Data science internship jobs in Reading, PA

CWT's Data & Analytics practice is seeking a motivated and detail-oriented Data Analytics Intern to join our team. The ideal candidate will assist with collecting, analyzing, and interpreting data to help the company make informed business decisions. This is an excellent opportunity for a student or recent graduate to gain hands-on experience in data analytics and contribute to real projects. Duties and Responsibilities * Assist in collecting, cleaning, and organizing data from various sources. * Perform data analysis using tools such as Excel, SQL, Python, statistics and AI/ML functionality. * Create visualizations and dashboards to communicate insights using software like Tableau, Power BI, or Excel. * Support the data analytics team in identifying trends, patterns, and correlations in large datasets. * Help preparing reports and presentations, summarizing key findings and recommendations. * Collaborate with cross-functional teams (e.g., supply chain, finance, operations) to support business initiatives with data-driven insights. * Ensure the accuracy and integrity of data used for analysis. * Conduct ad hoc analyses as required by the team. * Other duties as assigned. Required Knowledge/Skills/Abilities * Basic knowledge of data analysis tools such as Excel, SQL, Python, or R. * Familiarity with data visualization tools like Tableau or Power BI, exposure to cloud data modeling in Azure/Fabric environment is a plus. * Background in developing machine learning and AI agents and AI frameworks is highly appreciated. * Strong analytical and problem-solving skills. * Ability to work with large datasets and pay attention to detail. * Good communication skills and the ability to present data insights clearly. * A passion for data and an eagerness to learn. Education and Experience * Currently pursuing a Master's degree in Data Science, Computer Science, or a related discipline from an accredited institution * Seniors in an undergraduate program and PhD candidates are also considered for this position * The internship is expected to begin in Summer 2026, with the possibility of an earlier start date based on candidate availability and eligibility

Student Intern - HHSIAE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Hartford Funds is looking for a curious, creative thinker who's excited to explore how AI and Data Science can drive real business value. This internship is perfect for someone who loves learning, thrives in a collaborative environment, and has a solid foundation in technical concepts, plus a passion for applying them in innovative ways. If you are outgoing, adaptable, and eager to experiment with exciting tools and technology, this is your chance to work on projects that matter. What You'll Do You will receive hands-on experience with projects that blend AI, automation, and data science, such as: Building Retrieval-Augmented Generation (RAG) models for smarter document search and retrieval. Developing predictive models for use cases like next-best-offer, churn prediction, and lead conversion. Exploring agentic orchestration, leveraging AI tools in increasingly complex and meaningful workflows. Designing Robotic Process Automation (RPA) workflows to streamline business processes. What We're Looking For Learning agility and a genuine interest in AI, data science, and automation. Technical fundamentals in AI and data science concepts (statistics, modeling best practices, etc.). Hands-on skills in Python and SQL. A collaborative, proactive mindset and strong communication skills. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: - Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Core Responsibilities: 1. Engages with internal partners to understand business strategy, questions, and goals. Brings structure to business requests, translates requirements into an analytical project approach, and supports projects through completion. 2. Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness. 3. Performs analyses of historical data to surface trends and insights using analytical methods. 4. Prepares and delivers visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. 5. May own and manage recurring analytic or reporting processes. 6. Participates in special projects and performs other duties as assigned. Qualifications 3 years related work experience. Experience utilizing Python Experience utilizing SQL Experience with Data Modeling and Visualization Undergraduate degree or equivalent combination of training and experience. Preferences: Experience working with AWS (Sagemaker, S3, etc...) Interested in learning machine learning and AI Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission-we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Company Summary Statement As one of the largest investor-owned utility companies in the United States, PPL Corporation (NYSE: PPL), is committed to creating long-term, sustainable value for our 3.5 million customers, our shareowners and the communities we serve. Our high-performing regulated utilities - PPL Electric Utilities, Louisville Gas and Electric, Kentucky Utilities and Rhode Island Energy - provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation. PPL's companies are also addressing challenges head-on by investing in new infrastructure and technology that is creating a smarter, more reliable and resilient energy grid. We are committed to doing our part to advance a cleaner energy future and drive innovation that enables us to achieve net-zero carbon emissions by 2050 while maintaining energy reliability and affordability for the customers and communities we serve. PPL is a positive force in the cities and towns where we do business, providing support for programs and organizations that empower the success of future generations by helping to build and maintain strong, diverse communities today. Overview Why Choose PPL for Your Internship? At PPL, we believe in investing in the next generation of technology leaders. Our internship program is designed to provide meaningful, hands-on experience in a collaborative and innovative environment. We're looking for a forward-thinking and creative student to join our team and help shape the future of AI-powered productivity. This role is ideal for someone who is passionate about artificial intelligence, enjoys solving business problems, and is comfortable working with emerging technologies. Qualifications Required Qualifications Currently pursuing a degree in Business, Computer Information Systems, Human-Computer Interaction, Data Analytics, or a related field Minimum 3.00 GPA Comfortable working with technology and learning new tools Preferred Qualifications Strong interest in AI, automation, or machine learning, Excellent communication and collaboration skills Responsibilities What You'll Do As a Data and AI intern, you will be assigned to teams focused on developing or automating AI solutions to address business challenges. Your responsibilities may include: Building and testing AI agents using low-code tools Collaborating with business teams to identify real-world problems and define outcomes that AI can help solve. Documenting use cases, outcomes, and lessons learned from pilot projects Creating prompt libraries and templates for common business scenarios Developing dashboards or trackers to monitor Copilot usage and effectiveness Supporting Copilot user engagement and training, helping teams learn how to interact with AI tools effectively. Participating in strategy meetings and contributing ideas for team projects. What You'll Learn How to apply AI, automation, and machine learning to solve real business problems The fundamentals of prompt engineering as well as exposure to low-code/no-code and DevOps environments How to work cross-functionally with business and technical teams Best practices for AI adoption, stakeholder engagement, and change enablement Exposure to enterprise strategy and innovation in emerging technologies

We are seeking a highly skilled Techno-Functional Solution Architect with deep expertise in data analytics platforms and Retail/financial domain knowledge. This role requires a strong understanding of complex data landscapes, solution design, and architecture for integrating data from multiple platforms and presenting it effectively to business users. The ideal candidate will combine technical proficiency with business acumen to deliver robust, scalable solutions for Enterprise-wide Advance analytics. Key Responsibilities Architect end-to-end solutions for data integration, transformation, and visualization across multiple platforms. Define and implement best practices for data ingestion, modeling, and reporting. Work extensively with Snowflake and other data platforms to design efficient data pipelines. Good knowledge on Data governance - Data Catalog, Data quality Design Data Product and Data Exchange and Data Sharing Integrate data from diverse sources (ERP, Multiple SaaS platforms, APIs) into a unified analytics environment. Collaborate with various business teams, primarily finance and accounting, Field Service and Sales/Marketing teams to understand requirements and translate them into technical solutions. Conduct requirement walkthroughs and articulate solution designs to stakeholders. Review and guide code development, ensuring adherence to standards and optimal performance. Provide technical leadership and mentor teams on best practices. Implement reporting solutions using Oracle Analytics, Qlik, or similar visualization tools. Deliver dashboards and reports for financial planning and analysis. Qualifications Bachelor's degree in computer science, Information Systems, or related field. 12+ years in data analytics, solution architecture, and financial domain (retail or financial industry). Hands-on experience with Snowflake, Oracle Analytics, Qlik, and data integration tools. Strong understanding of data modeling, ETL processes, and API-based integrations. Solid knowledge of finance, accounting, and financial planning processes. Ability to engage in business conversations and translate requirements into technical solutions. Excellent communication, problem-solving, and leadership skills.

Job DescriptionDescription: At STER Seating we believe every seat is an opportunity to improve the passenger experience. That's why we are dedicated to producing seating solutions that make public transportation safer, more comfortable, and more efficient. Our team is dedicated to pushing boundaries, improving passenger comfort, and enhancing transit safety worldwide. With decades of expertise and a true commitment to excellence, we bring together skilled engineers, passionate designers, and dedicated support staff who all share a vision for the future of public transportation. A Product Data Coordinator for Engineering provides ongoing, foundational support to the engineering team members by performing data lookups, data entry, and other administrative tasks to support customer orders. This individual must be highly organized, be able to manage multiple requests with tight timelines, and have excellent communication skills. This person will be directly supporting several engineers throughout the product development cycle. Responsibilities: As the Product Data Coordinator, you will: Review customer specifications with Engineering Utilize Excel in various capacities Provide verbal and written updates to Sales, Engineering and customers in a timely and professional manner Interact with customers and team members to understand the requests and new project(s) Learn to understand drawings, designs, and assembly of products Set up parts and enter data into ERP system/Syteline Write technical product manuals for our customers Generally support Engineering needs through workflow system (JIRA) Support Aftermarket procurement requests Gain basic familiarity with SolidWorks and Solid Edge Potential for 10-15% travel Requirements: You are a great fit if this describes you: Proficient in Microsoft applications PowerPoint, Word, Excel and an understanding of MRP or ERP systems. Syteline experience a plus Have strong organizational skills Be able to read blueprints and engineering drawings Excellent written communications skills, including the use of proper spelling, punctuation, and grammar to produce error-free copy, particularly composing letters, reports and documents used for decision-making Outstanding verbal communications including tact and diplomacy, used during customer service, conflict management, development of relationships with internal and external contact Able to perform in a fast-paced, team environment, under pressure with time constraints while responding and adapting to change favorably and quickly Safety is at the forefront of your mind, following and promoting safety policies You bring a positive attitude and the ability to work cohesively in a team environment Adhere to Ster Seating's Attendance Accountability policy and do not burden coworkers and supervisors, unfairly with unnecessary and unplanned absences, lateness Understand that you are part of a growing company. You have no concerns with extended hours, as needed, to support that growth

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. Job Description Eurofins Biopharmaceutical is looking for an Associate Scientist to support Data Review of our Biochemistry team. The Associate Scientist position is considered an entry-level opportunity that will allow for hands on development and growth in day-to-day activities supporting a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). The Data Review requirement of this position will also allow for development and assignment of responsibilities that include reviewing scientific reports under CGMP guidelines, assisting with internal audits, review of scientific reports to ensure regulatory requirements have been met, data tracking and reporting. This position will provide a balance schedule to support both laboratory and data tracking operations and is seeking a potential candidate that is interested in learning both aspects within a lab setting. Employee Responsibilities and Qualifications: Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations. Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility Experience in a laboratory setting or GMP pharmaceutical setting. Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility as appropriate Good organizational skills; ability to follow direction and good communication skills are required. Strong computer, scientific, and organizational skills. Excellent communication (oral and written) and attention to detail. Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude. Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies. Qualifications Minimum Qualifications: Bachelors Degree in a LIFE SCIENCE field such as Chemistry, Biochemistry, and Biology required Authorization to work in the United States indefinitely without restriction or sponsorship Additional Information Position is full-time, Monday-Friday, 8am - 4 pm., with additional hours, as needed. Candidates currently living within a commutable distance of Lancaster, Pennsylvania are encouraged to apply. This position is NOT remote. We offer excellent full-time benefits including: comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, dental and vision options. Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer. To learn more about Eurofins, please explore our website ****************** . Eurofins USA BioPharma Services is a Disabled and Veteran Equal Employment Opportunity employer.

Description We are looking for a skilled Data Governance Analyst to join our team in Wayne, Pennsylvania. In this role, you will focus on developing and implementing data governance policies, managing taxonomy strategies, and ensuring the accuracy and scalability of data practices. This position offers an opportunity to work collaboratively across teams to enhance data quality and drive impactful solutions. Responsibilities: - Lead the development and expansion of taxonomy strategies to accommodate new industry verticals and evolving needs. - Design, implement, and enforce comprehensive data governance policies across various domains, including attributes and classifications. - Conduct routine audits and system health checks to ensure data integrity and adherence to established standards. - Collaborate with internal and external stakeholders to address data gaps and improve classification accuracy. - Maintain detailed documentation of governance standards, metadata rules, and operational playbooks. - Execute advanced queries for auditing and troubleshooting data workflows. - Utilize Python or other tools to automate data enrichment and transformation processes. - Develop and manage quality assurance workflows for new vertical launches and updates to content rules. - Partner with technical teams to support scalable backend logic for taxonomy enhancements. - Represent data governance requirements in meetings to align strategies and deliver accurate insights. Requirements - Proven experience in implementing and managing data governance policies and practices. - Strong expertise in taxonomy design and expansion. - Proficiency in Microsoft SQL for data analysis and auditing. - Ability to write and execute advanced queries for troubleshooting and data validation. - Experience with Python or similar programming languages for automation and data transformation. - Excellent documentation skills for maintaining governance standards and operational guides. - Strong collaboration skills to work effectively with cross-functional teams. - Attention to detail and commitment to maintaining high data quality standards. Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) .

Data analyst- Join the fast-paced world of IT operations as an analyst developing insights and AI for how the entire enterprise experiences technology! Understand how our clients and business partners are impacted by IT outages and degradations. Learn how IT assets, applications, and their inter-workings fuel the business! Help defend our product owners from risk with technical debt data and controls reporting. If you enjoy working with data and are looking to be engaged with a collaborative team of analysts, this is for you! Core Responsibilities: 1. Engages with internal partners to understand business strategy, questions, and goals. Brings structure to business requests, translates requirements into an analytical project approach, and supports projects through completion. 2. Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness. 3. Performs analyses of historical data to surface trends and insights using analytical methods. 4. Prepares and delivers visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. 5. May own and manage recurring analytic or reporting processes. 6. Participates in special projects and performs other duties as assigned. Qualifications * 3 years related work experience. * Experience utilizing Python * Experience utilizing SQL * Experience with Data Modeling and Visualization * Undergraduate degree or equivalent combination of training and experience. Preferences: * Experience working with AWS (Sagemaker, S3, etc...) * Interested in learning machine learning and AI Special Factors Sponsorship Vanguard is not offering visa sponsorship for this position. About Vanguard At Vanguard, we don't just have a mission-we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Work Schedule: Monday through Friday, day shift. Possible weekend and holiday rotation Clinical Genomics Data Analyst will participate in the advancement of HNL's precision laboratory medicine program. This dynamic individual will analyze data from high complexity testing and generate patient reports for sign out by the Medical Director and HNL Pathologists. ESSENTIAL DUTIES AND RESPONSIBILITIES: include the following. Other duties may be assigned. Performs technical quality review of data from high complexity genetic testing methodologies such as Next-Generation Sequencing (NGS), fragment analysis and Sanger sequencing. Using existing databases, performs technical and clinical analysis of genetic sequence alterations identified through Next-Generation Sequencing (NGS). Performs initial analysis/quality review of test data and assists the Medical Directors in drafting preliminary patient reports for molecular genetic tests and reports results within established time frames. In collaboration with laboratory technologists, identifies opportunities to improve data accuracy/integrity by evaluating, refining and improving analysis/variant interpretation workflows. Assists in the continued development of standard operating procedures for the NGS program. Maintains a professional level of knowledge of molecular biology and genetics to properly analyze molecular genetic test results; in particular, in the context of abnormal or atypical findings, by conducting comprehensive literature review. Keeps current with new and evolving clinical standards and workflows. Participates in, and successfully completes all proficiency testing. Ensures compliance with CLIA/CAP requirements and adheres to the laboratory's documented Quality Management Plan. Participates in education and mentorship of other lab staff through direct interaction and presentations. Serves as a technical resource on next-generation sequencing analysis pipelines and relates expertise to staff. Manages training of lab staff on genomic testing and coordinates competency program. In conjunction with management, helps to troubleshoot instrumentation and test methods and makes decisions regarding action to be taken. Other job functions as assigned. QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education/Experience: BS/MS in molecular biology, human genetics, bioinformatics , or related field with a strong desire to work in a clinical environment. Experience performing Next- Generation Sequencing or molecular biology bench work highly preferred. Experience analyzing Next-Generation Sequencing data with commonly used bioinformatics tools and databases preferred. Dynamic, motivated and productive individual experienced in working in a team- based environment. Strong work ethic, time management skills, and excellent verbal/written communication skills. Analytical and problem-solving skills with attention to detail is mandatory. Language Ability: Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write speeches and articles for publication that conform to prescribed style and format. Must have excellent communication, collaboration and presentation skills. Math Ability: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. Reasoning Ability: Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Proven problem-solving skills and collaborative nature in fast-paced environment. Must have technical proficiency and collaborative ability as well as independent thought. Computer Skills: Ability to use Microsoft office products, and various other computer software products including the Laboratory Information System. Software development experience preferred but not required. Certificates and Licenses: Must be certified by the appropriate board if deemed necessary HNL Lab Medicine is an equal opportunity employer. In accordance with, and where applicable, in addition to federal, state and local employment regulations, Lehigh Valley Health Network will provide employment opportunities to all persons without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability or other such protected classes as may be defined by law. All personnel actions and programs will adhere to this policy. Personnel actions and programs include, but are not limited to recruitment, selection, hiring, transfers, promotions, terminations, compensation, benefits, educational programs and/or social activities. Address: 794 Roble Rd Primary Location: HNL- Roble Position Type: Onsite Department: 1046-00009 Molecular Lab

This role will help in the development of predictive analytics solutions. The Associate Data Scientist will work on 1-2 projects concurrently under the supervision of senior members of the Data Science team. The projects at this level will vary from small and straightforward to large and complex. Similarly, impact can range from team/department level up to organization-wide. The Associate Data Scientist provides analysis and assists in developing machine-learning models to solve business problems. Such efforts require cross-functional involvement from various disciplines across the organization. Major Responsibilities: Data evaluation and analysis: • Assist in identifying appropriate data sources to answer business question • Extract, blend, cleanse, and organize data • Visualize data • Identify (and ameliorate) outliers and missing or incomplete records in the data Model building and implementation • Participate in the identification of appropriate techniques and algorithms for building model • Create and test model • Build application and embed model Communication • Engage in best practices discussions with other team members regarding modeling activities • Discuss project activities and results with team • Help in the documentation and presentation of project stories Identify opportunities for savings and process improvement: • Collaborate with various stakeholders to identify business problems • Help conduct ROI analysis to determine project feasibility • Help build business case to solve such business problems • Other projects as assigned by the supervisor Qualifications: • Masters degree required, concentration in Engineering, Operations Research, Statistics, Applied Math, Computer Science, or related quantitative field preferred • 1+ years experience along with a Master's degree in data or business analytics • 1 year of experience designing and building machine learning applications using either structured or unstructured datasets is required. Practical experience programming using Python, R or other high level scripting languages is required. Demonstrated experience with one or more machine learning techniques including logistic regression, decision trees, random forests and clustering is required. Knowledge and experience with SQL is preferred. • Experience in the following areas: -Machine learning (intermediate) -Statistical modeling (elementary) -Supervised learning (intermediate) -Statistical computing packages (e.g., R) (elementary) -Scripting languages (e.g., Python) (intermediate) • Ability to collect and analyze complex data • Must be able to translate data insights into action • Must be able to organize and prioritize work to meet multiple deadlines • Must be able to communicate effectively in both oral and written form • Strong communication skills required • Must have strong time management skills • Regular, predictable, full attendance is an essential function of the job • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer.

JPC Partners is looking for a Fractional ML Engineer or Data Scientist to help our Cybersecurity client analyze and model data from real-time network traffic logs (primarily Zeek conn.log, DNS logs, and NetFlow). Our goal is to extract actionable insights and build lightweight detection models for anomalous behavior, segmentation policy validation, and traffic classification. You'll be working with structured log data and should be comfortable designing and evaluating machine learning workflows that can scale or be embedded into lightweight data pipelines (e.g., Jupyter, Python, cloud-ready). This is part-time/project-based, ideal for someone with a cybersecurity lens and ML fluency. Responsibilities Explore and model Zeek and/or NetFlow log data Help improve existing pipeline logic (cleaning, enrichment, labeling) Build and test supervised and unsupervised models for: Traffic classification (e.g., system personality or app type) Anomaly detection (e.g., port scanning, lateral movement) Baseline behavior for network segmentation enforcement Optionally develop output for visualization or SIEM dashboards Example Use Cases Classify device types based on observed connection patterns Detect rogue internal services using legacy or high-risk ports Map internal east-west traffic to segmentation policy gaps Identify abnormal DNS behavior and data exfiltration attempts Required Skills 3 - 5+ years of professional experience in Data Science, Machine Learning Engineering, or a related field Demonstrated experience working with real-world datasets, model deployment, and production-grade ML workflows Desired Skills Python (Pandas, Scikit-learn, Jupyter), some SQL Experience with GCP and implementing cloud-based ML systems Experience with Zeek, NetFlow, or PCAP-derived data Familiarity with cybersecurity principles (MITRE ATT&CK, segmentation, IDS logic) Bonus: TensorFlow/PyTorch, Docker, experience integrating with SIEMs or cloud logging platforms Experience with implementing LLMs in cloud production environments

Job Description APR Supply Co. is a century-strong leader in the HVAC and Plumbing distribution industry - and we're redefining how data powers our business. As part of our ongoing digital transformation, we're building a modern, AI-enabled data platform centered on Microsoft Fabric to unlock intelligent insights, automate operations, and elevate customer experience. We're seeking an accomplished Data Scientist to help architect and advance this platform-integrating structured and unstructured data, enabling intelligent analytics, and driving the adoption of AI technologies across the enterprise. This is a new, high-impact position with strong executive support and tremendous opportunity to shape the future of data and AI at APR. If you're a data innovator eager to build from the ground up-combining deep technical expertise with strategic influence-this is your chance to make a lasting mark. The Opportunity As APR's Data Scientist, you'll take the lead in developing our Microsoft Fabric-based data ecosystem, from data lake ingestion and transformation to the creation of advanced analytics and AI models. You'll play a hands-on role designing Power BI dashboards and semantic models, while also pioneering the use of multimodal RAG (Retrieval-Augmented Generation), Copilot-style assistants, and AI-driven enrichment of text, image, and video data. This is a greenfield opportunity to define data excellence at APR-turning raw information into real-time decision intelligence and next-generation automation. What You'll Do Develop and maintain our Microsoft Fabric data lake and pipelines (OneLake, Dataflows Gen2, Spark). Build high-performance Power BI models and dashboards that enable enterprise-wide analytics. Integrate structured and unstructured data (text, images, documents, video) into a unified data ecosystem. Contribute to AI-driven solutions, including Retrieval-Augmented Generation (RAG) and Copilot-style tools. Collaborate with cross-functional teams to turn raw data into strategic business insights. What You Bring 5+ years of experience in data science, analytics, or BI development. Strong hands-on skills with Power BI, SQL, and Python. Experience with Microsoft Fabric, Azure Data Factory, or Synapse Pipelines. Familiarity with AI, NLP, or unstructured data processing. Excellent communication skills and the ability to partner with technical and business leaders. Why Join APR Supply Co.? Build the Future: Lead the design of our next-generation AI and data platform. Innovate with Purpose: Apply advanced analytics and AI to solve real business challenges. High Visibility: Work directly with executive leadership to influence enterprise strategy. Career Advancement: Grow toward leadership in AI engineering, data architecture, or product analytics. Join us in shaping the data future of a century-old company transforming through innovation. #IND-APR #ZIP-APR

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing AI solutions - from predictive algorithms to agentic systems - into healthcare in a safe, ethical and cost-effective manner.This is a Stanford Health Care job. A Brief Overview The Data Scientist will be part of a team building Stanford Health Care's (SHC) solutions incorporating Artificial Intelligence including providing health care solutions in the areas of patient care, medical research and administrative services. This group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner. The individual will design, implement and support ML models for use in the clinic. Locations Stanford Health Care What you will do Build, deploy and maintain AI and ML enabled care workflows. This includes working with others at SHC to design and develop solutions to the problems undertaken by the Data Science group. Evaluate tools, platforms and strategies used by the Data Science group to manage the lifecycle of building models from healthcare data. Train, develop, and validate researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments. Education Qualifications PhD/MS degree in statistics, informatics or related field Experience Qualifications PhD: Experience preferred MS Degree: 4+ years of related experience with applied problems Required Knowledge, Skills and Abilities Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and experience in processing and analyzing healthcare data. Experience developing, evaluating, and implementing machine learning models. Experience working with clinicians and researchers across disciplines to develop approaches for use in clinical care. Experience working in cloud environments or working in a healthcare organization. Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics. Knowledge of software development, machine learning, and technology infrastructure Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks. Physical Demands and Work Conditions Blood Borne Pathogens Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family's perspective: Know Me: Anticipate my needs and status to deliver effective care Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $79.21 - $104.97 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

The Admissions & Data Coordinator plays a key role in supporting the admissions process through accurate data management and efficient administrative operations. This position is responsible for entering and maintaining student records, assisting with application processing, and ensuring the smooth day-to-day functioning of the undergraduate admissions office. Essential Functions: 1. Promote Franciscan ideals and adherence to the Mission of the University as demonstrated by the University Ideal Characteristics. As we are an equal opportunity employer committed to Franciscan values, all employees share responsibility for advancing diversity, equity, and inclusion in the performance of their roles while demonstrating: service orientation, respect for all, intellectual curiosity, solution focus and innovation, and mutual accountability. 2. Process and enter prospective student data accurately into undergraduate admissions CRM. 3. Manage Operations email inbox daily, and Admissions email inbox as needed. 4. Correct and update information of prospective student records. 5. Ensure confidentiality and security of student records. Additional Responsibilities: 1. Assist in the development and implementation of admissions related procedures and workflows. 2. Support event planning and student registration/check-in for admissions related events. 3. Operate Admissions van to transport prospective students and tour guide on tours, when needed. 4. Support the Welcome Center by providing front desk coverage during staff absences or peak periods. 5. Provide general support including answering phones, managing correspondence, and collaborating with other departments. Qualifications/Education: 1. 2+ Years of experience in administrative support, data entry, or admissions related roles. 2. Strong proficiency in Microsoft Office (Excel, Word, Outlook) and database management systems (Slate, PowerCampus, SoftDocs, Jenzabar, Citrix). 3. Excellent attention to detail and commitment to data accuracy. 4. Strong organizational and time-management skills. 5. Excellent written and verbal communication skills. 6. High School Diploma or equivalent; Associate's or Bachelor's degree preferred. 7. Ability to maintain confidentiality and handle sensitive information professionally. 8. Commitment to the mission statement, core values and goals of Alvernia University. 9. Valid Driver's License Physical Requirements: 1. Attendance is required in order to perform the duties of this job.

TAIT partners with artists, brands, IP holders and place makers to bring culture-defining, never-before-seen experiences to life. With a legacy of innovation spanning over 45 years, TAIT has grown from pioneering in rock 'n' roll concert staging to setting the global standard for extraordinary live events and experiences through cutting-edge technology, precision engineering, and creative design. TAIT's 20 global offices have developed iconic productions and experiences in over 30 countries, all seven continents, and even outer space for renowned performers, theme parks, exhibits, and venues across the globe, including partnerships with Taylor Swift, Cirque Du Soleil, Royal Opera House, Nike, NASA, Bloomberg, Google, Beyoncé, and The Olympics Internship Overview The TAIT Internship program is a fully immersive, experiential program. Interns are placed in a department based on their major and interests, but it is up to them to set goals and define their experience at TAIT. We take pride in pushing the boundaries of what's possible, and we're committed to nurturing emerging talent. We're excited to offer a unique and rewarding internship experience that goes beyond the typical coffee runs and photocopying tasks. We're looking for motivated and passionate individuals to join us on this journey of growth, learning, and achievement! Are you ready to roll up your sleeves, challenge yourself, and make a real impact? If so, you're the kind of intern we're looking for. At TAIT, we understand that internships are a two-way street. While you'll be gaining valuable experience, you'll also be contributing to our team and projects in meaningful ways. We encourage you to set your goals, develop your skills, and help shape your own experience. Position Details Position: Generative AI for Business Intern Job Specifications: The Generative AI Intern will work with TAIT's technology and business teams to leverage AI tools for creating, refining, and automating business requirements documentation. This role is hands-on and focused on producing high-quality deliverables that accelerate project scoping and improve requirement accuracy. + Location: West Lincoln Facility in Lititz, PA + Duration: June 2026 - August 2026 + Compensation: $18/hr. + Schedule: Interns are scheduled to work 40 hours per week on 1st shift dependent on projects and business needs + Eligibility: This role is open to U.S. Residents only + Intern Responsibilities: Qualifications To qualify for this internship, you must meet the following: Currently pursuing a degree or equivalent in a related field: + IT + Software + Data + Strong organizational and communication skills. + Ability to work independently and manage multiple tasks + Intern Responsibilities + **AI-Powered Requirement Generation** + Use Generative AI tools to draft initial business requirements for technology projects. + **Deliverable:** At least 3 complete requirement documents generated and validated by Week 6. + **Requirement Refinement & Validation** + Collaborate with stakeholders to review and refine AI-generated requirements for accuracy and completeness. + **Deliverable:** Finalized and approved requirement sets for assigned projects by Week 10. + **Template & Workflow Development** + Create standardized templates and workflows for AI-assisted requirement gathering. + **Deliverable:** Documented process guide and reusable templates by Week 11. + **Final Presentation** + Present findings, process improvements, and recommendations for scaling AI in requirements gathering. + **Deliverable:** Executive summary and live demo in Week 12. Potential Career Paths This position also provides a path for continued growth as a: Project Manager, Generative AI for Business, Developer Why Choose TAIT? + Housing: We offer a housing stipend our onsite interns in PA, NY, FL, CO, NV, and CA. This benefit applies to interns who live more than 50 miles from the worksite and would need to relocate to the area to complete their internship. + Gigs: You may be eligible for full time or part time conversion upon successful completion of your internship program* + Real-World Impact: Your work here won't just be busy work. You'll be an integral part of our team, contributing to projects that truly matter. Previous interns worked on actual projects that have been seen by millions of people! + Professional Growth: We're committed to helping you grow and learn. You'll gain hands-on experience in your chosen field and develop skills that will serve you well in your future career. + Mentorship: You won't be navigating this journey alone. Our team of experts will provide guidance, mentorship, and support to help you excel. + Innovation: We live on the cutting edge of innovation, and you'll be part of our team's creative solutions and groundbreaking ideas. + Networking: Build your professional network by connecting with industry leaders, fellow interns, and our experienced team. Are you ready to embark on a journey of growth, learning, and achievement? Join us and be a part of something special at TAIT. Your internship is not just a step in your career; it's a leap forward. Apply today! TAIT is an equal opportunity employer fully committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected characteristic as outlined by international, national, state, or local laws.

Job Description The Rodale research internship is an opportunity to get hands-on experience with field and lab agricultural research. The internship teaches aspiring researchers about organic regenerative agriculture, field research design, sampling and laboratory protocols, and basic data analysis. Rodale Institute's research focuses on innovative methods for reducing weed and pest issues, soil erosion, fossil fuel use, and greenhouse gas emissions; heightening nutrient and water use efficiencies; improving soil health; and increasing food security. Interns will work on all active projects and are critical to the completion of essential day-to-day research activities. The internship also includes access to educational material such as Rodale webinars and field events and discussions with consultants, scientists, and educators. Rodale's research trials Farming Systems Trial (FST) - the oldest continuous trial in the US comparing organic and conventional farming systems. Vegetable Systems Trial (VST) - comparing the impacts of organic and conventional farming practices on nutrient density in vegetables and linking nutrient density to soil health parameters. Integrated Weed Management Trials - studying organic methods to manage weeds, combining biological, cultural, physical, and chemical tools. Industrial Hemp Trials - investigating best agronomic practices for growing industrial hemp in PA and using it as a tool in organic farming systems. Additional field, greenhouse, and laboratory studies are also conducted. Responsibilities Interns spend most of their time conducting field and lab work. Responsibilities vary throughout the year, with a heavier emphasis on field work in the summer and fall and more lab work and maintenance in the winter. Interns typically perform the following tasks under the supervision of research technicians: Collect and process soil, plant, insect, grain, and produce samples using industry-standard protocols. Conduct soil analyses including bulk density, compaction, infiltration, etc. Conduct plant analyses including weed identification, stand counts, vegetable system pest scouting, etc. Lay out experimental field plots using GPS mapping, in-field measurements, and flagging. Assist with greenhouse seeding/transplanting and in-field transplanting. Tend and maintain field, greenhouse, and/or high tunnel experiments (using hand tools, weedwhackers, mowers, occasional weekend watering, etc.). Enter data precisely and in a timely manner for statistical analysis and interpretation. Complete and present an individual research project. Interns will work in conjunction with the project Principal Investigator on data analysis and presentation. Candidate qualifications Undergraduate or graduate degree, or undergraduate student with good academic standing from an accredited college or university A strong work ethic, initiative, and motivation Attention to detail and a high level of care The ability to work well individually and in a team environment Strong written and verbal communication skills Interest in regenerative agricultural issues, practices, and/or research Willingness to work indoors and outdoors in all weather conditions All applicants considered regardless of qualifications Additional Information Location: Rodale Institute Headquarters, 611 Siegfriedale Road, Kutztown, PA 19530 Compensation: Interns will be paid $15.00/hour. Organic produce from the farm is occasionally available during the growing season. Housing: Limited communal on-site housing is available for interns. You must notify us in advance if you need on-site housing. Schedule: Interns work full-time for 12-16 weeks. Internships are available for winter, summer, or fall (see chart below). Start and end dates are somewhat flexible. Deadlines: Application deadline is February 1, 2026 for a Summer Internship which runs from May through August. If you miss a deadline or are interested in an internship that does not meet the minimum duration, please contact us at ***********************************, as exceptions can sometimes be made based on the needs of the research department. Internship Season Timeframe Application Deadline Winter January - April October 1 Summer May - August February 1 Fall August - December June 1 Application Materials: Cover letter (including dates of availability and contact information for 3 references) Resume or CV Official or unofficial transcript(s) All qualified applicants will receive consideration for employment without regard to race, color, religious creed, ancestry, national origin, age, sex, sexual orientation, sexual identity or handicap. Powered by JazzHR Atjru9J2AS

Data Consultant - 87IB5E We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Hartford Funds is seeking a thoughtful and versatile Data Scientist to join our growing Emerging Tech and AI team. This role combines core modeling and analytics expertise with a strong awareness of modern AI, automation, and workflow technologies. Ideal candidates are hands-on with data, comfortable with ambiguity, and motivated to create value through intelligent systems and automation. Key Responsibilities Develop and deploy statistical and machine learning models to solve a range of business problems, including forecasting, classification, segmentation, and causal inference. Collaborate across business and technology teams to scope projects, identify opportunities, and deliver actionable insights. Contribute to AI and automation-related initiatives, helping evaluate and implement GenAI and workflow solutions. Support scalable data solutions using modern cloud tools and APIs, and help maintain analytical and data science codebases. Education & Experience Education Bachelor's degree in Statistics, Computer Science, Mathematics, or a related discipline. Master's degree in Statistics, Computer Science, Mathematics, or a related discipline. Experience Minimum 4 years of hands-on experience in data science or a related field. Preferred 6+ years of hands-on experience in data science or a related field. Required Skills Strong foundation in statistical modeling and machine learning, including regression, time series forecasting, tree-based algorithms, optimization, and causal analysis. You should be comfortable applying the right methods to the right problems. Strong Python and SQL. Familiarity with R is a plus, especially for supporting legacy code. Understanding of the Microsoft Copilot ecosystem; including Copilot Studio, Azure Foundry, and prompting best practices. Experience building or configuring Copilot agents is a huge plus. Experience working with Snowflake or a similar cloud data platform. Ability to work with APIs, write modular and reproducible code, and support basic data engineering tasks (e.g., pipeline design, version control). Preferred Qualifications Familiarity with robotic process automation tools such as UiPath, Power Automate, or similar platforms. Awareness of workflow automation tools (e.g., n8n, Apache Airflow, etc) and how they integrate with predictive models or LLMs. Understanding of how automation, GenAI, and decision systems can be orchestrated to create agentic or semi-autonomous solutions. Exposure to MLOps or DevOps practices such as CI/CD pipelines, model versioning, or containerization. General understanding of Salesforce and its role in enterprise data ecosystems. Additional Qualities We Value Strong communication skills with the ability to translate technical work into clear, business-relevant insights. Ability to balance hands-on technical development with broader strategic thinking. Curiosity about emerging technologies and a pragmatic approach to applying them in real business contexts. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $120,000 - $150,000 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. Eurofins is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. The Group also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to 55,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 50 countries. Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. Job Description Eurofins Biopharmaceutical is looking for an Associate Scientist to support Data Review of our Biochemistry team. The Associate Scientist position is considered an entry-level opportunity that will allow for hands on development and growth in day-to-day activities supporting a laboratory setting under prescribed processes (protocols, standard operating procedures, methods, etc.). The Data Review requirement of this position will also allow for development and assignment of responsibilities that include reviewing scientific reports under CGMP guidelines, assisting with internal audits, review of scientific reports to ensure regulatory requirements have been met, data tracking and reporting. This position will provide a balance schedule to support both laboratory and data tracking operations and is seeking a potential candidate that is interested in learning both aspects within a lab setting. Employee Responsibilities and Qualifications: Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations. Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility Experience in a laboratory setting or GMP pharmaceutical setting. Ensure that the client receives quality data by reviewing laboratory data for accuracy, clarity, and adherence to GMP and/or GLP regulations Review simple and complex routine and non-routine data (for three or more areas) according to departmental, corporate, and client SOPs; read and understand analytical procedures; ensure all work is performed according to GLP/GMP requirements and apply GLP/GMP in all areas of responsibility as appropriate Good organizational skills; ability to follow direction and good communication skills are required. Strong computer, scientific, and organizational skills. Excellent communication (oral and written) and attention to detail. Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude. Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies. Qualifications Minimum Qualifications: Bachelors Degree in a LIFE SCIENCE field such as Chemistry, Biochemistry, and Biology required Authorization to work in the United States indefinitely without restriction or sponsorship Additional Information Position is full-time, Monday-Friday, 8am - 4 pm., with additional hours, as needed. Candidates currently living within a commutable distance of Lancaster, Pennsylvania are encouraged to apply. This position is NOT remote. We offer excellent full-time benefits including: comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, dental and vision options. Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer. To learn more about Eurofins, please explore our website ****************** . Eurofins USA BioPharma Services is a Disabled and Veteran Equal Employment Opportunity employer.