Data scientist jobs in Bethlehem, 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

This is a direct hire full-time position, with a hybrid on-site 2 days a week format. YOU MUST BE A US CITIZEN OR GREEN CARD, NO OTHER STATUS TO WORK IN THE US WILL BE PERMITTED YOU MUST LIVE LOCAL TO THE AREA AND BE ABLE TO DRIVE ONSITE A MIN TWO DAYS A WEEK THE TECH STACK WILL BE: 7 years demonstrated server-side development proficiency 5 years demonstrated server-side development proficiency Programming Languages: Python (NumPy, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.) Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.) Data structures: maps, lists, arrays, etc SCM: solid Git proficiency, MS Azure DevOps (CI/CD)

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 .

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.

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. *********************************************

This position is for an Assistant Actuary. The role is based in our Whitehouse Station, NJ office, however there is flexibility to fill this position in either our Philadelphia, PA or Jersey City, NJ locations for exceptional candidates. This Assistant Actuary position will play a key role in supporting the Property pricing unit of Commercial Insurance (CI) Actuarial, focusing on Package Property and Monoline Property lines of business with additional opportunity to support Marine lines. This position offers broad exposure to various functions across the organization including underwriting, product development, analytics/data science, and rating implementation. The role will also involve collaboration with cross-functional teams and participation in strategic initiatives to enhance pricing capabilities and portfolio performance. Responsibilities: Conduct annual trend analyses and profitability studies and ad-hoc deep dives across granular dimensions to inform pricing strategies. Participate in rating implementation and governance process of externalized rating platforms and provide actuarial production support for existing rating implementations Develop portfolio management capabilities to monitor pricing model performance, achieved rate changes, new business adequacy, business mix, and other metrics in real time. Support actuarial state filings, review competitor filings, and ensure compliance with regulatory requirements. Work with analytics, data science, and other actuarial teams to develop predictive modeling capabilities and establish a rigorous model refresh process. Collaborate with reinsurance pricing teams to support treaty renewals. Provide monthly, quarterly, and annual reporting for price monitoring and actual vs. expected analyses. Qualifications: BS/BA Degree or higher in Mathematics, Actuarial Science, Statistics, Finance, or a related field 4+ years of actuarial experience ACAS or FCAS designation Proficiency in a programming language such as Python or R Experience with relational databases, and strong ability to write complex queries in SQL Familiarity with concepts in statistics and data science Ability to work independently and communicate ideas effectively Well organized and able to maintain good documentation and record keeping Desire to work in a fast-paced, fluid environment with a focus on innovation and continuous improvement. The pay range for the role is $117,000 to $170,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.

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.

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.

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 Senior Data Scientist, Agentic AI-an experienced individual contributor with deep expertise in Agentic AI, large language models (LLMs) with a track record of delivering enterprise level AI/ML solutions and products., and natural language processing (NLP). In this role, you will be working in a team led by a Lead Data Scientist to develop and deploy advanced agentic AI and LLM-powered solutions that automate business workflows, enhance decision-making, and deliver measurable business outcomes. 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:** Key Responsibilities + Lead the design and implementation of agentic AI solutions and LLM-powered applications that automate business processes and improve customer and employee experiences. + Drive the end-to-end model lifecycle: data exploration and preparation, model finetuning, validation, deployment, and monitoring, ensuring quality, security, scalability, and fairness. + Apply LLMs and generative AI to process and interpret unstructured data (e.g., insurance applications, underwriter's notes, medical records, customer interactions). + Develop autonomous agents, multi-step reasoning systems, and advanced NLP pipelines that integrate with Guardian's platforms. + Translate research in agentic AI, LLMs, and reinforcement learning into practical, production-ready solutions for underwriting automation, claims automation, customer servicing, and risk assessment. + Collaborate with data engineers, MLOps/AIOps, and product teams to ensure robust, scalable, and maintainable solutions. + Contribute to standardization of tools, processes, and best practices. + Adhere to AI/LLM governance, documentation, testing, and other best practices in partnership with key stakeholders. + Present results and recommendations to technical and non-technical audiences, including senior leadership. + Stay current on industry trends, emerging technologies, and best practices in agentic AI, LLMs, and NLP. **You are:** + Passionate about applying advanced AI techniques-especially agentic AI, LLMs, and NLP-to solve real-world business challenges. + Analytical, intellectually curious, and experienced in leading the development and implementation of data and analytic solutions. + A hands-on builder who enjoys moving solutions from prototype to deployment and seeing them deliver value in production. + Comfortable collaborating in cross-functional teams and aligning technical solutions with business goals. + An effective communicator, able to present complex ideas and trade-offs to both technical and non-technical stakeholders. **You have:** + PhD with 2+ years, Master's with 4+ years of experience in Computer Science, Engineering, Statistics, Applied Mathematics, or related field. + Experience in Insurance Underwriting + 3+ years of hands-on experience in AI/ML modeling and development, with a primary focus on agentic AI, LLMs, and NLP. + Background in insurance and underwriting preferred + Deep expertise in LLMs, generative AI, agentic systems, NLP, and multi-step reasoning architectures (e.g., LangGraph, RAG, agent frameworks). + Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain. + Demonstrated experience building, fine-tuning, and deploying LLMs and NLP solutions in production environments. + Working knowledge of classical machine learning techniques (e.g., clustering, regression, XGBoost, Random Forest, decision trees) and their practical applications. + Experience with data wrangling, distributed computing, and applying parallelism to ML solutions. + 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 + Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, CI/CD). + Excellent analytical, problem-solving, and communication skills. + 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. *********************************************

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 ************

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: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America Job Description: Data Lake Engineer and Solution Architect, R&D Therapeutics Discovery 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 *******************. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine We are searching for the best talent for Data Lake Engineer and Solution Architect, R&D Therapeutics Discovery in Spring House, PA or Beerse, Belgium. The Data Lake Engineer and Solution Architect is responsible for designing, optimizing, and operationalizing the data lake to serve high-dimensional biology teams, including High-Content Imaging, High-Throughput Transcriptomics, High-Throughput Proteomics among others. The candidate will optimize data models for high-dimensional biology data teams, make high-dimensional data AI/ML ready, tune storage and query performance for large-scale combined analyses across high-dimensional modalities, and deliver a standardized API for programmatic access. What You'll Do Design scalable data models and optimize schemas for high-dimensional biological data. Architect and tune data lakes for performance and cost efficiency. Develop standardized APIs and SDKs for secure, streamlined data access. Collaborate with scientific teams and vendors to deliver platform capabilities. Maintain documentation and train users on best practices. Implement governance, security, and compliance frameworks. What We're Looking For Degree in Computer Science, Data Engineering, Bioinformatics, or related field; advanced degree (MS/PhD) preferred. 7+ years in data/platform engineering, including 3+ years with data lakes. Experience with biological data (omics, imaging) and analytic workflows. Hands-on expertise with Snowflake, SQL at scale, and cloud platforms. Strong programming and scripting skills (Python, SQL), and pipeline orchestration tools. Proven ability to design APIs and communicate technical trade-offs effectively. Core Expertise Data modeling and schema optimization. Performance tuning for data lakes and queries. API development and secure data access. Governance, lineage, and metadata management. Cloud-based data platforms and orchestration tools. Programming in Python and SQL. Preferred Qualifications Familiarity with ML infrastructure and feature stores. Advanced Snowflake optimization and cost-control strategies. Knowledge of data catalog tools and metadata standards. Experience with containerization and CI/CD for data pipelines. Background in omics or high-dimensional imaging pipelines. Required Skills: Preferred Skills: Advanced Analytics, Agility Jumps, Consulting, Continuous Improvement, Critical Thinking, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Execution Focus, Hybrid Clouds, Mentorship, Tactical Planning, Technical Credibility, Technical Development, Technical Writing, Technologically Savvy The anticipated base pay range for this position is : . Additional Description for Pay Transparency: .

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:** 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. *********************************************

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: R&D Operations Job Sub Function: Laboratory Operations Job Category: Professional All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at *******************/innovative-medicine We are searching for the best talent for a Laboratory Operations Analyst II, Automation Engineer to be located in Spring House, PA. Purpose: This position is part of the global Discovery, Product Development & Supply (DPDS) Operations Team responsible for operations within the Therapeutic Discovery (TD) and Preclinical Safety and Translational Sciences (PSTS) organizations. The Lab Operations team in DPDS Operations looks after the lab workspace and equipment to enable the scientists to focus on their science using a knowledge of project management, drug discovery instrumentation and automation, and process excellence to evaluate, develop and deliver drug discovery laboratory processes and infrastructure. The candidate will work effectively in multi-disciplinary teams and collaborate with internal and external partners - such as IT, Safety, Engineering, Facility Management - thus ensuring flawless execution of all projects and processes connected to the lab workspace and automation in particular. The function requires a hands-on mentality and the ability to work autonomously for longer term activities independently adapting to project developments and proposing next steps. This role focuses on the configuration of laboratory instruments and the implementation of automated scientific workflows. You will support laboratory automation across discovery fields, reduce manual data entry and human intervention between instruments and software. In addition, you will contribute to event-driven architectures and automated data quality control and validation with ubiquitous tracking of completeness, consistency, validity, and accuracy over time. You will be responsible for: Designing and implementing automated lab instrumentation and workflows that span hardware, software, and data layers, liaising with fellow team/project members, scientists, IT and automation engineers and following procedures, priorities and timelines. Maintaining computer and automation systems, including system upgrades and issue resolution. Supporting the development of event-driven data pipelines that respond to instrument events, runs, and results. Safeguarding a steady and ongoing relationship with scientific and IT staff for efficient operation, improved automation, and workflow process improvements. Translating and scripting R&D processes on automated platforms. Reviewing, authoring, and updating department policy/procedures as required. Observing and applying general laboratory safety standards. Qualifications / Requirements: Education: A minimum of a Bachelor's degree in Engineering, Computer Science, Life Sciences or a closely related field with at least 9 years of experience OR a Master's degree with 6+ years of experience is required. Experience and Skills:Required: A minimum of 5 years of experience in automation operation and platform management is required. 3+ years of experience in the biological, medical device or pharmaceutical field is required. Proven track record with advanced automation platforms in laboratory or research environments; familiarity with laboratory instrumentation and analytical techniques is required. Systems & Integration: Broad experience with robotics, LIMS/ELN, data management systems, and end-to-end system integration (scheduling software, APIs, middleware, data exchange) is required. Experience in/understanding of basic concepts in a biological and or chemical laboratory is required, as well as a background in and keen interest in biological and chemical R&D processes. Must have a solid understanding of Machine Safety and compliance requirements. Strong interpersonal communication skills, effective organization, communication and customer service skills are required. Strategic and critical thinking, prioritization, and ability to implement on those strategies is required. Preferred: Proven project management success and change management experience is highly preferred. Solid working knowledge of laboratory or highly controlled facilities operations, information systems, instrumentation, automation, safety, and compliance are highly preferred. Knowledge of LIMS/ELN systems, data visualization, and analytics toolsets; experience with programming languages and scripting for automation is preferred. Cloud and data: Experience with cloud platforms (AWS, Azure) and data orchestration/workflow tooling is preferred. Data governance: Strong understanding of data integrity, lineage, security frameworks, and scalable data architectures 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, external applicants please contact us via *******************/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource. #LI-Onsite Required Skills: Preferred Skills: Analytical Reasoning, Business Behavior, Coaching, Communication, Data Management and Informatics, Data Savvy, Ethical and Participant Safety Considerations, Inventory Management, Laboratory Operations, Laboratory Safety, Mental Agility, Molecular Diagnostics, Preclinical Research, Problem Solving, Research and Development, Toxicology, Use of Laboratory Equipment