Principal research scientist jobs in Asheville, NC - 1,493 jobs

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

Job Title: Research Scientist Reporting: Director of Innovation Ascent Industries Co. is seeking a Research Scientist to join our Research and Development team. This role will serve as the technical focal point for new custom and contract manufacturing projects and drive successful execution from proof of concept through commercial-scale production. This role will collaborate with cross-functional stakeholders in R&D, Sales, Marketing, Engineering, and Manufacturing to drive commercial success with a focus on speed to solution, commercial-scale viability, deep technical rigor, and a proactive safety mindset. The ideal candidate combines strong technical skills in experiment design, synthesis, process chemistry, commercial-scale unit operations, and scale up within the chemicals or materials industry. This role is expected to serve as the subject matter expert for all analytical testing related to the contract manufacturing projects, implementing customer specified tests and introducing new test methods that are critical for ensuring product quality. Duties and Responsibilities: Serve as the technical focal point for new contract manufacturing opportunities. Identify fastest and most efficient route to commercially viable solutions for new contract manufacturing and custom synthesis opportunities based on a deep understanding of process chemistry and plant unit operations. Establish R&D lab capabilities for synthesis, process development, sample preparation, and testing by evaluating current capabilities and additional needs to support project pipeline. Design experiments based on sound scientific principles and statistical methods to validate technical packages for proof of concept, optimize processes, and develop technical package for manufacturing to support First Time in Spec production. Rapidly produce samples for customer evaluation based on a thorough understanding of plant equipment capabilities and technical requirements Demonstrate expertise in a broad array of analytical instruments and drive new method development to align internal test methods and capabilities with customer methods and protocols. Leverage external labs for specialized test capabilities. Collaborate with key stakeholders in Sales, Engineering, Manufacturing, Procurement, and Product stewardship to drive successful commercialization. Engage with customers to gather process details, develop experimental plans, communicate project progress, present key findings, results, and support successful qualifications. Create Standard Operating Procedures and Work Instructions for core lab activities. Assure safe lab operations and compliance with site regulations while ensuring zero recordables. Skills, Qualifications, Experience, Special Physical Requirements: Bachelor's degree (advanced degree preferred) in Chemistry, Chemical Engineering, or Materials Science and Engineering Proven hands-on industrial scale-up and technical transfer experience (5+ years) in fine or specialty chemicals or materials industry with subject matter expertise in one or more product categories: Adhesives, Coatings, Surfactants, Dispersions, Specialty Additives, and Reactive Blends. Know-how of product requirements for one or more market segments: CASE, Oil and Gas Chemicals, Plastics/Engineered Polymers, Water Treatment Chemicals, Lubricants, and Personal Care. Strong lab scale synthesis skills, working knowledge of commercial-scale process equipment, and prior experience scaling a product from the laboratory scale through robust commercial scale production. Solid understanding of interplay between raw materials, formulations, manufacturing process variables, product specifications, and product performance. Prior experience with development of detailed technical packages for scale up. In depth analytical and method development experience with techniques such as GPC, GC, HPLC, FTIR, NMR, Rheology, Particle Size, and wet chemistry. Design of Experiments and Six Sigma Green Belt Experience Preferred. Ability to prioritize tasks, manage multiple projects simultaneously, and meet tight deadlines. Strong communication skills both written and verbal. US Citizenship or Green Card required Success Metrics On time execution of R&D work for new contract manufacturing projects per milestones established in NPD process Improve technology transfer from lab to plant with a focus on developing detailed technical packages for achieving target specifications in the first production run. Develop detailed understanding of customer technical protocols for testing and drive quick internal implementation Serve as a technical interface to provide outstanding customer engagement in all technical aspects and help position R&D as our unique value proposition to contract manufacturing customers

HTI is seeking a Metallurgical R&D Scientist for a brand-new facility in Augusta, GA. This is a great opportunity to work with a state-of-the-art facility and be an important contributor to the growing North American metals supply chain. What They Offer Full Medical, Dental, and Vision Benefits on Day 1 401(k) Match EAP, LTD, STD, and Life Insurance Competitive Vacation Package 12 Paid Holidays Relocation Assistance Available What You Need Bachelor's Degree in Chemical Engineering, Materials Science, Metallurgy, or a related field Minimum of 2 years of experience, ideally in R&D, materials analysis, or process engineering Recent graduates with relevant project or lab experience may be considered Strong understanding of non-ferrous metallurgy and metal extraction principles, especially copper metallurgy. Knowledge of pyrometallurgical, hydrometallurgical, and/or electrometallurgical processes Experience with: Material characterization and analysis Process troubleshooting and optimization Failure analysis and root cause investigation Familiarity with process simulation or thermodynamic modeling tools (FactSage, Thermo-Calc, HSC, etc.) is preferred but not required Experience preparing or interpreting process flow diagrams, phase diagrams, and thermodynamic calculations **Candidates must be eligible to work in the U.S. without sponsorship now AND in the FUTURE** What Your Role Will Look Like As the Metallurgical Research & Development Scientist, you will be integral to the development and enhancement of metallurgical processes, particularly in non-ferrous extractive metallurgy with a focus on copper. Collaborating with various departments, you will lead process improvement initiatives through simulation and modeling, contribute to R&D projects, and support the broader organization in achieving its production and efficiency goals. Key Responsibilities Collaborate closely with cross-functional teams, including Production, Supply Chain, and Maintenance, to develop and optimize metallurgical processes. Design and improve processes through simulation, focusing on enhancing production efficiency and effectiveness. Conduct research and development projects, such as developing new copper alloys and analyzing the impact of using different types of electronic waste. Utilize process simulation software to model and simulate metallurgical processes, implementing improvements to existing operations. Prepare detailed process flow diagrams and perform calculations related to mass balance, heat balance, and phase diagrams. Support other departments by providing expertise on chemical and material compositions and addressing process-related questions. Ensure compliance with environmental, health, and safety standards, contributing to the development of operating instructions and risk assessments. Participate in the ongoing development of R&D labs on-site, with a focus on future process improvements and innovations.

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Product Development Scientist for our First Quality Baby Products facility located in Macon, GA. The position is responsible for creating, developing, and implementing new and proprietary designs of absorbent-related product systems based upon business, customer, and consumer needs as well as provide support for the needs of present product systems to assure competitive performance and value. Responsibilities include: Participate as a member of the Product Development team; execute projects in timely, diligent, safe, and professional manner, and contribute to the growth of the team and department. Design new products and product improvements to meet business and consumer needs. Develop new and improved materials and technologies with suppliers, and ensure all new raw materials obtain proper safety testing and clearance. Use basic Design of Experiments (DOE) techniques to develop experimental plans. Support the existing business product cost improvements through product redesigns. Provide technical support to reduce consumer complaints. Support corporate proprietary technology by documenting and patenting novel ideas. Develop new test methods to better predict and understand product performance in use. Work with more senior scientist or manager to help set project objectives. Coach and develop indirect reports to enhance team performance towards department objectives. Education and experience requirements include: Able to travel ~20-30% to US and International for product and process trials. Four-year technical degree (e.g. Chemistry, Chemical Engineering, Mechanical Engineering) or equivalent; additional business studies preferred. 3+ years in R&D inventing, developing and implementing new products. Knowledge of and experience with developing product systems for the retail market, preferably hygiene products Knowledge of materials used in retail absorbent products (e.g. pulp, super absorbent polymers, nonwovens). Working knowledge of consumer product converting technologies for pulp, paper and nonwoven materials. Experience with the process of searching, evaluating and filing patents. Experience providing direction for the physical testing of hypotheses, resulting in specific conclusions and recommendations. Able to speak, read and write the English language and have strong oral and written communication skills. Good analytical skills, with working knowledge of basic statistics. Good computer skills in Microsoft Office program. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (years' worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status. For immediate consideration, please go to the Careers section at ******************** to complete our online application.

Applied AI Data Scientist hackajob on-demand focuses on matching talented contractors like you with organisations seeking specific skills for their projects. We use our platform to connect you with exciting contract opportunities and discuss projects on behalf of the companies we partner with. Must be located in Dallas, TX or Charlotte, NC - role is on-site 5 days/week What You'll Get to Do: Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities Prototype quickly, iterate efficiently, and help evolve data science best practices across the team What You'll Bring with You: Solid experience in statistical modeling, clustering techniques, and probability-based analysis Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical) Working knowledge of ML Ops basics, including experiment tracking and key model metrics Proficiency in Python and common data science/AI libraries Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments

Quality Chemical Laboratories (QCL), a pharmaceutical testing, manufacturing, and development lab in Wilmington, is seeking a highly motivated scientist for our formulation development laboratory. The focus of this position is solid oral dosage forms but other dosage form experience, especially parenterals, will be considered as this is an area of growth for the company. Must be capable of working independently from concept and product prototype through transfer to cGMP Manufacturing. The ideal candidate will possess strong problem-solving abilities, excellent customer service mindset, and a positive can do attitude. A college degree is required with at least 3 years' experience in formulation development. Experience in process development and technology transfer into cGMP manufacturing, familiarity with analytical techniques, regulatory requirements, and early phase cGMP manufacturing is preferred. Quality Chemical Laboratories (QCL) is a rapidly growing pharmaceutical testing and manufacturing lab in Wilmington, NC. We are seeking highly motivated candidates for multiple positions throughout the company in the areas of analytical data review, LabWare LIMS development/configuration/validation, Document Control, Computer System Validation and Data Integrity Specialists, Scientists (all levels) with experience in Mass Spec, LC, GC, QC compendial testing, Wet Chemistry, Microbiology, Sterility, Synthetic Chemistry, Biotech, Pharmaceutical Formulation and Manufacturing (requires knowledge of manufacturing equipment), Validation Engineers, Metrology, Report Generation, Sample Log-In Associates, and HVAC Technicians. Special attention given to candidates with an advanced degree in Chemistry or related science and experience in method development/validation. Special consideration also given to experienced GMP data reviewers. QCL offers competitive salaries commensurate with experience and an excellent benefits package, as well as great potential for career advancement and leadership in a rapidly growing company. We now also offer subsidized childcare at our newly acquired childcare facility. QCL is an equal opportunity employer. recblid jgn3c0xhlgg5t9qod59xrg16ovsavc

Job Title: Production Scientist II Reports To: Manager, Production Raleigh, NC FLSA Status (Exempt/Non-Exempt): Exempt The Production Scientist II will involve all manufacturing tasks related to the production of the company's inorganic products. Responsibilities include manufacturing, handling, and packaging of concentrates and single/multi-element reference solutions as per standard operating procedures. The incumbent must be a dynamic individual who can multi-task and perform various activities associated with manufacturing operations while adhering to all safety policies and high quality Standard Operating Procedures. This position requires hands on chemistry lab work and will report to the Production Manager. Key Responsibilities: Assist and manufacture inorganic chemical products using knowledge of chemistry principles Assist in inventory management including organization of inventory, weighing actual hands-on inventory, and updating LIMS Adhere to all safety, quality, process, housekeeping and company policies/procedures to ensure compliance to various regulatory and internal system requirements Adhere to inventory management policies, procedures and practices to ensure uninterrupted flow of material in support of production build schedules Communicate exceptions to established/agreed upon schedules to all affected parties internal and external. Actively participate with internal support organizations to ensure product quality and delivery schedules meet customer specifications and expectations Troubleshoot products that exhibit special process problems Identify, define and support intra/inter departmental continuous improvement activities/initiatives to successfully support operations and the corporate strategic vision Other duties as assigned Education: Bachelor's degree in chemistry, Engineering or related field from an accredited higher learning institution or equivalent experience. Experience: 4+ years laboratory experience. Inorganic/organic chemistry and manufacturing experience preferred. Minimum Requirements/Qualifications: Experience with general chemistry glassware, lab supplies and inorganic chemical handling Previous instrumentation experience on density meter, pH meter and auto/manual titration a plus Basic mathematics and familiarity with general chemistry calculations Self-motivated individual who possesses the ability to analyze, organize, plan, prioritize assignments, multi-task and achieve results through process focused production Ability to develop realistic/achievable action plans to support organizational objectives and strategies Quick learner, ability to pick up and create procedures and processes quickly. Project management training and experience is beneficial Excellent organizational skills and attention to detail Thrives in a fast-paced, collaborative environment, efficiently works under pressures, within deadlines or other essential time constraints. Excellent communication skills, both written and verbal, to communicate to all levels of the organization clearly and concisely. Strong work ethic and an ability to excel within a rapidly changing and growing organization Compensation & Benefits: Salary Range: $55,000-$80,000, depending on location, experience, and qualifications. Benefits coverage begins day 1, including the following: Medical, Dental, Vision Insurance Disability Insurance Life Insurance 401(k) company match Paid Time Off (15 days annually) Paid Holiday time (10 company-designated days) Tuition Assistance Additional benefits available with company package This position has not been approved for Relocation Assistance. The above statements are intended to describe the general nature and level of the work being performed by people assigned to this job. They are not an exhaustive list of all of the duties and responsibilities associated with it. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Do you enjoy turning real-world problems into mathematical solutions and applying AI/ML to geospatial intelligence (GEOINT) data? We tackle our customers' toughest challenges with innovative approaches and custom tools. We're seeking an experienced AI/ML researcher to work across the full workflow-from data acquisition and model development to pipeline evaluation, application prototyping, and hardware-based solution implementation. Responsibilities: Contribute to multi-discipline AI/ML research teams using multi-INT data (with emphasis on GEOINT) to design, implement, and evaluate machine learning solutions. Engineer and transform diverse data types to support all phases of the AI/ML workflow. Architect, develop, and integrate novel AI/ML models (e.g., computer vision, semantic activity detection, geospatial analytics, signal processing). Design, implement, and assess edge-based AI/ML solutions across hardware and software stacks. Stay current on AI/ML advances from industry and academia, applying them to government mission challenges. Provide subject matter expertise, mentoring, and strategic advice to government and internal teams on AI/ML trends, approaches, and delivery strategies. Communicate progress, results, risks, and challenges to government clients, partners, and project leadership. Support program execution by integrating diverse data science skillsets, managing sprint projections, assessing risks, and occasionally traveling for meetings and demonstrations. Minimum Qualifications: Must be a U.S. citizen with an active TS/SCI and the ability to obtain a CI polygraph. Bachelor's degree in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, or related field, with 7+ years of experience designing, developing, testing, and deploying AI/ML models across diverse data types. Minimum 2 years of experience with synthetic training data generation, low-shot learning, and robust ML, as well as cloud-based platforms (e.g., AWS, Azure) and AI/ML services (e.g., SageMaker, Watson Studio). Experience working with remote sensing and GEOINT datasets, including EO, RF, and SAR imagery, and familiarity with government collection platforms. Ability to work effectively with geographically distributed teams and onsite in Herndon, VA or Westminster, CO. Strong communication skills demonstrated through technical writing (e.g., proposals, white papers, academic publications) and speaking engagements (e.g., briefings, conference presentations), with excellent organizational skills and attention to detail. Preferred Qualifications: Advanced degree (M.S. or Ph.D.) in Data Science, Engineering, Math, Physics, Computer Science, Applied Geography, or a related field. Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely). Experience with deep learning algorithms for image science (e.g., YOLO, SSD, DetectNet) and containerization platforms (e.g., Docker, Kubernetes, OpenShift, Cloud Foundry). Strong background working in Linux environments and using version control tools such as Git and GitLab. Ability to design and implement compute hardware and infrastructure solutions to support both edge and backend AI/ML applications. Experience with communication hardware and signal processing, including antenna design/implementation, RF signal propagation, and software-defined radios. Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within Colorado is: $124,000.00 - $206,000.00 annually. ● The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $228,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ****************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We're big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. The Advanced Technology Group (ATG) is the research division of the company. ATG's mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby's continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. Dolby is looking for a talented Senior AI Researcher to join Dolby's research efforts to develop the next generation of AI based audio and video technologies. You will work with Dolby's world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies. As a part of a global team, the Senior AI Researcher will work on ideas exploring new horizons in multi-modal media processing, analysis, replay and organization. You will be responsible for performing fundamental new research, transferring technology to product groups, and draft patent applications. Summary You will push the boundaries of the state-of-the-art in audio and media technologies. The ideal candidate would have a strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate with the bleeding edge in generative models, self-supervised learning, and multi-modal learning. With the explosion of multi-modal foundation models and the growing capabilities of vision-language and audio-language systems, you will partner closely with Dolby's Applied AI team, which actively pursues the integration of these cutting-edge technologies into next-generation audio and media experiences. You will be able to hit the ground running, innovate, and contribute to impactful projects that leverage the latest advancements in AI. Consequently, experience with audio models, language models, question answering, vision-language models, captioning, etc. would be highly beneficial. Main Responsibilities • Partner closely with other domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. • Use deep learning to create new solutions (including foundation models) and enhance existing applications. • Push the state-of-the-art and develop intellectual property. • Transfer technology to product groups and draft patent applications. • Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions. Requirements • Ph.D. in Computer Science or similar field. • A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience. • Knowledge in audio, video, or text processing is desirable. • Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP). • Good knowledge about current machine learning literature. • Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch). • Ability to envision new technologies and turn them into innovative products. • Good communication and collaboration skills. Consequently, knowledge or experience in any/all of the following are helpful: • Diffusion, autoregressive, or other generative models. • Self-supervised, contrastive learning, auto-encoders. • Audio, image, or text applications - Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. The Atlanta Area base salary range for this full-time position is $137,500-$168,200, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process. Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12 Equal Employment Opportunity: Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Purpose Lilly TuneLab is an AI-powered drug discovery platform that provides biotech companies with access to machine learning models trained on Lilly's extensive proprietary pharmaceutical research data. Through federated learning, the platform enables Lilly to build models on broad, diverse datasets from across the biotech ecosystem while preserving partner data privacy and competitive advantages. This collaborative approach accelerates drug discovery by creating continuously improving AI models that benefit both Lilly and our biotech partners. The Machine Learning Scientist/Sr Scientist, Antibody Property Prediction & Generative Design plays an essential role within the TuneLab platform, specializing in antibody and biologic drug development. This position requires deep expertise in antibody engineering, protein design, and immunology, combined with advanced machine learning capabilities in sequence modeling and structure prediction. The role will drive the development of AI models that accelerate antibody discovery, optimization, and developability assessment across the federated network. Key Responsibilities * Antibody Property Prediction: Build multi-task learning frameworks specifically for antibody properties including binding affinity, specificity, stability (thermal, pH, aggregation), immunogenicity, and developability metrics from sequence and structural features. * Antibody Sequence Generation: Develop and implement generative models (transformers, diffusion models, evolutionary models) for antibody design, including CDR optimization, humanization, and affinity maturation while maintaining structural integrity. * Structure-Aware Design: Integrate structural modeling and prediction (AlphaFold, ESMFold) with generative approaches to ensure generated antibodies maintain proper folding, CDR loop conformations, and epitope recognition. * Developability Optimization: Create models that simultaneously optimize for multiple developability criteria including expression yield, solubility, viscosity, and post-translational modifications, crucial for manufacturing and formulation. * Species Cross-Reactivity: Develop approaches to design antibodies with desired species cross-reactivity profiles for preclinical development, learning from cross-species binding data. * Antibody-Antigen Modeling: Create models for predicting antibody-antigen interactions, epitope mapping, and paratope design, incorporating both sequence and structural information. Basic Qualifications * PhD in Computational Biology, Protein Engineering, Immunology, Biochemistry, or related field from an accredited college or university * Minimum of 2 years of experience in antibody or protein therapeutic development within the biopharmaceutical industry * Strong experience with protein sequence analysis and structural biology * Proven track record in machine learning applications to biological sequences * Deep understanding of antibody structure-function relationships and immunology Additional Preferences * Experience with immune repertoire sequencing and analysis * Publications on antibody design, protein engineering, or therapeutic development * Expertise in protein language models and transformer architectures * Knowledge of antibody manufacturing and CMC considerations * Experience with display technologies (phage, yeast, mammalian) * Understanding of clinical immunogenicity and prediction methods * Proficiency in protein modeling tools (Rosetta, MOE, Schrodinger BioLuminate) * Familiarity with antibody-drug conjugates and bispecific platforms * Experience with federated learning in biological applications * Portfolio mindset balancing innovation with practical developability This role is based at a Lilly site in Indianapolis, South San Francisco, or Boston with up to 10% travel (attendance expected at key industry conferences). Relocation is provided. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $151,500 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Full-time Description JOB TITLE: Bioinformatician 2511-12755-BIO-1 Atlanta, GA, USA ASRT, Inc. provides scientific, information management, management consulting, bioinformatics, and administrative program support to the Centers for Disease Control and Prevention (CDC) and other Federal and private sector clients. The successful candidate will be a full-time employee of ASRT, Inc., and will be assigned to the National Center for Emerging Zoonotic Infectious Disease (NCEZID), Office of Advanced Molecular Detection (OAMD), CDC located at CDC Roybal Campus on Clifton Rd, Atlanta, GA, to provide services to satisfy the overall administrative and professional operational objectives for OAMD. SCOPE OF WORK The Bioinformatician II will support a unified Cloud infrastructure for data storage and analytics to allow for easy sharing of bioinformatics pipelines, laboratory and bioinformatics protocols, and related genomic sequence data. MAJOR DUTIES AND RESPONSIBILITIES Monitor the technical status and progress of work, checking on work in progress and reviewing completed work. This may include monitoring vendor and collaborator performance based on data reported on key project measures using qualitative and quantitative measures. Maintain records that provide for the proper evaluation, control, and documentation of assigned activities; prepare a variety of written correspondence, reports, and other materials as appropriate. Summarize project data for program's use (this could include creation of short briefs, presentations, dashboards, reports, charts, etc.). Support cloud implementation by working with the cloud implementation team to establish requirements and to assist with technical review of implementation and verification of work performed. Provide bioinformatics support by reviewing reports and developing standards for analysis. Review outputs from bioinformatics analysis pipelines to verify pipelines perform as expected. Work with CDC Scientific Computing Team to establish requirements, verify implementation, schedule meetings, and keep up with documentation to support the team. Assist in defining and developing statements of work for IT contracts related to cloud implementation. Perform market research related to cloud implementation. Provide technical documentation in relation to cloud implementation. Coordinate and maintain contacts and relations with as well as facilitate meetings and sessions between OAMD partners, interested external groups, and collaborating organizations Partners for knowledge-sharing, project development, and improvement. Draft and present summaries of findings to internal and external stakeholders. Confer with and represent the assigned program and division in meetings with offices within CDC, grantees, and external partners to foster collaborative working relationships to the benefit of the program. Requirements MINIMUM QUALIFICATIONS Education and Experience: Master's degree in information technology, bioinformatics, allied health, health science, or life sciences, minimum 3 years of work experience in health informatics, two years of work experience in cloud implementation, and 2 years of technical project management experience. Required: Strong quantitative skills, including proficiency in Phyton; relational database management systems; and standard Microsoft Office applications including Word, Excel, and PowerPoint. Experience with whole genomic sequencing, and genome-based typing systems. Experience performing quality control, assembly, annotation, and analysis of pathogen genome sequences. Proficiency with open source and commercially available software for bioinformatics analysis of next-generation sequencing data. Proficiency with Microsoft Word, Excel, and PowerPoint. Excellent attention to detail and the ability to efficiently organize multiple priorities. Documentation of daily work with good laboratory practice compliance. Ability to work and build coalitions with partners involved and develop strategies for effectively conveying information to partners. Skills and experience writing project reports, research protocols, and manuscripts. Ability to independently resolve conflicts. Working knowledge of CDC applications. Desirable: Experience working with a diverse interdisciplinary team. Knowledge of CDC policy, quality, and regulatory training. Language Skills: The candidate must possess excellent oral and written communication skills in English. REQUIREMENT: Must be a United States citizen or permanent resident or have authorization for employment in the United States. SALARY: Commensurate with qualifications and experience. To apply for this position: If you are viewing this position on the ASRT Career page, please click on the "Apply" button. If you are viewing this position on a site other than the ASRT Career page, you may use the "click to apply" link, or you may apply by visiting our Career page and searching for the job title and position number listed at the top of this job posting. To view all of our open positions and to apply to job openings in which you may be interested, please visit our Career page at ******************************** EEO/vets/disabled Salary Description $95,000-$105,000

Tanaq Management Services (TMS) delivers professional, scientific, and technical services and information technology (IT) solutions to federal agencies in the health, agriculture, technology, and other government services. TMS is a subsidiary of the St. George Tanaq Corporation, an Alaskan Native Corporation (ANC) committed to serving Federal customers while also giving back to the Tanaq native community and shareholders. **About the Role** We are seeking a highly motivated **Bioinformatician** to support ongoing projects within public health and the federal government. The ideal candidate will have experience analyzing biological data in the areas of phylogenetics, molecular evolution, recombination analysis, and whole genome analysis. This position will involve supporting various laboratory projects, including the development of new vaccines, the study of infectious diseases, molecular epidemiology, and surveillance. The successful candidate will have the opportunity to collaborate with various agencies and contribute to important research making a difference in the fight against disease. The Bioinformatician is responsible for R-programming and experience in Matlab applications. This role will collaborate with scientists across various disciplines to extract meaningful insights from complex datasets and contribute to ongoing research projects. This is a hybrid remote role based in Atlanta, GA. Some on-site work will be required at the client's location in Atlanta, GA; the frequency will be determined by the client's needs. **Responsibilities** + Assist in and lead projects in bioinformatics and computational biology. + Provide data analysis support for sequencing requests through the Genome Sequence Lab. + Conduct Bioinformatics Activities in support of several projects being undertaken in support of Global Polio Eradication Program. + Perform assembly & Mapping activities, including genome assembly services for all sequencing platforms in the GSL (Sanger, Roche454, Illumina, Ion Torrent, MinION, and PacBio). + Provide single platform assembly using software packages to include CLCbio, Celera Assembler, MIRA, velvet, and BWA. + Conduct Genomics analysis such as SNP/indel detection, gene structure comparisons, gene absence/presence determination, and protein sequence comparisons utilizing software packages such as kSNP, BLAST, and custom software. + Perform variant detection techniques, including Amplicon or Deep Sequencing, to determine consensus sequences. + Conduct Metagenomics techniques to identify species of microorganisms from an uncultured DNA sample utilizing BLAST/Megan, metagenefinder, QIIME, MG-RAST, and 16S databases utilizing RDP and Greengenes software packages. + Provides legacy sequencing data retrieval. + Analyze genetic sequencing data utilizing new methodologies or existing techniques that have been revised + Collaborate on genetic analysis projects and studies with internal and external partners. + Assist laboratory scientists (with varying levels of computational expertise) in the design and implementation of bioinformatics tools that support the automation of data analysis, especially for next-generation sequencing data and large data sets. + Advise senior scientists on applying a variety of bioinformatics analysis tools used to compare and categorize polio and picornavirus isolates and virus populations. + Request NGS Sequencing for Illumina MiSeq and NovaSeq; PacBio RSII and Sequel; Oxford Nanopore MiniON. + This description does not encompass all tasks; employees may perform other related duties as required. Requirements **Required Experience and Skills** + Minimum 3 years of experience in the capacity of a bioinformatician. + Experience with automation support; QMS & CLIA support; ELIMS integrations; Testing and curating new technologies, e.g., Nanopore; website development; communications and user experience + Strong experience using applications such as BLAST/Megan, metagenefinder, QIIME, MG-RAST, and 16S databases such RDP and Greengenes. + Experience with Matlab. + Experience with de novo assembly and reference mapping. + Experience with RocheAVA, CLCbio, VIP, and VarScan software packages + Experience working for the federal government or in a public health setting preferred. + Strong attention to detail. + Ability to work independently and as part of a team in a fast-paced setting. + Ability to work with a diverse interdisciplinary team. + Excellent written and verbal communication skills. + Effective organization skills. + Advanced experience with comparative genomics methods, including SNP/indel detection, gene structure comparisons, gene absence/presence determination, and protein sequence comparisons. + Ability to pass required Federal background screening, obtain and maintain government clearance. + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred Qualifications + Experience maintaining epidemiological and laboratory data using SAS, or R, REDCap, Microsoft Access, Excel, EpiInfo. + Experience developing scripts and software for data manipulation, cleaning, analysis and visualization with Python, R, BASH, and SQL. + Proficient in developing bioinformatics pipelines through workflow tools, including Snakemake or Nextflow, on Linux-based high-performance computing environments. + Ability to convert existing datasets from diverse file formats (e.g. Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets. + Experience with bioinformatics associated with viral diseases at CDC. + Previous experience in federal government or public health and molecular epidemiologic research. **Education and Training** + Master's degree in Bioinformatics, Computational Biology, Computer Science, Microbiology, Biology, or closely related field, plus a minimum of 3 years of experience in the capacity of a bioinformatician. **Physical Requirements** + Prolonged periods of sitting at a desk and working on a computer. May need to lift 25 pounds occasionally. **Who We Are** Tanaq Management Services (TMS) strives to deeply understand and analyze our clients' vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to achieve excellence by delivering on our commitments to our clients, employees, and partners. **Our Commitment to Non-Discrimination** Tanaq Management Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify. If you are an individual with a disability and need assistance completing any part of the application process, please email accommodation@tanaq.com to request a reasonable accommodation. This email is for accommodation requests only and cannot be used to inquire about the status of applications. **Notice on Candidate AI Usage** Tanaq is committed to ensuring a fair and competitive interview process for all candidates based on their experience, skills and education. To ensure the integrity of the interview process, the use of artificial intelligence (AI) tools to generate or assist with responses during phone, in person and virtual interviews is not allowed. However, candidates who require a reasonable accommodation that may involve AI are required to contact us prior to their interview at accommodation@tanaq.com. **To apply for this and other positions with our company, visit:** ***********************************************************************************************************************

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn. Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation. Great Hill Solutions, LLC seeks a highly skilled Bioinformatician II to support the CDC. This role is critical for conducting genomic epidemiologic studies, developing bioinformatics pipelines, and analyzing next-generation sequencing data to support public health surveillance and response efforts. Duties: Develop standard operating procedures and quality documentation for sequence analysis pipelines. Provide technical assistance to integrate bioinformatics workflows with existing platforms in CORVD programs. Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. Provide technical assistance on tasks related to genomic epidemiologic studies on the evolution of viruses. Apply analytical and interpretive skills to analyze next generation sequence data from global surveillance of viruses. Provide data management and analytic support for global surveillance platforms. Construct pipelines and workflows for sequence analysis and build custom algorithms and tools for specific problems. Conduct genomic epidemiologic studies on the evolution of viruses to detect and assess the risk of new emerging variants to current vaccines. Analyze next generation sequence data using spatiotemporal, phylodynamic, and epidemiologic approaches. Use mathematical and computational approaches to understand the evolutionary and epidemiological patterns of viruses. Ensure appropriate genomic analysis methods, procedures, techniques, and quality controls are correctly conducted. Prepare reports, summaries, presentations, papers, and other documents to highlight findings and surveillance data. Contribute to abstracts, presentations, and peer-reviewed publications from related projects and studies. Basic Qualifications: BA/BS with 3-10+ years' experience, MS with 0-7+ years' experience or PhD with 0-3+ years' experience. Desired Qualifications: Mastery of at least one general purpose, widely used scripting or programming language (e.g., Python, Perl, Rust). Working knowledge of database Structured Query Language (SQL). Familiarity with analytics languages or tools such as R or Pandas. Familiarity with pipelining tools such as Nextflow or Snakemake. Familiarity with fundamentals of nucleic acid sequence alignment and comparison. Knowledge and experience of phylogenetic analysis. Knowledge of and experience working with clinical data. Experience working with CDC staff at multiple organizational levels. Interpersonal communication: telephone, email, and business etiquette. Strong proofreading skill and attention to detail. Strong organizational skills. Experience working with CDC staff at multiple organizational levels. Work experience in the scientific field, including physician, epidemiologist, clearance reviewer, or related field (preferably in a public health setting). Equal Opportunity Statement: Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.

Principal Associate, Data Scientist - People Tech Innovation Hub Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally personalizing offers using statistical modeling and the relational database, evolving into a Fortune 200 company focused on data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team leading the next wave of disruption at a new scale, using modern computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives. Team Description A Call to Innovators! Capital One\'s People Technology Innovation Lab is hiring a Data Scientist to translate raw data into game-changing insights and products. We don\'t just use data; we make it a strategic asset. You'll tackle complex, high-impact problems using technologies like Generative AI and Knowledge Graphs to transform the employee experience. You\'ll move beyond incremental improvements and help deliver disruptive, innovative use cases that shape how Capital One works and evolves. If you thrive on technical challenges, product ownership, and leveraging a diverse tech stack to reveal insights in massive datasets, join us as a core driver of innovation culture. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal insights from large volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Translate the complexity of your work into tangible business goals through strong interpersonal skills The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, applying them where appropriate. Creative. You thrive on solving big, undefined problems and are not afraid to share new ideas. Statistically-minded. You\'ve built and validated models, interpreted evaluation metrics, and have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. You can retrieve, combine, and analyze data from diverse sources and structures; understanding the data is often the key to great data science. 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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related 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 a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala At least 3 years' experience with machine learning At least 3 years' experience with SQL At least 1 year of experience working on RAG (retrieval augmented generation) based AI workflows, evaluating the output of GenAI models Experience working with vector databases to index text using chunking and embedding models Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are provided for candidates hired to work within these locations and may be reflected in the offer letter. Salaries for part-time roles will be prorated based on hours. Locations and ranges: Plano, TX: $144,200 - $164,600 McLean, VA: $158,600 - $181,000 Richmond, VA: $144,200 - $164,600 Riverwoods, IL: $144,200 - $164,600 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary offered will be reflected in the offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses or long-term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support 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 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 applicable laws and regulations. If you require accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed reasonable accommodations. Careers inquiries: for technical support or questions about Capital One\'s recruiting process, please email **********************. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines correspond to the respective Capital One entity. #J-18808-Ljbffr

Senior Analytical Scientist (R&D/Product Development) position with a large, well-established pharmaceutical manufacturing company in Greenville, SC. This is a direct hire, full time, onsite role. Relocation assistance is available for candidates located outside of the greater Greenville, SC area. Salary is dependent upon education and experience. This company offers fantastic benefits, and a positive, team-oriented work environment. Requirements: Bachelor's degree in Chemistry 6+ years of experience as an Analytical Chemist or Scientist working in pharmaceutical product development/R&D with responsibility for the job duties listed below Must have experience developing and completing validation/verification of analytical methods to support product release and stability testing, and submitting products to the FDA Strong knowledge of cGMP and FDA regulations; USP and ICH are a plus HPLC, UPLC, GC, TLC, dissolution, particle size analysis, UV/Vis, FTIR, spectroscopy, titrations experience Chromatography software experience (Empower, OpenLab, etc.) Strong MS Office and document management skills (Word, Excel, Adobe Acrobat for PDF editing) Must have professional verbal and written communication skills, with strong technical writing abilities for creating SOP's, reports and FDA submittals Ability and desire to mentor and train junior team members Must be authorized to work in the United States without visa sponsorship (both now and in the future) Additional experience that is a plus: Liquid oral solution/suspension experience ICP experience Mass spectrometry experience (MS, LC-MS, GC-MS, ICP-MS) Extractables/leachables identification for N-nitrosamines Previous experience in a Senior Scientist role Master's degree in Chemistry Job Summary: Responsible for developing, validating, and verifying complex analytical methods to support drug product release and stability testing. This role includes designing and executing method validation/verification protocols and reports, preparing technical documentation (SOP's, test methods, etc.) and independently managing projects all the way through to FDA submission. This team member will troubleshoot analytical challenges, provide technical solutions, and ensure compliance with FDA/ICH regulations. Job Duties: Develop and complete validation/verification of complex analytical methods to support product release and stability testing Design, prepare, and execute method validation/verification and transfer protocols, reports, analytical methods, and SOPs, etc. Independently manage assigned projects Perform laboratory investigations and prepare necessary reports as needed Support timely deficiency responses Evaluating, troubleshooting, and improving existing analytical methods when necessary Maintain consistency with organizational objectives while providing imaginative and practicable technical solutions to an array of difficult problems Provide and receive peer reviews Train and mentor junior scientists on analytical techniques This employee will spend approximately 50% of their work time in the lab and the other 50% developing and writing SOP's, technical documentation, FDA submittals, and reports Support other duties as assigned

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn. Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation. Great Hill Solutions, LLC seeks a skilled Bioinformatician II to support the Centers for Disease Control and Prevention (CDC) in providing bioinformatics, data management, and surveillance tool development support for viral vaccine-preventable disease programs. This role supports the design, development, and implementation of data systems and analytic pipelines used to collect, manage, analyze, and visualize epidemiologic and laboratory data across multiple Viral Vaccine-Preventable Disease Program portfolios. Key Responsibilities Maintain and manage epidemiologic and laboratory datasets using SAS and other data management tools (e.g., R, REDCap, Microsoft Access, Excel, Epi Info). Support the design, development, and implementation of surveillance tools and applications used to collect epidemiologic data. Convert and integrate datasets from multiple file formats (e.g., Excel, Access, SQL, ASCII) into SAS or other analytic-ready datasets. Design, program, test, enhance, maintain, and support surveillance applications and data collection systems. Develop scripts and software for data manipulation, cleaning, analysis, and visualization using Python, R, BASH, SQL, or similar languages. Develop and maintain bioinformatics pipelines using workflow tools such as Snakemake or Nextflow in Linux-based high-performance computing environments. Transform and prepare diverse data sources into appropriate formats for bioinformatics and molecular epidemiology studies. Conduct data mining and curation from public sequence databases to support genomic and molecular epidemiologic analyses. Develop or support dashboards and data visualization tools (e.g., Power BI, Tableau, R Shiny) to present laboratory and epidemiologic data. Prepare and submit monthly progress reports detailing accomplishments, ongoing work, and identified challenges. Basic Qualifications Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or a related field. Core experience analyzing biological datasets related to infectious diseases (e.g., sequencing, protein, phenotype, or related data types). Experience selecting, evaluating, and applying computational methods to analyze biomedical data. Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint). Demonstrated ability to interpret, document, and report results of computational and bioinformatics analyses. Preferred Qualifications Experience supporting CDC or other federal public health programs. Hands-on experience with Linux-based computing environments and high-performance computing systems. Experience supporting surveillance systems or public health data platforms. Strong organizational skills and ability to manage multiple priorities. Effective written and verbal communication skills for technical and non-technical audiences. Equal Opportunity Statement: Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.

Principal Associate, Data Scientist - US Card Upmarket Acquisition. 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 the 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 US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers. We collaborate closely with cross‑functional partner teams including data engineers, platforms engineers, product managers, and credit and business analysts to deliver solutions from ideation to implementation. We own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases. We are a team of creative problem solvers, continually challenging the status quo to keep our models dynamic, adaptive, robust, and smarter. Role Description In this role, you will: Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal insights from large volumes of numeric and textual data. Build machine learning models from idea to implementation, including designing and executing experiments, developing and iterating on models, and deploying production‑ready solutions that impact business outcomes. Translate the complexity of your work into tangible business goals using strong interpersonal communication. The Ideal Candidate is Statistically-minded: has built, validated, and backtested models; familiar with confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning. Technical: comfortable with open‑source languages and experienced in developing and deploying production‑ready data science solutions using open‑source tools and cloud platforms. Customer first: focused on making the right decisions for customers and translating analysis into value. A data guru: comfortable retrieving, combining, and analyzing data from diverse sources and structures; understands that data understanding is key to great data science. Basic Qualifications Currently has, or is in the process of obtaining, a Bachelor's Degree plus 5 years of experience in data analytics, or a Master's Degree plus 3 years of experience, or a PhD plus 1 year of experience, with the degree expected on or before the start date. At least 1 year of experience in open source programming languages for large‑scale data analysis. At least 1 year of experience with machine learning. At least 1 year of experience with relational databases. Preferred Qualifications Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field. At least 1 year of experience working with AWS. At least 3 years of experience in Python, Scala, or R for large‑scale data analysis. At least 3 years of experience with machine learning. At least 3 years of experience with SQL. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salaries are for candidates hired to work within the specified locations and refer to the amount Capital One is willing to pay at the time of posting. Salaries for part‑time roles will be prorated based on hours worked. Chicago, IL: $144,200 - $164,600 for Principal Associate, Data Science; McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science. Candidates hired to work in other locations will be subject to the pay range for that location and the offer letter will reflect the actual amount. This role is eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives (LTI). Incentives may be discretionary or non‑discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits. Learn more at the Capital One Careers website. Eligibility varies based on full/part‑time status, exempt/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) and adheres to applicable laws regarding criminal background inquiries. If you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. Capital One does not provide, endorse, or guarantee third‑party products or services and is not liable for information available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines are for Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp., respectively. #J-18808-Ljbffr

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn. Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation. Great Hill Solutions, LLC seeks a highly skilled Bioinformatician III to support the CDC. This role is critical for conducting genomic epidemiologic studies, developing bioinformatics pipelines, and analyzing next-generation sequencing data to support public health surveillance and response efforts. Duties: Develop standard operating procedures and quality documentation for sequence analysis pipelines. Provide technical assistance to integrate bioinformatics workflows with existing platforms in CORVD programs. Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. Provide technical assistance on tasks related to genomic epidemiologic studies on the evolution of viruses. Apply analytical and interpretive skills to analyze next generation sequence data from global surveillance of viruses. Provide data management and analytic support for global surveillance platforms. Construct pipelines and workflows for sequence analysis and build custom algorithms and tools for specific problems. Conduct genomic epidemiologic studies on the evolution of viruses to detect and assess the risk of new emerging variants to current vaccines. Analyze next generation sequence data using spatiotemporal, phylodynamic, and epidemiologic approaches. Use mathematical and computational approaches to understand the evolutionary and epidemiological patterns of viruses. Ensure appropriate genomic analysis methods, procedures, techniques, and quality controls are correctly conducted. Prepare reports, summaries, presentations, papers, and other documents to highlight findings and surveillance data. Contribute to abstracts, presentations, and peer-reviewed publications from related projects and studies. Basic Qualifications: MS with 10+ years' experience or PhD with 7-10+ years' experience. Desired Qualifications: Mastery of at least one general purpose, widely used scripting or programming language (e.g., Python, Perl, Rust). Working knowledge of database Structured Query Language (SQL). Familiarity with analytics languages or tools such as R or Pandas. Familiarity with pipelining tools such as Nextflow or Snakemake. Familiarity with fundamentals of nucleic acid sequence alignment and comparison. Knowledge and experience of phylogenetic analysis. Knowledge of and experience working with clinical data. Experience working with CDC staff at multiple organizational levels. Interpersonal communication: telephone, email, and business etiquette. Strong proofreading skill and attention to detail. Strong organizational skills. Experience working with CDC staff at multiple organizational levels. Work experience in the scientific field, including physician, epidemiologist, clearance reviewer, or related field (preferably in a public health setting). Equal Opportunity Statement: Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.

* Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love* Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data* Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation* Flex your interpersonal skills to translate the complexity of your work into tangible business goals* 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.* Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.* Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.* 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 (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related 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)* 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 3 years' experience in Python, Scala, or R.* Experience with PySpark/Polars* At least 3 years' experience with hands-on Machine Learning model development and deployment* At least 3 years' experience with SQL* At least 1 year of experience working with AWS or other cloud computing platform 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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr