement: • Bachelor's degree or graduate degree in Chemistry, Chemical Engineering or related biotechnology field. Industrial experience is preferred. • Experience with operating and monitoring of Tangential Flow Filtration (TFF), Normal Flow Filtration (NFF), and chromatography systems is desired • Experience with conjugation chemistry is highly desired. Additional Information All your information will be kept confidential according to EEO guidelines. IF THIS IS THE JOB OPPORTUNITY FOR YOU GIVE ME A CALL AT 646-357-1104 ASAP! I look forward to hearing from you!

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:** $177,000/year to $251,000/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.