Data scientist jobs in Allentown, PA

Hybrid (Bethlehem, PA) Contract Applicants must be authorized to work in the U.S. without sponsorship We're looking for a Senior Data Engineer to join our growing technology team and help shape the future of our enterprise data landscape. This is a hands-on, high-impact opportunity to make recommendations, build and evolve a modern data platform using Snowflake and cloud-based EDW Solutions. How You'll Impact Results: Drive the evolution and architecture of scalable, secure, cloud-native data platforms Design, build, and maintain data models, pipelines, and integration patterns across the data lake, data warehouse, and consumption layers Lead deployment of long-term data products and infuse data and analytics capabilities across business and IT Optimize data pipelines and warehouse performance for accuracy, accessibility, and speed Collaborate cross-functionally to deliver data, experimentation, and analytics solutions Implement systems to monitor data quality and ensure reliability and availability of Production data for downstream users, leadership teams, and business processes Recommend and implement best practices for query performance, storage, and resource efficiency Test and clearly document data assets, pipelines, and architecture to support usability and scale Engage across project phases and serve as a key contributor in strategic data architecture initiatives Your Qualifications That Will Ensure Success: Required: 10+ years of experience in Information Technology Data Engineering: professional database and data warehouse development Advanced proficiency in SQL, data modeling, and performance tuning Experience in system configuration, security administration, and performance optimization Deep experience required with Snowflake and modern cloud data platforms (AWS, Azure, or GCP) Familiarity with developing cloud data applications (AWS, Azure, Google Cloud) and/or standard CI/CD tools like Azure DevOps or GitHub Strong analytical, problem-solving, and documentation skills Experience in system configuration, security administration, and performance optimization Proficiency with Microsoft Excel and common data analysis tools Ability to troubleshoot technical issues and provide system support to non-technical users. Preferred: Experience integrating SAP ECC data into cloud-native platforms Exposure to AI/ML, API development, or Boomi Atmosphere Prior experience in consumer packaged goods (CPG), Food / Beverage industry, or manufacturing

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Guardian does business. Guardian's Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Guardian created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Guardian's transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Data Scientist, Agentic AI-an experienced individual contributor with strong experience in Agentic AI, large language models (LLMs), and natural language processing (NLP) and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Guardian operates, serves customers, and drives growth. You'll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Guardian's products and services. **You Will:** Key Responsibilities + Design and implement Agentic AI solutions that automate business workflows, improve decision-making, and enhance customer and employee experiences. + Apply LLMs and generative AI to process and interpret unstructured data such as contracts, underwriting notes, claims, medical records, and customer interactions. + Develop autonomous agents and reasoning systems that integrate with Guardian's platforms to deliver measurable business outcomes. + Collaborate with data engineers and AIOps teams to ensure models are scalable, robust, and production-ready. + Translate research in agentic AI and reinforcement learning into practical applications for underwriting, claims automation, customer servicing, and risk assessment. + Work closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact. + Contribute to the Data Science Lab by building reusable components and frameworks for developing and deploying agentic AI solutions. + Adhere to AI and LLM governance, documentation, testing, and other best practices in partnership with key stakeholders. **You are:** + Passionate about applying advanced AI techniques to solve real-world business challenges. + Curious about agentic AI, autonomous systems, and LLM-based solutions that transform industries. + A hands-on builder who enjoys moving solutions from prototype to deployment. + Comfortable collaborating in cross-functional teams and aligning technical solutions with business goals. **You have:** + PhD with 0-1 years of experience, Master's degree with 2+ years, or Bachelor's degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or related field. + Experience in insurance industry (Underwriting Experience is Preferred) + 2+ years of hands-on experience in AI/ML modeling and development. + Solid understanding of probability, statistics, and machine learning fundamentals. + Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, and LangGraph. + Experience with LLMs, generative AI, and multi-step reasoning systems. + Excellent problem-solving and analytical skills with attention to detail. + Strong communication skills and ability to collaborate effectively with product and engineering teams. + Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, ...). + Working knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. **Location:** + Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Bethlehem, PA, or Boston, MA **Work Authorization** + Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship now or in the future. **Salary Range:** $95,170.00 - $156,355.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. **Our Promise** At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. **Inspire Well-Being** As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at *********************************************** . _Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits._ **Equal Employment Opportunity** Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. **Accommodations** Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact *************. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. **Visa Sponsorship** Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. **Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.** Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com . Visa Sponsorship: Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship.

Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

Adelphi Research | Advanced Market Research Group (AMG) About the Role Adelphi Research is seeking a Research Scientist/Data Scientist to join our Advanced Market Research Group. You'll work directly with the Senior Statistician to execute pharmaceutical market research analytics while also contributing to our growing portfolio of AI-powered research tools. You'll spend significant time doing traditional statistical analysis for client projects (segmentation, conjoint analysis, message testing), but you'll also be a key contributor to building and testing new AI-enhanced methodologies and applications. If you're a strong quantitative researcher who's genuinely curious about AI's potential in market research-and has done some hands-on experimentation-this role offers a unique opportunity to shape the future of pharmaceutical insights. What You'll Do Client Analytics & Research Execution Execute advanced statistical analyses for pharmaceutical market research studies: Segmentation analysis (cluster analysis, latent class) Conjoint analysis (discrete choice, MaxDiff) Message testing and positioning research Key driver analysis and predictive modeling Perform data cleaning, weighting, and quality control for survey data Create professional client deliverables: Simulators in excel and R shiny, PowerPoint, Excel outputs, crosstabs, etc. Support project teams with statistical methodology recommendations Collaborate on study design, questionnaire development, and analytical plans AI Tool Development & Innovation Contribute to building and testing R Shiny applications that enhance our research capabilities Help develop AI-powered qualitative coding tools for open-ended survey responses Test and refine chatbot interfaces that help clients interact with their data Support validation studies for synthetic respondent methodologies (comparing AI-generated data to real respondent data) Integrate LLM APIs into existing workflows where appropriate Experiment with AI applications for research acceleration and automation Document findings, create user guides, and support internal adoption Required Qualifications Core Technical Skills Strong proficiency in R programming, including tidyverse ecosystem (dplyr, ggplot2, tidyr, purr, ellmer, vitals, ragnar) OR strong Python skills (pandas, scikit-learn) with willingness to become proficient in R R Shiny development experience Statistical methods: Applied experience with regression, clustering, factor analysis, conjoint/MaxDiff, or similar techniques Data manipulation: Comfortable working with complex survey data, messy datasets, weighting schemes Some programming experience beyond scripting: You've built something-a dashboard, an analysis pipeline, a tool-not just run one-off analyses AI Experience Evidence of hands-on experimentation with AI tools beyond consumer use. Built a small project using an LLM API (even if just a personal experiment) Created a prototype chatbot or AI-enhanced tool Worked through tutorials and actually implemented something with OpenAI/Anthropic/Google APIs Experimented with prompt engineering in a programmatic way Contributed to an AI-related project at work or school Foundation & Experience Master's degree in Statistics, Data Science, Biostatistics, Economics, or related quantitative field (PhD welcomed but not required) 2-4 years of experience in applied statistics, data science, or market research analytics Experience with survey research methodologies preferred Strong problem-solving skills and attention to detail Excellent communication skills-ability to explain technical concepts to non-technical audiences Comfort juggling multiple projects and shifting priorities Nice-to-Haves (Valued but Not Required) Domain & Methodology Experience in pharmaceutical or healthcare market research Understanding of survey design, sampling, and weighting approaches Familiarity with FDA regulations or pharmaceutical compliance considerations Background in segmentation, conjoint analysis, or MaxDiff studies Technical & Tools R package development or contribution to open-source projects Familiarity with Azure, Google Cloud, or AWS Python + R bilingual coding Exposure to Bayesian methods or probabilistic models Any experience with vector databases, RAG systems, or advanced AI architectures (rare but great if you have it) Experience translating SPSS workflows to R Learning & Development Work directly with Senior Statisticians leading our AI initiatives Exposure to diverse therapeutic areas across major pharmaceutical clients Hands-on experience building production AI tools in a regulated industry Professional development in both traditional research methods and emerging AI capabilities Our Working Environment You'll work directly with the Senior Statisticians and collaborate with: Project teams serving major pharmaceutical clients Data science colleagues across AMG Qualitative researchers and strategic consultants We value intellectual curiosity, pragmatic problem-solving, and a bias toward action. This is a role for someone who's equally comfortable running a factor analysis and experimenting with an LLM API-who sees the value in both rigorous statistical methods and emerging AI capabilities. Tech Stack: R (tidyverse, Shiny, tidymodels), Azure OpenAI APIs, Google Gemini APIs, Posit Connect. Open to strong Python developers willing to become R-proficient. To Apply: Please include any code samples, GitHub links, or portfolio pieces that demonstrate your analytical work. If you've built anything with AI/LLMs (even personal projects or experiments), we'd love to see it. The range below represents the low and high end of the base salary someone in this role may earn as an employee of an Omnicom Health Group company in the United States. Salaries will vary based on various factors including but not limited to professional and academic experience, training, associated responsibilities, and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire. $90,000 - $110,000 Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice .

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.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Principal Data Scientist, Real World Evidence (RWE). The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit *********************************** The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources, to support our clinical programs and regulatory submissions. The Principal Data Scientist will collaborate closely with strategic partners in R&D Data Science and Digital Health, as well as multidisciplinary teams within J&J Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Oncology, Immunology, or Neuroscience. Key Responsibilities: * Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets * Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data * End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation * Analyze and interpret data to support urgent requests from internal and external stakeholders * Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools * Create study protocols, statistical analysis plans, and statistical programming deliverables * Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making * Ensure RWE generation aligned with regulatory requirements and scientific standards Required Qualifications: * A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, Bioinformatics, or similar) * Relevant experience (2+ years for Ph.D., 4+ years for a master's) within biopharma companies, RWE consulting firms, or other relevant healthcare industries * Extensive hands-on experience with data engineering and data analysis * Proven track record of consistently delivering on high impact data science projects * Expert proficiency in R and SQL * Excellent interpersonal, communication, and presentation skills Preferred Qualifications: * Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting * Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (********************************) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: The anticipated base pay range for this position is : $115,000 - $197,800 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit *********************************** The Population Analytics and Insights, a part of Data Science and Digital Health at Johnson & Johnson Innovative Medicine, is recruiting a Senior Scientist to work on drug target identification/evaluation in Neuroscience therapeutic area. The primary location for this position is Spring House, PA, USA. No remote option is available for this position. The Data Science Analytics & Insights team develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven scientist who will work on analyzing large-scale genomics data to strengthen our research capacity in disentangling the molecular drivers of neuropsychiatric conditions aimed at pushing the boundaries of data-driven drug discovery using the cutting-edge computational and algorithmic tools. KEY RESPONSIBILITIES: This position is defined on two main contexts: (a) Neuropsychiatric conditions 1) identify genetically-driven therapeutic targets leveraging a wealth of biobank scale data such as genetics, proteomics and other omics data modalities (2) precision stratification of patients and characterize genomic manifestations of disease subtypes using a wide variety of large-scale biological data and computational methods; (b) on-target toxicity/liability assessment of neuroscience-related target genes using omics data and network-based models. The Senior Scientist will work closely with a team of scientists in disease genetics, computational genomics, AI and machine learning as well as neuroscience therapeutic area to design and implement computational pipelines, analyze and interpret the results, and communicate the findings through internal presentations, conferences and scientific publications. The senior scientist will also have opportunities to collaborate with other researchers and institutions on related projects: Conceive, develop, and implement analytical solutions to high-priority scientific projects. Continuous engagement and participation with scientists across JnJ to foster scientific collaborations and building a carrier network. Analyze the large-scale genetics, proteomics, and other omics data modalities using the advances statistical and computational methods. Publish findings in top-tier journals and conferences. QUALIFICATIONS: The successful candidate will have a strong background in bioinformatics, computational biology, or related fields, with experience of working with large-scale genetics data e.g. SNP array, WES/WGS and multi-omics data e.g., proteomics, transcriptomics etc. A Ph.D. in a quantitative field - Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, Computer Science, or related fields. 2-3 years of postgraduate scientific experience. A strong publication record in the relevant areas is required. Proficient in programming languages such as R/Python, bash, SQL, etc. Experience with multi-omics data integration, especially network analysis. Experience/knowledge of psychiatric conditions such as schizophrenia and bipolar disorder is a plus. Experience with bulk/single-cell transcriptomics, epigenomics, and proteomics is preferred. Excellent written and oral communication skills, and ability to effectively communicate technical findings with stakeholders. Ability to work independently and as part of a team. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (********************************) or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: Advanced Analytics, Business Intelligence (BI), Coaching, Collaborating, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis The anticipated base pay range for this position is : $109,000 - $174,800 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

Description SummaryThis position is NOT eligible for visa sponsorship. This role will specialize in building comprehensive data pipeline development and management, enabling our current Business Intelligence team to focus on analytics and business value while ensuring robust, scalable data integration solutions.Background and Current StateOur Business Intelligence team currently operates as a multi-disciplinary unit managing the complete data lifecycle from ingestion to visualization. The current structure requires our BI professionals to wear many hats, handling responsibilities that span data engineering, ETL/ELT development, data modeling, report creation, dashboard development, and business relationship management. While this approach has served us well in establishing our data capabilities, the increasing complexity of our data ecosystem and growing business demands have created capacity constraints and specialization challenges. Our data integration landscape has evolved significantly with the adoption of Qlik Data Integration and Qlik Talend Cloud Enterprise Edition. The current team's broad responsibilities limit the depth of specialization possible in any single area, particularly in the technical aspects of modern real-time data integration and the advanced features available in Qlik Talend Cloud Enterprise Edition. As our organization increasingly requires real-time analytics, operational reporting, and seamless data movement across hybrid cloud environments, we need dedicated expertise to ensure our Qlik platform delivers optimal performance and business value. Primary Job ResponsibilitiesData Integration Architecture and Engineering Develop and maintain ETL/ELT data pipelines leveraging Qlik Data Integration for data warehouse generation in bronze, silver, gold layers Build consumer facing datamarts, views, and push-down calculations to enable improved analytics by BI team and Citizen Developers Implement enterprise data integration patterns supporting batch, real-time, and hybrid processing requirements Coordinate execution of and monitor pipelines to ensure timely reload of EDW Technical Implementation and Platform Management Configure and manage Qlik Data Integration components including pipeline projects, lineage, data catalog, data quality, and data marketplace Implement data quality rules and monitoring using Qlik and Talend tools Manage Qlik Tenant, security, access and manage Data Movement Gate way Performance, Monitoring, Governance and Management Monitor and optimize data replication performance, latency, and throughput across all integration points Implement comprehensive logging, alerting, and performance monitoring Conduct regular performance audits and capacity planning for integration infrastructure Establish SLA monitoring and automated recovery procedures for critical data flows Collaboration and Enterprise Support Provide technical expertise on Qlik Data Integration best practices and enterprise patterns Support database administrators and infrastructure teams with replication and integration architecture Lead technical discussions on data strategy and platform roadmap decisions Key QualificationsRequired Skills Bachelor's degree in Computer Science, Information Systems, or related technical field 4+ years of experience in enterprise data integration with at least 2 years of hands-on Qlik or Talend experience Strong understanding of change data capture (CDC) technologies and real-time data streaming concepts Strong understanding of data lake and data warehouse strategies, and data modelling Advanced SQL skills with expertise in database replication, synchronization, and performance tuning Experience with enterprise ETL/ELT tools and data integration patterns Proficiency in at least one programming language (Java, Python, or SQL scripting) Preferred Qualifications Qlik Data Integration certification or Talend certification (Data Integration, Data Quality, or Big Data) Experience with cloud platforms (AWS or Azure) and hybrid integration scenarios Experience with Snowflake preferred Understanding of data governance frameworks and regulatory compliance requirements Experience with API management and microservices architecture Soft Skills Strong analytical and troubleshooting capabilities with complex integration challenges Excellent communication skills with ability to explain technical integration concepts to business stakeholders Collaborative approach with experience in cross-functional enterprise teams Detail-oriented mindset with commitment to data accuracy and system reliability Adaptability to evolving integration requirements and emerging technologies This position is NOT eligible for visa sponsorship. EEO Statement: Victaulic is an Equal Employment Opportunity (EOE/M/F/Vets/Disabled) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, gender, color, religion, national origin, age, disability, veteran status, sexual orientation, genetic data, or other legally protected status #TOP123 #LI-KM1 #LI-REMOTE Victaulic Staffing Partner Communication Policy All staffing agencies are strictly forbidden from directly contacting any Victaulic employees, except those within the Human Resources/Talent Acquisition team. All communications, inquiries and candidate submissions must be routed through Victaulic's Human Resources/Talent Acquisition team. Non-compliance with this policy may result in the suspension of partnership, cancellation of the current contract, and/or the imposition of a mandatory probation period before any future business can resume. Additionally, non-compliance may lead to a permanent ban on future business. This policy ensures a streamlined and compliant recruitment process.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description At least 5 years of pharmaceutical experience at Ph.D. level (or 8 years at MS level ) in biostatistics, statistics and epidemiology Excellent communication skills (verbal and written) Good team player Advanced level in SAS but not looking for a SAS programmer. Looking for a senior level statistician who is advanced in SAS programming. Additional Skills Extensive experiences in phase III trials, in particular, CV trials, for example familiar with statistical analysis plan, clinical study report, database, analysis data sets and statistical programming specification. Experiences in worldwide submission, in particular, PMDA in Japan providing statistical analysis for ad hoc requests Strong statistical training, in particular, survival analysis Leadership (establish priorities and objectives, implement actions and plans and always look for solutions independently) Proactive communication with project team members. Preferably some oncology experience Additional Information Best Regards, Anuj Mehta ************

Integrated Resources, Inc., is led by a seasoned team with combined decades in the industry. We deliver strategic workforce solutions that help you manage your talent and business more efficiently and effectively. Since launching in 1996, IRI has attracted, assembled and retained key employees who are experts in their fields. This has helped us expand into new sectors and steadily grow. We've stayed true to our focus of finding qualified and experienced professionals in our specialty areas. Our partner-employers know that they can rely on us to find the right match between their needs and the abilities of our top-tier candidates. By continually exceeding their expectations, we have built successful ongoing partnerships that help us stay true to our commitments of performance and integrity. Our team works hard to deliver a tailored approach for each and every client, critical in matching the right employers with the right candidates. We forge partnerships that are meant for the long term and align skills and cultures. At IRI, we know that our success is directly tied to our clients' success. Job Description Job Responsibilities: • Reporting into the Statistical Leader, provide statistical review, input, and interpretation statistical analysis plans, topline reports, clinical study reports, and publications • Author statistical analysis plans, top line reports, collaborate on clinical study reports, and provide guidance into the creation of the appendices thereof. • Independently develop and apply appropriate statistical modeling strategies for ad hoc, post hoc, and exploratory analyses. • These modeling strategies could be but not limited to non-linear regression, multivariate regression, simulations, bootstrap, classification and regression trees, meta-analysis, and other methodologies as appropriate. • Use wide variety of statistical graphics techniques to explore data, derive hypothesis for further studies and better understand and interpret results from clinical studies. Develop and apply statistical models for immune response and other vaccine related techniques such as Vaccine efficacy. • Author and present results for internal working groups. Review medical and statistical literature to keep abreast of the latest medical and statistical findings relevant to vaccine development. • Execute data analyses using appropriate software such as R, SAS, StatXact, FACT, ADDPLAN etc. Qualifications • Execute data analyses using appropriate software such as R, SAS, StatXact, FACT, ADDPLAN etc. • Use wide variety of statistical graphics techniques to explore data, derive hypothesis for further studies and better understand and interpret results from clinical studies. Develop and apply statistical models for immune response and other vaccine related techniques such as Vaccine efficacy. Phd Candidate preffered Additional Information Warm Regards, Jay Kaushik Clinical Recruiter Integrated Resources, Inc IT REHAB CLINICAL NURSING Inc. 5000 - 2007, 2008, 2009, 2010, 2011, 2012,2013 & 2014 (8th Year) Certified MBE I GSA - Schedule 66 I GSA - Schedule 621I I GSA - Schedule 70 Direct: (732) 429 1633 Tel:(732) 549 2030x211 Fax: (732) 549 5549 http://www.irionline.com

Responsible for statistical aspects of clinical and pre-clinical research projects including study design, sample size estimation, patient randomization, case report form development, writing statistical analysis plans, statistical analysis and interpretation of data, and reporting of results. Work with SAS programmers as part of a biostatistics team. Knowledge of applied parametric and nonparametric statistics, strong SAS programming skills, and the ability to translate client needs into statistical practice and the ability to educate clients in the use of statistics are essential. Skills: Excellent written and oral communication skills Knowledge of Microsoft Office applications Excellent interpersonal skills, great understanding of team-culture. Demonstrate a nature of proactively, enthusiasm, independent drive, and energetic outlook to tasks Exceptional organizational skills, Works towards and meets deadlines Ability to collaborate, build strong partnerships/relationships with all stakeholders The candidate must be willing to take on additional projects and work overtime Qualifications Yrs of Experience: Candidate with 2+ years experience conducting statistical analysis of clinical research data. Experience using SAS, Oracle Clinical, and/or ClinTrial. Education: Typically has a Masters or a Ph.D. degree in statistics, biostatistics, or related field. | Additional Information All your information will be kept confidential according to EEO guidelines.

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.

Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Guardian does business. Guardian's Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Guardian is seeking experienced individual contributor with a strong background and expertise in production ready AI/ML solutions with a track record of delivering enterprise level AI/ML solutions and products. In this role as Senior Data Scientist, you'll be working in a team of Data Scientists led by Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups. Successful candidates have strong technical foundation, excel in coding, detail oriented, and have passion for analytical thinking and problem solving. **You Will:** + Lead use case/workstream with junior data scientists + Contribute to the end-to-end model lifecycle, including data exploration and understanding, feature engineering, model training and validation, ensuring quality, security, scalability, and fairness + Support use case development that includes initial project scoping, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation + Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets + Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs + Identification of source data and data quality checks both in model/solution development and in production + Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps + Implement new statistical or other mathematical methodologies as needed for specific models or analysis. + Propose innovative ways to look at problems through using data mining and data visualization + Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. + Present information using data visualization techniques; communicate results and ideas to key decision makers. + Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies + Adhere to model governance, documentation, testing, and other best practices in partnership with key stakeholders. + Consistent accuracy and thoroughness in performing work assignments + Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities + Contribute to standardization of Data Science tools, processes, and best practices + Build LLM/AI powered application prototypes with lightweight UI (e.g., Streamlit) to validate usability and support adoption. **You are:** + Passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. + Analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. + Enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. + Enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. **You have:** + PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field + Experience in Insurance Underwriting + 3+ years of hands-on ML modeling/development experience + Background in insurance and underwriting preferred + Solid understanding of data analysis and statistical modeling. + Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. + Demonstrated track records in experimental design and executions + Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions + Strong programming skills in Python + Solid background in algorithms and a range of ML models + Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level + Excellent analytical and problem-solving abilities with superb attention to detail + Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success + Experience communicating complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners. + Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, ...). + Working knowledge of NLP, LLMs, RAG architecture, and agent frameworks, including safe automation design and evaluation systems. + Experience in insurance, financial services, or related industries is a plus **Location:** + Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Bethlehem, PA, or Boston, MA **Work Authorization** + Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship now or in the future. **Salary Range:** $118,980.00 - $195,465.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. **Our Promise** At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. **Inspire Well-Being** As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at *********************************************** . _Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits._ **Equal Employment Opportunity** Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. **Accommodations** Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact *************. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. **Visa Sponsorship** Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. **Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.** Every day, Guardian helps our 29 million customers realize their dreams through a range of insurance and financial products and services. Our Purpose, to inspire well-being, guides our dedication to the colleagues, consumers, and communities we serve. We know that people count, and we go above and beyond to prepare them for the life they want to live, focusing on their overall well-being - mind, body, and wallet. As one of the largest mutual insurance companies, we put our customers first. Behind every bright future is a GuardianTM. Learn more about Guardian at guardianlife.com . Visa Sponsorship: Guardian Life is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Principal Data Scientist, Real World Evidence (RWE). The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit *********************************** The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources, to support our clinical programs and regulatory submissions. The Principal Data Scientist will collaborate closely with strategic partners in R&D Data Science and Digital Health, as well as multidisciplinary teams within J&J Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Oncology, Immunology, or Neuroscience. Key Responsibilities: * Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets * Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data * End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation * Analyze and interpret data to support urgent requests from internal and external stakeholders * Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools * Create study protocols, statistical analysis plans, and statistical programming deliverables * Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making * Ensure RWE generation aligned with regulatory requirements and scientific standards Required Qualifications: * A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, Bioinformatics, or similar) * Relevant experience (2+ years for Ph.D., 4+ years for a master's) within biopharma companies, RWE consulting firms, or other relevant healthcare industries * Extensive hands-on experience with data engineering and data analysis * Proven track record of consistently delivering on high impact data science projects * Expert proficiency in R and SQL * Excellent interpersonal, communication, and presentation skills Preferred Qualifications: * Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting * Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (********************************) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: The anticipated base pay range for this position is : $115,000 - $197,800 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

is NOT eligible for visa sponsorship. This role will specialize in building comprehensive data pipeline development and management, enabling our current Business Intelligence team to focus on analytics and business value while ensuring robust, scalable data integration solutions. Background and Current State Our Business Intelligence team currently operates as a multi-disciplinary unit managing the complete data lifecycle from ingestion to visualization. The current structure requires our BI professionals to wear many hats, handling responsibilities that span data engineering, ETL/ELT development, data modeling, report creation, dashboard development, and business relationship management. While this approach has served us well in establishing our data capabilities, the increasing complexity of our data ecosystem and growing business demands have created capacity constraints and specialization challenges. Our data integration landscape has evolved significantly with the adoption of Qlik Data Integration and Qlik Talend Cloud Enterprise Edition. The current team's broad responsibilities limit the depth of specialization possible in any single area, particularly in the technical aspects of modern real-time data integration and the advanced features available in Qlik Talend Cloud Enterprise Edition. As our organization increasingly requires real-time analytics, operational reporting, and seamless data movement across hybrid cloud environments, we need dedicated expertise to ensure our Qlik platform delivers optimal performance and business value. Primary Job Responsibilities Data Integration Architecture and Engineering * Develop and maintain ETL/ELT data pipelines leveraging Qlik Data Integration for data warehouse generation in bronze, silver, gold layers * Build consumer facing datamarts, views, and push-down calculations to enable improved analytics by BI team and Citizen Developers * Implement enterprise data integration patterns supporting batch, real-time, and hybrid processing requirements * Coordinate execution of and monitor pipelines to ensure timely reload of EDW Technical Implementation and Platform Management * Configure and manage Qlik Data Integration components including pipeline projects, lineage, data catalog, data quality, and data marketplace * Implement data quality rules and monitoring using Qlik and Talend tools * Manage Qlik Tenant, security, access and manage Data Movement Gate way Performance, Monitoring, Governance and Management * Monitor and optimize data replication performance, latency, and throughput across all integration points * Implement comprehensive logging, alerting, and performance monitoring * Conduct regular performance audits and capacity planning for integration infrastructure * Establish SLA monitoring and automated recovery procedures for critical data flows Collaboration and Enterprise Support * Provide technical expertise on Qlik Data Integration best practices and enterprise patterns * Support database administrators and infrastructure teams with replication and integration architecture * Lead technical discussions on data strategy and platform roadmap decisions Key Qualifications Required Skills * Bachelor's degree in Computer Science, Information Systems, or related technical field * 4+ years of experience in enterprise data integration with at least 2 years of hands-on Qlik or Talend experience * Strong understanding of change data capture (CDC) technologies and real-time data streaming concepts * Strong understanding of data lake and data warehouse strategies, and data modelling * Advanced SQL skills with expertise in database replication, synchronization, and performance tuning * Experience with enterprise ETL/ELT tools and data integration patterns * Proficiency in at least one programming language (Java, Python, or SQL scripting) Preferred Qualifications * Qlik Data Integration certification or Talend certification (Data Integration, Data Quality, or Big Data) * Experience with cloud platforms (AWS or Azure) and hybrid integration scenarios * Experience with Snowflake preferred * Understanding of data governance frameworks and regulatory compliance requirements * Experience with API management and microservices architecture Soft Skills * Strong analytical and troubleshooting capabilities with complex integration challenges * Excellent communication skills with ability to explain technical integration concepts to business stakeholders * Collaborative approach with experience in cross-functional enterprise teams * Detail-oriented mindset with commitment to data accuracy and system reliability * Adaptability to evolving integration requirements and emerging technologies This position is NOT eligible for visa sponsorship. EEO Statement: Victaulic is an Equal Employment Opportunity (EOE/M/F/Vets/Disabled) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, gender, color, religion, national origin, age, disability, veteran status, sexual orientation, genetic data, or other legally protected status #TOP123 #LI-KM1 #LI-REMOTE Victaulic Staffing Partner Communication Policy All staffing agencies are strictly forbidden from directly contacting any Victaulic employees, except those within the Human Resources/Talent Acquisition team. All communications, inquiries and candidate submissions must be routed through Victaulic's Human Resources/Talent Acquisition team. Non-compliance with this policy may result in the suspension of partnership, cancellation of the current contract, and/or the imposition of a mandatory probation period before any future business can resume. Additionally, non-compliance may lead to a permanent ban on future business. This policy ensures a streamlined and compliant recruitment process.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ******************* Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Cincinnati, Ohio, United States of America, Raritan, New Jersey, United States of America Job Description: We are searching for the best talent for a Lead Data Insights Engineer. The preferred location for this role is Raritan, NJ however candidates within a commutable distance of Cincinnati, OH will also be considered . This role will work a Flex/Hybrid schedule with 3 days per week in office. There is NO remote option. Please Note: Relocation Assistance is not available for this role. Purpose: The Lead Data Insights Engineer will play a pivotal role & be responsible for architecting, developing, & maintaining the Gold Layer ETL processes that transform raw data into actionable business insights within our intelligence ecosystem. This role orchestrates complex end-to-end data pipelines, ensuring seamless integration between upstream Bronze/Silver layers & downstream analytics, while enforcing data governance, lineage, & scalability. The engineer will design & optimize business bays, defining data sources, transformation rules, & dynamic aggregation logic to support granular reporting. A key focus is collaborating with the “Center” Data Strategy team to align upstream processes, minimize technical debt, & future-proof. Additionally, the role will partner with business stakeholders (Marketing, Sales, Key Account Management) to co-prioritize data needs, build insights, & drive adoption of self-service analytics platforms. The engineer will partner with Data Science to innovate with AI/ML automation for data governance, work closely with IT to deploy scalable solutions, & ensure compliance with regulatory standards. By staying ahead of cloud analytics & AI trends, this role champions automation, eliminates manual inefficiencies, & enhances the intelligence ecosystem's performance, ultimately enabling strategy & insights-driven decision making & commercial execution across the organization. You will be responsible for: Data Management & ETL Orchestration: Direct & innovate the end-to-end orchestration of the Gold layer ETL processes, owning complete Data Cleansing, Validation, Standardization, Enrichment, Aggregation & Formatting, ensuring performance, security, & scalability. Build & maintain individual business bays with necessary data tables & business rules, logic, & mappings to transform raw data into dynamic insights. Apply advanced data management techniques to aggregate & disaggregate insights dynamically, facilitating where possible granular levels of reporting. Clearly document & organize data flow mapping, ensuring data lineage, storage, process, dependencies, integrity & governance are maintained throughout the transformation process. Build, Foster & Maintain Key Partnerships: Collaborate with the “Center” Data Strategy to identify data gaps, understand existing Enterprise Data Lakes' Bronze & Silver layer ETL processes & leverage extractions from upstream data tables, proactively future proofing to minimize maintenance efforts. Engage the Business (Marketing, Sales, Key Account Management, Digital) to prioritize & define sources, requirements, rules, logic, & mapping for transforming raw data into dynamic insights, while providing fresh perspective of what else is possible. Innovate with Data Science in ways to automate Data Governance of Business Mappings through AI/ML. Co-shape with IT loading requirements for dynamic insights into a self-service platform & Commercial Intelligence Database. Drive user acceptance & adoption in the utilization of the source of truth for Commercial Intelligence, Strategic Targeting, & Data Products Ecosystem (analytics, dashboards, & reports). Communicate & cooperate with Legal, Privacy, & Compliance partners in alignment of all insights. Consistent Learning & Innovation Champion: Stay ahead of industry trends in data engineering, cloud analytics, and AI-driven insights. Drive best practices in data management & recommend fresh approaches to enhance data solutions. Develop business knowledge and understanding of JJMT processes and capabilities specific to market, competitive, and procedure volume datasets. Champion automation & foster a cooperative environment conducive to innovation. Responsible for ensuring personal & Company compliance with all Federal, State, local & Company regulations, policies, & procedures, as well as upholding all values of the J&J Credo. Qualifications / Requirements: Minimum of a Bachelor's Degree is required, Advanced Degree strongly preferred . Statistics, Mathematics, Data Science, Computer Science or related field is required. At least 3-5 years of post-academic work/industry experience is required; medical technology or healthcare field is highly desired . Proficiency in Data Modeling (Azure, Data Factory, Databricks, Purview) is required. Proficiency in ETL orchestration (Azure DevOps, CI/CD Pipelines) is required. Proficiency in complex data transformation (SQL, Alteryx, Python, SAS, R) is required. Experience in data flow mapping & advanced data visualization tools (Power BI, Tableau) is required. Advanced Excel, PowerPoint and strong data management skills are required. Understanding Data Models, MDM, Data Governance frameworks, integrating diverse data sources & building self-service analytics platforms is required. Attention to detail and with extensive experience in aggregating data and formulating insights is required. Experience with Microsoft Azure, Fabric, OneLake & PowerBI is highly preferred . Experience in Medical Technology is highly preferred . Proven leadership ability & driver of cross-functional collaboration is required. Excellent verbal & written communication skills, particularly in presenting technical information to non-technical stakeholders, is required. Effective project management skills with experience managing multiple projects simultaneously is required. Strong intuition to proactively identify current problems & gaps to effectively minimize future maintenance is required. Results oriented, a strong demonstration of translating business strategy into business insights is highly preferred. Experience with Commercial systems (Compensation, Sales Analytics, Contracting systems) is preferred. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via *******************/contact-us/careers or contact AskGS to be directed to your accommodation resource. #LI-Hybrid Required Skills: Preferred Skills: The anticipated base pay range for this position is : The base pay range for this position is $91,000 to $147,200. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. *********************************************

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description At least 5 years of pharmaceutical experience at Ph.D. level (or 8 years at MS level ) in biostatistics, statistics and epidemiology Excellent communication skills (verbal and written) Good team player Advanced level in SAS but not looking for a SAS programmer. Looking for a senior level statistician who is advanced in SAS programming. Additional Skills Extensive experiences in phase III trials, in particular, CV trials, for example familiar with statistical analysis plan, clinical study report, database, analysis data sets and statistical programming specification. Experiences in worldwide submission, in particular, PMDA in Japan providing statistical analysis for ad hoc requests Strong statistical training, in particular, survival analysis Leadership (establish priorities and objectives, implement actions and plans and always look for solutions independently) Proactive communication with project team members. Preferably some oncology experience Additional Information Best Regards, Anuj Mehta ************

Responsible for statistical aspects of clinical and pre-clinical research projects including study design, sample size estimation, patient randomization, case report form development, writing statistical analysis plans, statistical analysis and interpretation of data, and reporting of results. Work with SAS programmers as part of a biostatistics team. Knowledge of applied parametric and nonparametric statistics, strong SAS programming skills, and the ability to translate client needs into statistical practice and the ability to educate clients in the use of statistics are essential. Skills: Excellent written and oral communication skills Knowledge of Microsoft Office applications Excellent interpersonal skills, great understanding of team-culture. Demonstrate a nature of proactively, enthusiasm, independent drive, and energetic outlook to tasks Exceptional organizational skills, Works towards and meets deadlines Ability to collaborate, build strong partnerships/relationships with all stakeholders The candidate must be willing to take on additional projects and work overtime Qualifications Yrs of Experience: Candidate with 2+ years experience conducting statistical analysis of clinical research data. Experience using SAS, Oracle Clinical, and/or ClinTrial. Education: Typically has a Masters or a Ph.D. degree in statistics, biostatistics, or related field. | Additional Information All your information will be kept confidential according to EEO guidelines.

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. About Penske Truck Leasing/Transportation Solutions Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 100 Kachel Boulevard Primary Location: US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID: 2512517