Senior behavioral scientist jobs near me - 43 jobs

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Guest Experience is responsible for Search and Discovery, Merchandising, and end-to-end online software experience worldwide from top-of-funnel discovery through post-booking engagement. We are looking for a talented Data Scientist to join the Guest Data Science team. This tech lead will be at the core of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide a compelling and personalized experience of our app. We build products that help guests find the inventory most relevant to them in our marketplace. The Difference You Will Make: As a Senior Staff Data Scientist, you will lead innovation efforts to build methodologies to identify and evaluate the preferences important to every guest, at every step of their online discovery funnel. You will be instrumental in shaping our data strategy to drive guest conversion and regular engagement with the Airbnb platform across our Homes, Experiences and Services business verticals. This role emphasizes technical excellence and driving business impact with cutting-edge science. Your role will involve close collaboration with Product to identify in-product optimizations and shape UX design architecture to path how guests navigate from surface-to-surface in our app. The ideal candidate will demonstrate to be a domain expert with granular user behavior and sequence datasets in a marketplace setting. You will hold a high bar for our customer experience and balance a passion for AI with a strong desire to accurately understand user behavior and business success. Your efforts towards personalized content discovery will help make Airbnb feel tailored for you, maintaining a dialogue with our guests to deeply understand their preferences and reflect that understanding back to them, enabling every guest to easily discover the travel they will love. A Typical Day: Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets. Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions. Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact. Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables. If you're passionate about going deep into personalized user experiences, we want to hear from you! Your Expertise: Causal inference expertise with marketplace experience Preferred domain experience in search, UX discovery, personalized evidence systems Advanced degree in Computer Science, Statistics, Econometrics or related field. 9+ years of industry experience with a PhD (or 12+ years with a Masters) Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience. Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner's mindset towards LLMs and dynamic systems. Proven ability to succeed in both collaborative and independent work environments Demonstrated willingness and track record of engagement with the technical community Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$224,000-$280,000 USD

About the team The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI technologies to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on, multimodal assistant that integrates deep user and home insights, along with sophisticated reasoning. By embedding domain knowledge and specialized expertise in these assistants, we empower home buyers and real estate professionals to gain efficiency while maintaining Zillow's competitive edge. This lean, customer-focused team comprises scientists and engineers working together to deliver delightful customer experiences. We strongly believe in accountability, collaboration, and transparency.About the role Zillow is seeking a Principal Applied Scientist on the Agentic AI team to research and develop advanced, multimodal foundational technologies (CV, NLP, 3D) for next-generation understanding of homes, both indoors and outdoors. They will be hands-on in prototyping ideas, evaluating, and deploying models to Zillow's highly scalable infrastructure platforms. As a Principal Applied Scientist in the Agentic AI team, you will: Design, prototype, and develop multi-agent image-forward, voice-assisted experiences. Improve real estate shopping experience using computer vision tasks such as VLM captioning, object detection and localization, segmentation, and multimodal semantic retrieval Serve as the focal point for developing a science roadmap, driving alignment across stakeholders on technical capabilities, timelines, and prioritization Represent the team at conferences, publish in top-tier journals, like CVPR, NeurIPS, ICCV, ACL, and SIGGRAPH, and champion internal best practices Build innovative solutions that personalize using user behavior, context signals, and real-time environmental data Distill complex research findings and system designs into actionable insights for diverse audiences This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $191,300.00 - $305,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $181,800.00 - $290,400.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.Who you are As a Principal Applied Scientist, you are a roll-up-the-sleeves and get-it-done researcher who can marry scientific rigor with large-scale engineering. We are looking for someone who has: Ph.D. or equivalent experience in Computer Vision, NLP, or related fields, with emphasis on multimodal learning Deep expertise in developing and scaling perception models that combine imagery, spatial data, and language Proven science leadership in defining a science roadmap for a team and mentoring other scientists Track record of publishing high-impact research in top venues like CVPR, NeurIPS, ICCV, ACL, and SIGGRAPH Experience developing multi-agent dialogue systems with long context multimodal chain of thought reasoning. Hands-on experience fine-tuning voice-AI models for automatic speech recognition, turn detection, and speech generation is a bonus Experience with geospatial datasets and 3-D vision techniques, like point clouds, Gaussian splatting, or neural radiance fields, is a plus Track record of shipping large-scale, high-impact consumer-facing solutions to production and measuring business impact Get to know us At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation's freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. Come make a difference with us! learn more about BNSF and our Benefits Job Location: Remote US Anticipated Start Date: 01/01/2026 The US base salary range for this full-time position is provided below: Salary Range: $165,000-$300,000 The range represents the amount bnsf | tech reasonably expects to pay for the position based on the level, scope, and responsibilities of the role. Individual compensation and level of position offered is determined by the hiring location and additional factors including but not limited to job-related skills, experience, and relevant education or training. In addition to base pay and bonus eligibility, BNSF offers a comprehensive benefits package. This is a full-time remote position. Employees may work from anywhere within the contiguous 48 states of the United States Travel is up to 20%. Employees will be required to occasionally travel to our corporate headquarters in Fort Worth, TX for in person meetings. Travel expenses for business needs will be covered by BNSF This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Apply early as this job may be removed or filled prior to the closing date, which is approximately seven (7) days after the posting date. data & ai: lead our charge into the future as an ai company by transforming our data assets into a real time enterprise. Key responsibilities may include: Lead cross-functional collaboration to identify and define analytic initiatives, formulate strategies, and develop solutions to achieve business goals through effective use of data machine learning models. Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. Lead implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for this position. This is not an exhaustive list of the position's duties. At BNSF Railway, we encourage individuals from all backgrounds to apply, showcasing their skills, experiences and development. We provide resources and tools to help you reach your full potential, fostering a supportive and inclusive environment. Basic Qualifications Minimum 6 years of experience with building optimization algorithms or relevant experience. Advanced proficiency in programming languages such as Python, R, SQL, and Java. Demonstrated expertise in utilizing data visualization tools to communicate insights clearly and effectively. In-depth experience with data science cloud platforms and their integration into business solutions. Exceptional intellectual curiosity and a proven ability to thrive in a fast-paced, collaborative team environment. Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies. Strong communication skills to articulate technical concepts to diverse audiences with clarity and professionalism. Deep understanding and application of statistical analysis and advanced machine learning techniques. Must understand and have proficiency in the core architecture of LLMs (e.g., transformers and attention mechanisms) Experience with prompt engineering techniques, including chain-of-thought prompting, Retrieval-Augmented Generation (RAG), fine-tuning of language models, and evaluation methodologies. Experience with Vector Databases and embeddings. Experience with Model Fine-tuning. Experience with GPU optimization. Preferred Qualifications Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a related field. Ph.D is a plus. Knowledge of geospatial analytics, route optimization, and GIS concepts. Previous hands-on experience with AI/Machine Learning frameworks and tools, showcasing innovative solutions. Extensive background in Rail, Shipping, Airline, Logistics, Warehousing, Supply Chain, or Transportation industries, or in the High-Tech sector. Proficiency in leveraging open-source libraries and frameworks to drive data science initiatives. Seasoned in Agile methodologies like Scrum, Kanban, or SAFe for efficient project management and delivery at a senior level. At BNSF, you will have access to a comprehensive and competitive benefits package including: An industry-leading 401(k) and renowned Railroad Retirement program. A range of robust health care options for you and your dependents (including domestic partners), including medical, dental, vision, telemedicine, mental health, cancer support, and high-quality care network options. Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). Access to discounts on travel, gym memberships, counseling services and wellness support. Annual bonus (Incentive Compensation Program) Generous leave / time off policies. For more information, visit Benefits. Please be aware of potential fraud that can occur when searching for new career opportunities. Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Overview *Ideal experience includes R&D, Food Safety, or Quality; however, we are also open to candidates with backgrounds in Supply Chain, Operations, or Engineering.* The PFNA R&D Operational Excellence Specification Team oversees a connected digital ecosystem that drives change and enables resource-efficient innovation cycles and end to end traceability to deliver consumer-centric insights for critical business decisions. The R&D Associate Principal Scientist will lead ingredient specification operations across Quaker and Frito-Lay in both the U.S. and Canada, upholding Pepsico global ingredient standards while seamlessly integrating R&D business processes. This role will provide exposure and hands on experience delivering end-to-end specification management as part of commercialization execution. This role applies strong food science principles and collaborates effectively with cross-functional partners-including Procurement, Supply Chain, Food Safety, Regulatory, external suppliers, and product developers-to build clear, timebound plans for ingredient specification programs. The role also manages dynamic, fast-paced timelines and deliverables by prioritizing tasks and coordinating closely with the MCC specification writing team. The ideal candidate will possess a strong understanding of business processes, technical knowledge, and project management skills to develop, maintain, and track project workplans and timelines throughout specification lifecycle. Responsibilities Lead the PFNA ingredient specification process across Innovation, Productivity, Brand Stewardship, and portfolio transformation initiatives by developing strategic workstreams, defining resource requirements, and driving cross-functional alignment. Build and sustain strong cross-functional partnerships across R&D and non-R&D teams-including Procurement, Co-Manufacturing, Quality, SRA, and Legal-while maintaining direct engagement with ingredient suppliers and technical R&D disciplines. Collaborate closely with Food Safety, Quality, Regulatory, and subject matter experts to proactively assess, manage, and mitigate ingredient-related risks. Develop and support other junior members in the group to issue management and resolution, partner closely with MCC ingredient specification team to ensure consistency and efficiency in specification updates and Global standards compliance and understanding appropriate escalation channels. Demonstrate problem-solving mindset to ensure business continuity. Interpret and analyze data to deliver sound technical recommendations on ingredient specifications. Proactively identify and address gaps in system, process, ways of working and clearly communicating their implications for the business. Coordinate and deliver training sessions for product developers and cross-functional partners to ensure clear understanding and consistent application of the specification process. Lead and prioritize the activities of Ingredient Subject Matter Expert (SME) reviewers, ensuring timely and accurate specification reviews aligned with project needs. Assist in managing the Opex Spec Team's budget, with a focus on tracking and optimizing spend related to external contractor support. Specification Review & Approval. Conduct final reviews and approvals of specifications by validating data quality and compliance with Global Ingredient standards. Compensation and Benefits: The expected compensation range for this position is between $89,000 - $149,000. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Education/Certifications: BS/MS/PhD Degree in Food Science or Food Engineering or related field BS with 5+ years', MS with 3-4+ years', or PhD with 2-3+ years' experience in R&D or manufacturing/production environment in foods industry Experience in product or process development /commercialization/optimization and/or productivity. Demonstrated capability to effectively manage complex or multiple projects simultaneously. Ability to embrace change and flexibility to prioritize balancing sense of urgency with the need to deliver quality results. Critical thinker with demonstrated understanding of how to incorporate business needs into technical decisions. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Collaborative team player with strong leadership interpersonal skills and proven ability to work with cross-functional teams. Ability to work effectively in a matrix team structure, remote teams and working from home partners. Good communication skills - Able to simplify complexity and communicating in a clear and concise manner. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Project management skills: Systems management, KPI tracking, communication with cross functional partners. This position is limited to persons with indefinite right to work in the United States EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy. Please view our Pay Transparency Statement Education/Certifications: BS/MS/PhD Degree in Food Science or Food Engineering or related field BS with 5+ years', MS with 3-4+ years', or PhD with 2-3+ years' experience in R&D or manufacturing/production environment in foods industry Experience in product or process development /commercialization/optimization and/or productivity. Demonstrated capability to effectively manage complex or multiple projects simultaneously. Ability to embrace change and flexibility to prioritize balancing sense of urgency with the need to deliver quality results. Critical thinker with demonstrated understanding of how to incorporate business needs into technical decisions. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Collaborative team player with strong leadership interpersonal skills and proven ability to work with cross-functional teams. Ability to work effectively in a matrix team structure, remote teams and working from home partners. Good communication skills - Able to simplify complexity and communicating in a clear and concise manner. Ability to collate and interpret multiple sources/formats of technical information, escalate issues, and seek alignment towards workable solutions. Project management skills: Systems management, KPI tracking, communication with cross functional partners. This position is limited to persons with indefinite right to work in the United States Lead the PFNA ingredient specification process across Innovation, Productivity, Brand Stewardship, and portfolio transformation initiatives by developing strategic workstreams, defining resource requirements, and driving cross-functional alignment. Build and sustain strong cross-functional partnerships across R&D and non-R&D teams-including Procurement, Co-Manufacturing, Quality, SRA, and Legal-while maintaining direct engagement with ingredient suppliers and technical R&D disciplines. Collaborate closely with Food Safety, Quality, Regulatory, and subject matter experts to proactively assess, manage, and mitigate ingredient-related risks. Develop and support other junior members in the group to issue management and resolution, partner closely with MCC ingredient specification team to ensure consistency and efficiency in specification updates and Global standards compliance and understanding appropriate escalation channels. Demonstrate problem-solving mindset to ensure business continuity. Interpret and analyze data to deliver sound technical recommendations on ingredient specifications. Proactively identify and address gaps in system, process, ways of working and clearly communicating their implications for the business. Coordinate and deliver training sessions for product developers and cross-functional partners to ensure clear understanding and consistent application of the specification process. Lead and prioritize the activities of Ingredient Subject Matter Expert (SME) reviewers, ensuring timely and accurate specification reviews aligned with project needs. Assist in managing the Opex Spec Team's budget, with a focus on tracking and optimizing spend related to external contractor support. Specification Review & Approval. Conduct final reviews and approvals of specifications by validating data quality and compliance with Global Ingredient standards. Compensation and Benefits: The expected compensation range for this position is between $89,000 - $149,000. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

As part of the OCI Multimodal AI Science Team, we are seeking a visionary leader to spearhead image generation model research and development efforts. As the video generation model scientist lead, you will be responsible for driving the development and implementation of cutting-edge video generation and manipulation technologies. You will lead a team of world-class scientists in exploring new frontiers of video synthesis, style transfer, and video editing. Qualifications: PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 4+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 8+ years relevant experience Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Extensive experience in image generation, computer vision, and deep learning Proven track record of leading research and development projects Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong leadership and communication abilities Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 Research: Conducting in-depth research on image and video generation techniques, including generative adversarial networks (GANs), diffusion models, and other emerging approaches. Model Development: Designing, developing, and training state-of-the-art generation models that meet the highest quality standards. Team Leadership: Building and mentoring a high-performing team of scientists and engineers to execute on ambitious technical goals. Collaboration: Partnering with cross-functional teams to integrate advanced generation capabilities into applications and products. Innovation: Identifying new opportunities for generation technology and exploring emerging trends in the space. Industry Awareness: Staying current with advancements in both image and video generation, ensuring our approaches remain cutting-edge.

At LifeStance Health, we strive to help individuals, families, and communities with their mental health needs. Everywhere. Every day. It's a lofty goal; we know. But we make it happen with the best team in mental healthcare. Thank you for taking the time to explore a career with us. As the fastest growing mental health practice group in the country, now is the perfect time to join our team! LifeStance Health Values Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. Benefits As a full-time employee of LifeStance Health, the following benefits are offered: medical, dental, vision, AD&D, short and long-term disability, and life insurance. Additional benefits include a 401k retirement savings with employer match, paid parental leave, paid time off, holiday pay and an Employee Assistance Program. ROLE OVERVIEW We are looking for an experienced Quantitative Scientist to join our Analytics and Insights team at LifeStance Health, one of the largest providers of mental health care in the country. Reporting to the VP of Insights and Analytics, this is a high-ownership individual contributor role to lead a robust program of clinical quantitative research on mental health care at national scale. You will work closely with cross-functional stakeholders to define and execute a clinical research roadmap, including publication of peer-reviewed research. You will investigate drivers of clinical quality across a broad spectrum of mental health services and translate findings into tangible improvements in care quality in real-world patients. Consistent with LifeStance's values, every member of the LifeStance team is expected to support each other and the mission, which may mean participating in projects and initiatives and performing functions and responsibilities not specifically outlined in this job description. COMPENSATION: $140,000 - $160,000/annually in addition to a competitive bonus plan RESPONSIBILITIES Serve as expert analyst for clinical quantitative research, owning the planning and execution of quantitative analysis to support all clinical research at LifeStance. Leverage our national data to generate novel research findings on the effectiveness of a broad range of outpatient treatments (e.g., psychotherapy, medication, TMS) across virtual and in-person settings Implement a variety of statistical approaches tailored for complex research questions, such as longitudinal analysis, survival modeling, multi-level modeling, and predictive modeling. Extract and transform electronic health record data into structured datasets suitable for research analysis. Partner with other analysts and data engineering to define reproducible, versioned data assets. Provide research findings to support validation and dissemination of high-quality mental health care through peer-reviewed research, conference presentations, white papers, and blog posts Collaborate independently with clinical leaders to plan research initiatives and set priorities according to clinical and business goals Conduct quantitative analysis to support design of evidence-based quality improvement initiatives (e.g., clinical care pathways, patient-clinician matching, clinical decision support) Explore opportunities to embed predictive analysis and predictive models into clinical and operational workflows to improve care quality and patient retention REQUIREMENTS Master's degree in a quantitative discipline such as applied statistics, mathematics, biostatistics, data science, epidemiology, health economics and outcomes research, or a related discipline with 10+ years full-time experience conducting quantitative health care research in provider, payor, consulting, or other industry settings, required. Alternatively, a candidate may have a PhD in a quantitative discipline such as applied statistics, mathematics, biostatistics, data science, epidemiology, health economics and outcomes research, or a related discipline and 5+ years full-time experience conducting quantitative health care research in provider, payor, consulting, or other industry settings, 5+ years using open-source programming languages (Python or R) for data cleaning, statistical analyses, data visualization, and generating summary reports, required Multiple years of experience conducting statistical analyses on real-world clinical data, such as electronic health records, claims databases, observational cohort studies, or clinical trials Strong quantitative skills in statistical analysis of longitudinal and observational data, with mastery of techniques for related study designs (missing data, propensity score weighting, etc.) Strong record of peer-reviewed publications from real-world datasets, with additional experience supporting other short-form formats (e.g., blog posts, white papers) with data-driven insights and statistical analysis Intermediate SQL skills, with 2+ years of experience using SQL to extract and transform extract data from cloud data warehouse Strong collaboration and communication skills, with clear record of independent stakeholder partnership to iterate on results and align on goals Applied experience in core principles of machine learning (e.g., cross-validation, model tuning) and building predictive models for clinical use cases Remote requirements include a quiet, distraction free, dedicated HIPAA (Health Insurance Portability and Accountability Act) compliant workspace in your remote office. Qualified candidates must be legally authorized to be employed in the United States. LifeStance is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status. Demonstrates awareness, inclusivity, sensitivity, humility, and experience in working with individuals from diverse ethnic backgrounds, socioeconomic statuses, sexual orientations, gender identities, and other various aspects of culture. PREFERRED SKILLS AND KNOWLEDGE Experience in quality improvement (QI) initiatives, specifically generating insights from real-world clinical data to inform impactful QI initiatives Experience and related domain expertise in psychiatry, neuroscience, or other related mental health discipline Strong skills in machine learning and data science, with experience building predictive models deployed for production use cases Familiarity with AWS tech stack (e.g., Redshift, EC2, S3, etc.) Experience creating dashboards with business intelligence software, preferably Power BI PHYSICAL REQUIREMENTS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, bend, talk and hear. The employee is frequently required to walk. The employee must be able to lift and/or move objects up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus. LifeStance provides the compensation range and benefits that it in good faith believes it might pay and/or offer for this position. LifeStance reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law. #LI-Remote #LI-BA1 LifeStance is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Learn more about Diversity, Equity and Inclusion at LifeStance.

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Want to learn more about our Data Science Team: *********************************************************************** Learn more about our team culture here: *********************************************** Watch our talk at Amazon Tech Talks: ******************************************* StackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position. What you'll be doing: Lead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise. Own the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems. Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights. What you'll bring to the table: 3+ years of industry experience Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus. Have the ability to take an ambiguously defined task, and break it down into actionable steps Have a comprehensive understanding of statistics, optimization and machine learning Are proficient in coding, data structures, and algorithms Enjoy working in a friendly, collaborative environment with others StackAdapter's Enjoy: Highly competitive salary Retirement/ 401K/ Pension Savings globally Competitive Paid time off packages including birthday's off! Access to a comprehensive mental health care program Health benefits from day one of employment Work from home reimbursements Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto Robust training and onboarding program Coverage and support of personal development initiatives (conferences, courses, books etc) Access to StackAdapt programmatic courses and certifications to support continuous learning An awesome parental leave program A friendly, welcoming, and supportive culture Our social and team events! StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign's Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising To learn more about our privacy practices, please see our Privacy Policy. #LI-REMOTE

A Moving Experience. Your Impact Architect, design, and implement state-of-the-art Generative AI models (auto-regressive, diffusion, Discrete Diffusion, Hybrid SSM etc ) and port these models to any hardware platform. Leverage your expertise to effectively train, fine-tune, and optimize models that impact LLMs (Multimodal & Multilingual), shaping them for optimal accuracy, naturalness, and performance. Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts. By understanding their requirements, you will collaboratively develop customized solutions that leverage the prowess of LLMs/MLLMs. Innovate and enhance existing applications by integrating the power of LLMs/MLLMs, thereby ensuring optimal performance and speed even on resource-constrained platforms. Stay fully abreast of the latest advancements, trends, and research in the realms of Generative AI, Conversational AI, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems. What You Bring Extensive experience and demonstrated mastery in developing LLM/MLLMs. Well versed with commercial deployments, post-deployment support, model-profiling and optimization needed for production environments. It would be preferable to be experienced in deploying models in different languages. Advanced degree (Ph.D. preferred) in computer science, electrical engineering, or a related field. Exceptional programming skills in Python along with a strong ability to implement complex machine learning algorithms. Proven track-record in developing conversational AI systems, successfully working with diverse elements such as acoustic models, language models, and pronunciation models. Possess strong analytical thinking, problem-solving capabilities, and a collaborative mindset, ensuring you can thrive within our fast-paced and innovative environment. Cerence Inc. (Nasdaq: CRNC and **************** is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world's leading automakers - from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC - to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence's passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement. All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: - Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. - Following security procedures to report any suspicious activity. - Having respect for corporate security procedures to allow those procedures to be effective. - Adhering to company's compliance and regulations. - Encouraging to follow a zero tolerance for workplace violence. - Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). - Demonstrative knowledge of information security through internal training programs.

Telix Pharmaceuticals is a dynamic, fast-growing radiopharmaceutical company with offices in Australia (HQ), Belgium, Japan, Switzerland, and the United States. Our mission is to deliver on the promise of precision medicine through targeted radiation. At our core, we exist to create products that seek to improve the quality of life for people living with cancer and rare diseases. You will be supporting the international roll-out of our approved prostate cancer imaging agent and helping us to advance our portfolio of late clinical-stage products that address significant unmet need in oncology and rare diseases. See Yourself at Telix This role provides technical and analytical expertise for late phase biologics process development and commercial manufacturing activities for multiple technology areas (e.g. cell banking, cell culture, purification, formulation, or bioconjugation) ensuring manufacturing processes are sufficiently developed to meet program objectives, safety standards, regulatory expectations, and quality compliance. This role is responsible for managing projects in multiple technological areas (e.g. cell banking, cell culture, purification, formulation, or bioconjugation) at external CDMO partners, as well as contributing to internal cross-functional collaborations to develop and execute clinical and commercial manufacturing. The Principal Scientist, Biologics acts as the Biologics lead for a specific therapeutic program and should be comfortable communicating with cross-functional teams in formal settings and third-party meetings, be knowledgeable in several technical areas as well as their focus technology area (e.g. cell banking, cell culture, purification, formulation, or bioconjugation), and manage their own workload to complete assignments autonomously with some feedback from senior-level colleagues and/or their manager for more complicated topics. Key Accountabilities: Leads development projects for multiple technology areas (e.g. cell banking, cell culture, purification, formulation, or bioconjugation) ensuring the appropriate process knowledge, technology transfer, analytical method transfer, design space and/or control strategy definition, optimization, and/or validation to produces clinical and/or commercial drug substance. Authors, reviews, and approves external manufacturing operation documents such as SOPs, batch records, protocols, and reports for multiple technology areas (e.g. cell banking, cell culture, purification, formulation, or bioconjugation) to produce clinical and/or commercial drug substance. Ensures appropriate compliance of multiple technology areas (e.g. cell banking, cell culture, purification, formulation, or bioconjugation) through document creation/review/approval, quality investigations, corrective actions, and change control within a Quality system. Authors and/or reviews source documents and CMC content related to several technology areas (e.g. cell culture, purification, formulation, or bioconjugation) to support IND, NDA, BLA and similar regulatory agency applications, especially in areas requiring more sophisticated acumen such as comparability and risk-based approach justifications. Leads collaborations with external partners such as CDMOs to develop selection criteria, assess capabilities, coordinate activities, plan process technology transfer/analytical method transfer, troubleshoot and analyze operational performance, conduct risk assessments, and manages timely deliverables. Experience in the commercialization of several programs from last cycle process development including optimization, process characterization, robustness, reproducibility, through process validation (process definition/ lock, PPQ, & CPV). Mentors Senior Scientists and other level Scientists on both technical topics as well as Telix values. Education and Experience: Science or engineering degree with minimum relevant experience as applicable: BS with 11+ years of experience, MS with 9+ years of experience, PhD with 8+ years of experience. 6+ years of experience in GMP, quality management system, and CMC compliance and regulation. Demonstrated understanding and application of project management principles and tools. Ability to work in cross-functional, virtual teams. Travel expectation: 10 - 25% for key in-person meetings, partner site visits, and SME/technical person-in-plant assignments. Key Capabilities: Inclusive mindset : Demonstrate an understanding and appreciation for diversity, and actively work to create an inclusive environment where everyone feels valued and respected Creativity and innovation : Possess a willingness to think outside the box and come up with unique and creative solutions to challenges Commitment to excellence : Take pride in your work and consistently strive for excellence in everything you do Results-oriented : Driven to achieve goals and objectives, with a strong focus on delivering measurable results Ethical behavior : Act with integrity and demonstrate a commitment to ethical behavior in all interactions with colleagues and stakeholders Adaptability : Comfortable working in a dynamic environment, able to adjust to changing priorities, and willing to take on new challenges Strong communication skills : Able to communicate effectively with colleagues and stakeholders at all levels, using clear and concise language Collaboration : Work effectively as part of a team, actively sharing knowledge and expertise to achieve common goals Resilience: Demonstrate the ability to bounce back from setbacks and persevere in the face of challenges Continuous learning : Show a commitment to ongoing learning and professional development, continually seeking out opportunities to expand your knowledge and skills At Telix, we believe everyone counts, we strive to be extraordinary, and we pursue our goals with determination and integrity. You will be part of an engaged and supportive group of colleagues who all have a shared purpose: to help people with cancer and rare diseases live longer, better quality lives. Being a Telix employee means being a part of a unique, global, interdisciplinary team working to deliver what's next in precision medicine. We have hybrid and remote employees located all around the world. We offer competitive salaries, annual performance-based bonuses, an equity-based incentive program, generous vacation, paid wellness days and support for learning and development. Telix Pharmaceuticals is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. VIEW OUR PRIVACY POLICY HERE

What we're building and why we're building it. Every month, millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we've delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users. It's not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don't need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what's next, with us. Ranked as one of America's Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch. Fetch is an equal employment opportunity employer. About the role: Fetch is at a critical inflection point in how data and science inform the company's most important decisions. With millions of monthly active users, rich item-level purchase data, and increasing investment in AI-driven products like FetchGPT, Fetch has an opportunity to establish a rigorous, scalable measurement and causal reasoning foundation that powers pricing, incentives, growth, marketing investment, and financial planning. We are seeking a Staff Data Scientist to serve as the company-wide scientific and measurement leader. This role goes beyond traditional analytics or domain ownership. You will define how Fetch measures value, reasons about causality, and translates evidence into executive decisions. You will own core measurement frameworks, architect semantic and metric foundations, and set the scientific quality bar across analytics, experimentation, and strategic modeling. Within your first year, you will define Fetch's MAU × ARPU measurement operating system, establish canonical metrics and semantic standards powering FetchGPT and executive reporting, and deliver strategic models such as marketing mix, elasticity, and incentive sensitivity that directly inform leadership decisions. What You'll Do at Fetch: Define and own Fetch's company-level measurement framework anchored in MAU × ARPU. Company Measurement and Causal Strategy. Establish decision frameworks for pricing, incentives, and value trade-offs. Set standards for evidence quality, uncertainty, and confidence in decision-making. Define the causal reasoning model used across product, growth, marketing, and finance. Own the scientific capability roadmap including elasticity, value curves, MMM, and forecasting. Semantic and Data Architecture Architect the semantic mart and metric logic powering FetchGPT and scalable insights. Define canonical metric definitions and unify logic across experimentation platforms, dashboards, and diagnostics. Partner with Analytics Engineering and Data Platform to build foundational data assets. Establish BI standards and eliminate redundant or conflicting dashboards. Scientific Governance and Experimentation Serve as the quality bar for high-impact analytics and diagnostics. Review strategic analyses to ensure correct interpretation and mechanism alignment. Set scientific rules for experimentation and validate high-risk tests such as pricing and incentives. Ensure observational and experimental results reconcile cleanly. Create templates and interpretation guides to standardize rigor. Strategic Modeling Ownership Own cross-company models that drive executive decisions, including marketing mix modeling, elasticity and incentive sensitivity, value expectation curves, strategic forecasting, and financial mechanism models supporting MAU × ARPU planning. Org-Wide Scientific Leadership Raise the scientific maturity of the data science and analytics organization. Design upskilling programs in statistics, causality, modeling, and storytelling. Author best-practice modeling libraries and documentation. Serve as a technical anchor and thought partner for senior ICs across the org. Establish norms for rigorous, transparent, mechanism-driven insights. Technical Excellence Apply advanced statistical and causal methods to company-level problems. Build scalable, production-ready analytical frameworks in partnership with engineering. Champion best practices in experimentation design, model validation, and reproducibility. Leverage modern analytics tooling such as Python, SQL, Snowflake, dbt, and experimentation platforms. Minimum Qualifications 8+ years of experience in data science, economics, statistics, or applied research, including experience operating at Staff or Principal scope on company and/or org-level problems. Deep expertise in causal inference, experimental design, and observational analysis, with demonstrated ownership of high-stakes business decisions informed by causal evidence. Experience defining and owning company-level measurement frameworks, canonical metrics, or strategic models used by senior leadership. Proven ability to influence and support executive decision-making, including presenting trade-offs, uncertainty, and recommendations that directly impact strategy. Exceptional written and verbal communication skills, with the ability to explain complex causal and modeling concepts to non-technical senior audiences. Bachelor's degree in a quantitative field. Preferred Qualifications Advanced degree in a quantitative discipline. Hands-on experience owning and maintaining strategic models such as marketing mix models, elasticity estimates, incentive sensitivity, or long-range forecasts used in executive planning. Experience in large-scale consumer products, marketplaces, ad-supported platforms, or incentive-driven systems with complex value trade-offs. Experience defining semantic layers, metric governance, or data contracts at scale across multiple teams or functions. Demonstrated track record of org-wide scientific leadership without direct people management, including setting standards, reviewing work, and raising the technical bar across teams. This is a full-time role that can be held from one of our US offices or remotely in the United States. Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at ************************** At Fetch, we'll give you the tools to feel healthy, happy and secure through: Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch's growth. 401k Match: Dollar-for-dollar match up to 4%. Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets. Continuing Education: Fetch provides ten thousand per year in education reimbursement. Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership. Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People's Day, as well as our year-end week-long break. Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more! Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We'll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential. Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com. Learn more: Fetch Recruitment Scam Warning.

Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award. The Work At ICF Next, we are fearless in finding new ways to solve problems, relentless in making sure it pays off for our clients and committed to making a positive change in the world. Join our community of mission-driven creatives, communicators, strategists, and technologists to challenge the status quo. We're looking for a Behavioral Scientist to help shape the future of tobacco regulation. In this role, you'll leverage behavioral and social science expertise to understand how people think, feel, and act when it comes to tobacco products. Your work will include designing and conducting research, analyzing consumer perceptions, interpreting public health data, and turning insights into impactful regulatory strategies that make a real difference. Job Location: Fully remote with periodic on‑site presence at clinical locations and events. *If you accept this position, you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and prohibits personal VPN connections. What You Will Do: Design and conduct studies that explore consumer perceptions, decision-making, and responses to tobacco products and health messaging. Interpret behavioral data and public health trends to uncover actionable patterns and inform communications and engagement efforts. Translate research findings into strategies and recommendations that shape regulatory decisions and related communications and storytelling. Work with scientists, policy experts, and communicators to integrate behavioral science into impactful communications and outreach efforts. . Prepare reports, presentations, and briefs that make complex data clear and compelling, using behavioral best practices related to storytelling. What You Will Bring With You: Bachelor's degree in behavioral or social sciences (e.g., psychology, sociology, anthropology) or equivalent combination of education and experience. Experience contributing to or developing communications strategies and plans using behavioral science principles. At least 7 years of hands-on experience with research design, data analysis, and applying behavioral science to real-world challenges. What We Would Like You To Bring With You: Demonstrated experience designing and reviewing studies, including consumer perception research, for regulatory or public health applications. Professional Skills: Strong analytical and data interpretation skills; competency in presenting data in accessible formats. Demonstrated experience in fast-paced dynamic environment with the ability to be a hands-on, trusted problem solver and leader. Demonstrated experience providing senior-level counsel to government officials and executives. Superior verbal, written, organizational, and time management skills, as well as attention to detail. Ability to think creatively and provide unique solutions and rationale for solutions to clients' communications challenges/problems. Ability to quickly understand problems, synthesize large amounts of information, and provide succinct recommendations that tie back to overall account communication strategies and tactics. #LI-CC1 #Indeed Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $67,063.00 - $137,949.00DC Remote Office (DC99)

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. Meet the team: The Data Science and Biostatistics team is at the heart of turning complex clinical data into insights that help bring life-changing technology to patients. As a Sr Staff Data Scientist, you'll collaborate with an exceptional, multidisciplinary group of Biostatisticians, Data Scientists, Statistical Programmers, Clinical Data Managers, and Medical Writers to solve meaningful, real-world problems. This is a fast-paced, highly collaborative environment built for curious, driven individuals who want their work to directly influence innovative medical technology-and ultimately improve lives. Where you come in: You contribute to the development and continuous improvement of data infrastructure for clinical studies and real-world data sources (e.g., EHR), and you lead the research, prototyping, and development of machine learning and AI models aligned to business needs. You lead statistical analysis planning and execution for clinical studies, including study and endpoint design, sample size and power calculations, and the creation and review of statistical analysis plans. You oversee the production and review of tables, figures, and listings, interpret results, and proactively address limitations in study design or statistical methods. You review and provide input on clinical protocols and CRFs, ensuring overall data integrity and high-quality statistical analyses that support abstracts and peer-reviewed manuscripts. You leverage scientific literature as a research methodology to inform data science approaches, statistical method development, and analyses for clinical studies and real-world evidence. You guide and support junior data scientists and biostatisticians through mentorship, collaborative problem-solving, and knowledge sharing. You provide statistical consultation and thought leadership to cross-functional partners in R&D, engineering, marketing, manufacturing, medical science, and with external collaborators. What makes you successful: You bring strong proficiency in statistical methods, applications, and programming, with experience applying complex statistical techniques to real-world problems. You think strategically and can evaluate and apply the most appropriate analytical or modeling approaches to solve ambiguous and challenging business questions. You are able to work independently and lead clinical data science or biostatistics project teams with minimal oversight, driving work forward from concept through delivery. You have extensive knowledge of advanced data science methods and experience exploring and applying AI/ML techniques to create meaningful business impact. You have a strong working knowledge and hands-on programming experience with SAS, R, and SQL; familiarity with additional languages such as Python is a strong plus. Your excellent communication and collaboration skills enable you to clearly explain complex analyses and insights to both technical and non-technical stakeholders. What you'll get: A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. A full and comprehensive benefits program. Growth opportunities on a global scale. Access to career development through in-house learning programs and/or qualified tuition reimbursement. An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Travel Required: 5-15% Experience and Education Requirements: Typically requires a Bachelor's degree in a technical discipline, and a minimum of 8 - 12 years related experience or Master's degree and 5 - 7 years equivalent industry experience or a PhD and 2 -4 years of experience. Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at ****************************. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at ****************************. Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: ***************************************************** Code=MERITAIN_I&brand Code=MERITAINOVER/machine-readable-transparency-in-coverage?reporting EntityType=TPA_19874&lock=true To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications. Salary: $164,200.00 - $273,600.00

**We are more than a health system. We are a belief system.** We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. ** Summary:** This core faculty position is responsible for independently directing the ACGME required behavioral health education of Family Medicine residents to include: development of educational programs and curriculum, oversee resident development (e.g., direct observations, feedback, coaching, formal evaluations, etc.), lead relevant meetings, and co-counsel patients with resident physicians. This position serves as consultant and referral, either personally or for community referral information and directs Medical Education retreat programs and professional development at respective OhioHealth residency program(s). The position requires specialized depth of expertise in behavioral health achieved through practice, independent licensure, and advanced degree qualifications; leads others to solve complex problems; interprets internal and external business challenges; and recommends best practices to improve system delivery of behavioral health care and Graduate Medical Education. FACULTY ROLE & EXPECTATIONS Faculty members are a foundational element of graduate medical education - faculty members teach residents how to care for patients. Faculty members provide an important bridge allowing residents to grow and become practice-ready, ensuring that patients receive the highest quality of care. They are role models for future generations of physicians by demonstrating compassion, commitment to excellence in teaching and patient care, professionalism, and a dedication to lifelong learning. Faculty members experience the pride and joy of fostering the growth and development of future colleagues. The care they provide is enhanced by the opportunity to teach and model exemplary behavior. By employing a scholarly approach to patient care, faculty members, through the graduate medical education system, improve the health of the individual and the population. Faculty members ensure that patients receive the level of care expected from a specialist in the field. They recognize and respond to the needs of the patients, residents, community, and institution. Faculty members provide appropriate levels of supervision to promote patient safety. Faculty members create an effective learning environment by acting in a professional manner and attending to the well-being of the residents and themselves REPORTING STRUCURE Reports to respective Director of Medical Education (DME) with tasks assigned by the DME, Program Director, or designee. **Responsibilities And Duties:** 75% Offers Resident Education to include but not be limited to: Developing educational programs and curriculum, overseeing resident development, meeting with residents, and co-counseling patients with residents as part of education. Serves as a consultant and referral, either personally or for community referral information. Directs Medical Education retreat programs and professional development at respective OhioHealth residency program(s). 5% Works closely with patients 10% Performs Support Services 10% Participates in hospital and community committees for education and recruitment programs. **Minimum Qualifications:** Master's Degree (Required) **Additional Job Description:** **SPECIALIZED KNOWLEDGE** Degree in Mental Health or related field. Strong public speaking skills. Strong public health and educational teaching is necessary for this position. Excellent organizational and interpersonal skills. 3 - 5 yrs in similar position. **Work Shift:** Day **Scheduled Weekly Hours :** 40 **Department** Medical Education Join us! ... if your passion is to work in a caring environment ... if you believe that learning is a life-long process ... if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Principal Decision Scientist, you will be expected to work independently on client engagements, architect solutions and lead others on engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. As a Principal Decision Scientist, Machine Learning Engineer you will: Define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives Proactively research and apply knowledge within the data science space to deliver best-in-class solutions Lead both small and large teams over the entire data science lifecycle - from problem definition to model automation and deployment Provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself Manage all aspects of client relationships and create value-driving initiatives for the company Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Who we are looking for We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that, regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Degree in Computer Science, Engineering, Mathematics, or equivalent experience Experience designing deploying, and scaling Generative AI and machine learning systems in production, in production, including LLM/Model serving, orchestration, and GPU resource management on Kubernetes for high-volume, business-critical applications Experience with managing stakeholders and collaborating with customers Strong written and verbal communication skills required Ability to manage an individual workstream independently 5+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Willingness to travel Additional MLE Requirements Familiarity with traditional machine learning tools such as Python, SKLearn, XGBoost, SparkML, etc Experience with deep learning frameworks like TensorFlow or PyTorch Knowledge of ML model deployment options (e.g., Azure Functions, FastAPI, Kubernetes) for real-time and batch processing Experience with CI/CD pipelines (e.g., DevOps pipelines, GitHub Actions) Knowledge of infrastructure as code (e.g., Terraform, ARM Template, Databricks Asset Bundles) Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps Want to stand out? Consulting Experience Deep expertise in Generative AI and Large Language Models, with a strong focus on optimizing GenAI applications for performance, cost, and reliability Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the US, UK or COL. Atlanta, London and Medellin-based applicants will have the opportunity to work in our regional offices.

Job Title:Associate Principal Data Scientist (Remote) Requisition ID:R025545Job Description:Your Role Within Our KingdomWe are seeking an Associate Principal Data Scientist-a highly experienced and technically deep individual contributor who leads through influence, owns high-impact initiatives, and drives scientific excellence across experimentation and modeling. (This position is open to remote work.) Responsibilities: Lead the design and execution of large-scale data science initiatives, shaping the roadmap for experimentation and modeling across teams. Apply advanced statistical, optimization, and machine learning techniques (e.g., time-series, regression/classification, recommendation engines, reinforcement learning, and gen AI) to drive system understanding and develop data-powered solutions across the organization. Own design and evaluation of experimentation for optimization systems. Provide technical direction, mentor senior data scientists, and set high standards for scientific rigor, communication, and reproducibility. Partner cross-functionally with Product, Engineering, and Game Studios to frame ambiguous problems, scope solutions, and influence strategy. Champion innovation by evaluating new methodologies and tools, and by raising the bar for scalable, interpretable, and actionable data science. Skills to Create ThrillsMinimum Qualifications: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Operations Research). 14+ years of industry experience (or equivalent post-graduate experience) in data science, experimentation, statistical modeling, and machine learning, including work with large-scale systems. Proficient in Python and SQL; familiarity with big data tools (e.g., Spark, Hive) and cloud computing platforms (e.g., GCP, AWS). Strong systems thinking-able to zoom out and define strategy while also diving deep into code and analysis. Excellent communication and collaboration skills, with demonstrated experience partnering across Product, Engineering and Business teams. Demonstrated experience mentoring, influencing, and elevating the technical bar across a data science organization. Relevant experience with one or more advertising solutions (i.e. Real-Time Bidding, Ad Exchange, etc.) Bonus Points Prior work with mobile gaming studios or player behavior modeling. Experience in developing or maintaining experimentation platforms. Familiarity with modern data orchestration and versioning (e.g., Airflow, dbt, MLflow). We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply. We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics. Rewards We provide a suite of benefits that promote physical, emotional and financial well-being for ‘Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including: Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance; 401(k) with Company match, tuition reimbursement, charitable donation matching; Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave; Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others; If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance. Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting *************************************** In the U.S., the standard base pay range for this role is $143,060.00 - $264,846.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.

The Product, Experience & Technology Data and Analytics Senior Associate Data Scientist will play a key role in enhancing productivity and efficiency at Chase Bank. By providing insightful analysis and actionable insights, you will help improve prioritization and planning, reduce bottlenecks, and eliminate waste. Our focus is on raising operational standards and promoting collaboration across teams, using data-driven methods to guide investment decisions and align initiatives with business goals for maximum value. As a Senior Associate Data Scientist within the Product, Experience & Technology Data and Analytics team, you will develop and execute actionable data science and analytical solutions in a consulting-style environment to drive efficiency across the product development life cycle at Chase. You will play a crucial role in driving data-driven decision-making and optimizing our product development processes. You will work closely with cross-functional teams to analyze complex data sets, develop predictive models, and provide actionable insights that enhance our product offerings and operational efficiency. Job Responsibilities: Collaborate with product managers, engineers, and other stakeholders to understand business objectives and translate them into data-driven solutions. Analyze large and complex data sets to identify trends, patterns, and opportunities for improvement in the product development life cycle. Develop and implement predictive models and machine learning algorithms to forecast product performance and operational processes. Design and conduct experiments to test hypotheses and validate model outcomes, ensuring accuracy and reliability. Create and maintain dashboards and reports to visualize key metrics and insights, facilitating informed decision-making across teams. Stay up to date with industry trends, emerging technologies, and best practices in data science and analytics. Mentor data scientists and contribute to the development of a collaborative and innovative team environment. Required qualifications, capabilities, and skills: Bachelor's degree in data science, Statistics, Computer Science, or a related field Ability to tackle unstructured problems; strong learning aptitude require Exceptional communication (written and verbal) and presentation skills - an ability to communicate effectively with diverse audiences across business and technology partners, including senior leadership Experience with data analytics and/or visualization techniques (e.g. SQL, Python, Thoughtspot), as well as big data technologies (e.g. Hadoop, Cassandra, AWS) Proven experience (3+ years) in data science, analytics, or a related role, within the financial services or technology industry. Expertise in machine learning techniques, statistical modeling, and data mining. Excellent problem-solving skills and the ability to work with complex data sets to derive actionable insights. Strong communication skills, with the ability to present findings and recommendations to both technical and non-technical audiences. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Preferred qualifications, capabilities, and skills: Experience with Agile methodologies and proficiency in Atlassian tools like Jira and Jira Align to manage workflows and enhance team collaboration. Master's degree in data science, Statistics, Computer Science, or a related field

Job Description Forge Your Future with Us: At Forge Biologics, we believe in turning bold ideas into life-changing realities. Our mission is simple yet powerful: to enable access to life-changing gene therapies and help bring them from ideas into reality. We partner with scientists, physicians, biotech and pharma innovators, and patient communities - all united by one goal: improving lives. If you're driven by purpose and excited to make a tangible impact, this is where your journey begins. Our team works out of The Hearth, a state-of-the-art, 200,000-square-foot cGMP facility in Columbus, Ohio. Here, you won't just watch innovation happen - you'll be part of it. Whether you're scaling AAV manufacturing, collaborating on cutting-edge therapies, or supporting complex technical projects, you'll play a key role in bringing hope to patients with genetic diseases. What sets Forge apart is our culture of H.O.P.E. We are hardworking, showing up each day with determination and grit. We are open, creating a space where ideas flow freely and every voice is valued. We are purpose-driven, with every task directly tied to changing lives. And we are engaged, energized by the challenges we face and the milestones we achieve together. At Forge, your growth matters. We're committed to helping you expand your skills, take on new challenges, and develop your career through mentorship, hands-on learning, and opportunities for advancement. Our people are our greatest investment, and we're proud to see team members grow with us. If you're ready to use your talent to help deliver hope to patients around the world, join us - and be part of something bigger than yourself. Position Overview The Sr. Associate Data Scientist, PD - Upstream performs data analysis, laboratory documentation, and reporting for AAV Upstream Process Development. This individual compiles experimental data, maintains datasets, and drives technical documentation and process transfer activities. They play a key role in ensuring data quality and supporting innovative process development strategies. What You'll Do: Generate and maintain a centralized AAV Upstream Process Development database. Propose solutions and recommendations based on team feedback. Compile experimental data for reports and responses to data inquiries. Prepare datasets, presentations, and dashboards for AAV Upstream Process Development. Compile data to drive development of innovative process development strategies. Present results and contribute to publications and reports. Support process transfer activities from Process Development to GMP. Review protocols, lab notebooks, and batch records for clarity and consistency; recommend adjustments and improvements. Generate templates for lab notebooks, presentations, and development reports for AAV Upstream Process Development. Identify potential errors or inconsistencies in team data and provide constructive feedback. Bring forward a continuous learning mentality seeking to both align with and improve upon best practices for data analysis in AAV Upstream Process Development. What You'll Bring: Bachelor's degree in Chemical Engineering, Biomedical Engineering, Biology or related discipline (or equivalent experience) OR bachelor's degree in Data Science, Data Analytics, Data Engineering, or related discipline (or equivalent experience) with a minimum of 4 years' experience. Additional qualifications in Data Science, Data Analytics, Data Engineering, or related discipline, such as an associate's degree, certification, or relevant coursework OR additional qualifications in Chemical Engineering, Biomedical Engineering, Biology or related discipline, such as an associate's degree, certification, or relevant coursework. Previous data or Software Engineering role in Biology, Chemistry, or other Life Science Industry. Experience analyzing datasets and utilizing the corresponding data to influence decision making. Working knowledge of cell culture techniques utilizing mammalian, insect, or microbial cells. Experience reviewing experimental data. Prior experience assisting in the training and development of other team members. Experience working with any of the following: Benchling, Excel, JMP, SQL, or Power BI. Preferred Predictive modeling, hybrid modeling, or computational fluid dynamics (CFD) experience is a plus. Experience working with viral vectors (AAV, Lentivirus, etc.). Experience and know-how for biopharmaceutical processing and scale up (both Upstream and Downstream) is preferred. Physical Requirements The position works in a typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. The employee will be stationary (standing/sitting) for extended periods of time. Ability to identify small details within the field of vision, distinguish between different colors, and accurately identify objects within a specific area. Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We've Got You Covered: At Forge Biologics, we believe our people deserve to be taken care of - in and out of the workplace. We've built a comprehensive compensation and benefits package designed to help you thrive, grow, and feel valued every step of the way: Health from day one Health, dental and vision insurance start your first day - with 90% of premiums covered for you and your family. Time to recharge A competitive paid time off plan - because rest fuels innovation. 12 weeks of fully paid parental leave so you can focus on family when it matters most. Rewarding your impact Annual bonus opportunities for all full-time team members. 401(k) with company match to help you plan for the future. Special employee discounts, including childcare and dependent care savings. Your wellness, supported Onsite fitness facility at The Hearth. Mental health counseling and financial planning services through our Employee Assistance Program. Employer-paid short and long-term disability coverage to protect your peace of mind. Fuel for your workday A fully stocked kitchen with free snacks and beverages - we keep you energized and ready for what's next. Grow with us Ongoing professional development resources, training, and mentorship programs to help you build your care and grow within Forge.

Career CategoryScientificJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Scientist - Inflammation Biomarkers What you will do Let's do this. Let's change the world. In this vital role you will help drive scientific and technical plans collaboratively with other members of the Precision Medicine function, as well as with members of the Amgen research and development community. You will successfully partner with cross-functional stakeholders to drive clinical biomarker innovation for clinical-stage assets in inflammatory diseases. The Principal Scientist will possess biomarker expertise in inflammatory and/or rare diseases such as arthritis, atopic dermatitis, inflammatory bowel disease, lupus, asthma, and/or autoimmune endocrinopathies. Key Responsibilities: Preparing clinical biomarker strategies, leading biomarker development, implementation, and execution for one or more programs Responsible for biomarker elements in clinical protocols, biomarker analysis plans, regulatory submissions, investigator meetings, advisory boards and publications Build productive relationships with team members and functional groups for integrating an aligned and prioritized clinical biomarker evidence plan that addresses clinical objectives and translational research Partner with cross-functional stakeholders including to drive biomarker innovation at product level Establish and implement biomarker studies and collaborations with academic laboratories/KOLs Interpret and communicate key clinical biomarker findings to cross-functional teams including Precision Medicine teams and leadership Responsible for robust clinical biomarker plans to deliver patient stratification/selection, pharmacodynamics, mechanism of action and resistance evidence from clinical trial samples What we expect of you We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications. Basic Qualifications: Doctorate degree in a bioscience or medical discipline and 2 years of industry experience Or Master's degree in a bioscience or medical discipline and 4 years of industry experience Or Bachelor's degree in a bioscience or medical discipline and 6 years of industry experience Or Associate's degree in a bioscience or medical discipline and 10 years of industry experience Or High school diploma / GED and 12 years of directly related industry experience Preferred Qualifications: PhD with 3 or more years pharmaceutical industry experience, developing biomarker strategies in a clinical development setting and/or in preclinical biomarker discovery/validation Knowledge and translational biomarker experience in inflammation is highly desirable Strong background in immunology, cell biology and genomics Clinical development experience working with cross-functional teams conducting clinical trials Experience in developing program-based strategies for pharmacodynamic, predictive, and exploratory biomarkers Experience implementing a broad array of biomarker platforms and technologies to support clinical-stage programs Demonstrated ability to establish and implement biomarker studies and collaborations with academic laboratories/KOLs Experience in assay development and qualification and analysis of clinical samples Experience managing biomarker assay outsourcing processes with external vendors and CROs Poise and professionalism with strong communication and influencing skills in a dynamic environment What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team.careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 164,066.00 USD - 196,151.00 USD

States considered: The Zoetis Veterinary Medicine Research & Development (VMRD) is seeking a scientist to join our team to provide immunogenicity support for novel protein therapeutics for veterinary medicine. The successful candidate will be primarily responsible for providing oversight of the immunogenicity testing and interpretation strategy across multiple biotherapeutic programs. This position will require a highly motivated and independent leader who can effectively collaborate with cross-discipline team members to advance projects. POSITION RESPONSIBILITIES: Develop immunogenicity assessment strategy for biotherapeutic candidates consistent with the immunogenicity risk assessment and with applicable guidance and best practices. Collaborate with bioanalytical scientists in the development of ADA and NAb assay methods. Support pre-clinical, safety and clinical teams conducting in vivo studies.to ensure appropriate testing of immunogenicity. Interpret and present immunogenicity data and provide assessment of potential clinical impact to project teams and management. Author components of study reports, regulatory submissions, and technical documents Work collaboratively and communicate effectively with multidisciplinary teams to design and prosecute studies in line with the strategic direction of the project. Self-starter, able to prioritize work, adapt to shifting priorities, and work efficiently with minimal supervision. REQUIRED EDUCATION AND EXPERIENCE: Ph.D in immunology, pharmacology, biochemistry or related field with 4 or more years of relevant pharmaceutical development experience Proven industry experience in assessing immunogenicity of biotherapeutics with demonstrated publication record on the topic. In-depth understanding of the innate and adaptive immune system. Detailed knowledge of various bioanalytical assays used to measure the immune response. Excellent verbal and written communication skills. Detailed knowledge of global regulatory guidelines related to immunogenicity assessments. DESIRABLE SKILLS: Knowledge of immunogenicity prediction tools and assays. Background in statistical analysis of cut points. Experience interacting with regulatory agencies. The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (Colorado). Base pay may vary based on location and other factors. Base Pay Range: $111,000 - $160,000 The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (California), (NJ Remote), (NY Remote), or (Washington). Base pay may vary based on location and other factors. Base Pay Range: $126,000 - $181,000 We offer a competitive and comprehensive benefits package, which includes healthcare, dental coverage, and retirement savings benefits along with paid holidays, vacation and disability insurance. Full time RegularColleague Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search. Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at ********************************** to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at ********************** site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.