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Job DescriptionCompany Description The work we do at Eurofins Professional Scientific Services matters, and so do our employees. At Eurofins PSS, we put a focus on your professional growth. We provide our employees the ability to break into the biopharmaceutical industry and grow from the bottom up. We have the supportive teams and tools available to invest in you while also affording you work-life balance and a competitive benefits package. Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins believes it is a global leader in food, environmental, pharmaceutical and cosmetics products testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies. If you’re looking for a rewarding career, a place to call home, apply with us today! Job Description POSITION SUMMARY: We have an exciting opportunity for a Senior Scientist Group Leader to support and lead a team supporting our client in analytical testing and implementation of novel analytical methodologies for our client's CAR-T cell therapy products. This team will work with a talented and experienced client team in Research and Development and will be important points of contact for the coordination and execution of molecular, potency and characterization assays, qualification studies, and method transfer activities within area of expertise. This team will interface regularly and build relationships with other functions at the client site such as Process Development, Quality Control and Manufacturing Sciences & Technology to collaboratively drive projects to meet the established timelines while maintaining the highest quality and data integrity standards. POSITION RESPONSIBILITIES: • Perform analytical testing including flow cytometry, cell count, cell viability, qPCR/dPCR, ELISA, potency, etc. following appropriate SOPs and procedures. In addition, review and approve data by other team members, • Supervise PSS team, • Record and maintain meticulous records in electronic laboratory notebook in compliance with Quality standards, • Identify opportunities for method improvement, • Execute qualification/optimization of analytical methods, • Drive project timelines and deliverables while meeting internal quality and data integrity requirements, • Communicate effectively and present complex data within the department and cross-functionally, • Author and review method related technical documents to ensure completeness, accuracy, consistency and clarity, • Support tracking and trending systems, and programs, which assist in the testing, evaluation and monitoring of quality and efficiencyQualifications BASIC MINIMUM QUALIFICATIONS: • BS in biology, chemistry, biochemistry, microbiology or other related science with 5+ years industry experience or MS and 3+ years of industry experience, • Leadership skills, • Understanding of the basic scientific principles underpinning the analytical methods such as flow cytometry, PCR, ELISA, cell-based assays, • Expertise with aseptic technique, • Ability to communicate clearly with internal or cross-functional teams, • Detail-oriented with expertise in problem solving & demonstrated ability to work in a team environment, • Established ability to work in a regulated environment, • Good presentation skills and scientific/technical writing skills, • Understanding of the concepts of cGxP, • Experience with mammalian cell culture, Human T-cell culture, • Experience writing laboratory SOPs and technical instructions, • 3-5 years of experience in pharmaceutical, biologics industry Additional Information Position is Full Time, Monday – Friday First Shift. Candidates currently living within a commutable distance of East Hanover, NJ are encouraged to apply. Excellent full-time benefits include: • Comprehensive medical coverage, dental, and vision options, • Life and disability insurance, • 401(k) with company match, • Paid vacation and holiday, • Yearly goal-based bonus & eligibility for merit-based increases

Job Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $100K - $130K

Job DescriptionPrimary Job Title: Medical Laboratory ScientistAlternate/Related Job Titles: • Medical Technologist (MT), • Clinical Laboratory Scientist (CLS), • Medical Laboratory Technologist, • Position Type: Contract, • Contract Duration: 3.5 months (estimated), • Start: As Soon As Possible, • Follow all laboratory policies and procedures for specimen handling, analysis, reporting, and recordkeeping., • Maintain records demonstrating that proficiency testing samples are tested in the same manner as patient specimens., • Perform complex test analyses using approved methods and release validated results., • Adhere to quality control (QC) standards; document all QC activities, calibrations, and maintenance., • Identify and correct test performance issues, notifying supervisors of problems as necessary., • Maintain accurate documentation of all corrective actions when deviations occur., • Handle STAT and critical results according to laboratory protocol., • Maintain appearance and cleanliness of the laboratory work area., • Verify reagent/test kit details including received dates, expiration dates, and storage conditions., • Participate in safety training, departmental meetings, and regulatory inspections as required., • Collaborate with colleagues and other departments to ensure workflow efficiency and compliance., • Uphold patient confidentiality and demonstrate excellent customer service when interacting with clients.Required Experience:, • Minimum 1 year of clinical laboratory experience performing high-complexity testing., • Experience with laboratory information systems (LIS) and working across multiple computer platforms., • Knowledge of quality control (QC) and quality assurance (QA) best practices., • Proficiency in specimen processing and test result validation.Education & Certifications:, • BS in Medical Technology preferred; or BS/BA in Chemistry, Biology, or Associates degree in Laboratory Science or Medical Technology., • Eligibility for national certification as a Medical Technologist or Medical Laboratory Scientist (ASCP or AMT) preferred., • Candidates educated outside the U.S. must provide a credential evaluation from IERF (International Education Research Foundation)., • U.S.-educated candidates must provide original transcripts., • National and state licensure as required by law.Required Skills:, • Clinical Laboratory Testing, • Quality Control & Instrument Maintenance, • Data Accuracy & DocumentationPreferred Skills:, • Laboratory Information Systems (LIS), • CLIA, HIPAA & OSHA Compliance, • Specimen Handling & Troubleshooting, • Time Management & Prioritization, • Interdepartmental CommunicationAdditional Skills:, • Reagent Management & Inventory, • Training Participation & SOP Adherence, • Critical Results Reporting Benefits: * Medical, Vision, and Dental Insurance Plans * 401k Retirement Fund About the Client: A leading provider of diagnostic information services, empowering healthier lives through clinical testing and data insights. Leveraging the world’s largest laboratory database, the organization delivers innovative diagnostic solutions that help identify, treat, and prevent diseases while improving patient outcomes worldwide. About GTT: GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation’s largest life sciences, biotech, utility, and retail companies across the U.S. and Canada. We look forward to helping you land your next great career opportunity! Job Number: 25-27088 #gttqst #gttjobs Company DescriptionGlobal Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure. We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier. There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: Awards SIA’s Fastest Growing Staffing Firm: 2023 and 2015 SIA’s Best Staffing Firm to Work for: 2019 -2023 Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015 Randstad Preferred Supplier: 2020 - 2023 TechServe Alliance Excellence Award. 2019 NH Business Magazines Fast 5 fastest growing companies Ernst & Young Entrepreneur of the Year Finalist: 2015Global Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Junior Data Scientist job at Jobright. FanDuel is the premier mobile gaming company in the United States and Canada, seeking a Data Scientist for their Sports Modeling & Innovation team. The role involves developing predictive models for sports, collaborating with product and trading teams, and

Utilize large-scale data processing frameworks to extract value from structured and unstructured data. Manage a global team of data scientists and data engineers. Create data models using best practices to ensure high data quality and reduced redundancy.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making. This is a highly visible, cross-functional position where you will work closely with

This key Principal Clinical Data Scientist will be responsible and accountable for managing all Data Management deliverables at a consistently high standard with respect to cost, quality, and timelines for all assigned indications within one or more Global Clinical Program(s)/Project(s).

Collaborate with teams across Analytical Development, Process Development, Regulatory CMC, Biostatistics and Data Sciences to drive cell therapy programs forward. As a bench scientist, you will leverage your expertise in immunology, cell biology, and advanced analytical methods to generate actionabl

Hybrid role, must work onsite in Jersey City 3 days/week.Use data to create features and analytics for internal Data Services clients to construct portfolios, manage risk and improve operational and execution efficiencies; help regulators identify systemic risks; while advancing innovative approache

The Data Science team of the North America Data Analytics division at Chubb is seeking an experienced Senior Data Scientist with 4+ years of industry experience to join our fast-paced, high-energy team. This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics. As a Senior Data Scientist, you will develop and apply generalized linear models / machine learning solutions to complex business problems to create value for the business. This position offers exposure to a wide variety of analytics tools and technologies as well as unique challenges in problem-solving. Be ready to leverage internal/external data sources as you lead, develop, deploy, and monitor best-in-class model solutions. In this role you will: • Be responsible for and lead the continued development / delivery of new and existing processes. Teach / mentor junior staff directly and indirectly., • Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and develop robust model solutions that drive improvement in key business metrics., • Execute all aspects of analytics initiatives including exploratory data analysis, data preprocessing, model development, model deployment and monitoring., • Synthesize data, to uncover inherent trends in data, to assess impact of data on business usage, and to make recommendations for improvement., • Thoughtfully identify and construct predictive variables from both internal and external data sources., • Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given business problem., • Create/Maintain excellent working relationships with business partners across the Chubb organization including Product, Actuarial, IT, and analytics peer groups., • Provide supporting documentation for the models developed including documentation of methodologies used, data issues encountered, and responses to regulatory requests., • Required:, • Hands on experience utilizing both supervised and unsupervised ML algorithms., • Excellent understanding of data mining, predictive modeling, and data visualization., • Advanced knowledge of model tuning, evaluation, and operationalization., • Significant programming experience in either Python or R., • Significant programming experience in SQL., • Working knowledge/familiarity with Git version control., • Ability to communicate effectively to both technical and non-technical audiences in written, oral and presentation formats., • The ability to multi-task, learn new things quickly, and demonstrate excellent problem-solving skills., • Preferred:, • Prior experience in personal lines insurance, and / or knowledge of actuarial concepts., • Experience in architecting and consuming APIs at scale., • Experience with Deep Learning libraries (Tensorflow / Keras, PyTorch, MXNet, etc.)., • Experience with Text Analytics and Natural Language Processing., • Prior exposure to auto-ML platforms or technologies like H2O or DataRobot., • Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP)., • Comfortable with command line (Linux, Windows) scripting., • Experience with at least one other programming language aside from Python or R, like Julia, Scala, Go, Java, or C++., • Prior exposure to NoSQL databases. Education: • The candidate should have 4+ years of industry experience building, deploying, and analyzing generalized linear models or machine learning models, and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering. Location: • We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ - Simsbury, CT)., • Please note there will be limited expected travel to various work locations for in person collaboration and meetings. The pay range for the role is $103,700 to $176,300. 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. Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

EY-Parthenon - EY Growth Platforms - Data Scientist - Senior Director** EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Within the EY-Parthenon service line, the EY Growt

Chubb's Global Data Platform (GDP ) team manages multi cloud Data and Analytics capabilities and is responsible for cutting edge technlogies like SnowFlake, Synapse, Fabric, DataBricks, OpenAI, Informatica, Dataiku and Alteryx. Collaborate with Data Engineers, Data Scientist and Application develope

Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our