Principal research scientist jobs in Alexandria, VA - 965 jobs

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies. Responsibilities: • Serve as PI or co-PI on government-funded R&D programs. • Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization. • Publish, present, and contribute thought leadership to the AI community. • Mentor research staff and guide proposal development. Requirements: • PhD with 7+ years of research experience. • Demonstrated leadership in ML, vision, or scientific computing. • Record of funding, publications, and technical impact. • U.S. Citizen or Permanent Resident. Preferred: • Experience with multimodal learning, uncertainty quantification, or causal inference. Why Novateur? Join a team that values creativity and initiative. At Novateur, you'll lead transformative projects that redefine what's possible in intelligent systems. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The LLM Customization team is on the cutting edge of GenAI and at the center of bringing our vision for AI at Capital One to life. The work of the AI Training Team touches every aspect of the model development life cycle and our deployed models in production drive business impact with visibility from our C‑Suite. Our team creates unprecedented amounts of high quality data for training and testing GenAI models; we care about how it's created, what's in those datasets, and the impact they have We are invested in building capabilities for evaluating and monitoring generative models; these methods must be state of the art, easy to use, and trusted by our users and contributors Horizontal capabilities enable vertical use case work; the team builds search, summarization, RAG, and agentic workflows for integration in production applications across the company We learn from our colleagues, attend conferences, publish papers, and maintain strong connections to the research community. In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state‑of‑the‑art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands‑on experience working with LLMs and solutions using open‑source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non‑technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as training optimization, self‑supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science New York, NY: $173,000 - $197,400 for Principal Associate, Data Science San Jose, CA: $173,000 - $197,400 for Principal Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations concerning criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑************ or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to **********************. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

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

Mid-Atlantic Permanente Medical Group (MAPMG) invites applications for the position of Research Scientist II (Infectious Disease Epidemiology/Health Services Research), which is an equivalent to an academic associate professor, to join the Mid-Atlantic Permanente Research Institute (MAPRI). This is a full-time position based in our regional office located in Capitol Hill, Washington D.C. with a hybrid work model. Reporting to the Director of Research Science, the Research Scientist II will design and implement major investigator-initiated health services and epidemiology-related research projects in the area of infectious diseases. You will also secure external funding through federal, foundation, or industry grants, and disseminate findings through peer-reviewed publications and conference presentations. The Research Scientist II may contribute to intramural projects relevant to MAPRI and MAPMG, providing assistance as needed for study design, analysis plans, and interpretation of results. Please note, this is not a basic research or bench science position. You can expect to: Develop an innovative research portfolio in infectious disease healthcare delivery and outcomes, working both independently and in collaboration with external partners, leveraging Kaiser Permanente's extensive clinical data Prepare and submit grant proposals and secure extramural research funding, aiming to achieve funding for 75-80% of annual effort within five years. Initiate and maintain collaborations with external partners, including federal agencies, other Kaiser Permanente regions, research networks, and academic or healthcare system partners. Publish one to two first-author papers and one to two collaborative papers annually, and present research findings (poster or oral) at national scientific meetings. Collaborate with MAPRI research teams (data analysts, project managers, and biostatisticians), leading research studies and ensuring they are completed successfully Mentor MAPMG staff, physician researchers, and research interns. Contribute to the scientific community through being a peer reviewer for journals (at least two per year) and participating in expert or grant review panels. What is required: MD/DO with an additional advanced research degree (e.g., MPH, MAS, MS, PhD) OR a PhD or equivalent degree in Epidemiology, Health Services Research, Nursing, or related discipline is required Extensive experience in infectious disease research Minimum of seven (7) years of post-doctoral research experience in epidemiology, health services research, or related field is required; experience in a health system research setting preferred Strong publication record in peer-reviewed journals Demonstrated ability to design and lead simultaneous original research studies and publish results. Successful track record of extramural grant funding as Principal Investigator Must be able to go into the regional office located in Capitol Hill, Washington D.C. at least quarterly, and on an as-needed basis Candidates must either currently live in or be willing to relocate to the Washington D.C., Maryland, or Virginia area Must provide documentation of the Covid vaccine 2-dose series (or J&J 1-dose) prior to October 1, 2023, or documentation for 1-dose of the most current Covid vaccine (Pfizer or Moderna) as a condition of employment. Must provide documentation for the influenza vaccine as a condition of employment. Competitive Benefits: Competitive compensation package 100% employer-funded medical and dental insurance premiums for employees and families Generous paid time off, including vacation, holidays, and sick leave, plus maternity and parental leave Pension plan, and 401(k) retirement plan with employer contributions Life insurance, short-term disability, and long-term disability coverage Education reimbursement The starting annual salary for this position ranges from $152,776.24 to $190,970.12 depending on circumstances including an applicant's skills and qualifications, certain degrees and certifications, prior job experience, training, market data, and other relevant factors. In addition to the salary range above, MAPMG offers rich benefits that add substantial value to the total compensation package. MAPMG continuously works to identify and mitigate healthcare inequities, and that starts with providing an inclusive, supportive environment for our physicians and staff. We encourage applicants of any race, color, religion, sex, sexual orientation, gender identity, or national origin who value diversity and will commit to practicing culturally competent healthcare. External hires must pass a background check and drug screening.

Responsibilities The Senior AI Planning Research Scientist will solve hard, real-world planning problems requiring nothing less than state-of-the-art solutions. You'll take responsibility for accomplishing specific deliverables within a small team setting of fellow engineers. You'll communicate and collaborate with fellow team members and help guide junior staff. Peraton Labs generates transformative applied research to fuel solutions for our customer's unique challenges. We are a self-sustaining research center within Peraton that provides applied research and engineering to enable government agencies, utilities, and commercial enterprises to fully exploit the future of communications, analytics, and cyber security. Who we're looking for: Cyber: We are looking for staff with a strong interest (and ideally a track record) in cybersecurity research and development. Generalists: You should have a breadth of knowledge across multiple domains. You'll typically focus your work on the domain(s) of your specialty or preference, but a strong multi-domain awareness and ability is required. You should have a curiosity to learn new technology. Tangible: You'll work on applied research programs to conceive and develop prototypes to solve cutting-edge, complex problems. Qualifications Education Requirements: Requires 5 years with BS/BA, 3 years with MS/MA, or 0 years with PhD Additional relevant experience will be considered in lieu of formal education Skills and Experience You Should Possess: Experience developing and deploying sophisticated AI planning solutions Expertise in common AI planning approaches such as behavior trees, GOAP, HTN, etc. Expertise in one or more system languages: C, C++, Go, etc. Expertise in Python Expertise in designing, developing, and testing software modules related to emerging embedded cyber capabilities, high-availability network protocols, cyber mission planning, and reasoning systems. Modern development practices and toolsets (Git, subversion, CI/CD toolchains) Experience running docker containers Experience developing in Linux A passion to learn something new every day and to stay up-to-date with developments in your field Adept at independent problem-solving and comfortable with a general approach of taking initiative to find and develop solutions US Citizenship Required Additional Desired Skills: Ability to grasp the “big picture” and see beyond specific problems Network emulation frameworks including CORE, EMANE, MiniNet Experience with Networking Protocols Familiarity with one or more assembly languages (x86/64, ARM, MIPS, etc.) Experience with configuring Network appliances Experience with threat intelligence research Minimum Clearance Required: Active Top Secret, able to obtain TS/SCI Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University's overall mission. At Howard University, we prioritize well-being and professional growth. Here is what we offer: Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support Work-Life Balance: PTO, paid holidays, flexible work arrangements Financial Wellness: Competitive salary, 403(b) with company match Professional Development: Ongoing training, tuition reimbursement, and career advancement paths Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture Join Howard University and thrive with us! *************************************** JOB PURPOSE: Howard University seeks a highly skilled and motivated Biomedical Research Scientist specializing in neuroscience and genomic regulation to join its growing biomedical research enterprise. The incumbent will design and implement independent and collaborative projects focused on neuroscience and molecular/cellular signaling, contributing to Howard University's mission of advancing health equity through cutting-edge biomedical research. SUPERVISORY AUTHORITY: Under the supervision of the Principal Investigator, formally plans, executes the designated project (s) in the laboratory. Typically, responsible for performing non-supervisory duties, but usually participates in the training and supervision of the laboratory work of students. NATURE AND SCOPE: Internal contacts include investigators, administrators, faculty, staff and students both within the department/center and University-wide. External contacts include government agencies, scientific collaborators, vendors, visitors, and the general public. PRINCIPAL ACCOUNTABILITIES: Design and execute experimental studies in molecular and cellular neuroscience, focusing on neuroprotection, neuroinflammation and genomics. Perform advanced rodent stereotaxic surgeries, tissue collection, immunohistochemistry (IHC), confocal microscopy, and image analysis. Conduct molecular and biochemical assays (DNA, RNA, and protein-based techniques) to characterize neuronal and metabolic functions. Utilize and maintain advanced imaging and spatial profiling systems (e.g., confocal, expansion microscopy, nCounter, or GeoMx digital spatial profiling). Analyze, interpret, and present data at internal seminars, conferences, and scientific meetings. Prepare manuscripts, progress reports, and grant proposals in collaboration with principal investigators. Mentor students, fellows, and research trainees in laboratory methods and research ethics. Ensure full compliance with Howard University, NIH, and federal policies on biosafety, animal care, and research integrity Perform other related duties as assigned. CORE COMPETENCIES: Familiarity with digital spatial profiling, multiplex imaging, or bioinformatics analysis. Experience contributing to NIH-funded research projects. Prior supervisory or mentoring experience in academic or laboratory settings Advanced technical expertise in neuroscience and metabolism research. Strong analytical and problem-solving abilities. Attention to detail and accuracy in data management. Commitment to promoting diversity, equity, inclusion, and ethical research practices. MINIMUM REQUIREMENTS: Doctoral degree (Ph.D., M.D., D.V.M., or equivalent) in Neuroscience, Biochemistry, Physiology, Molecular Biology, or a related biomedical field. At least 5 years of postdoctoral or equivalent research experience in neuroscience, molecular biology, or related biomedical research areas. Demonstrated proficiency with rodent models, stereotaxic surgery, microscopy, and molecular biology techniques. Evidence of a strong publication record in high-impact journals. Excellent written and oral communication skills. Demonstrated ability to work independently and collaboratively in a multidisciplinary research environment. Compliance Salary Range Disclosure $80,000-$90,000

About Science and Technology Corporation (STC): Founded in 1979, Science and Technology Corporation (STC) provides award-winning scientific, engineering, and technical services to U.S. Government and industry partners. We are dedicated to advancing our customers' missions through innovation, trusted partnerships, and science-driven engineering excellence. With integrity and precision, we deliver reliable solutions that make a real impact. At STC, we invest in our employees' growth, well-being, and success-fostering a culture of respect, trust, and empowerment. Join our world-class team and help shape the future of science and technology. Employment Category: Full-Time Location: Greenbelt, MD - On-site with global collaborations Travel: Frequent (domestic & international field missions, scientific meetings) Security Clearance: None Citizenship: Requires U.S. Citizenship Salary: $130K - $175K Job Description: The Support Scientist IV will serve as a senior researcher under the ATMOS contract at NASA GSFC, leading major research efforts in atmospheric science. This includes computational modeling, instrument development, and analysis of large satellite datasets. The role requires collaboration with scientists across institutions and management of junior researchers. ATMOS is a NASA support services contract that provides advanced scientific, engineering, and technical expertise to enable Earth and space science missions. The program supports research, data analysis, technology development, and mission operations across multiple NASA centers. Through ATMOS, our teams deliver innovative solutions that help advance NASA's mission and expand scientific discovery. Key Responsibilities Include: Plan and direct scientific research tasks in atmospheric science. Lead development of computational models and instrumentation concepts. Publish extensively and represent NASA at international conferences. Mentor and oversee other scientists within project teams. Benefits: Paid Time Off Starting at 80 hrs/yr, 11 Federal holidays, and 40 hrs/yr Sick Leave 401K with up to 4% employer matching contribution Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Flexible spending account Health savings account Tuition reimbursement Requirements 10+ years of scientific research experience. 5+ years of leadership in scientific project management. Strong background in atmospheric science with proven publication record. Advanced programming expertise (FORTRAN, C/C++, Python). Education: Ph.D. in atmospheric science, physical science, mathematics, or computer science, or M.S. degree in one of the listed disciplines, plus ten years of experience relevant to the position. This experience is in addition to the experience required for the position level.

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

Intelligent Automation, Inc. (IAI) is seeking a highly motivated Transportation Research Scientist/ Engineer at all levels in multiscale traffic simulations (macro/meso/micro), traffic management and signal control, and Intelligent Transportation System (ITS) research and development. Areas of focus include large traffic network management, traffic flow theory, traffic signal operation/control, DSRC/cellular based V2I, V2V applications, and Connected/Automated Vehicles. Experience with multi-modal transportation system management/modeling, machine learning, and artificial intelligence is a plus. JOB DUTIES • Conduct innovative research and development in traffic control/operation, ITS, and transportation network • Conduct traffic simulations to support applications of AI/machine learning algorithms for improved traffic management and operations • Test and improve transportation system hardware and software • Write research proposals and technical reports REQUIRED SKILLS • Proficient in traffic control algorithm development • Proficient in traffic simulation and signal timing software such as VISSIM, CORSIM, Aimsun, and Synchro. Out of the options listed, VISSIM proficiency is particularly desired. • Proficient in hardware/software in the loop simulation, traffic signal control, and interface standards (NEMA, 2070, NTCIP, etc.), high-resolution signal controller data analysis • 3+ years of experience in traffic simulations, traffic data analysis, traffic incident management, traffic signal control, and DSRC/cellular based CAV applications • Good writing/communication skills DESIRED SKILLS • Wide-area traffic network modeling/management • Basic knowledge of Machine Learning and Artificial Intelligence (e.g. expert system, neural network, etc.) • High-resolution signal controller data analysis, signal performance measure, traffic safety study, traffic flow prediction/demand forecast • JAVA, C, VB, Database and Linux programming skills • DSRC protocols, CAV • Proposal writing experience EDUCATION Ph.D. or Master's Degree in Civil Engineering (CE), Transportation Engineering (TE), Electrical Engineering (EE)/Computer Science (CS), or related field. ABOUT IAI Intelligent Automation, Inc. (IAI) is a technology innovation company headquartered in Rockville, MD, conducts state of the art research and product development in the areas of Robotics, Signal Processing and Control, Sensor Technology, Distributed Intelligent Systems and other areas (visit *************** We specialize in providing advanced technology solutions and R&D services to federal agencies, and corporations throughout the United States and internationally. IAI's core R&D areas include Air Traffic Management, Big Data and Social Media Analytics, Control and Signal Processing, Transportation Research/Development and Services, Cyber Security, Education, and Training Technologies, Health Technologies, Modeling and Simulation, Networks and Communications, Robotics and Sensor Systems. For more information on IAI, please visit ************** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. IAI is an EEO/AA employer.

Full-time Description Formulation Scientist/Senior Scientist Under general direction, manages, plans, and executes projects for product development. Under limited direction and supervision, carries out design and development of solid oral dosage forms using quality by design (QbD concept) through ANDA filing and/or product launch. Under limited direction and supervision, carries out design and development of complex oral dosage forms using QbD concepts through ANDA filing and/or product launch. Develops and executes formulation strategies related to product development (i.e., project planning and timelines, experimental design, data evaluation, formulation of relevant and scientifically based conclusions Coordinates studies with other technical groups (i.e., Analytical Sciences, Biopharmaceutics, Legal, Regulatory & Tech Services). Maintains a high level of expertise within the field and develops new technologies and concepts to be applied in the development of oral controlled release drug products. Participates as a project leader, manager and/or ad hoc member in Product Development efforts, and identifies, analyzes and suggests corrective actions to optimize R&D processes, technology and regulatory compliance issues. Principal Accountabilities JOB DUTIES & RESPONSIBILITIES Developing pharmaceutical products, leading to successful ANDA filings and approval in a timely manner. Managing and scheduling multiple projects, setting objectives, prioritizing activities to meet the milestones in a fast-paced environment. Designing, formulation and process development for various drug from project initiation to commercialization by following appropriate GMP regulations and safety requirements. Participate in the set-up and operation of pilot scale equipment and instrumentation for the completion of small production runs in collaboration with the R&D technician. Design and conduct pre-formulation and formulation studies, process development and optimization of prescription dosage form designs and ANDA oral Dosage forms using DOE Perform Literature search and Evaluate patents to develop non-infringing strategies Preparation of product manufacturing, batch records and protocols for different product development stages, including from R&D prototype formulations to process validations following SOPs and procedures, ensuring the detailed record and data keeping. Utilize formulation techniques, processing equipment and unit operations including Wurster Coating, Tablet Coating, Compression, Blending, Encapsulation, HPLC, Spectrophotometry, Dissolution, Viscometer to develop Bio-Equivalent products Review Analytical Data, draft SOP's, Process Evaluation protocols, IQ, OQ, PQ protocols and GMP Manufacturing Batch records, Packaging Batch Records. Characterization of APIs, excipients and in process products; analysis of in-process samples or in-process products based on protocols and QbD concept, preparing various formulation samples to support cross-functional programs as needs. Completes documentation associated with manufacturing processes (e.g. batch record, protocols, and logbooks) with detail and accuracy. Establishing documentation management systems for CMC development and meeting FDA GMP, regulatory requirement, and FDA onsite inspections. Comprehensive knowledge of IVIVC, QbD and Design of Experiments (DOE). Ensuring all regulatory documents in compliance with SOPs, FDA Regulations, and cGMP policy where applicable. Knowledge of manufacturing regulatory programs and objectives (cGMP, CFR 210 and 211). Maintaining compliance with GMP, SOPs and DEA regulations. Coordinate with Regulatory Affairs, Operations, QC/QA and Supply Departments to ensure that projects are planned and executed in a timely manner. Management Responsibility The Senior Scientist leads the assigned projects and guides the operation of the product development ranging from selection of staff, choice of methods, purchase of equipment, quality assurance, quality control, safety, hours of operation, scheduling of staff, and utilization management. Reports to Sr. Vice President, R&D Requirements Minimum Requirements Knowledge & Skills Good communication skills, critical thinking, flexibility, time management, self-motivation. Minimum Experience & Education Ph.D. in pharmaceutical sciences with minimum of 2 years' experience OR; Masters in pharmaceutical sciences with minimum of 5 year' experience in generic product development, with emphasis in solid/liquid orals or an equivalent combination of education and experience. Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

The MPC is a full scale, busy, and in demand mouse phenotyping core that provides technical and scientific expertise for the phenotypic characterization of mouse models. The organization collaborates on projects with investigators across NIH on a diversity of mouse models utilizing state of the art equipment and comprehensive testing methodologies to assess multiple physiological and behavioral systems. The core is equipped to handle all aspects of comprehensive, complex and diverse phenotyping projects in the areas of cardiovascular, metabolic, pulmonary, neuromuscular, behavioral phenotyping and exercise physiology testing while providing scientific consultation and collaboration with NIH research labs. The position offers diverse and exciting opportunities for interdisciplinary collaboration, development of comprehensive expertise in mouse phenotyping and comparative medicine, the ability to shape and steer ongoing growth of the core. Position Objective: The core seeks an experienced candidate with a strong mouse research background to assist in both the technical and scientific aspects involved in the core's daily work and collaborations. In addition to performing mouse phenotyping study work in the core (50% of time), the candidate would have the scientific background required to work alongside core staff in areas including: scientific collaboration and communications with investigators, experimental design, data analysis and interpretation, and new method development. The candidate for the position is expected to be able to perform a variety of specialized in vivo mouse phenotyping techniques and have a strong background in comparative medicine and/or physiology. The candidate is expected to develop expertise in in-vivo murine testing including: neuromuscular and behavioral phenotyping on diverse models, exercise testing, muscle/nerve stimulation, cardiovascular system testing, pulmonary system testing, metabolic phenotyping, and microsurgery. The successful applicant will be expected to already be experienced conducting in vivo mouse research in multiple listed areas and would be expected to become proficient in all areas over time. The individual would have the experiential and educational background required to read relevant scientific literature, and possess general understanding of physiology to develop the necessary knowledge in all areas serviced by the core (neuromuscular, behavioral, cardiovascular, pulmonary, exercise, and metabolic phenotyping of mouse models) in order to oversee scientific strategic testing planning, experimental design, data analysis and interpretation, and follow up testing suggestions for diverse mouse models with our NIH collaborators, as well as to independently develop new testing methods, validate or refine new or existing methods, and serve as a core liaison to provide educational outreach to scientists and students at NIH. Duties and Responsibilities: Perform a variety of in vivo mouse phenotyping testing and methods. Understand applications of the core's diverse phenotyping method repertoire and possess the ability to strategically apply testing strategies to target model specific questions. Prepare summaries of experiments, contribute to the evaluation and discussion of results. Study, adapt, and/or develop new techniques needed to answer new research questions. Maintain detailed records of laboratory experiments, perform statistical analysis of data, prepare tables, charts, graphs, summaries, and other materials for inclusion in publications. Provide training and guidance to students, fellow and other staff members in the DIR in the use of equipment/laboratory methods, procedures, and techniques. Contribute as an author and co-author in the writing and preparation of scientific papers for publication in recognized journals. Attend training sessions for new methodologies and techniques as needed and participate in conferences to stay abreast of latest scientific developments. Develop new methods and techniques independently where training does not exist by reviewing literature and applying own scientific knowledge, aptitude and insights to find new approaches to answering questions. Qualifications Basic Qualifications: Exceptional candidates with a master's degree in an appropriate area of specialization and at least 5 years of mouse research experience with relevant hands-on skill and proficiency conducting in vivo mouse testing will be considered. Must have prior experience conducting technically complex experimental protocols. Candidate must be able to lift 40lbs weight, move quickly and quietly in small, confined spaces, get up and down from ground easily, stand for extended periods of time. Minimum Qualifications: PhD degree in an appropriate area of specialization with experience working with mouse models. DVM or VMD with animal model research experience and/or transitioning into the research field. Excellent written and oral communication skills. Positive person with strong customer service mindset. Proficient hands-on technical abilities and mouse handling skills required. Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects. *This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at ********************. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned. 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 law.

General Information Job Code: SHR-BI-05T Employee Type: Exempt, Full-Time Regular Telework: Ad hoc as determined by client Salary Range: $129,985.76 - $149,483.62 per year (how we pay and promote) Citizenship: U.S. Citizen as required by client Position Overview Are you passionate about managing information to drive innovation and impact? As a Applied AI Health Scientist supporting our client, you will play a pivotal role in shaping our success. This is a Science and Engineering and Technical Advisor (SETA) role in the Proactive Health Mission Office at the Advanced Research Projects Agency for Health (ARPA-H) responsible for providing expertise in artificial intelligence and machine learning to support a program advancing AI diagnostics for rare diseases. Successful candidates have the ability to critically assess technical approaches, advise program leadership, and ensure that funded performers and partners are meeting the highest standards of rigor, reproducibility, and real-world applicability. You will contribute expertise across the full lifecycle of AI system development: data aggregation and curation, model training and benchmarking, and deployment/validation in real-world clinical settings. Primary Responsibilities While not an exhaustive list, the key duties for the position include: Review and evaluate AI/ML technical proposals and deliverables from external teams. Provide guidance on model development, training methods, and validation strategies. Advise on integration of multimodal health data (EHR, imaging, genomic, and patient-reported). Assess alignment of model architectures and approaches with program goals and clinical use cases. Evaluate benchmarking results and provide feedback on methodological soundness. Advise on deployment considerations, including interpretability, reliability, and safety in real-world settings. Collaborate with clinical SMEs to ensure AI outputs align with clinician expectations and workflows. Identify risks, gaps, or weaknesses in technical approaches and recommend corrective actions. Support program leadership with technical assessments, reports, and recommendations. Produce high-quality written reports and presentations that synthesize complex technical findings for diverse audiences. Requirements Minimum Education and Experience: Master's degree in Computer Science, Machine Learning, Data Science, or related field. 10+ years of relevant professional experience. Basic Requirements: Experience applying advanced ML methods (LLMs, deep learning, etc) to complex health datasets. Familiarity with clinical and biomedical data types, including EHR, genomic, and imaging data. Demonstrated ability to review, critique, and guide AI/ML technical work at a high level. Strong understanding of evaluation methods for AI/ML, including robustness, fairness, interpretability, and reproducibility. Strong written and visual communication skills, with ability to produce high-quality reports and presentations. Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. Skills That Set You Apart: Experience in healthcare AI or biomedical applications. Familiarity with the rare disease field Prior involvement in technical advisory, evaluation, or SETA-style roles. Experience working with interdisciplinary teams including clinicians and patient stakeholders. Experience working in an early-stage, fast-paced, startup environment About Ripple Effect Ripple Effect is an award-winning women-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” since 2020, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. Benefits At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences. Learn more about our benefits and culture here.

Granules Pharmaceuticals, Inc., is seeking a detail-oriented and scientifically driven Sr. Scientist to join our team in the area of Analytical Method Development and Validation. The ideal candidate will possess strong expertise in developing and validating analytical methods for assay, related compounds, residual solvents, dissolution, and particle size analysis. Proficiency in Mass Spectroscopy and peptide testing is essential, with experience in bioassay methodologies considered a plus. This role requires a solid understanding of scientific principles to troubleshoot and solve analytical challenges, as well as experience in drafting and reviewing method validation protocols and reports in compliance with SOPs and regulatory guidelines. Strong communication skills and the ability to interpret technical procedures, FDA guidance documents, and scientific literature are essential for success in this role. JOB DUTIES & RESPONSIBILITIES include but not limited to: With minimal supervision, perform the analytical method development and method validation for dissolution, assay, and related compounds of raw material and finished products. Develops and validates methods to determine purity, potency, identity, residuals, and characterization of peptide products. Ability to individually work on development and validation for Reversed-Phase, Ion Exchange, and Size Exclusion chromatography using UPLC/HPLC/MS. Draft the analytical method validation protocols and reports Performs testing pharmaceutical raw materials, bulk and finished products, scale-up samples, process validation samples, cleaning verification/validation samples, and stability samples to support formulation development. Responsible for the timely and accurate execution of lab analysis. Independently compile the analytical data, make sound judgment of the data and interpret the data, and notify the results to manager/Director. Maintaining full compliance with all applicable US FDA - cGMP regulations and internal SOPs. Maintain laboratory notebooks and records of all the raw data as per Good Documentation Practices. Assists with training other junior members of the analytical development team as needed Maintain individual training records. Follow safety procedures and practices. Maintain a clean, orderly work environment. Works with computer-controlled equipment and processes. Performs other work-related duties as assigned Perform in-vitro dissolution testing for in-process, finished product and stability samples. Execute method transfer activities for raw materials and finished dosage forms. Ensures compliance with SOPs, policies and procedures required by the Company and regulatory agencies. Document experiments accurately and complete all associated documents (Instrument, Standard and Column usage logbooks) in compliance with internal SOPs and FDA guidelines. Evaluate test results against standards and timely reporting of any deviations, OOS, OOT and atypical results to the supervisor/department head. Other duties assigned by management based on requirements. Management Responsibility Assign daily work schedule in timely manner Provide Suggestions in method Development and validation. Interpret and review generated results Provide assistance in professional development. Reports to: Manager Analytical R&D Requirements Knowledge & Skills: Hands-on experience in Dissolution, HPLC, LC-MSGC, UV, FTIR, and other laboratory instruments. Experience with a wide variety of software and information systems (e.g. Empower, Microsoft word and Excel). Strong knowledge in analytical method development and validation under cGMP environment and experience in problem-solving skills and instrument troubleshooting. Good oral and written communication skills and the ability to write and review technical report Proven Knowledge of the major analytical techniques and operation of instruments such as HPLC, GC, dissolution, FT-IR, UV-VIS Spectrophotometer, Particle size analysis (Malvern Mastersizer, Sonic sifting and Sieve shaker), Karl Fisher Instrument, Potentiometric Titration, Density meter, pH meter, Melting point apparatus, Analytical Balances, Viscometer Proficient in documentation as per Good Documentation Practice Computer skills including Microsoft and Excel Excellent verbal and written communication and skills Experience & Education: Bachelor's degree in Analytical Chemistry or Chemistry or related field with 4+ years or MS/PhD with 2+ years of GMP and GLP-related pharmaceutical industry experience in Peptide and small molecule solid oral formulation analytical development. Knowledge of Good Manufacturing Practices (cGMP) Experience with software and information systems (e.g. Empower, Microsoft word and Excel) Physical Requirements/Working Environment Must be able to stand for long periods of time (up to 12-hour shifts), maneuver at least 40 pounds, wear a respirator and pass associated respirator tests and/or requirements, and be able to wear all required PPE. Vision - ability to see details at close range (within a few feet of the observer). Physical Requirements/Working Environment: Must be able to stand for long periods of time (up to 12-hour shifts), maneuver at least 40 pounds, wear a respirator and pass associated respirator tests and/or requirements, and be able to wear all required PPE. Vision - ability to see details at close range (within a few feet of the observer). Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Come join our family! Microbac Laboratories is an essential business offering competitive pay and benefits including medical, dental, vision, life insurance, disability, generous paid time off including vacation, holidays and flex-time, a wellness program, referral bonus, tuition reimbursement and more! Whether you are just starting your career in science or looking to further it, Microbac will put you on the path of an exciting career with room to grow. Quality, safety, giving back to our communities, diversity and inclusion, customer success and employee wellbeing are part of our core culture. We are looking for motivated individuals to join our family as an Associate Scientist I . ABOUT MICROBAC Microbac Laboratories, Inc. is a premier commercial laboratory testing firm that partners with clients worldwide, offering laboratory solutions to the life science, food and nutrition, and environmental industries and serves our clients with the utmost expertise and respect for their market requirements, constraints, and challenges. We embody a company-wide commitment to exceptional customer experience, which has been refined over nearly 50 years of trusted, analytical and measurement experience. Through our network of laboratories, offices, and field services, we have the flexibility to meet the unique requirements for each client, project, and scope. As a privately held third-party testing company, Microbac operates with a commitment to safety, quality, and compliance. Our diverse work portfolio includes broad accreditation offerings and tested insights across the environmental, food and nutrition and life science markets. JOB SUMMARY The Associate Scientist I, working in an accredited commercial laboratory, is responsible for assisting with the conduct of microbiological assays and associated activities to determine antimicrobial efficacy of household and commercial cleaning products. ESSENTIAL FUNCTIONS: Following established SOP's and adhering to state, federal and other accrediting body requirements, collect information about the antimicrobial properties of substances/samples to support the analytical testing needs of our clients for such purposes as quantitative or qualitative analysis, and product development Perform laboratory housekeeping duties to include autoclaving and glassware processing Prepare necessary standards, solutions, reagents, media, etc., required for sample analyses Perform equipment and instrumentation set up Operate basic and specialized laboratory instrumentation Prepare and analyze samples Accurately record observations and data and interpret results Assists in the development and validation of new analytical methods Assists in the development of new laboratory procedures Assist department supervisors and managers with staff training Sign off on final certificates of analysis Contribute to writing, editing, and reviewing SOP's Monitor and address sample backlog issues Perform peer review of data to ensure accuracy Maintain accurate, up to date logs, notebooks, and equipment records Perform necessary laboratory administrative functions such as filing paperwork, photocopying, reviewing of data, and entering data into computerized LIMS Comply with and promote Personnel, Safety, and Quality Program MINIMUM REQUIREMENTS: Bachelor's degree from a four-year accredited institution in a related field of applied science Prior analytical testing experience Above average knowledge of principles, terminology, practices, techniques, and instrumentation commonly used in a laboratory setting Ability to interpret data and prepare reports Ability to effectively prioritize work and manage time to meet deadlines and rush orders Computer literacy Ability to work with delicate laboratory equipment Ability to communicate effectively in both written and verbal formats WORKING CONDITIONS AND PHYSICAL REQUIREMENTS: The physical demands and working conditions 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. Physical Requirements: While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel objects, tools; talk or hear. The employee is required to stand, walk, and sit. The employee must regularly lift and/or move up to 25 pounds. Specific vision abilities required by this job include color vision and depth perception. Working Conditions: While performing the duties of this job, the employee will be in a general laboratory and office environment. The noise level in the work environment is usually moderate. This job may require travel less than 20% As a privately held third-party testing company, Microbac operates with a commitment to safety, quality and compliance. Our diverse work portfolio includes broad accreditation offerings and tested insights across the environmental, food and life science markets. OTHER: This is not an exhaustive list of all duties an employee may be required to perform. Microbac reserves the right to revise the job description at any time. Employment is at-will. Microbac, promotes a drug-free, alcohol-free workplace. Applicants considered for hire must pass a drug test before beginning work. Refusal to submit to testing will result in disqualification of further employment consideration. Microbac is an Equal Opportunity Employer - We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. All qualified applicants will receive consideration for employment.

Develop and implement protocols to receive and process multiple clinical trial and laboratory specimens weekly from NCI clinical and animal protocols. Develop customized programs for cataloging, storing, and tracking use and disposal of valuable human clinical and laboratory specimens in multiple ultralow and liquid nitrogen freezers utilizing Freezerworks. Provide annual reports of all human specimens as required. Develop and perform protocols for processing of bloods and tissue collected from clinical trials into single cell suspensions. Develop and troubleshoot protocols to extract T-cells and other tumor cell populations from patient samples for single cell transcriptome sequencing, flow cytometric analysis, and functional studies such as Elispot and cytotoxicity assays. Develop, troubleshoot and standardize protocols to culture and expand extracted T-cells. Develop and perform new molecular assays on human clinical trial specimens using new platforms, such as single cell sequencing. Develop, troubleshoot and perform multispectral immunofluorescence microscopy assays on human and murine specimens. Develop and perform multicolor flow cytometric assays on human clinical trial specimens. Design experiments and perform animal (murine) studies involving animal handling, tumor cell transplantation, immune cell depletion or administration, tumor measurements, and standardize treatment techniques such as intraperitoneal injections, IV tail vein injections and oral gavage. Develop, troubleshoot and perform sterile cell culture techniques such as maintaining and expanding immortalized cell lines. With minimal guidance, independently design and perform laboratory-based immunology and preclinical animal studies. Maintain records of all experiments in laboratory notebook, including planning, execution, outcome and evaluation of experiments performed. Collect, independently analyze and interpret data; perform appropriate statistical analyses and prepare data Prepare Quote Response for authorship of manuscripts. Establish and maintain stocks of valuable cancer cell lines in liquid nitrogen and keep an updated inventory. Prepare, maintain and catalog recombinant DNA stocks, plasmids and vectors, flow cytometry antibody stocks, and tissue bio-specimens. Attend clinical team meetings to prepare for receipt and management of biospecimens. Attend laboratory meetings and present results of independently performed research to staff. Analyze data and prepare presentations for NIH, regional and national meetings. Operate and troubleshoot laboratory equipment. Notify principal investigator of any general lab issues that are potentially problematic, so that changes can be made Work Location: National Institutes of Health 9000 Rockville Pike, Bethesda, MD 20892

Who We Are Arcellx is a public, clinical-stage biotechnology company reimagining cell therapy by engineering innovative immunotherapies for patients with cancer and other incurable diseases. We believe that cell therapies are one of the forward pillars of medicine and our mission is to destroy cancer and advance humanity by developing cell therapies that are safer, more effective, and more broadly accessible. Our team members are made up of talented innovators and dreamers working from our offices in Rockville, Maryland, and Redwood City, California. At Arcellx, we hire exceptional people and create a fun, diverse, supportive, and informal environment that allows everyone to do their best work. What Matters to Us Living our core values is essential to maintaining a work environment that is high-performing, inclusive, and collaborative. We look for candidates who demonstrate strong values alignment and bring different backgrounds, viewpoints, and abilities to the team. Arcellx Core Values Start with authenticity: We foster an inclusive environment where each person can bring their authentic self to work. Think ‘we' before ‘me': We prioritize collective success, collaborating and supporting one another to achieve our shared goals. Embrace the challenge: We deliver exceptional results by working with shared determination and a commitment to doing what's right. How You'll Make a Difference As a Scientist within our Cell Biology group, you will have a direct impact our drug pipeline as a lab-based contributor and functional area lead within the project setting. Our potentially life-saving treatments would not exist without the work of our talented scientists. Your work as a member of our experienced cross-functional team will drive discovery, characterization, and optimization of novel cell-based therapies. The “Fine Print” - What You'll Do Contribute to one or more pipeline programs, working collaboratively with cross-functional teams to ensure the timely generation and dissemination of critical program data to enable data-driven decisions. Design and execute experiments independently with minimal supervision, as well as effectively plan and organize work activities and prioritize task completion. Serve as a functional area lead within a project setting; helping to derive timelines, plan, and execute to help achieve project goals. Stay up to date with relevant technical and intellectual scientific expertise in tumor biology and cancer modelling, particularly as it relates to CAR-T cell biology or other cell-based therapies. Skills and Experience We Look For Candidates with a master's degree and 4-6+ years research experience within the pharmaceutical industry or a PhD-level scientist from a relevant field and 0-2 years industry experience. Specific backgrounds of interest are: Chimeric Antigen Receptor (CAR) T-cells or alternative cell-based cancer therapeutics Other Immuno-modulatory drug modalities (T-cell engagers or multi-specific proteins) Autoimmune diseases research (Emerging therapies, pathogenic mechanisms, immune tolerance & reset, signaling pathways) Expertise in manipulating immune cells, particularly T cells, including purification, transfection/transduction, activation and expansion, and cryopreservation. Familiarity with markers of memory, exhaustion, and activation for phenotyping of CAR-T cells by flow cytometry. Expertise in immune cell assays including multiparameter flow cytometry, in vitro cell based assays (e.g. cytotoxicity, proliferation, degranulation), live cell analysis (IncuCyte), cytokine measurement (ELISA or Lumit), and multiplex assays. Preferably experience on BD instruments or Cytek Aurora for flow cytometry. Expertise in pseudotyped lentivirus generation by transient transfection. Expertise in basic cell line manipulation, including transient transfection, CRISPR knockout, antigen overexpression, and single cell cloning. Expertise in basic molecular biology techniques, including genomic DNA extraction and qPCR for vector copy number measurement. Familiarity with methods to pre-clinically assess efficacy, specificity, and safety of CAR-T cells or other novel immuno-oncology agents. Familiarity with in vivo models of human cancer, including cell line derived xenografts or patient-derived xenografts. Effective and timely communication of results and relevant scientific literature. Communicate detailed observations on experiments and assist in the preparation of technical reports, summaries, and protocols. Proficient in common software, including GraphPad Prism, Word, PowerPoint, Excel, Outlook, SnapGene, and FlowJo, for data analysis, documentation, and presentation. Commitment to ethical scientific investigations and rigorous experimental methods. Ability and desire to multitask and function in a fast-paced entrepreneurial environment. Interpersonal skills that promote a collaborative and productive lab environment. Effective and efficient written and oral communication skills. Rewards at Arcellx Our people are our greatest asset, and supporting their well-being is an essential part of delivering on our mission and impacting the lives of patients. Putting this belief into practice means offering strong compensation and benefits. The base salary range for this position is $105,000 - $125,000 per year. Where a candidate falls within that range is determined by factors such as years of experience. Our compensation package also includes an annual bonus based on company goals and an equity (RSU) grant. We do offer relocation assistance for roles if required. Our market-leading benefits package includes: 100% coverage for medical, dental and vision for team members and dependents, unlimited vacation, a 3-day weekend every month, fully-paid parental leave for up to 6 months, tuition reimbursement, 401k employer contribution and more. Join us in our quest to reimagine cell therapy and destroy cancer. For more on our technology, culture, and team, go to **************** #LI-Onsite

Data Scientist Systems Integration, Inc. (SII) is a leading provider of customer experience, data analytics and digital transformation solutions . We are seeking a highly skilled Machine Learning Scientist to help the FBI uncover actionable insights from vast and complex data sets. This role focuses on identifying enterprise-level toolsets, applying advanced data mining techniques, and building predictive models that integrate with FBI systems. The ideal candidate will be a strategic thinker with deep technical expertise and the ability to communicate findings clearly across all levels of the organization. Responsibilities: Select, build, and optimize machine learning classifiers using advanced techniques Apply state-of-the-art data mining methods to extract meaningful patterns Enhance data collection procedures to ensure relevance for analytic systems Cleanse, process, and validate data integrity for analysis Conduct ad-hoc analyses and present results in a clear, actionable format Develop and monitor automated anomaly detection systems Design innovative approaches for handling and analyzing large-scale data sets Address fundamental challenges in data handling, search, and retention Solve complex data storage and retrieval issues Develop software solutions to improve data search and access processes Analyze results and deliver recommendations that support mission objectives. Qualifications: Must be US Citizen Requires a Top-Secret clearance (SCI Poly may be required later). Strong understanding of machine learning algorithms (e.g., kNN, Naive Bayes, SVM, Decision Forests) Proficiency with data science toolkits such as R, Weka, NumPy, and MATLAB Excellent communication and presentation skills Experience with tools like Microsoft Power BI, Anaconda, and SPSS Skilled in data visualization using D3.js, GGplot, or similar platforms Proficient in SQL and Hive for querying large datasets Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase) Solid foundation in applied statistics (distributions, testing, regression) Strong scripting and programming capabilities. Minimum 5 years of experience supporting data-driven projects of similar scope. Bachelor's degree required in data science, statistics, computer science or related field.

Fiber Laser Scientist Herndon, VA While working as a Fiber Laser Scientist at Fibertek, you will lead the design and development, integration, and test of advanced fiber laser systems typically with performance requirements beyond the state-of-the-art. Fibertek is a leader in the design, development, and delivery of advanced laser systems and technologies for military and aerospace applications. Your Job We are looking for and experienced and motivated fiber laser scientist or engineer to join a multi-disciplinary team and lead the design and demonstration of advanced laser systems. Example focus missions include space-based laser communications, lidar for tactical defense applications, earth-sensing lidar, and navigational lidars for planetary and docking missions. Fibertek's engineering teams simultaneously tackle laser optical performance beyond state-of-the-art while engineering systems for performance on challenging platforms with limited size, mass, and power and over stressing vibration, thermal, and/or radiation conditions. Delivered systems make a national impact to customers at NASA and throughout the defense community. The work-load will at times include multiple concurrent projects with a mix of short duration research programs and longer duration technology maturation programs resulting in a work culture that is team-oriented, intellectually stimulating, and consistently rewarding. Lead the engineering development of unique laser designs through modeling fiber laser performance, design analysis, component specification, and hardware assembly, integration, and test Coordinate and support the build, alignment, and performance characterization of fiber lasers including multi-stage amplifiers, phase & amplitude modulation implementation, spectral and coherent beam combining Coordinate and perform formal acceptance and qualification testing Participate in customer interactions including formal technical reviews Required Skills and Experience To exceed in this Fiber Laser Scientist role, you'll need the below expertise and experience: MS or PhD in Physics or Optical Engineering w/ a minimum of 5 years of direct hands-on fiber laser experience including designing, building, characterizing laser systems Knowledge of the laser theory and industry best practices associated with fiber laser systems including continuous wave lasers, pulsed, high peak power fiber, advanced fiber architectures, single-frequency injection locked lasers, low frequency noise lasers, electrical and thermal sub-systems. Expertise in laser physics of fiber lasers and amplifiers, including ytterbium, erbium, and/or thulium gain materials. Familiarity with relevant nonlinear processes and impacts to laser performance. Examples include Stimulated Brillouin Scattering, Four-Wave Mixing, Stimulated Raman Scattering, and Transverse Modulational Instability. Foundational understanding of fiber-optic components including types of fibers, pump lasers, couplers, modulators, isolators, mode-field adapters, polarization components, and others. Knowledge of tools for modeling fiber laser performance such as Matlab, RP Power Fiber or equivalent software Ability to design and execute experiments validating laser system performance and correlate the results with the expected performance Strong communication and documentation skills for efficient multidisciplinary communication US citizenship required Please apply today for this full-time Herndon-based Fiber Laser Scientist role and join the leader in the development of state-of-the-art laser and electro-optic solutions. Why Fibertek, Inc? At FIBERTEK, Inc. we pride ourselves in our innovation and customer success focused culture enabled by a creative and relaxed work environment with minimal bureaucracy. Fibertek fosters a progressive learning environment that values inspiration, promotes professional challenge and encourages personal growth. We offer a competitive and incentivized compensation package with excellent benefits. Fibertek, Inc. is an equal opportunity and affirmative action employer. Applicants are considered regardless of race, sex, gender identity, sexual orientation, religion, national origin, disability, protected Veteran status, age or any other protected characteristic in accordance with applicable law. If you need assistance or an accommodation for any part of the application process, please contact us by phone at ************ or via email at ***************.

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website ************************ We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well. Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset. Job Description • BioProcess Engineering (BPE) department is responsible for scale up, tech transfer, and facility fit of clinical and commercial processes to manufacturing. BPE is also responsible for producing development drug substance material and data from pilot facilities. Members of Development Scale-up Center (DSC), within BPE, produce materials up to 500L scale for toxicology and process development studies, to confirm process performance and to troubleshoot issues in GMP facility, and work with cross functional team on technology evaluations. • This position is focused on upstream cell culture and fermentation processes supporting scalability and production of therapeutic proteins in DSC. Position is a hands-on laboratory and production-based role. Responsibilities include but are not limited to media preparations, routine sub-culturing of cells and fermentations. The candidate will assist in adaptation of transferred information for scale-up processes from late stage development to DSC as well as assisting in the production of various tox and development materials, troubleshooting and resolving technical issues with the production processes and/or equipment, identifying root causes for deviations, implementing corrective/preventative actions, assisting in implementing new technologies, and trending/analyzing data. • The candidate will assist in compiling data and expected to summarize and assist in interpreting results. The candidate will also maintain production and laboratory equipment. Qualifications Education: • Bachelor of Science (BS) or Master of Science (MS) in scientific, engineering or related field. Experience: • For the RA, we require a BS with 2 - 5 years or a MS with 0 - 2 years of relevant experience. • For the AS, we require a BS with a minimum of 5 years or MS with a minimum of 2 years of relevant experience. Additional Information Special Skills/ Abilities • Hands on proficiency in cell culture and/or fermentation and good aseptic techniques. Bioreactor/fermenter operation experience is preferred. • Good documentation, writing and communication skills in a team based setting are essential.