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Formulation Scientist 1 year contract 5 days a week onsite in Summit, NJ Overview The Formulation Scientist will support the Skin Health R&D team, contributing to both innovation and base business (commercialized products) within the skincare portfolio. This role will focus on formulation development, lab execution, and scale-up activities for consumer skincare products, including anti-aging formulations. The ideal candidate will work under the guidance of senior scientists while also taking ownership of experiments, technical problem-solving, and project execution. Key Responsibilities • Support end-to-end product development for skincare formulations, including innovation and commercialization of existing products, • Execute laboratory experiments, including formulation development, testing, and analysis of skincare products, • Assist in product design, formulation optimization, and process development/scale-up activities, • Conduct Design of Experiments (DOE) to support investigations and product improvements, • Process formulated products at lab scale and support transition to manufacturing, • Collaborate cross-functionally with R&D, manufacturing, and external partners to support project execution, • Analyze consumer insights and contribute to innovation pipeline development, • Maintain accurate documentation, including technical reports and experimental data, • Ensure compliance with company procedures, cGMP standards, and regulatory requirements, • Support troubleshooting efforts related to formulation, supply disruptions, or product upgrades Required Qualifications • Bachelor’s degree in Chemistry, Chemical Engineering, Pharmacy, or related field, • 1–4 years of experience in formulation development (academic or industry), • Experience with personal care, cosmetic, OTC, or pharmaceutical products, • Strong foundation in formulated systems (emulsions, surfactants, suspensions, structured liquids), • Hands-on laboratory experience executing experiments and processing formulations, • Understanding of material chemistry and basic process equipment, • Experience supporting process development or scale-up activities, • Strong communication, documentation, and organizational skills, • Proficiency in MS Office (Excel, Word, PowerPoint) Preferred Qualifications • Experience formulating skincare or anti-aging products, • Familiarity with cGMP and regulatory standards, • Experience working with external manufacturing partners, • Exposure to technical project management or cross-functional collaboration, • Ability to work independently while contributing within a team environment

Company Overview ImmunityBio, Inc. (NASDAQ: IBRX) is a commercial-stage biotechnology company developing cell and immunotherapy products that are designed to help strengthen each patient's natural immune system, potentially enabling it to outsmart the disease and eliminate cancerous or infected cells. We envision a day when we no longer fear cancer, but can conquer it, thanks to the biological wonder that is the human immune system. Our scientists are working to develop novel therapies that harness that inherent power by amplifying both branches of the immune system, attacking cancerous or infected cells today while building immunological memory for tomorrow. The goal: to reprogram the patient's immune system and treat the host rather than just the disease. Why ImmunityBio? • ImmunityBio is developing cutting-edge technology with the goal to transform the lives of patients with cancer and develop next-generation therapies and vaccines that complement, harness and amplify the immune system to defeat cancers and infectious diseases., • Opportunity to join a publicly traded biopharmaceutical company with headquarters in Southern California., • Work with a collaborative team with the ability to work across different areas of the company., • Ability to join a growing company with professional development opportunities. Position Summary The Senior Scientist, Regulatory CMC will assist in the development of global Chemistry, Manufacturing and Control (CMC) regulatory strategy for investigational and marketed products and manage the preparation of dossiers in eCTD format. The Principal Scientist will interact with cross-functional teams on CMC regulatory strategy and regional regulatory requirements and interact with CMC subject matter experts (SMEs). This position will support the development of submission strategies for CMC modules and updates, including life cycle management; and generation of submission-ready content for the Quality/CMC sections of all clinical trial and marketing authorization applications for ImmunityBio, Inc. Essential Functions • Prepare and review Module 2 (QOS) and Module 3 documents in accordance with Common Technical Document (CTD) guidances and company standards., • Support the development of global CMC regulatory strategies., • Assist with the preparation or review of documents including pharmacy manuals, protocols, CMC reports, and other documentation., • Provide input and recommendations on CMC topics planned or performed., • Support the design of CMC protocols., • Interact with other groups when needed to address CMC related matters., • Assist with the preparation of responses to Health Authority comments and questions pertaining to CMC issues., • May train others on Regulatory Affairs SOPs, processes, and templates for review, preparation, QC, and finalization of documents and major sections of applications as appropriate., • Perform ad-hoc and cross-functional duties and/or projects as assigned to support business needs and provide developmental opportunities. Education & Experience • Bachelor's Degree in life sciences or technical discipline with 6+ years' relevant progressive experience required; or, • Master's Degree in life sciences or technical discipline with 4+ years' relevant progressive experience required; or, • Doctorate degree in life sciences or technical discipline with 2+ years' relevant progressive experience required., • Experience in the preparation of the submission of CMC modules in eCTD format required, • Familiarity with organizing responses to Health Authority requests required, • Familiarity with regulatory submissions outside of the US a bonus Knowledge, Skills, & Abilities • Knowledge of Health Authority procedures and guidance regarding document management and electronic submission, • Knowledge of Health Authority CMC guidance documents and requirements, • Proficient in Electronic Document Management Systems, • Ability to work with firm deadlines and adapt quickly to changing requirements and priorities, • Strong organizational skills, written and oral communication skills, and attention to detail, • Knowledge of Biologic-based drugs including cell-based therapies, gene therapies, antibodies and recombinant proteins desired Working Environment / Physical Environment • This position works on site in Summit, NJ., • Regular work schedule is Monday - Friday, within standard business hours. Flexibility is available with manager approval., • This position may need to sit for long periods of time and use various computer programs., • This desk-based role involves the close study of scientific and regulatory documents., • This position will work closely with scientific colleagues throughout the day, often on a project team basis. This position is eligible for a discretionary bonus and equity award. The annual base pay range for this position is below. The specific rate will depend on the successful candidate's qualifications, prior experience as well as geographic location. $140,000 (entry-level qualifications) to $154,000 (highly experienced) annually The application window is anticipated to close on 60 days from when it is posted or sooner if the position is filled or closed. ImmunityBio employees are as valuable as the people we serve. We have built a resource of robust benefit offerings to best support the total wellbeing of our team members and their families. Our competitive total rewards benefits package, for eligible employees, include: Medical, Dental and Vision Plan Options * Health and Financial Wellness Programs * Employer Assistance Program (EAP) * Company Paid and Voluntary Life/AD&D, Short-Term and Long-Term Disability * Healthcare and Dependent Care Flexible Spending Accounts * 401(k) Retirement Plan with Company Match * 529 Education Savings Program * Voluntary Legal Services, Identity Theft Protection, Pet Insurance and Employee Discounts, Rewards and Perks * Paid Time Off (PTO) includes: 11 Holidays * Exempt Employees are eligible for Unlimited PTO * Non-Exempt Employees are eligible for 10 Vacation Days, 56 Hours of Health Pay, 2 Personal Days and 1 Cultural Day * We are committed to providing you with the tools and resources you need to optimize your Health and Wellness. At ImmunityBio, we are an equal opportunity employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.

Job Description Summary LI# Hybrid Internal Job Title: Expert Data Science / Senior Expert Data Science Location: East Hanover, NJ, Cambridge, MA or Durham, NC This position will be located at the East Hanover, NJ, Durham NC, or Cambridge, MA site and will not have the ability to be located remotely. Please note that this role would not provide relocation and only local candidates will be considered. Job Description: We are seeking a talented and motivated Data Scientist to join the Data and Statistical Sciences team within the Novartis Cell and Gene Therapy Scientific Office. The Data and Statistical Sciences team advances Novartis's goal of bringing safe and efficacious cell and gene therapies to market through supporting development scientists with data infrastructure, analytics, and a vision for the future of digital-enabled therapeutic development. The successful candidate will play a key role in establishing data flows and connections from laboratory systems to data science platforms, advancing our understanding of bioprocesses, and contributing to the optimization and improvement of our development processes. Job Description Responsibilities: • Lead efforts to establish data flows and connections from laboratory systems to our data science platform., • Drive cross-functional collaboration across various business domains, including IT, engineering, laboratory teams, to identify data sources and develop data extraction methods that ensure data integrity and security., • Quickly learn the use of tools, data sources, and analytical techniques needed to answer a wide range of critical business and scientific questions., • Design and implement data pipelines to ingest, clean, and transform raw data for analysis., • Leverage statistical and machine learning techniques to analyze integrated data sets, both structured and unstructured, extracting valuable insights into biopharmaceutical manufacturing processes., • Communicate analytical findings to business users through compelling business presentations, interactive visualization tools, and contextual storytelling techniques, ensuring a clear and impactful understanding of the derived insights from data analysis., • Develop and maintain data models and schemas to support ongoing data analysis and reporting needs., • Be adaptable in providing support for a wide array of assessments, including process comparability, when necessary., • Stay abreast of advancements in data technologies and best practices, recommending and implementing improvements to data infrastructure, models, and techniques as needed. This is a dual posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered (Expert Data Science OR Senior Expert Data Science): Expert Level: A minimum of a Bachelor's Degree with 4 years / Masters Degree with 2 years / Recent PhD. A combination of relevant industry experience and education will also be considered. Training and experience demonstrating proficiency in data management will be valued. Senior Expert Level: A minimum of Bachelor's Degree with 7 years / Masters Degree with 5 years/ PhD with 2 years of experience or dedicated postdoc / graduate training in the field of bioprocess or data science. A combination of relevant industry experience and education will also be considered. Training and experience demonstrating proficiency in data management will be valued. • Proficiency in programming languages such as Python or R., • Strong understanding of modeling and statistical concepts., • Excellent teamwork and communication skills, with a collaborative and proactive approach to problem-solving., • Knowledge of bioprocess engineering and biopharmaceutical manufacturing, with optional experience in cell or gene therapy (lentiviral or adenoviral technology)., • Experience with app development platforms like Red Hat OpenShift or Posit Connect is preferred., • Familiarity with web development technologies including JSON, CSS, and HTML is preferred., • Experience with tools and platforms commonly used in the biopharmaceutical industry (e.g., JMP/JSL/SAS, SIMCA, AVEVA PI) is strongly preferred. The salary for this position is expected to range as follows: Expert Data Science: $103,600 and $192,400 per year Senior Expert Data Science: $119,700 and $222,300 per year The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click ___. EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility and reasonable accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Salary Range $103,600.00 - $192,400.00 Skills Desired Clinical Trials, Computer Programming, Data Analysis, Programming Languages, Reporting, Statistical Analysis

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Responsibilities * Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units * Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions * Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer * 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 * Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership * Stay up to date on the latest advancements in data science and leverage cutting edge technology * Mentor, brainstorm with, and enable others within the DS team and broader Data organization Qualifications Education and Experience: * Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field * 5+ years of experience in data science, creating and deploying models * Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. * Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models * Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: * Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. * Experience with statistical modeling, A/B testing, and customer segmentation techniques. * Experience implementing and overseeing ML platforms and building unified data products across multiple domains. * Familiarity with online gaming platforms, trading systems, and marketing technologies. * Can write production level code, understand principles of programming Leadership & Soft Skills: * Strategic thinker with a proven ability to balance short-term results with long-term goals. * Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels * Collaborative team player who excels in cross-functional environments. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Job Description Summary: PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply The Market Data Analyst at S4 Market Data will oversee client projects and be responsible for the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries and projects from clients as well as manage a market data administrator within the projects to ensure administrative tasks are being completed in an accurate and timely manner. The ideal candidate will have market data vendor management and administrative experience; sourcing and negotiating contracts, managing procurement/sourcing requests throughout the spend life cycle, speaking with internal business units and stakeholders (legal, finance, IT, etc.) to procure goods/services for our clients. The candidate needs to be located in the US, this is a fully remote position. Responsibilities: • Handle day-to-day demand management or vendor management and administrative inquiries from internal business units, including but not limited to; data/sourcing requests, contract negotiation, entitlement administration, exchange reporting, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, invoices reconciliation, and spend reporting., • Interact with the client’s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers., • Oversee the inventory management process of leavers/joiners, ensure current inventory is accurate and up-to-date. Oversee the reconciliation invoices and validation of monthly allocations/expenses., • Conduct monthly/quarterly exchange reporting and ensure exchange policies and data compliance across the client’s end-users and applications. Administer their datafeeds (EMRS, DACS, Etc.), • Review spend and enact cost savings and avoidance initiatives. Provide respective business units with an overview for their costs; understand their products/services and respond to any inquires as needed. Maintain reports on costs and identify ways to consolidate spend., • Bachelor’s degree in MIS, Business, or related degree and 3-5 years of relevant experience in financial services or market data. Relevant work experience in consulting is preferred., • Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.)., • Knowledge of FITS and MDSL inventory systems is preferred., • Excellent communication and project management skills and experience in working closely with internal client business units and senior stakeholders., • An entrepreneurial and self-regulating mind-set. Display a high level of time management skills to manage multiple and elaborate requests simultaneously. CqzWdPMF1h

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needs Problem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical vision Leadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

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