Research And Development Scientist remote jobs - 435 jobs

About Us At Matterworks we are building AI tools to extract insights from the ever-growing corpora of biological data and to unlock opportunities in therapeutic discovery, development, and manufacturing. We are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems. Position Overview As a Principal Machine Learning Scientist, you will be a technical leader for our research and development efforts. You will be responsible for setting the long‑term technical vision and strategy for our deep learning architecture. This is a strategic, hands‑on role for a scientist who is passionate about architecting foundational neural networks and can lead ambitious, multi‑year research and engineering initiatives. You will be instrumental in guiding the company's scientific direction and mentoring our talented team of scientists. Key Responsibilities Architectural Vision and Strategy: Define and drive the long‑term vision for our core deep learning architecture. Make critical decisions on the foundational design of our neural networks to ensure they are scalable, robust, and optimized for interpreting mass spectrometry data. Foundational Model Development: Lead the conceptualization, design, and implementation of innovative deep learning models. Your work will involve creating novel network architectures and algorithms tailored to scientific discovery. Scientific Leadership: Provide intellectual leadership to the machine learning team and the broader company. Stay at the forefront of academic and industry advancements in deep learning, particularly as they apply to chemistry and biology, and guide the team in applying cutting‑edge techniques. Cross‑Functional Collaboration: Work closely with leadership in engineering, product, and scientific discovery to align machine learning initiatives with company‑wide goals. Mentorship and Guidance: Mentor and develop our team of machine learning scientists, fostering a culture of technical excellence, creativity, and rigorous scientific inquiry. Qualifications Ph.D. in a quantitative field such as Computer Science, Chemistry, Physics, or a related discipline, or equivalent research experience. 10+ years of experience in machine learning, with a significant focus on architecting novel deep learning systems. Demonstrated experience in leading the architectural design of complex deep learning systems. This should be evident through publications, patents, or a portfolio of shipped products. Expertise or strong familiarity with machine learning for spectral analysis, molecular structure prediction, or novel molecular representation learning is highly preferred. A strong publication record in top‑tier machine learning or scientific journals (e.g., NeurIPS, ICML, Nature, Science) is highly desirable. Proficiency with common scientific data formats (e.g., HDF5, mz ML, zarr). Working at Matterworks Given the cross‑disciplinary and innovative nature of our work, effective collaboration and communication are critical to our progress. We operate in a flexible hybrid model that accommodates both fully remote team members and those who work full‑time from our Somerville, MA office. While some positions may require regular in‑person presence for hands‑on work or local collaboration, many roles can be performed remotely with team members distributed across various locations. Compensation and Benefits Matterworks offers a competitive base salary, stock options, and benefits (health & dental, vision, long‑ and short‑term disability, life insurance, 401k with company match). Employees enjoy a flexible work & unlimited time away policy, commuter benefits and parking, regular team meals and outings, and company support for continued education/coursework and conference participation. Matterworks, Inc. is an equal opportunity employer. All candidates for employment at Matterworks are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other category protected by law. #J-18808-Ljbffr

A biopharmaceutical firm is seeking a Senior Machine Learning and Quantum Chemistry Scientist to advance quantum chemistry foundation models. The ideal candidate should hold a PhD and have extensive experience in quantum chemistry and machine learning. Responsibilities include model development and communication of research results. The position offers full-time work with health insurance and lunch vouchers, along with remote work options. #J-18808-Ljbffr

A leading AI research accelerator in San Francisco is looking for candidates proficient in English and analytical skills to assist in training large language models. This role demands independence, creativity, and the ability to work flexibly in a remote environment. Ideal candidates should possess a degree in relevant fields and have experience in professional writing. Join us for an exciting opportunity in the rapidly evolving AI landscape. #J-18808-Ljbffr

A leading automotive company is seeking a Senior Systems Data Scientist for their Autonomous Vehicle organization. This hybrid role involves developing data-driven methodologies to measure confidence in AV validation results, collaborating with cross-functional teams, and simplifying complex analytical methods. Candidates should have an advanced degree in data science or a related field, with at least 4 years of experience in data analytics, proficiency in Python and SQL, and strong communication skills. This position is pivotal for advancing AV technology. #J-18808-Ljbffr

Principal Scientist (Contract to Perm); Hybrid in office 3 days per week Description Reporting to the VP, Clinical Pharmacology, the Principal Scientist will work with Discovery Research and Development team members, to support PPK/PKPD/ER dataset preparation and exploratory data visualization, across early and late-stage programs. This role may be based in our Waltham, MA headquarters, which would be a hybrid role, or it can also be fully remote. Our office-based employees are required to work in the office three (3) days a week. If remote, travel to headquarters for meetings would be required at the discretion of management. This role is a contract-to-hire position. Responsibilities (including, but not limited to): Clean PK/Immunogenecity related datasets Perform PK database lock Transform the relevant STDM and ADaM datasets, and other sources of data to enable PPK, PKPD and ER analyses Develop SAS (or R) codes to perform data visualization, descriptive statistical summary in TLFs Ensure dataset formatted according to CDISC standard Collaborate with biostatistics programmers, statisticians, and pharmacometricians, to ensure data consistency and accuracy for general PK, PK/PD and ER analyses Stay informed with the emerging literature in programming approaches in PMx field Maintain current understanding of global regulatory expectations for CDISC requirements Requirements Requires an MS or PhD or equivalent in educational background in Statistics, Mathematics, Informatics, Chemical engineer, Computer Science, Pharmaceutical Science, or a related field with 10+ (MS degree) or 5+ (PhD) years of clinical pharmacology related programming or data science experience Seasoned in SAS programming (or R) Experienced with CDISC (eg, STDM, ADaM) standards, and experienced with Clinical Pharmacology related datasets (eg, PC, adpc, adpp, and PPK/ER datasets) Demonstrated ability to handle uncleaned data, identify data issues, and implement different programming procedures according to the pharmacometrics modelling needs Excellent attention to fine data details

## Job DescriptionThe Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 is not your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.We are delighted to be hiring a Staff Machine Learning Scientist for the AI Agent product at Zendesk. You will own a designated product area and revolutionize how our customers experience our products. This is an exciting opportunity to bridge the gap between cutting-edge ML research and real-world impact. You'll have the freedom to shape the product roadmap, discover innovative ML applications, and collaborate with a talented cross-functional team.## What You will do (Responsibilities):* You'll be part of a team responsible for designing and testing novel AI solutions for real business problems* You'll own the full research projects end-to-end from understanding business requirements to design, implementation, experimentation and reporting* You'll discuss your and others ideas in the research team regularly and provide peer review for your colleagues work* You'll keep up with the NLP and ML fields and literature and introduce new concepts discovered as potential solutions to our business problems* You'll work closely with AIengineers helping them implement your designs into our production system* You'll use suitable tools and technologies for rapid implementation and quickly testing your hypotheses while keeping in mind the requirements of future production implementation* You'll collaborate with Product managers and other non technical stakeholders to discover product roadmap.## ## Who you are:* Degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, etc.* Proven record of Machine Learning or NLP research, ideally in industry.* Knowledge of building deep learning neural network architectures, ideally with focus on NLP.* Ability to implement ideas from research literature into proof-of-concept models.* Practical approach for researching machine learning solutions to business problems.* Huge bonus if you have experience with LLMs, Prompt Engineering and AI Agent Context Management.* Ideally have experience with conversational AI and voice technologies, including text-to-speech (TTS) and speech-to-speech (STS).* A positive, pro-active team player who is passionate about their craft, is keen to take part in product discussions and cares about helping the team deliver.* Great communication skill and fluency in English.* How well your work aligns with the overall product roadmap and strategic goals.* Effectiveness in collaborating with product managers, engineers, designers, and other stakeholders* Discovery and Ideation - ability to identify new opportunities within the product area, as well as their ability to prioritize and champion these ideas.## The Interview Process:We are excited to learn more about you, so we want to be transparent about what you can expect from our interview process: 1. Initial Call with Talent Team - 15 mins2. Interview with one member of the Hiring Team - 45 minutes3. Take-home technical/research challenge4. A technical interview with two of our scientists to talk more in-depth about your technical experience and answer any questions you might have - 1 hour5. Final interview with 2 of the following: CTO or Engineering Manager/Director - 45 minutes## About ZendeskZendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.to learn more about how we engage with, and provide support to, our local communities. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk's use of your personal information.#LI-MK12**The intelligent heart of customer experience**Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please .Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to *************************** with your specific accommodation request. #J-18808-Ljbffr

A leading health services provider is seeking a Senior Responsible AI Data Scientist. This remote role focuses on ethical AI development across various teams, requiring strong Python skills and experience in the healthcare industry. You'll ensure that AI systems align with organizational values and regulatory standards. Candidates must have a background in quantitative fields with significant experience in machine learning applications. #J-18808-Ljbffr

Job Term: Full-time The Opportunity: Reporting to the Director of Americas Sales in our Environmental BU, this role will play a pivotal role in support of field sales of scientific instruments. This is a high-impact role that is critical to our goals. The Field Application Scientist will be responsible for functions that drive top-line growth, including, but not limited to, traveling to customer sites to engage in technical discovery, business development, and helping to protect new business. The Field Application Scientist will help keep account managers informed of new markets and product offerings, and also attend conferences and trade shows as needed. The Field Application Engineer will develop meaningful relationships with our customers to collaborate on new product breakthroughs. Responsibilities: Assist the Americas field organization to meet or exceed sales goals through hands-on technical expertise of Picarro's CRDS instruments. Prospect and perform technical discovery to help find new business in cooperation with account managers. Understand customers' applications and recommend solutions to meet their needs. Conduct product demonstrations and run samples. Identify and articulate unique Picarro product strengths. Perform product installations and follow-up to ensure customer satisfaction. Act as the customer voice inside Picarro to influence future product direction. Assess potential new applications and develop methods to be used with Picarro systems. Participate in conferences, trade shows, and other forums. Document work in CRM and work collaboratively with the team. Assist product managers at our headquarters with application development. Qualifications: B.S. in Earth or Geosciences, M.S. or Ph.D. preferred. Hands-on experience with laser optical instruments, isotope ratio mass spectrometry or other trace gas analyzers. Excellent presentation and communication skills. Preference will be given to Spanish-speaking candidates. Reporting to the Director of Sales, Americas. Up to 50% domestic and international travel. Remote position, Eastern US or Canada.

Labcorp Genetics (formerly Invitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. The genomics insights team leverages clinical genomic expertise, our massive genetics, laboratory and linked public/private datasets, and the latest AI/ML technologies to improve diagnosis, clinical care, and treatment options. We design and develop robust, quantitative, and scalable systems for variant interpretation and disease insights. Our research findings are broadly disseminated to improve testing guidelines, optimize reimbursement rates, and educate the healthcare ecosystem. We are seeking a Lead R&D Data Scientist to join our team and contribute to these initiatives. Duties and Responsibilities: Lead and deliver the translation of complex biological and clinical questions into actionable analysis plans. Architect and implement robust data pipelines that integrate large-scale genomic, phenotypic, laboratory, and real-world clinical datasets. Conduct repeatable data analysis and modeling with a high degree of scientific and statistical rigor, for complex tasks such as understanding patient trajectories, elucidating variant effect, and identifying genotype-phenotype associations. Write clean, maintainable, and well-documented code following best practices for version control, testing, and scalability. Prepare technical reports, peer-reviewed publications, and conference presentations to share research outcomes with internal stakeholders and the broader scientific community. Collaborate closely with both internal and external stakeholders to drive impactful research and development initiatives. Ensure high standards of data privacy, security, and compliance are maintained in all projects. Qualifications: Masters degree, or equivalent industry experience in Computer Science, Statistics, Data Science, Computational Biology, or a related field. 5+ years of hands-on experience in data science and statistical methods, as applied to large biomedical datasets. Experience working within a collaborative technical team with strong software engineering practices. Proficiency in modern programming languages (Python and SQL), shell scripting, and version control (Git). Experience with data management, ETL, and business intelligence tools. Excellent communication skills for presenting research findings to diverse audiences. Preferred Qualifications: Ph.D Experience with big data technologies (Snowflake, Databricks, etc.) and visualization/dashboarding (Looker, Dash, etc.). Experience with high performance computing (SGE etc.). Experience in the development and validation of complex computational models for biological data, in particular machine learning and bioinformatics techniques. Understanding of data privacy, security, and ethical considerations in clinical and biological research. Previous published work in genetics, functional genomics, or clinical research. This position is not eligible for visa sponsorship. Application window closes: 02/14/2026 Pay Range: $100,000.00 - $155,000.00 a year Schedule/Shift: M-F, 8-5 EST All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers. Compensation may also include discretionary short- and long-term incentive packages. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

About this role We are looking for an experienced Machine Learning Scientist III to join our content recommendations team. In this role, you will be at the core of building and optimizing ML-based recommender systems (e.g., image and content recommendations, homepage and email optimization and personalization) to enhance the customer experience at Wayfair. Your work will directly impact how millions of customers discover and engage with products, driving significant business value. As part of Wayfair's SMART (Search, Marketing, and Recommendations Technology) team, you will collaborate with ML scientists, engineers, and product teams to develop and deploy cutting-edge recommendation models that operate at scale. This role is an opportunity to solve complex problems related to personalization, large-scale machine learning, latency, and scalability while leveraging state-of-the-art (SOTA) AI techniques. What you'll do * Develop and optimize recommendation models that power personalized experiences across Wayfair's site, app, email, and push notifications. * Conduct applied research to improve recommender systems using traditional ML techniques, deep learning and reinforcement learning. * Build scalable ML pipelines for training, evaluation, and inference, ensuring models operate efficiently in production. * Work closely with engineering teams to deploy models in a production environment, addressing real-world constraints such as latency, interpretability, and scalability. * Analyze model performance and iterate based on A/B test results, offline evaluation metrics, and business impact. * Leverage and contribute to open-source ML frameworks while staying up to date with cutting-edge research in recommendation systems. * Drive innovation by identifying opportunities to improve personalization strategies and developing novel algorithms that enhance customer engagement. * Collaborate with cross-functional teams including product managers, software engineers, and data scientists to align ML objectives with business goals. * Mentor other less experienced scientists on the team Who you are * 5+ years of experience developing and deploying machine learning models, with a focus on recommendations, ranking, or personalization. * Strong theoretical understanding of machine learning and deep learning applied to large-scale recommendation problems. * Experience in training, evaluating, and optimizing recommendation models in production, leveraging techniques such as collaborative filtering, sequence modeling, representation learning and multi-armed bandits. * Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. * Familiarity with big data processing (Spark, Hadoop) and ML pipeline orchestration (Airflow, Kubeflow, MLflow). * Strong coding skills and familiarity with building scalable ML systems in cloud environments (AWS, GCP, Azure). * Ability to design experiments and analyze results using A/B testing and statistical techniques. * Excellent communication skills, with the ability to explain complex ML concepts to non-technical stakeholders and drive data-driven decisions. Nice to have * Experience developing core recommendation systems for eCommerce, marketplaces, or streaming platforms. * Familiarity with reinforcement learning or contextual bandits for adaptive recommendation strategies. This role offers the opportunity to work on high-impact ML problems at scale, shaping the future of personalization and recommendations at Wayfair. If you're passionate about building intelligent systems that enhance customer experiences, we'd love to hear from you! Why You'll Love Wayfair: * Time Off: * Paid Holidays * Paid Time Off (PTO) * Health & Wellness: * Full Health Benefits (Medical, Dental, Vision, HSA/FSA) * Life Insurance * Disability Protection (Short Term & Long Term Disability) * Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships) * Mental Health Support (Global Mental Health, Global Wayhealthy Recordings) * Caregiver Services * Financial Growth & Security: * 401K Matching (Employee Matching Program) * Tuition Reimbursement * Financial Health Education (Knowledge of Financial Education - KOFE) * Tax Advantaged Accounts * Family Support: * Family Planning Support * Parental Leave * Global Surrogacy & Adoption Policy * Professional Development & Recognition: * Rewards & Recognition * Global Employee Anniversary Awards * Paid Volunteer Work * Unique Perks: * Employee Discount * U.S. Bluebikes Membership * Global Pod Outings * Work/Life Balance: * Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments Wayfair's In-Office Policy: All Mountain View-based interns, co-ops, and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days, Tuesday, Wednesday, and Thursday, and work remotely the other 2 days of the week. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. Need Technical Assistance? For more information about applying for a career at wayfair, visit our FAQ page here. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We're building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint. Why Trafilea We're a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast. 🚀 We build and scale our own brands. 🦾 We invest in AI and automation like few others in eCom. 📈 We test fast, grow fast, and help you do the same. 🤝 Be part of a dynamic, diverse, and talented global team. 🌍 100% Remote, USD competitive salary, paid time off, and more. Job Responsibilities We're looking for a creative and results-oriented Growth Product Lead to design and deliver hands-on, value-driven experiences that customers engage with on a recurring basis. Our Subscriptions Tribe is responsible for scaling programs like Shapermint Club, Autoship, ShaperBox, and Credits into sustainable, high-performing initiatives that drive recurring revenue, increase order share, and maximize customer lifetime value. As Product Lead - Subscriptions & Loyalty, you will partner closely with Product Manager Camila Rodríguez and the Subscriptions Tribe to execute initiatives that strengthen retention, optimize subscription funnels, and deliver measurable improvements in churn, repurchase rate, and LTV. Own subscription growth experiments across Club, Autoship, Shaperbox, and Credits, turning hypotheses into MVPs and quick-win pilots. Map and optimize subscription journeys (onboarding, renewal, cancellation) to reduce friction and improve retention. Execute data-driven initiatives with clear KPIs (churn, RR45D, LTV uplift) and share insights through dashboards and reports. Collaborate daily with Product, Marketing, CX, BI, and Tech to align on roadmap priorities and manage dependencies. Design bold retention mechanics and personalization flows based on customer feedback, cohort analysis, and behavioral signals. Drive influencer/ambassador-style engagement by ensuring community-driven and loyalty mechanics connect with customer needs. Run agile practices (sprints, stand-ups, retros) to keep squads accountable and reduce operational load for Tribe leadership. Prioritize and scale successful pilots into playbooks for global markets (US, CA, UK, AU), fueling recurring revenue growth. Job requirements 2-4 years of experience in Growth/Product, ideally in e-commerce or SaaS. Strong growth-marketing mindset: designs hypotheses, tests quickly, iterates weekly. Fluent in cohort analysis, dashboards, churn, and retention metrics. Execution-driven: hands-on with no-code pilots, flow-building, and CRM triggers. Strong collaboration in cross-functional squads. Clear communication: async documentation and storytelling with data. Exposure to subscriptions or loyalty; deeper technical/financial skills to be built on the job. Basic agile methodology knowledge with willingness to own squad leadership practices. All done! Your application has been successfully submitted! Other jobs

The postdoctoral research associate will participate in all stages of the project including participant recruitment and retention, quantitative and qualitative data analysis, scholarly article and proposal writing, and planning, implementing, and evaluating educational outreach efforts based on the findings of the research. They will also oversee a detailed transcription process for speech samples and engage in mentoring junior research team members. The candidate will be supported in pursuing the scientific aspects of the project that best contribute to the development of their own independent line of research. The position offers a competitive salary and benefits, funds for professional development (e.g., methods workshops), and travel funds. The research associate will be appointed for nine months, with the potential to renew for a second year based on successful performance and funding availability. The postdoctoral research associate will be mentored by Dr. J. Scott Yaruss. Applicants will be selected based on their academic achievement, scholarly productivity, and promise in research. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Communicative Sciences and Disorders Minimum Requirements Completion of a PhD. The PhD should be attained by the start of the appointment. A background in communicative sciences and disorders Experience with transcription of speech samples Desired Qualifications Understanding of automated speech recognition (ASR) voice AI systems Experience with CLAN/CHAT codes for transcribing speech for TalkBank Required Application Materials Applicants should include a letter of interest and a current curriculum vitae with contact information for three references. Special Instructions To apply for this position, please refer to posting #1030161 and complete an electronic submission at the Michigan State University Employment opportunities website, https://careers.msu.edu. Direct questions to: J Scott Yaruss, PhD, jsy@msu.edu Review of Applications Begins On 04/22/2025 Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website https://comartsci.msu.edu/departments/communicative-sciences-and-disorders Department Statement The Department of Communicative Sciences and Disorders has active research laboratories and multiple endowments to support student and faculty development. The Departments thriving undergraduate major and minor, MA, and PhD programs prepare students for successful clinical and research careers in speech-language pathology and related fields. The Department is housed within MSUs world-renowned College of Communication Arts and Sciences. The College provides excellent infrastructure for pre-award extramural grant submission, post-award grant administration, and information technology support for research and teaching. MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI Scientist - Modern AI Applications 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations. Key Responsibilities Research & Innovation Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. Healthcare-Focused AI Development Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on Agentic and Generative AI within project teams. Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models. Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models. Experience in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Preferred Skills Multi-modal AI research experience (text, image, structured data). Knowledge graph integration and symbolic reasoning expertise. Proven ability to take AI research from concept to production. Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Familiarity with cloud platforms (AWS) and MLOps practices. Work location: US Remote Travel: May include up to 10% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

The Data Science team at Penguin Random House is seeking two Machine Learning Scientists to build and improve machine learning products that power how we understand demand, set strategy, and connect readers with books. We're hiring across both our recommendation and pricing teams. In this role, you'll use rich datasets to build sophisticated models that either recommend books to readers or help price books for the market. Our recommendation systems drive discovery across our digital channels and marketing, while our pricing products model market response to optimize revenue and mitigate risks to sales and brands. As the world's leading publishing house, Penguin Random House is AI-forward and continues to invest in modern machine learning to shape the future of book discovery, sales, and customer engagement. Our Data Science team applies ML across personalization, forecasting, pricing, and experimentation, and we actively explore emerging AI capabilities when they can meaningfully improve customer experiences. This role spans the ML lifecycle; from problem framing and prototyping to production and iteration, with a strong emphasis on writing robust, maintainable software and using modern AI tools thoughtfully to accelerate development. **Specific responsibilities include:** + Owns the ML lifecycle: Frames problems, prototypes solutions, validates performance, and iterates based on measurement and feedback. + Applies sound statistical and ML practices for feature development, training, evaluation, validation, and maintenance. + Defines success metrics and uses offline evaluation plus online experimentation (including A/B tests) to validate performance, monitor quality over time, and drive ongoing iteration. + Partners with engineering and platform counterparts to productionize models, including repeatable training, deployment workflows, monitoring, and refresh strategies. + Diagnoses model performance issues and data quality problems; communicates findings and recommended actions clearly to stakeholders. + Writes maintainable, production-minded code and contributes to team standards (code review, documentation, reproducibility, and testing where appropriate). + Stays current on applied ML and uses modern AI tools to accelerate exploration, questioning, and implementation without sacrificing quality. **Please apply if you meet the following qualifications:** + Master's with 2+ years of applied work experience OR PhD in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related quantitative field + Strong proficiency in Python and common ML frameworks and libraries (for example PyTorch or TensorFlow). + Strong SQL skills and experience working with large datasets for feature development, analysis, and validation. + Experience taking models from development to production (batch scoring, APIs, or downstream integration). + Solid understanding of experimentation and measurement. + Be cutting edge. Use the latest AI tools to develop well-designed and robust software. + Strong communication skills and ability to translate between business goals and technical solutions. + Familiarity with cloud and modern data/ML tooling (AWS, Databricks, Docker, Kubernetes, Spark, or similar). + Exposure to MLOps concepts and tooling (model registries, pipelines, monitoring, reproducibility). **Preferred qualifications:** We welcome candidates with depth in **either** (or both) of these applied ML areas: **Forecasting** + Experience with time series forecasting, causal/market-response modeling, optimization, or risk-aware modeling. + Familiarity with automated model retraining, monitoring, and long-running model maintenance. **Personalization** + Experience with recommender systems, ranking/retrieval, personalization, segmentation, propensity modeling, or targeting. + Familiarity with experimentation, measurement, and online evaluation. **_Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location._** **The salary range for this position is $130,000 - $175,000. All positions are currently eligible for an annual profit award or bonus, subject to company results. ** **Applications for this role will be accepted through February 10, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.** Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at *********************************** Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. **Company:** Penguin Random House LLC **| Job ID:** 285679 + Apply Now + Start applying with LinkedIn + **Please wait...**

About Sandia: Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: + Challenging work with amazing impact that contributes to security, peace, and freedom worldwide + Extraordinary co-workers + Some of the best tools, equipment, and research facilities in the world + Career advancement and enrichment opportunities + Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) + Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* *These benefits vary by job classification. What Your Job Will Be Like: We are seeking a staff scientist candidate with demonstrated publication record or relevant experience to join the Sandia Quantum Information Science (QIS) department and contribute to research areas that address meaningful problems and applications in the field of quantum computing. You will be part of a much broader QIS program at Sandia and within the DOE National Laboratories complex and will have an opportunity to engage with researchers and teams across the industry. In this role, you will lead research at the frontier of practical and theoretical quantum computer science, publish widely, advise junior researchers, deliver results to mission customers, and identify and solve compelling research problems. On any given day, you may: + D evelop and implement new ML and AI methods for assessing and improving the performance of quantum computers + Develop algorithms and applications for quantum computers informed by near-term and long-term needs + Interact and collaborate with a diverse set of experimentalists and other theorists at Sandia, academic institutions, other national labs, and private companies + Engage and/or lead in test and evaluation efforts with customers and sponsors + Take ownership of technical projects, publish outstanding new developments in peer-reviewed scientific journals, and present your work at conferences + Gain broad experience in and lead QIS programs across the US Government enterprise The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to one of the assigned work locations when necessary. Salary Range: $135,700 - $270,900 *Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential. Qualifications We Require: + A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development + Ability to obtain and maintain a DOE Q-level security clearance Qualifications We Desire: The ideal R&D S&E Computer Science candidate for Sandia National Laboratories will in addition possess the following: + Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation) + Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile) + Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills Also, for this posting we are seeking individuals with the following experience: + Ideally, a PhD in Computer Science, Physics, Electrical Engineering, Mathematics, Chemistry, AI, or a related science or engineering field + Demonstrated research experience in quantum computation and information science (including quantum algorithms, characterization of quantum hardware, design and modeling of qubits, quantum error correction, etc.) + Experience in scientific software development in Python, including collaborative code development, code verification, and modern software quality practices + Experience turning math into code + Experience with ML code development, using ML software such as TensorFlow, and the application of ML to scientific research problems + Record of research as demonstrated by publications in peer-reviewed journals, competitive conference proceedings, or high-impact program deliverables + Experience using quantum computing testbeds and/or collaboration with experimental efforts developing quantum technologies + Demonstrated experience developing or analyzing the performance of quantum architectures and quantum algorithms for fault-tolerant quantum computing + Interest in impacting applications and customers in support of DOE missions About Our Team: Sandia's Quantum Information Science department develops algorithms and tools that enable test and evaluation of experimental hardware, algorithms and software stack for near-term quantum computers, and sensing capabilities in support of mission applications. Department R&D focuses on noise characterization, benchmarking, simulation, error models, quantum control, quantum algorithms, and quantum sensing. The Department closely collaborates with researchers in related areas working on similar pursuits; closely collaborates with experimentalist groups at Sandia working on developing practical qubits in various technologies; has strong working relationships with the U.S. Department of Energy (DOE) offices and other U.S. government agencies interested in quantum information science (QIS); and collaborates, broadly, with academic and commercial colleagues in the external QIS research community. Through the department, you will also have the opportunity to join the The QPL and QuAAC groups, which are multidisciplinary research and development groups within Sandia. The QPL develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware, serving the needs of the U.S. government, industry, and academia. It also works closely with a wide range of partners in industry and academia to develop new performance assessment tools and apply them to newly developed quantum computing platforms. The QuAAC works on all aspects of quantum algorithms, including the design and analysis of new algorithms, establishing conditions for quantum advantage, and resource estimates for problems in science and engineering. It also collaborates broadly with scientists in academia, industry, and other national labs. Both groups are geographically dispersed but maintain a strong culture of collaboration and are committed to advancing the field of quantum computing. The QPL and QuAAC teams publish their research in scientific journals including Nature, Nature Physics, Nature Communications, Physical Review X, PRX Quantum, and Physical Review Letters. Posting Duration: This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance: Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs: If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Job ID: 696391 Job Family: RD Regular/Temporary Position: R Full/Part-Time Status: F

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organization Overview At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. Role Overview The Clinical Development Scientist is a clinical trialist with clinical trial experience responsible for management of clinical supply (in collaboration with Supply Chain) and implementation of clinical supply/device trainings (in collaboration with other functional areas) for global clinical programs. They will be responsible for development of training materials and ensure timely planning and implementation of clinical supply/device trainings. The Clinical Development Scientist will also collaborate cross-functionally to support the clinical and scientific execution of all Lilly Gene Therapy clinical and preclinical programs, as needed. They will ensure timely planning, implementation, management, and reporting of clinical studies and trials. The successful candidate will collaborate cross-functionally to support all Lilly Gene Therapy Sensory clinical programs and provide clinical/scientific support to clinical trial sites and CROs. Responsibilities: Develop and manage updates of trial documents related to clinical supplies Develop training materials for clinical supply training sessions for clinical trial sites and CROs (if applicable) and manage the training material updates Collaborate both internally and externally to facilitate clinical trial site activities to ensure sites are ready for dose administration at site activation and throughout the trial Lead the efforts to conduct training sessions related to clinical materials and supplies Serve as the clinical development representative to work with Clinical Supply Management in supply management, demand forecasting, shipment operation/logistics, etc. Serve as the clinical/scientific representative for assigned clinical trials, as well as program teams, and facilitate the clinical/scientific execution of clinical and preclinical programs, as needed Support the clinical operations team, including clinical trial manager, in achieving trial deliverables, including adherence to budget and timelines, and developing trial documents, procedures, and plans Support authorship and review of clinical/regulatory documents ( e.g ., clinical protocols, Investigator Brochures, clinical study reports, briefing packages, etc.); collaborate cross-functionally in planning regulatory strategy and communications Other duties as assigned or as business needs require Basic Qualifications: Bachelor's degree in the Life Sciences required A minimum of two (2) years of pharmaceutical and/or clinical experience Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role Additional Skills / Preferences: Master's or higher level degree preferred (ie. PharmD, PhD, etc,..) Global clinical trials in the rare disease area Clinical/investigational pharmacy with gene therapy products or clinical supply management Prior pharma/biotech or academic experience in rare disease, otology, audiology, gene therapy, cellular therapy, and/or medical device preferred Proven track record of successfully conducting/supporting clinical trials and associated development activities Comprehensive understanding of the drug development and approval processes, and clinical trial design Strong interpersonal skills required Strong problem-solving skills, including the ability to identify and evaluate the critical factors of obstacles or opportunities; given background, experience, and judgment, able to understand potential causes and deliver potential solutions Ability to plan and think strategically and critically; intellectually curious, willing to take ownership of the assigned tasks and support clinical/pipeline programs, as needed Ability to critically evaluate and analyze scientific data and literature Strong communication skills (written and verbal) including the ability to express oneself clearly and concisely, and to message and document key progress and challenges appropriately; excellent presentation skills required Capable of representing Lilly Gene Therapy professionally with external global opinion leaders, investigators, vendors, regulatory agencies, and others Ability to work effectively cross-functionally, and to serve as clinical resource within the company Self-motivated and detail-oriented with ability to prioritize and handle multiple projects Additional Information: Travel may be up to 15%, including international travel Location: USA Remote Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $63,000 - $154,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mitigate risk. Our professionals serve as trusted advisors to organizations facing high stakes matters demanding urgent attention, staunch integrity, proven experience, clear-cut analysis, and an understanding of both tangible and intangible assets. The firm provides a comprehensive suite of services, products, and data that enable clients to navigate complex, contentious, and often catastrophic situations. * Provide expert toxicological analysis and consulting on matters involving human health risk, chemical exposure, product safety, and regulatory compliance. * Review and interpret toxicological data, exposure assessments, and risk evaluations. * Serve as a subject matter expert in litigation support and regulatory. * Maintain strong relationships with existing and prospective clients. * Develop proposals, scopes of work, and pricing strategies for toxicology-related services. * Not expected to serve as a testifying expert. Qualifications * Ph.D. in Toxicology or board certification if the Ph.D. is in a related field. * Minimum of 5 years of professional experience managing complex toxicology projects. * A consulting background is desirable but not mandatory. * Strong understanding of regulatory frameworks (e.g., REACH, CLP, OSHA, EPA, etc.). * Proven success in client relationship management. * Excellent communication, presentation, and interpersonal skills. * Strong technical writing skills. * High attention to detail and enjoys working on a variety of different projects simultaneously. Additional Information Some of the Benefits We Have Include J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team's needs. * Our flexible work environment allows employees to work remotely, when needed * Flexible Time Off Policy * Medical, Dental, and Vision Insurance * 401k Match * Commuter Benefits A reasonable estimate of the salary range for this role is $150,000 - $180,000. Any offered salary range is based on a wide array of factors including but not limited to skillset, experience, training, location, scope of role, management responsibility, etc. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. By submitting your application, you acknowledge that you have read the J.S. Held Online Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click here to learn more about the personal information we collect and here to learn about additional privacy rights that may be available. Please explore what we're all about at *************** EEO and Job Accommodations We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email *************** and include "Applicant Accommodation" within the subject line with your request and contact information. #LI-IM1

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. Meet EgenLife at EgenCulture and Values at EgenCareer Development at EgenBenefits at Egen About the opportunity: In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Qualifications: Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically: Python programming. Google Gemini, OpenAI GPT, LLaMA, or similar models. LangChain, LlamaIndex, or similar frameworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar). The ideal candidate will also have experience in one or more of the following:Bachelor's or Master's degree in Computer Science, Engineering, or related field. LLM model fine-tuning. Embedding model fine tuning. Shell scripting. Google Cloud Vertex AI (AutoML, AI APIs, etc.). Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving). MLOps (ideally on GCP). Data Engineering (including SQL). Personal Attributes: Strong ethics. Strong technical aptitude. Engineering mindset/developer background. Strong sense of ownership and teamwork. Curious, always learning to get better. Enjoys working with clients. Excellent communication skills. Compensation & Benefits: This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:- Comprehensive Health Insurance- Paid Leave (Vacation/PTO)- Paid Holidays- Sick Leave- Parental Leave - Bereavement Leave- 401 (k) Employer Match- Employee Referral Bonuses Check out our complete list of benefits here - >******************************** Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .