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Medical Laboratory Scientist needed in Raleigh, North Carolina for permanent hire! Apply Now! Position Highlights: • Full-time, permanent job opportunity, • Full benefits package (401k, PTO, medical/dental/vision insurance), • Competitive pay and sign on bonus, • Room for career growth! Essential Functions: • Performs qualitative and quantitative tests using various lab instruments and/or manual methods on blood, plasma, urine, CSF, stool, and/or body fluids following standard operating procedures., • Complies with all established standards and practices pertaining to test performance, including, but not limited to, laboratory procedures, hospital procedures, CAP guidelines, JCAHO guidelines, and within the institution’s policies regarding compliance., • Performs quality control procedures as needed and established by protocol. Analyzes quality control data, makes judgments on observed results and takes appropriate action to ensure that accuracy and precision are maintained., • Identifies abnormal patient results; recognizes factors that affect measurements/results, and takes appropriate action; seeks assistance in resolution as needed., • Performs and documents equipment maintenance, calibration, quality control, and other trouble shooting procedures., • Recognizes equipment malfunctions, documents problems as may be required, performs trouble-shooting and repair in accordance with established guidelines. Alerts supervisor/manager/designee as needed., • Communicates results to physicians or other authorized healthcare providers as may be required and/or appropriate. Ensures that there is proper documentation of calls. Position Requirements: • ASCP certification (or equivalent), • Associate Degree in Science (minimum) (REF: MK102716)

About the Role At Mercor, we are partnering with top AI labs in applying AI to complex scientific challenges to build a state-of-the-art benchmark to evaluate the capabilities of the lab’s AI models in the field of bioinformatics. Our goal is to test a model's ability to autonomously design and execute complex bioinformatics workflows, starting from raw sequencing data and a natural language prompt. This project requires a sophisticated blend of tool proficiency, deep biological domain knowledge, and rigorous scientific reasoning. We are seeking talented researchers to help us create these benchmark tasks using real-world, published scientific data. A brief 15-minute interview precedes candidate selection, with decisions typically made within four days following assessment completion. Currently, applicants must be based in the U.S., UK, Canada, Australia or New Zealand. Why You’re a Great Fit You're a strong candidate if you: - Must be a current graduate student (M.S. or Ph.D.) or hold a higher degree (e.g., Postdoctoral Fellow, Research Scientist) in Bioinformatics, Computational Biology, Genomics, or a related quantitative field. - Experience using bioinformatics command line tools - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. Role Highlights - Flexible workload: 10–20 hours weekly, with the potential to scale to 40 hours. - Fully remote and asynchronous scheduling. - Initial commitment of 1–2 months, with opportunities for extension. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect About Mercor Mercor is a $2B company that connects elite talent with leading AI research labs and is headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today to leverage your skills in advancing revolutionary AI technologies!

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

Mercor is hiring experienced Go Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Go by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Go - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $90 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Mercor is hiring experienced Python Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Python - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

In this role, you will: · Develop and implement LLM-based applications tailored for in-house legal needs, ensuring they align with Cognizant's commitment to excellence and innovation • Evaluate and maintain our data assets and training/evaluation datasets, ensuring they meet the highest standards

AI-based biomarkers and surrogate endpoints Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints Build scalable infrastructure

Want to Get Hired by Top Tech Companies? SynergisticIT Is Where Your Career Begins.If you're a Java developer, software programmer, data scientist, or data analyst struggling to break into the tech industry, you're not alone.The job market is competitive, and many talented professionals find themsel

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. Managing teams

Shift: Monday through Friday, 8:00 AM - 5:00 PM Are you ready to work making the world a safer, healthier place? Join our mission to continuously move science forward; to innovate and advance all aspects of our business to improve the health and safety of our communities and lives. Scientist ISUMMARY Responsible for providing or overseeing the analysis, administration and oversight of comprehensive chemistry/biochemistry policies, programs and practices; may provide feedback and guidance to clients regarding the analysis of materials, products and/or devices utilizing complex to specialized professional and technical knowledge of chemistry/biochemistry/formulation development or related equipment, testing, and procedures. May design and develop robust and scalable formulations for small molecules and biologics for early-stage clinical trials. May develop and optimize manufacturing processes for drug products. May interpret analytical data to guide formulation and process development decisions. ESSENTIAL FUNCTIONS • Provides complex to specialized analysis in support of various testing materials, products and/or devices utilizing various analytical instrumentation; follows Standard Operating Procedures and methods to perform testing., • Provides complex to specialized review, analysis, interpretation, and documentation of testing results. Analyzes and reviews complex to specialized operations, results, feedback, and related chemistry/biochemistry/formulation information on an as needed basis to determine trends, draw conclusions, interpret findings, and presents results, proposals, and recommendations to management and/or clients., • Provides training and guidance on analytical tests, methods, and instrumentation, as required., • Provides complex to specialized analysis, interpretation and counsel to clients, staff, management, and functional leaders regarding chemistry/biochemistry policies, programs, and practices; involves broad operations and leading implementation and change., • Analyzes and reviews complex to specialized operations, results, feedback, and related chemistry/biochemistry/formulation information on an ongoing to as needed basis to determine trends, draw conclusions, interpret findings, and presents results, proposals, and recommendations to management and/or clients., • Assists with developing or participating in chemistry/biochemistry/formulation or cross functional project or program objectives, which includes proposed budgets, timelines, materials, personnel, and other project requirements, receives direction, and presents information to management and/or clients., • Develop validate and transfer analytical methods. Provide routine and non-routine analysis using instruments such as HPLC, GC, LC-MS, and FTIR, among others., • Design and develop robust and scalable formulations for small molecules and biologics for early-stage clinical trials. May develop and optimize manufacturing processes for drug products., • Ensure all activities adhere to SOP's, regulatory guidelines, GLP and GMP standards., • Contributes to the efficiency and effectiveness of the department's service to its customers by offering suggestions and directing or participating as an active member of a work team., • Promotes and supports the overall mission of Pace Analytical by demonstrating courteous and cooperative behavior when interacting with customers and staff; acts in a manner that promotes a harmonious and effective workplace environment.QUALIFICATIONSEducation and Experience, • Bachelor's degree in chemistry/biochemistry, or a closely related field., • 5-7 years of experience, including experience with specialized or technical programs or operations; OR an equivalent combination of education, training, and experience.Required Knowledge and Skills, • Empower, • Master Control, • LIMS, • UV -Vis, • Dissolution, • HPLC, • GMP, • ALCOA+, • Root Cause Analysis Find Your Place at Pace - We need you - your curiosity, your talents, and your drive - to help us advance this important work. Benefits When you join Pace®, you commit to work that makes a positive impact on our communities and our world. We commit to supporting you with benefits and perks that make a positive impact on your life. Full-time roles are eligible for our comprehensive benefits program which includes competitive salaries, medical, dental vision, 401K retirement savings plan (100% vested immediately in the employer match), life, disability and voluntary benefits, paid time off for holiday, sick and vacation days, HSA, wellness program, flexible spending accounts, tuition reimbursement, Employee Assistance program, parental leave, optional legal coverage and ID theft. Equal Opportunity Employer Pace® provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, creed, color, religion, genetics, protected veteran status, national origin, sex, age, disability, marital status, sexual orientation, gender identity or expression, citizenship, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Job Description Our Raleigh Division is seeking a Professional Geologist (PG) to support environmental site investigations, regulatory compliance, and remediation projects across North Carolina, Virginia, and surrounding states. This position is responsible for conducting subsurface evaluations, preparing technical reports, managing field investigations, and coordinating with clients and regulatory agencies. The PG will apply geologic principles to assess site conditions, support risk assessments, and guide environmental decision-making. The role requires field and office work, regulatory expertise, and strong communication skills. In addition to above market paid time off, competitive pay, and up to 90% company paid employee health insurance, this role offers the opportunity to help build the area's environmental consulting line from the ground up. If you have the PG and the entrepreneurial drive, then this job is for you! Position Description - Staff Geologist/Environmental Scientist Business Group/Dept: Operations FLSA: Exempt Reports To: Regional Vice President Date: July 21, 2025 Purpose of the Position This position supports environmental projects by conducting fieldwork to collect data, monitor environmental conditions, and assist with remediation. It also involves office responsibilities such as preparing reports and providing support to the project manager. Essential Position Responsibilities • Conduct field investigations, including sampling soil, groundwater, surface water, and air in compliance with regulations., • Operate, maintain, and calibrate field and remediation equipment, ensuring proper function and supply management., • Oversee subcontractors and field activities such as drilling, well installation, tank removal, and site remediation., • Document field observations, maintain accurate records, and ensure compliance with health, safety, and environmental standards., • Support site assessments, impact studies, and remediation projects, including in-person receptor surveys and ISCO applications., • Manage and organize environmental data, including entry, compilation, evaluation, and quality control., • Assist in drafting work plans, technical reports, figures, maps, and other project documentation., • Review and apply relevant regulations, guidance, and industry standards to project activities and deliverables., • Coordinate with project managers, senior staff, clients, and regulatory agencies to plan and execute project tasks. Personal Protective Equipment (PPE): Steel-toed footwear; hard hat; safety vest; protective eyewear; gloves Safety Sensitive: Yes Travel: 20 - 40% Licenses/Certifications Required: Professional Geologist (P.G.), B.S. in Geology, Environmental Science, or closely related field. Valid driver's license with clean driving record. Preferred Licenses/Certifications: 1 to 3 years of post-graduation experience or related work experience.

Job DescriptionJob Title: Scientist, Production Reports To:Manager, Production Position Location: Raleigh, NC FLSA Status (Exempt/Non-Exempt): Non-Exempt Position Summary: Individuals serving in this position will be working in both manufacturing, product development, and QC testing in the Spex business unit. Employees will be trained in a variety of lab techniques specific to the department assigned as well as document generation and completion. Key Responsibilities: • Execution of quality system procedures, • Proper execution of SOPs and work instructions for manufacturing procedures assigned by supervisor, • Ability to work individually as well as part of a team towards completion of specific projects, • Use of manufacturing related equipment as required by work instructions and SOPs, • Data analysis, • Demonstration of sound problem-solving skills and troubleshooting abilities, • Adherence to quality systems with special regard to FDA, ISO 13485 and GMP / OSHA compliance, • QC testing of components and finished products, • Inventory management of materials and supplies, • Focus on continual process improvement, • Cleaning and maintenance of equipment, • Guided experimental design and product testing assigned by supervisor, • Preparation of reagents, media, and buffers[PP1], • Bachelor’s degree required in biology, microbiology, or other life sciences program Experience: • Relevant experience in laboratory skills/cGMP preferred. Including but not limited to pipetting, preparing reagents, centrifugation, recording observations, etc. Minimum Requirements/Qualifications: • Ability to analyze and interpret data and results, • Proficiency in Microsoft Office, • Strong analytical, problem solving, process improvement skills, • Attention to detail, • Ability to multitask and adapt to changing priorities, • Thrives in a fast-paced, collaborative environment, efficiently works under pressure, within deadlines or other time essential 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, • Salary Range: $20/hr-$36/hr, 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.

Job DescriptionDescriptionThis position is ideal for an early-career machine learning scientist to join the AI & Machine Learning team as a Machine Learning Scientist, supporting photo-based diagnostics and remote treatment monitoring. Partnering with other machine learning specialists and product marketing, you’ll provide technical solutions to complex problems in computer vision and 3D data analysis to support Align’s product portfolio. This role is key to building out Align’s core technology capabilities. Role expectations • Use data science and machine learning to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment, • Develop algorithms and models in collaboration with business partners, product managers, and software engineers to solve key business initiatives, • Design and implement machine learning techniques to improve treatment planning, customer engagement, and device manufacturing based on historical data, • Collaborate effectively with other data science teams globally to ensure technology re-use and transfer of new capabilities to drive innovation, • Quickly learn and assimilate new business processes, ideas and concepts to formulate conclusions and deliver results., • Identify features and data needed for machine learning solutions., • Help to deliver a vision for our product evolution using machine learning, • Stay current on the emerging directions in AI-technologies and support the development of the AI/ML roadmap, • 5+ years of relevant experience, • 2+ years of machine learning research practice (including graduate work), • Masters degree or higher in Computer Science, Statistics, Machine Learning, Statistical Data Modeling or related field., • Knowledge of machine learning theory and practice., • 2+ years in a data-science-oriented programming language such as Python or R, • Strong interpersonal, oral, written, and visual communication skills, with ability to present findings concisely and effectively., • Ability to collaborate effectively with developers, program management, and internal customers on objectives, requirements and design constraints in a distributed development environment., • Able to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment, • Experience in developing software in an Agile SDLC, • Experience in collaborative work with users and other technical teams General Description of All BenefitsWe are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: • Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment, • Back-up Child/Elder Care and access to a caregiving concierge, • Family Forming Benefits – Available to Employees, and their spouse or domestic partner, covered under one of Align’s health plans, • Breast Milk Delivery and Lactation Support Services, • Employee Assistance Program, • Hinge Health Virtual Physical Therapy – Available to all employees and eligible dependents (age 18+) enrolled in an Align medical PlanEmployee benefits. Align offers its employees:, • Short-term and long-term disability insurance in accordance with those plans., • Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans., • Flexible Spending Accounts – Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan., • 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years – 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options., • Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible)., • Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure., • Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours., • 11 Company-designated paid holidays throughout the year., • If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law., • Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow), • Strong foundation in statistics, probability, and machine learning, • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling, • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making., • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation., • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability, • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets, • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making, • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings, • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment, • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals, • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks, • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Job Description SAGA Diagnostics is a personalized cancer diagnostics and disease monitoring company focused on molecular genetic analysis of circulating tumor DNA (ctDNA). The company’s mission is to improve precision cancer medicine, provide more accurate treatment monitoring, and improve patient survival using minimally-invasive liquid biopsy cancer testing services. SAGA’s proprietary tests can help patients, oncologists, and drug developers detect actionable mutations, stratify patient groups, and monitor treatment response, residual disease, and disease recurrence at unprecedented sensitivity and scale. We are seeking a Principal Scientist, High-Throughput Sequencing to lead the design, development, and optimization of next-generation sequencing (NGS)-based assays for molecular residual disease testing (MRD). The ideal candidate is an innovative scientist with deep expertise in sequencing technologies, assay development, and data-driven decision-making who thrives at the interface of research, engineering, and clinical translation. This individual will serve as a technical leader, mentor, and strategic contributor within our growing R&D organization. Key Responsibilities • Lead the development and optimization of high-throughput sequencing assays, with a focus on sensitivity, specificity, and scalability for clinical deployment., • Evaluate and implement emerging sequencing technologies (short-read, long-read, single-cell, or spatial omics) to enhance assay performance., • Collaborate cross-functionally with bioinformatics, automation engineering, and clinical development teams to design robust end-to-end workflows., • Design and oversee analytical validation studies, including assay reproducibility, limit of detection, and dynamic range., • Drive innovation strategy in sequencing, staying abreast of new chemistries, platforms, and library preparation methods relevant to diagnostics., • Mentor junior scientists and research associates, fostering technical excellence and career growth., • Ph.D. in Molecular Biology, Genomics, Biochemistry, Bioengineering, or a related field., • 8+ years of experience in high-throughput sequencing assay development (academic, biotech, or diagnostics)., • Demonstrated expertise in NGS library prep, target enrichment, barcoding/multiplexing, and sample QC., • Strong track record of assay development and technology transfer into clinical or commercial labs., • Experience analytically validating NGS assays including writing validation plans and reports, • Familiarity with bioinformatics pipelines and statistical principles for NGS assay validation. · Competitive Compensation and company wide benefits plan · Opportunities for career advancement and professional development. · A collaborative and innovative work environment dedicated to improving oncology outcomes. SAGA Diagnostics is an equal opportunity employer, fully committed to achieving a diverse and inclusive workplace that embraces and encourages applicants of every background. The company’s policy regarding equal employment opportunity means that all decisions regarding recruitment, hiring, benefits, wage and salary administration, scheduling, disciplinary action and termination will be made without unlawful discrimination on the basis of sex, gender, race, color, age, national origin, religion, disability, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, citizenship status, pregnancy or maternity, veteran status, or any other status protected by applicable federal, state or local law. If you require reasonable accommodation in completing an application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to . SAGA Diagnostics is a participant in the E-Verify program, learn more about the program and review our required disclosures here and here.

Job Description SAGA Diagnostics is a personalized cancer diagnostics and disease monitoring company focused on molecular genetic analysis of circulating tumor DNA (ctDNA). The company’s mission is to improve precision cancer medicine, provide more accurate treatment monitoring, and improve patient survival using minimally-invasive liquid biopsy cancer testing services. SAGA’s proprietary tests can help patients, oncologists, and drug developers detect actionable mutations, stratify patient groups, and monitor treatment response, residual disease, and disease recurrence at unprecedented sensitivity and scale. We are seeking a Bioinformatics Scientist focused on Machine Learning to help advance our efforts toward tracking minimal residual disease (MRD) using next-generation sequencing (NGS) and novel computational approaches. This role offers a unique opportunity to lead the exploration and application of machine learning methods in a rapidly evolving clinical landscape, while contributing to the development of scalable, production ready pipelines. You’ll bring deep and current machine learning (ML) expertise in genomics, algorithm development, and statistical modeling, and play a key role in driving best practices and evaluating new ML approaches. With a strong foundation in computational biology and a passion for innovation, you’ll work at the forefront of diagnostic development, pushing the boundaries of how cancer is detected and monitored over time. Responsibilities • Apply and adapt machine learning and statistical modeling approaches for biomarker discovery and longitudinal disease tracking., • Build scalable, production-ready analysis pipelines that meet clinical-grade performance standards., • Drive the adoption and refinement of machine learning best practices, including model interpretability, uncertainty estimation, and reproducibility., • Design computational strategies for ultrasensitive variant calling, error suppression, and signal extraction from sequencing data., • Collaborate cross-functionally with bioinformatics and data scientists, R&D and clinical teams to explore new ML approaches and evaluate their potential impact., • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or related field., • At least 2-3 years of postdoctoral or industry experience preferred, with demonstrated contributions in NGS data analysis and algorithm development., • Strong foundation in machine learning, including GLMs, tree-based methods, and neural networks., • Experience working with biological datasets, especially DNA sequencing and liquid biopsy., • Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) for biological data., • Proficient in Python and its scientific computing libraries (e.g., NumPy, Pandas, Scikit-learn), • Exposure to cloud computing environments (preferably AWS)., • Eagerness to learn and teach new methods and contribute to a collaborative, fast-paced team. Preferred but Not Required • Familiarity with MRD or ctDNA tracking approaches is a plus, • Prior contributions to open-source bioinformatics or ML tools, • Knowledge of regulatory documentation and clinical validation processes. Benefits Benefits · Competitive Compensation and company wide benefits plan · Opportunities for career advancement and professional development. · A collaborative and innovative work environment dedicated to improving oncology outcomes. SAGA Diagnostics is an equal opportunity employer, fully committed to achieving a diverse and inclusive workplace that embraces and encourages applicants of every background. The company’s policy regarding equal employment opportunity means that all decisions regarding recruitment, hiring, benefits, wage and salary administration, scheduling, disciplinary action and termination will be made without unlawful discrimination on the basis of sex, gender, race, color, age, national origin, religion, disability, medical condition, genetic information, marital status, sexual

Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. Mentoring junior data scientists and provide guidance on AI and machine learning best practices. Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cro

Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations -

As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Work closely with other data scientists and engineers to design, develo

Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations -

What You’ll Do** - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation stra

For data Science/Machine learning. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servi

What You’ll Do** - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation stra

NO C2C, W2 ONLY, NO SPONSHORSHIP** CLIENT DAY TO DAY: As a Senior Data Scientist llI, you will leverage your advanced analytical skills to extract insights from complex datasets. RESPONSIBILITIES Experience with machine learning algorithms, including deep learning, gradient boosting, and random fore

As a Senior Data Scientist II, you will leverage advanced analytical techniques to extract insights from complex data sets. Building and maintaining scalable data pipelines and infrastructure for optimal data extraction, transformation, and loading. Have substantial experience in a Data Scientist ro

NO C2C, W2 ONLY, NO SPONSHORSHIP** CLIENT DAY TO DAY: As a Senior Data Scientist llI, you will leverage your advanced analytical skills to extract insights from complex datasets. RESPONSIBILITIES Experience with machine learning algorithms, including deep learning, gradient boosting, and random fore

Experience working with Google Cloud data services such as BigQuery for analytics, Cloud Storage for object storage, and Cloud Datastore for NoSQL databases. Knowledge of securing sensitive data within GCP using tools like Cloud Data Loss Prevention (DLP) API. Direct experience building and tuning c

Your work will directly influence our experimental pipeline, as you collaborate closely with bench scientists to design experiments that validate and iteratively improve your computational models. Build and maintain robust data infrastructure and software tools to support the ML research lifecycle.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads.If you’re an early-career Machine Learning Engineer or an ML PhD who car

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This project involves using your professional experience to design questions related to your occupation as a Data Entry Keyers. Applicants must: - Have 4+ years full-time work experience as a Data Entry Keyers. Mercor is recruiting **Data Entry Keyers who work in the Administrative and Support a

A full-service $ 70 million specialty trade subcontractor offering services in mechanical, electrical, structural, and hygienic piping trades.The company has been around for over 30 years and focuses on pharmaceutical, food/beverage, and chemical facility construction.The organization is primed for

Mercor is recruiting Data Entry Keyers who work in the Administrative and Support and Waste Management and Remediation Services as independent contractors working on a research project **for one of the world’s top AI companies. This project involves using your professional experience to design

The company is a premier construction firm known for delivering high-quality projects with precision and excellence.The company prides itself on its.The company is seeking an experienced.In this role, you will oversee and manage the execution of high-end tenant improvement projects from inception to

If you are a data entry clerk or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income. Data Entry experience not required. Remote Work From Home Data Entry Clerk - Part Time Market Research Panelists Our company is seeking individuals

Estimated Duration (In months):.Analytical Skills, Communications, Medicaid, Project Management, Training.Prior experience working with state or federal clients.Only qualified Project Manager candidates located near the Raleigh NC area to be considered due to the position requiring an onsite presenc

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The Data Entry Specialist and QC personnel facilitate the production process of accurate documentation provided to our process servers teams. As a Data Entry Specialist you will review and confirm work entered into our systems, solve issues, and escalate as needed.

Extract data and information from a variety of drafting tools including Micro Station, etc. Message and data rates may apply.

Directs the tracking of deficiencies, test results, or other regularly reported quality control data.

Data Entry experience not required. Remote Work From Home Data Entry Clerk - Part Time Market Research Panelists Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments. Data entry clerk experience is not necessary.

Project Manager – Commercial Construction.Raleigh and the surrounding areas? Our client, a.This General Contractor has built a strong reputation across North Carolina for delivering high-quality construction projects on time and within budget.As Project Manager, you’ll be responsible for leading

If you are a data entry clerk or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your income. Data Entry experience not required. Remote Work From Home Data Entry Clerk - Part Time Market Research Panelists.

Spreadsheet and database knowledge, Able to analyze and visualize large sets of data, Able to create and apply accurate algorithms to datasets to identify solutions, Knowledge of programming languages including but not limited to SQL, Oracle, R, MATLAB, Python, Proficiency in statistics and statisti

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