Senior research associate scientist jobs near me

About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear - even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models-alongside our novel sensors-to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. About The Role: In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field. With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities of this position include: Technical execution Design, develop, and deploy new mineral exploration data collection instruments and methods. Help develop KoBold's proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data - from computer vision to geophysical inversions - and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries Qualifications Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. A successful track record of developing complex equipment with cross-disciplinary teams and vendors. Technical skills, including extensive experience with: Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity. Applying scientific knowledge to identify and prototype emerging technologies Systems integration and data acquisition. Python's data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems. Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources Experience deploying sensors in the field Work practices and motivation: Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Remote sensing Creating machine learning models on geospatial data Image processing or computer vision Project and team management KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt Salary is one part of KoBold's total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave." Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required.

Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, and multiple late-stage development programs addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain's biggest problems so patients and their loved ones can flourish. For more information, please visit us at ************** and follow us on LinkedIn and X. About This Role Axsome Therapeutics is seeking a Pharmacovigilance Scientist to establish and execute pharmacovigilance (PV) systems and procedures, with a strong focus on maintaining high-quality standards. This role is responsible for supporting the Pharmacovigilance (PV) Science function under the guidance of the PV physician and providing oversight of ICSR assessment, signal detection, medical surveillance and risk management activities for investigational products in clinical development and marketed products. This position collaborates with key internal stakeholders, including Clinical Development, Commercial, Medical Information, Medical Affairs, Quality, Regulatory and Legal, as well as multiple external Service Providers and partners on pharmacovigilance-related matters. This position reports to Executive Director of Pharmacovigilance/Drug Safety and is based at Axsome's HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully remote roles. Job Responsibilities and Duties include, but are not limited to, the following: * Assist safety physician to enhance safety surveillance and signal detection by monitoring and analyzing safety data from various sources to identify potential safety signals or trends related to investigational and marketed products * Contribute to the creation and execution of risk minimization measures to mitigate identified risks. * Support the preparation pharmacovigilance aggregate safety reports (e.g., PADER, PSURs, DSURs) to regulatory authorities to meet compliance requirements. * Collaborate with PV physician/PV operations and key stakeholders to request/receive applicable sections of the report * Provide training and guidance to other functions to address ad hoc questions and issues * Ensure timely finalization of the reports to meet the submission timelines of relevant health authorities and other external stakeholders * Collaborate and communicate with cross-functional teams to ensure effective safety monitoring and communication * Support the safety review team (SRT) and coordinates all safety topic discussion and documentation. * Ensure appropriate stakeholder representation and input at SRT * Ensure all data is appropriately compiled and presented at SRT for team review * Liaise with SRT chair to facilitate communication and support for decisions resulting from the SRT (e.g. update of RMPs, labeling, regulatory notifications etc.) * Contribute to clinical trials by providing safety input and reviewing documents such as Clinical Study Reports (CSRs), protocols, and investigator brochures (IB), ICF etc. * Provide support for the processing of individual case safety reports (ICSRs) and ensure data accuracy and completeness for investigational and marketed products * Support the PV SOP updates * Oversee vendor safety process, e.g., signal detection, validation and assessment. * Participate in audit/inspection preparedness activities and provide support during regulatory inspections in collaboration with team members * Participate in new study initiation to ensure PV requirements are met including but not limited to safety reporting, query resolution, SAR reconciliation, un-blinding process, and safety reporting training * Evaluate and improve current PV processes, as needed, to strengthen medical surveillance and risk management process ensuring alignment with best practices Requirements / Qualifications * Master's degree in health-discipline or equivalent required, RN, R.Ph, or Pharm D degree is highly preferred * 5+ years of progressively responsible Pharmacovigilance experience in a pharmaceutical, biotechnology, or related environment with focused experience in signal detection, safety surveillance, risk mitigation and risk management * Extensive experience in case processing, regulatory requirements of ICSRs, MedDRA, WHODD, project management * Experience in submission activities in both FDA and EU is preferred, but not required * Must demonstrate the ability to draft reports, business correspondence, and procedures, and to effectively present information and respond to questions from internal and external stakeholders, both domestic and international * Ability to work on site Monday, Tuesday & Thursday. We are unable to consider candidates who are looking for fully remote roles. Experience and Knowledge * Knowledge of ICH E2B(R2) and (R3) specifications and entry guidance. * Knowledge of global pharmacovigilance reporting rules and timelines, including but not limited to Health Canada, FDA and EMA. * Knowledge of relevant food and drug administration (FDA), European union (EU) and international conference on Harmonization (ICH) guidelines, initiatives, and regulations governing pharmacovigilance. * Ability to interpret health and medical records such as adverse event reporting forms, a discharge summary, etc. * Experience with clinical and/or post-marketing case assessment, including medical terminologies, MedDRA and WHO DD coding and narrative writing. * Experience with safety database is required; ARISg is a plus but not mandatory. * Experience with Veeva is a plus but not mandatory. * Ability to work independently and collaboratively, as required, in a fast-paced matrixed team environment consisting of internal and external team members * Analytical thinker with excellent problem-solving skills and the ability to adapt to changing priorities and deadlines * Ability to read, analyze, and interpret professional journals, technical procedures, and governmental regulations * Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects * Excellent verbal and written communication and skills * Excellent in detailed-oriented tasks. Salary & Benefits The anticipated salary range for this role is $150,000 - $185,000. We encourage candidates of all levels to apply as there may be flexibility on final job title and responsibilities. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity and a generous benefits package. Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law. Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Omics Scientist III in the United States. This role offers an exciting opportunity to lead the design and deployment of advanced AI and machine learning models in the field of genomics and multi-omics research. You will play a pivotal part in developing predictive and generative models that accelerate discoveries in diagnostics, therapeutic development, and precision medicine. Working remotely with cross-functional teams of scientists, engineers, and clinicians, you will design scalable, production-ready AI pipelines, ensuring reproducibility, interpretability, and clinical relevance. This position combines high-level technical expertise with scientific creativity and leadership. Accountabilities: Lead the design and implementation of machine learning models for multi-omics data analysis and clinical AI applications. Integrate genomic, transcriptomic, proteomic, and clinical datasets to create scalable and interpretable AI solutions. Develop and optimize deep learning architectures, including CNNs, RNNs, transformers, and LLMs, for predictive and generative modeling. Deploy production-ready models using MLOps frameworks, containerized environments, and cloud-native platforms. Mentor junior scientists, guide project direction, and ensure scientific rigor in all AI-driven research activities. Collaborate with data engineering and clinical teams to translate computational models into actionable insights. Publish research findings, contribute to open-source projects, and maintain high standards of transparency and reproducibility. Requirements PhD in Computational Biology, Bioinformatics, Artificial Intelligence, or a related field with 4+ years of experience, or MS with 6+ years of experience. Strong expertise in omics technologies (RNA-seq, WGS, single-cell, proteomics) and biomedical informatics. Deep understanding of machine learning, statistical modeling, and biological data interpretation. Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, JAX, or HuggingFace. Experience with GPU-based training, distributed learning systems, and cloud computing platforms (AWS, GCP). Skilled in MLOps tools (MLflow, DVC), Docker/Kubernetes, and data pipeline orchestration (Nextflow, Snakemake). Experience with foundational AI models (BERT, BioBERT, GPT, AlphaFold, or domain-adapted LLMs). Familiarity with HIPAA-compliant and regulated environments. Excellent communication skills and proven ability to work across scientific and engineering disciplines. Track record of peer-reviewed publications, conference presentations, or open-source contributions. Benefits Competitive annual salary ranging from $140,000 to $175,000, plus a Short-Term Incentive Plan (10% of annual earnings). Full remote work flexibility within the United States (PST preferred). Comprehensive medical, dental, and vision insurance. 401(k) plan with company match and flexible spending accounts (FSA). Generous paid time off (PTO) and paid sick leave. Continuous learning and professional development support. Inclusive, collaborative culture that values scientific innovation and open exchange of ideas. Equal opportunity employer supporting second-chance employment and fair hiring practices. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job's core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets. Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at ************* or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube. About the role Absci is seeking AI Scientists to join its team of experts advancing generative and predictive modeling at the intersection of machine learning and drug discovery. As an AI Scientist, you will develop AI models that generate and evaluate antibody therapeutic candidates. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico . Absci's computational teams (including its AI Scientists) develop and validate software platforms for antibody design and in silico assessment, while its Wet Lab teams experimentally validate its AI platforms, and its Drug Creation teams translate experimentally-validated AI designs into clinically-viable therapeutics. The ideal AI Scientist candidate will: Care as much about solving the technical problems related to designing antibody therapeutics as they do about translating solutions to the clinic; Use their expertise to influence the AI team's research agenda while maintaining high levels of responsibility and accountability for their work; Demonstrate their curiosity about the problems we are attempting to solve by developing proficiency in disciplines that fall outside their own areas of expertise, constantly increasing the scale and impact of their contributions; Invest in ensuring their work is accessible and interpretable to scientists with other domain expertise. Why Absci's AI team? Absci offers AI Scientists a unique opportunity to not only develop novel, cutting edge machine learning models, but also apply these models in real-time to generate candidate antibody therapeutics. In particular: Absci provides its AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment. Absci maintains its own Wet Lab, enabling AI Scientists to validate novel modeling methods via both in silico and in vitro experimentation. Absci maintains and is growing its own internal pipeline of assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients. This position can be remote, hybrid, or onsite in New York, NY or Vancouver, WA. Key Responsibilities Develop state-of-the-art deep learning models for structure-based antibody design, antibody sequence design, antibody-antigen co-folding, antibody-antigen binding prediction, and physics-based antibody design and evaluation Partner with teammates in AI Research, Platform Engineering, and Computational Biology to identify key challenges and design innovative, AI-driven solutions Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies Deliver and publish high-impact research that advances Absci's position as a thought leader in the field of AI antibody design Qualifications PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field 3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field, ideally including industry experience Fluency in Python and PyTorch Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction Expertise in large-scale model training Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment Demonstrated experience presenting complex technical work to diverse audiences Strong publication record in respected, high-impact journals and conferences Absci's AI team does not accept and is not responsible for fees related to unsolicited agency resumes. Compensation and Benefits The base salary range for this position is $160,000- $260,000. The range provided is based on what we believe is a reasonable estimate for the base salary range for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. Absci offers highly competitive salaries and benefits including medical, dental, and vision insurance, unlimited vacation, parental leave, employee assistance programs, voluntary life and disability insurance, annual bonus potential, the ability to participate in our employee stock purchase plan, a 401(k) with a generous company match, and so much more. Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should request the recruiter or hiring manager or contact ****************.

AI RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems. In today's dynamically changing world, DEFCON AI's technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions. About the Optimization Scientist Position Are you passionate about driving innovation through advanced mathematical modeling? Does working in a multi-disciplinary team that addresses a diverse range of complex problems get you excited? If so, we have an exciting opportunity for you as an Optimization Scientist in the Tech Development and Analytics team at DEFCON AI. We're currently looking for creative, smart, and humble teammates who want to join our group of world-renowned researchers as we push the boundaries applying AI to complex problems. As an Optimization Scientist, you will be at the forefront of driving the development and deployment of our latest optimization models to production. If you're a forward-thinking, technically adept individual with a passion for mathematical modeling and optimization, this role is for you. This role is a 1099 contract opportunity, with full time hours. Responsibilities: Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models that deliver high-quality, real-world insights. Design and implement novel heuristics and optimization models to solve complex problems in various industries, ensuring efficiency and scalability. Stay up to date with the latest advancements in decision science and implement best practices for our customers. The communication of complex technical concepts and findings to non-technical stakeholders clearly and concisely. Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions. Qualifications: Demonstrated expertise in building mathematical optimization models for complex real-world problems The ability to write efficient, clean, and maintainable code in one or many programming languages with the ability and willingness to learn more Excellent written and verbal communication skills - with emphasis on the ability to effectively communicate highly technical concepts to both technical and non-technical audiences alike An advanced degree in Operations Research, Industrial Engineering, Physics, Mathematics, or a related technical field U.S. citizenship is required Preferred Qualifications: Experience with cloud-based SAAS products and pipelines Experience with Algebraic Modeling Languages and Solvers (e.g., Pyomo, GAMS, AMPL, CPLEX, Gurobi) A Ph.D. with a focus on Optimization Experience in modeling transportation and logistics Publications in scientific journals and/or conferences We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. www.

About Us Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems. About the Optimization Scientist Position Are you passionate about driving innovation through advanced mathematical modeling? Does working in a multi-disciplinary team that addresses a diverse range of complex problems get you excited? If so, we have an exciting opportunity for you as an Optimization Scientist in the Tech Development and Analytics team at DEFCON AI. We're currently looking for creative, smart, and humble teammates who want to join our group of world-renowned researchers as we push the boundaries applying AI to complex problems. As an Optimization Scientist, you will be at the forefront of driving the development and deployment of our latest optimization models to production. If you're a forward-thinking, technically adept individual with a passion for mathematical modeling and optimization, this role is for you. This role is a 1099 contract opportunity, with full time hours. Responsibilities: Integrate with an interdisciplinary team of experts in optimization and simulation to design, build, and optimize models that deliver high-quality, real-world insights. Design and implement novel heuristics and optimization models to solve complex problems in various industries, ensuring efficiency and scalability. Stay up to date with the latest advancements in decision science and implement best practices for our customers. The communication of complex technical concepts and findings to non-technical stakeholders clearly and concisely. Collaborate with cross-functional teams to understand business requirements and translate them into actionable solutions. Qualifications: Demonstrated expertise in building mathematical optimization models for complex real-world problems The ability to write efficient, clean, and maintainable code in one or many programming languages with the ability and willingness to learn more Excellent written and verbal communication skills - with emphasis on the ability to effectively communicate highly technical concepts to both technical and non-technical audiences alike An advanced degree in Operations Research, Industrial Engineering, Physics, Mathematics, or a related technical field U.S. citizenship is required Preferred Qualifications: Experience with cloud-based SAAS products and pipelines Experience with Algebraic Modeling Languages and Solvers (e.g., Pyomo, GAMS, AMPL, CPLEX, Gurobi) A Ph.D. with a focus on Optimization Experience in modeling transportation and logistics Publications in scientific journals and/or conferences We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

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. 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The Role: The Scientist will be responsible to support the protein quantification and proteomics analysis using Mass spectrometry for PK and PD studies, ensuring the timely and efficient management of critical reagents used in the development, validation, and execution of bioanalytical and molecular assays to support clinical assays at Moderna. The successful candidate will work closely with cross-functional teams for protein analysis, qualify critical reagents, as well as establish and maintain robust systems for their monitoring, tracking, and storage. This is in person laboratory based position located in Norwood, MA. Here's What You'll Do: Support LC-MS based protein quantification/proteomics assay development, validation and sample analysis under regulatory compliance. A solid background in modern analytical techniques used in the analysis of mRNA-based therapeutic products is essential. Maintain a robust system for the monitoring, tracking, and storage of critical reagents to ensure their availability and quality. Support reagent characterization to generate CoA documentation. Knowledge of peptide/proteins, aptamer-antibody based conjugation systems for DNA, RNA, and Protein/antibodies. Maintain a database of Reference standards/reagents, including their specifications, source, usage, and expiration dates. Conduct regular audits of critical reagent inventory and work with cross-functional teams to manage the procurement and disposition of the reagents. Vendor management to ensure the availability and quality of critical reagents. Develop and implement policies, procedures, and training programs to ensure compliance with regulatory requirements and industry best practices. Collaborate with cross-functional teams to develop reagent-specific risk assessments and mitigation strategies. Monitor industry trends and advancements in critical reagent management and implement the best practices to improve efficiency and effectiveness. Here's What You'll Need (Basic Qualifications) Ph.D. in a scientific field, such as chemistry, biochemistry, or biology with 3+ years of experience in Bioanalytical Sciences/regulated bioanalysis. M.S. with at least 7 years of bioanalytical experience will also be considered. Strong knowledge of critical reagents management as well as current industry best practices and regulatory requirements. Deep understanding of Proteomics/Protein mass spectrometry for PK and biomarker analysis Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals. Excellent organizational, analytical, and problem-solving skills. Proven ability to manage multiple projects simultaneously and prioritize tasks in a fast-paced environment. Here's What You'll Bring to the Table (Preferred Qualifications): Experience with the Biophysical Characterization of Biologics (LCMS, SDS-PAGE, cIEF, SPR, BLI, SEC-HPLC, SEC-MALS, UV-VIS) Experience working in a GLP environment (ELN/LIMS/automation) Experience with HRMS and software for protein analysis/characterization At Moderna, we believe that when you feel your best, you can do your best work. That's why our US benefits and global well-being resources are designed to support you-at work, at home, and everywhere in between. Best-in-class healthcare coverage, plus a suite of voluntary benefit programs to support your unique needs A holistic approach to well-being, with access to fitness, mindfulness, and mental health support Lifestyle Spending Accounts to personalize your well-being journey Family planning and adoption benefits Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown Savings and investment opportunities Location-specific perks and extras About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities. We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities. Our Working Model As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact. Moderna is a smoke-free, alcohol-free, and drug-free work environment. Equal Opportunities Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply! Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Accommodations We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations@modernatx.com. Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license. #LI-NB1 -

Compensation: $95,000 - $110,000 per year. You are eligible for a Short-Term Incentive Plan with the target at 5% of your annual earnings; terms and conditions apply. Variant Assessment Scientist I, Oncology - Remote US Responsibilities include variant analysis of diagnostic molecular genetic test results; evaluation of published literature, clinical data and review of both functional and in silico data to provide accurate, thorough, and thoughtful clinical interpretation of results. Write research articles in collaboration with other medical professionals and colleagues outside and inside the organization, if data is relevant to the scientific community. Additional responsibilities as designated by supervisor/manager and/or with increasing seniority (Variant Assessment Scientist II, Senior Variant Assessment Scientist). Essential Functions Write and interpret molecular test results, including relevant medical literature reviews and summary Participate in updating variant classification guidelines and developing gene specific classification guidelines Research novel ways to assess sequence variants Manage and follow guidelines of variant pre-classification workflow to maximize reporting results within published turn-around times Assist in the development of gene specific tools and database of gene specific information for variant assessment Other duties as assigned Qualifications PhD and/or MD with expertise in molecular genetics, human genetics, molecular pathology or related field MS in molecular biology, genetics or a related field with exceptional expertise and outstanding job performance is also considered Thorough and ongoing knowledge of current theories and principles of human genetics Excellent written and verbal communication skills to convey difficult information in a clear, kind, and respectful manner Willingness and ability to work in and contribute to a fast-paced, highly collaborative environment Preferred: Prior experience in oncology and variant assessment #LI-AC1 #LI-REMOTE PRIVACY NOTICES To review Ambry's Privacy Notice, Click here: ********************************************* To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics To review the UKG privacy notice, click here: California Privacy Notice | UKG Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Medium's mission is to deepen understanding of the world and spread ideas that matter. We are building the best place for reading and writing on the internet-a place where today's smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers. Role Overview One of Medium's core operating principles is “humans first,” but sometimes to do that we need a little help from machine learning-which is why Medium is looking for an experienced Staff Applied ML Scientist to join our team. First and foremost, you'll own Medium's recommendation systems, which serves millions of readers every day by parsing through an ocean of posts and curating perfect literary pearls for each of them. Under the hood, it's a sophisticated and modern ML pipeline, fueled by a two-tower model and separate deep retrieval and ranking stages. Beyond recommendations, you'll also develop ML models to protect our readers from the burgeoning world of AI slop and spam, explore and evangelize new applications for machine learning across Medium's business, and leverage machine learning to ensure that Medium always puts humans first. Key Responsibilities You'll help us apply machine learning thoughtfully across Medium - starting with recommendations, but extending far beyond them. You'll look for places where ML can make the reading and writing experience more personal, relevant, and human. Experiment with ideas like smarter post discovery that helps writers find their natural audience. Explore opportunities for personalization, quality detection, topic modeling, or even AI-assisted editorial curation - all grounded in improving understanding, not chasing engagement for its own sake. Work closely with design, product, and engineering partners to translate ambiguous user needs into well-framed ML problems. Drive the research. Lead with curiosity and precision. You'll design and interpret experiments, bring statistical rigor to our experimentation, and keep a critical eye on things like bias and spurious correlation in our thinking. Bring organizational leverage. Work across teams to ensure that ML improvements are well-integrated into the product, not off to the side. You'll regularly influence decision-making through cross-functional collaboration, helping product and engineering leaders spot where ML can create leverage and where it shouldn't. Own and continuously improve our recommendation systems. Evolve our two-tower retrieval and ranking stack, refine our feature set, and push on model quality, latency, and interpretability. Find new and innovative ways to use ML techniques to better serve our community of readers and writers. This might mean smarter spam and slop detection, writer quality modeling, or intelligent routing of human moderation. The goal: keep Medium a place where humans thrive, not bots. Positively contribute to the broader culture and data ecosystem at Medium. Mentor others, document your work with clarity, and help raise the bar for how we think about, design, and deploy ML systems. Share learnings generously and make the people and systems around you better. Attend Medium's twice-yearly, in-person offsites (hosted in locations around the U.S.). Skills, Knowledge and Expertise You've been designing and building software for at least 7 years, with at least 3 years focused on architecting and shipping consumer-facing ML models. You have experience integrating ML into end-user products (recommendation, ranking, personalization, moderation). You have a proven track record of developing and deploying ML models that deliver measurable business and user impact, not just theoretical gains. You embody the “applied” in applied ML: You enjoy the research, but love seeing models ship, move metrics, and make people's experiences better. You're fluent in Python and ML libraries such as TensorFlow, HuggingFace Transformers, and scikit-learn. You're comfortable taking models from notebook to production. It's a huge added bonus if you have experience with Apache Spark for distributed or large-scale training. You're an excellent collaborator, able to translate between data, product, design, and engineering worlds, helping non-ML partners see what's possible (and what's not). You're excited to be “the voice of ML” in business and product conversations. You're skilled at identifying and evangelizing high-leverage ML opportunities across the organization, from recommendation systems to new personalization or quality signals. You have hands-on experience with modern model architectures and techniques e.g., feature interaction modeling, advanced negative sampling and bias correction techniques, and efficient large-scale candidate retrieval. (Bonus) You're curious about content discovery, publishing, or online communities, and have a soft spot for writing, ideas, and helping great work get found. Nice to Haves Experience with modern recommender systems. Experience utilizing modern AI tooling to accelerate development efforts. A passion for online writing, publishing, or long-form content. Familiarity with Medium, as a reader, writer, or both! Benefits In addition to the new skills you'll pick up, here's what else you'll enjoy by working at Medium: Working with a fully distributed team: We're fully remote and have teammates across the U.S. & France. Healthcare benefits covered at 100% for employees and 70% for dependents. Generous parental leave policy. Mental health support through Talkspace. Financial wellness support through Northstar. Stipends for co-working, professional development, wifi, and a one-time home office bonus. Unlimited PTO and standard company holidays. A discounted Medium membership! At Medium, inclusion, diversity, and equity are core to how we work and what we build. We believe a more inclusive team creates a better product-one that's intuitive, thoughtful, and serves a wide range of users. We strive to foster a supportive, fun, and challenging environment where people from all backgrounds can thrive. We welcome applicants from all walks of life and strongly encourage those from historically underrepresented groups to apply. Our hiring process is built to ensure fairness and equal opportunity for everyone. Even if your experience doesn't match every requirement, we'd still love to hear from you-your perspective and passion matter more than checking every box. Learn more about our mission, operating principles, and culture: Yes to a diverse community Be part of a better internet Medium Rules Operating Principles Read about our story here. Please note: We've been made aware that our job postings may appear on third-party sites that are not affiliated with our company. To ensure your application is received and reviewed, please apply directly through our official Greenhouse careers page. We do not collect applications through external job boards or services that request your personal information outside of Greenhouse. Additionally we request that all applications and supplemental questions be filled out directly by applicants themselves without the use of AI assistance. Salary Range$250,000-$300,000 USDGDPR Notice We will process your personal data as part of our recruitment process, in accordance with the General Data Protection Regulation (GDPR). For details on how we use your data, including the legal bases for processing, how long we retain it, and your rights under GDPR, please refer to our Privacy Notice. We may retain your information for future job opportunities based on our legitimate interest in building a talent pool. You can object to this at any time by contacting us at *********************. CCPA Notice If you are a California resident, you have rights under the California Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA). These include the right to know what personal information we collect about you, the right to request deletion or correction of your data, and the right to opt out of certain uses. During the hiring process, we may collect personal information such as your name, contact details, resume/CV, employment history, education background, and any information gathered through interviews or assessments. We may share this information with service providers who support our recruitment process, in compliance with CCPA/CPRA. This information is used solely for recruitment and hiring purposes. We do not sell or share your personal information as defined under CCPA/CPRA. Candidate data is retained for up to 48 months for our legitimate business purposes and in accordance with applicable laws. To exercise your rights or request more information, please contact us at *********************. This notice can also be found on our Privacy Notice.

Seeking a Fishery Restoration Scientist to support NOAA Fisheries in executing analytical, technical, and field-related tasks across multiple habitat conservation and environmental review programs. This position will work closely with the NOAA Project Lead (PL) to evaluate project impacts, conduct habitat analyses, support regulatory reviews, and develop high-quality technical deliverables. The work will be performed in a fully remote capacity, with only a limited possibility of occasional travel within the east coast regions of Florida, South Carolina, North Carolina, or Georgia. The task includes the following: * Review study objectives developed by the Southeast Region and project partners, identify optimal field study locations, manage partner-provided datasets, develop associated metadata, and recommend practicable refinements to future field efforts. Deliver short technical reports and data files and incorporate all NOAA PL comments into final documentation. * Analyze project-specific data to evaluate compliance with hydropower facility license conditions, with particular attention to fish passage and flow prescriptions. Deliver concise written reports for each facility and revise final documentation in response to NOAA PL comments. * Assess effects to Essential Fish Habitat (EFH) and evaluate proposed mitigative measures for offshore wind energy projects using data provided. Prepare short written reports and develop briefing materials suitable for NOAA senior leadership summarizing project objectives, expected impacts, benefits, and anticipated schedules. Address all NOAA PL comments in final deliverables. * Review dredging operation data and coral condition information for the Port Everglades and Port Miami project areas. Evaluate potential effects to coral habitat, recommend mitigation measures to offset expected impacts, and deliver a written report containing habitat characterizations and supporting GIS files with appropriate metadata and Google Earth files. Address all NOAA PL comments in final documentation. * Conduct EFH, Fish and Wildlife Coordination Act (FWCA), and Fish and Wildlife Planning Assistance (FPA) analyses for proposed construction and restoration projects. Maintain a current understanding of diadromous, estuarine, and reef fish habitats, key environmental pressures, and conservation partnerships across Southeast U.S. watersheds. Use GIS to prepare maps and manage spatial data for analysis, and produce written reports and briefing materials with complete responses to NOAA PL comments. * Submit electronic monthly progress reports that clearly correlate cost, level of effort, activity descriptions, and accomplishments for the reporting period. Requirements * Knowledge of fish and habitat ecology, environmental conservation principles, and habitat impact assessment methodologies. * Experience conducting data analysis, preparing technical summaries, and managing fisheries or environmental datasets. * Experience using GIS software for spatial analysis, map production, and metadata development. * Familiarity with EFH assessments, environmental review processes, and habitat-based conservation strategies within marine or estuarine systems. * Ability to write clear, concise technical reports and prepare briefing materials for senior decision-makers. * Strong proficiency with common software including word processing, spreadsheets, statistical tools, data management applications, and the entire Google suite. * Ability to collaborate with partners, manage multiple ongoing tasks, and respond to technical comments with accuracy and completeness. * Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 of the last 5 years and must be able to pass a background investigation to obtain a security badge to access applicable government systems. Work Location This position is fully remote in support of NOAA Fisheries. Education Bachelor's degree in Biology, Marine Science, Ecology, Environmental Science, or a related discipline, plus three years of experience in fish biology, marine biology, oceanography, or a closely related field. Salary The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills. Benefits All full-time employees are eligible to participate in our flexible benefits package, which includes: * Medical, Rx, Dental, and Vision Insurance * 401(k) retirement plan with company-matching * 11 Paid Federal Government Holidays * Paid Time Off (PTO) * Basic Life & Supplemental Life * Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Employee assistance program (EAP) * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Professional Membership Reimbursement * Employee Referral Program * Competitive compensation plan * Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance * Publication and Conference Presentation Awards with bonuses ERT is a VEVRAA Federal Contractor and Equal Opportunity employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status. #LI-Remote

NOMA AI Mission: NOMA is developing a novel AI platform for healthcare that leverages deep tech and machine learning to analyze multimodal medical data and help clinical teams proactively identify risks of medical complications. Our first product focus is on maternal hemorrhage and excessive bleeding of mothers that can happen during labor and delivery and continues to rank as a leading cause of maternal mortality and morbidity in the U.S. The Opportunity: NOMA AI Inc. is looking for candidates for a machine learning research engineer position to participate in developing cutting-edge machine learning and data analytic solutions in healthcare. The successful applicant will participate in the development, research, evaluation, and deployment of machine learning methodologies for real-time clinical decision systems, patient monitoring, and alerting solutions. Our team includes individuals with strong machine learning, software engineering, and healthcare backgrounds. In addition, we wish to reach out to talented individuals who are passionate about revolutionizing healthcare and who are interested in: Working on problems that are at the forefront of both industry and scientific research in ML for healthcare Researching, developing, and deploying real-time machine learning-based AI tools in healthcare. Achieving long-term and ambitious product development goals while identifying intermediate milestones Being independent problem solvers while operating in a collaborative environment Requirements Qualifications: Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent field Relevant publications Ability to rapidly iterate and evaluate machine learning methodologies to solve novel problems Experience working with popular machine learning frameworks, including NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow Experience working with high-frequency signal and waveform data Experience with time-series data, high-frequency data, prediction modeling, and imbalanced data Expert Knowledge of Python. Have experience in working and collaborating with others on team projects Ability to deliver with limited guidance, working on problems that are not structured 5+ years of programming experience Preferred Qualification: Experience with medical data, electronic health records, biosensor data, etc. Experience with real-time environments and model deployment Experience with major cloud environments and other distributed systems Interest and experience in software engineering (data pipelines) BenefitsHealth insurance, 401(k), vision, dental, PTO, maternity/paternity leave,

Your Role Within Our Kingdom We 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 Thrills Minimum 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.

About KariusKarius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions. Why Should You Join Us?Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease. Position SummaryYou are highly curious and creative and desire to continuously grow and improve in your goal to make an impact on patients. You will be a key member of the Assay Development Analytics (ADA) team that helps drive the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques. You will participate in experimental design, conduct thoughtful computational analyses by determining the analysis plan and executing it using the necessary tools and methodologies. You will work closely with colleagues in Molecular Biology to understand and deliver on our shared goals. You are a self-starter and always like to find ways to make things better. Reports to: Sr. Manager, Bioinformatics Location: Redwood City, CA or hybrid or remote Primary Responsibilities• Individual contributor to Assay Development Analytics (ADA), which drives the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques.• Participate in experimental design, conduct computational analyses, understand rationale, set the analysis plan, and execute using the necessary tools and methodologies to deliver innovative assays.• Work closely with colleagues across the Molecular Biology and Laboratory Operations teams to understand the properties of the assays and ways to improve our technologies.• Continue to grow and learn in the necessary mathematical, technological, and software aspects of the field through internal knowledge acquisition and staying current with the latest relevant literature.• Open to exploring multiple approaches for problem-solving and modeling including borrowing across a wide range of quantitative disciplines.• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.• Share a passion for ensuring the quality of our statistical analysis, via reliability, reproducibility, and rigor. What's Fun About the Job?Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters. Travel: Travel to HQ on a quarterly basis if remote. Physical RequirementsSubject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment. Position Requirements• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.• Publications demonstrating innovative investigation and interpretation of biological data. • Proven proficiency, and understanding of, modern statistics and machine learning.• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.• Self-starter with the ability to independently drive results and influence project direction.• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.• Familiarity with a range of relevant laboratory techniques (either through hands-on work or from collaborations with laboratory-focused colleagues).• Familiarity and experience with bioinformatics tools, approaches, and workflows, particularly those related to next-generation sequencing data analysis.• Familiarity with design of experiments (DOE) approaches to optimize process settings. Personal Qualifications• Passionate, purpose-driven, and excited about Karius' mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.• Excellence at communication and collaboration within a cross-functional team.• Detail oriented with exceptional organizational and time management skills.• Self-starting mentality and ability to drive results.• Comfortable working in an environment which combines both research aspects as well as development.• Ability to work effectively and efficiently in a fast-paced (startup) environment. DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.

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.

Nature and Scope Responsible for formulation and process development activities associated with parenteral drug product development. Participates in scale-up of manufacturing process. Essential Duties and Responsibilities Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Conduct laboratory experiments with minimal supervision to support formulation and process development of injectables Execute laboratory studies for characterization, stability studies per ICH guidelines, component selection and scale-up activities Execute and support the formulation team on experiments to support the selection of process parameters and development of manufacturing process. Prepare formulations to support analytical method development. Draft protocols/reports on the formulation development experiments and deliver data presentations. Assist in the general operation of the R & D formulation laboratory including maintenance of Standard Operating Procedures (SOP's) and equipment validation or maintenance. Maintain clean and safe work environment in the laboratory. Ensure all work is performed and documented in accordance with existing company policies, procedures, current Good Manufacturing Practices, and health & safety requirements. Perform any other tasks/duties as assigned by management. Education Requirements and Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. B.S. in Pharmaceutical Science, Chemistry, Chemical Engineering or equivalent required. 2-3 years, or for M.S. 0-2 year, of experience in drug product development required. Hands on skills in analytical instrumentals such as HPLC, particle sizer and Karl Fisher titrator is a plus. Excellent organizational, interpersonal and communication skills required. Proficiency in Microsoft Office Word and Excel is required. Ability to work overtime as needed. Physical Environment and Requirements Physically able to wear laboratory protective gowning and equipment, including but not limited to gowning, goggles, face shields, respirators, and protective gloves. PPE and Respirators are essential for the health and safety of employees. Specific vision requirements include 20/20 near vision (can be corrected with eyeglasses or contacts) and color vision. Position requires working in the laboratory as well as sitting. Employees must maintain a clean-shaven appearance each working shift to wear tight-fitting respirators properly. American Regent celebrates diversity and we are committed to creating an inclusive environment for all employees. We are an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, or protected veteran status. Applicants have rights under Federal Employment Laws. FMLA poster: ********************************************************** Know Your Rights: Know Your Rights: Workplace discrimination is illegal (eeoc.gov) Employee Polygraph Protection Act: ********************************************************* Alert: We're aware of individuals impersonating our staff to target job seekers. Please note: · All legitimate communication will come directly from a verified ARI recruiter either by phone or via an americanregent.com email address. · Our recruiting process includes multiple in person and/or video interviews and assessments. · If you are unsure about the legitimacy of a message, contact John Rossini at *************************** before responding. · We never request payment, bank information, or personal financial details during our offer process. Your security is important to us, and we encourage you to stay vigilant when job searching. American Regent Inc. endeavors to make *********************************** accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please email **************************************.

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 [email protected] and include “Applicant Accommodation” within the subject line with your request and contact information. #LI-IM1

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 .

Zoetis Veterinary Medicine Research and Development (VMRD) seeks a skilled Toxicologist to join the Toxicology Group within Clinical Pharmacology and Safety Sciences based in Kalamazoo, MI. This challenging and dynamic role provides global toxicology and safety assessment support. The successful candidate will collaborate across VMRD and Global Manufacturing and Supply (GMS) to develop scientifically rigorous safety assessments supporting product safety across therapeutic areas, veterinary species, human health, and manufacturing processes. Responsibilities: Toxicological Assessment for Drug Products: Conduct safety assessments for formulation excipients, degradants, raw materials, and residual solvents in active pharmaceutical ingredients (APIs) and drug products Toxicological Assessment for Manufacturing: Qualify impurities in the manufacturing process of APIs and drug products; conduct safety assessments for extractables and leachables, cross-contamination of products in shared facilities, and establish cleaning limits. Occupational Safety: Develop Occupational Exposure Limits (OELs/ OEBs) following Zoetis processes and procedures. User and Worker Safety: Provide product user and worker safety support for project teams, including risk assessments, exposure scenario calculations, risk mitigation proposals, packaging recommendations and label language development. Safe Exposure Level Development: Establish Threshold of Toxicological Concern (TTC) and health-based exposure limits, including Permitted Daily Exposure (PDE), Acceptable Daily Intake (ADI), and Margin of Exposure (MoE). Health Hazard/ Medical Assessments: Support pharmacovigilance, product quality, and qualification of out-of-specification batches. Regulatory Support: Assist with REACH registration for API intermediates and raw materials, and address global regulatory queries related to the safety of registered products. Toxicology Data Analysis & Literature Review: Perform rigorous toxicology gap analysis, literature data mining, and critical evaluation of toxicological information to support product development and registration. Hazard Communication and Chemical Regulatory Compliance (Preferred): Experience in preparing Safety Data Sheets (SDS), classifying drug substances and process intermediates according to the Globally Harmonized System (GHS) and national requirements, and horizon scanning and monitoring of chemical regulations. Cross-Collaboration and Technical Leadership: Engage in multidisciplinary collaboration within R&D, and with Manufacturing, Product Quality, and Sustainability, to develop and integrate key knowledge areas and expertise into actionable business insights. Regulatory & Scientific Engagement: Support regulatory compliance, trade association participation, and involvement in professional organizations relevant to toxicology. Travel Requirement: This role involves up to 10% travel for collaborations, regulatory engagements, or conferences as needed. Minimum Qualifications Ph.D. (or equivalent) plus at least 2-3 years of experience in toxicology or closely related discipline is critical. Master's degree in toxicology or closely related discipline with 8 years of relevant experience shall be considered. Demonstrated experience in preparing regulatory-quality technical documents or toxicology dossiers, with strong technical writing skills (e.g., protocols, reports, journal articles) Experience in study design, implementation, and interpretation of studies evaluating in vivo and in vitro toxicity or similar experience. Highly organized with strong problem-solving skills, capable of performing rigorous scientific assessments. Ability to prioritize tasks, make informed decisions, and collaborate effectively in a global matrix environment. Excellent verbal and written communication skills in English. Proficiency in MS Office, and toxicology databases for literature research and data analysis Desirable Skills, Experience, and Attributes: Board certification in toxicology (e.g., DABT, ERT) and/or DVM. Knowledge of global regulatory requirements for toxicology risk assessment and documentation to support product safety and chemical registrations. Experience in preparing safety data sheets. 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: $91,000 - $131,000 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: $103,000 - $148,000 [This position is eligible for short-term incentive compensation.] [The position is also eligible for long-term incentive.] 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.