Associate research scientist work from home jobs - 367 jobs

Grants Research Associate Contractor - Higher Education Focus Hanover Research, Arlington VA Remote Opportunity#Remote #LI-Remote Hanover's Grants Researcher Contractors (GRCs) work alongside Content Directors and Grants Consultants to provide prospecting and related support services to Hanover's (primarily) higher education clients. As a part-time contractor, the GRC will be responsible for identifying public and private funding opportunities based on client need and assessing appropriate fit of highly technical funding programs. GRCs will also occasionally contribute to proposal narratives in the form of best practices research, literature reviews, and needs assessments. This position will report directly to a senior Research Consultant. Responsibilities Identify and select sources of funding that align with client projects; Manage tight deadlines to create prospecting reports and other deliverables on time; Demonstrate an understanding of clients' needs and the goals of their projects, both programmatic and research-related; Independently create client-ready deliverables with minimal oversight; Collaborate with Content Directors and Grants Consultants to refine project scopes; and Explore creative solutions for preparing content and delivering it to clients efficiently. Desired Skills and Attributes Experience with researching federal and foundation funding opportunities, where preferably the GRC applicant will be familiar with Grants.gov (particularly NSF/NIH/DOD programs) and grant-related databases such as Pivot or Candid; Experience writing and researching for an academic audience; Ability both to accept and to provide constructive feedback; Strong communication, fact-checking, writing, and editing skills in the English language; Excellent organizational skills and attention to detail; Ability to work quickly and independently with minimal guidance or oversight; Ability to work under pressure in a fast-paced environment; Demonstrable problem-solving skills and work ethic; Proven academic achievement; High comfort level with Microsoft Office applications, such as MS Word, MS Excel, and MSPower Point. Education Requirement A Bachelor's or Master's degree in an education- or writing-related discipline is preferred, though candidates with relevant experience who hold other degrees will be considered. Experience Requirement At least 2-4 years' experience in grant-related research; experience with pre-award and/or grant-related prospecting research is preferred. Compensation Hanover Research strives to create compensation that is competitive, equitable, and fair.Thecompensationrangefor this contracting opportunity at the company is $30.00 - $40.00 per hour. Please note this compensation range is contingent on the candidate's job-related knowledge, skills, and experience. Our rate is determined by the contracting opportunity and the market. About Hanover Research Founded in 2003, Hanover Research is a global research and analytics firm that delivers market intelligence through a unique, fixed-fee model to more than 1,000 clients. Headquartered in Arlington, Virginia, Hanover employs high-caliber market researchers, analysts, and account executives to provide a service that is revolutionary in its combination of flexibility and affordability. Hanover was named a Top 50 Market Research Firm by the American Marketing Association from 2015 to 2021.To learn more about Hanover Research, visit*********************** Hanover Values Business Building - We build our business quickly and intelligently and we help our clients do thesame Thought Leadership and Innovation - We strive constantly to deliver better information in a betterway Service - To our clients and our community, service is our guidingprinciple Leadership and Mentorship - Our talent is our greatest asset, and we hope to help our people be theirbest Firm Citizenship - We are optimists who believe there are endless possibilities for our company andourselves How to Apply If you are interested in the prospect of working for a dynamic, growing company, we encourage you to submit your resume as well as a writing sample. Hanover strives to be accessible to all users and job seekers. If you are a qualified individual with a disability and need assistance in accessing our website or completing a job application, please contact Hanover Research at or via information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. Hanover Research is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, compensation, training, promotion, transfer, leaves of absence, and termination.

SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. Role As a Machine Learning Research Scientist, you will lead groundbreaking ML research and development at SmarterDx, collaborating closely with experienced engineers and clinicians to turn your inventions into enterprise-grade products. With minimal supervision, you will establish a research agenda informed by emerging trends in AI, develop and rigorously evaluate your proposed algorithms, deploy your algorithms into production, and monitor impact. You will collaborate closely with other machine learning research scientists to identify the most promising areas of AI/ML R&D for SmarterDx and establish shared infrastructure to accelerate research efforts across the team. What You'll Do 45% Hands-on implementing new methods and relevant baseline models (ML Research) 20% Working cross-functionally to deploy models into production (MLOps, MLE) 20% Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise) 15% Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting) Become a domain expert at clinical data and the healthcare ecosystem Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps) Post training to align large language models (LLMs) on proprietary clinical data Develop new self-supervised pre-training tasks for improving models Develop novel retrieval, attribution and hallucination detection strategies for generative models Develop novel methods for explaining and summarizing diagnostic classifications Develop methods for selecting data sources to include in training (data-centric AI) Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels Develop novel methods for multimodal data fusion (structured and unstructured data) Long-sequence language modeling What You Bring Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps) With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, ar Xiv) Nice To Haves MLSys skills ie knows the differences between tensor vs pipeline vs data parallelism, gloo vs mpi vs nccl, CUDA vs ROCm, Triton vs ThunderKittens Familiarity with inference optimizations, ie vLLM, SGLang, continuous batching, KV Caching, speculative decoding Our Tech Stack PyTorch, Python, GitHub, Snowflake, Huggingface Transformers, AWS Sagemaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, Kubernetes Compensation $200-220k+ base salary #LI-Remote Benefits Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan. Paid Parental Leave - Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents. Remote-First Team - Work from anywhere in the U.S. Unlimited PTO & 10 Holidays - So you can relax and recharge. 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Fidelity with a 4% match. Minimal Bureaucracy - A fast-moving, high-impact environment where you can focus on what matters. Incredible Teammates! - Work alongside smart, supportive, and mission-driven colleagues.

LLM - Applied AI Research Scientist Employment Type: Contractor assignment (no medical/paid leave) Rate Range: Competitve, TBD Company Overview: Based in San Francisco, California, our client is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. they supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: We are seeking highly skilled Applied AI Research Scientists with deep expertise in Computer Engineering and hardware-centric systems with an MS or Ph.D. in a relevant technical field to design and execute expert-level evaluation tasks that probe the limits of state-of-the-art AI systems. In this role, you will create headroom-level, rigorously verifiable evaluation questions rooted in hardware, architecture, and low-level systems reasoning. Your work will focus on exposing model limitations in areas that require deep technical correctness, precise reasoning, and graduate-level understanding of computing systems-well beyond surface-level explanations. You will work closely with a collaborative, cross-functional team and are expected to be highly detail-oriented, reliable, and committed to accuracy and quality. Roles & Responsibilities: Design graduate- and research-level evaluation questions grounded in hardware and computer engineering domains. Create tasks that require precise, step-by-step technical reasoning with objectively verifiable ground-truth answers. Develop multimodal prompts, including accurate block diagrams, timing diagrams, microarchitecture diagrams, or circuit-level visuals when appropriate. Evaluate state-of-the-art AI models on hardware- and systems-heavy reasoning tasks and perform structured side-by-side comparisons. Identify and document model failure modes related to architectural correctness, performance reasoning, or low-level system behavior. Provide authoritative solutions and explanations for each evaluation task. Maintain detailed and accurate records of prompts, expected answers, and evaluation outcomes in shared tracking systems. Collaborate with reviewers and researchers to refine evaluation quali MS or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field. Strong expertise in at least two of the below hardware- and systems-focused domains: Computer architecture (pipelines, memory hierarchies, cache coherence, ISA-level reasoning) Hardware systems and performance analysis VLSI design, digital logic, or ASIC/FPGA fundamentals Embedded systems and low-level firmware Operating systems (especially memory management, scheduling, and hardware-software interfaces) Compilers or systems programming with hardware awareness Proven experience in technical research, evaluation, or rigorous problem formulation in academic, lab, or production-oriented environments. Strong programming skills (especially Python, C or C++) for analysis, verification, and evaluation workflows. Excellent written communication skills and a strong attention to technical detail. Evaluation Process: Round 1: Take home assessment Offline assessment to be completed and submitted for review. Round 2: Delivery Interview (60 minutes) A combined technical and cultural discussion with the Delivery Team. Additional Information All your information will be kept confidential according to EEO guidelines.

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake. Tech: You will have access to our massive GPU cluster for training and inference Some core technologies we use include Python, torch, diffusers, and the fal Python SDK You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs You have work published in ICCV, ICML, Neurips, CVPR What we offer at fal Interesting and challenging work Competitive salary and equity A lot of learning and growth opportunities We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates. We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites

About the Role We're seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models. You'll help advance the frontier of controllable 3D content creation-building models that generate consistent, editable, and physically grounded 3D assets and scenes. What You'll Do Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction. Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields). Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency. Analyse model behaviour through ablations, visualisations, and quantitative metrics. Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems. Publish results at top-tier venues and work with interns. What You Bring PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics. Published work on diffusion, flow-matching, or score-based generative models (2D or 3D). Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation. Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks). Solid grasp of geometry processing, multi-view consistency, and differentiable rendering. Ability to scale experiments efficiently and communicate complex results clearly. Bonus / Preferred Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout. Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition). Knowledge of video-to-3D, image-to-scene, or 4D temporal generation. Background in physically-based rendering, simulation, or world-model architectures. Track record of impactful publications or open-source releases. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

AI Trainer - Research Scientists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing research-focused content Judging the performance of AI on research design, methodology, and scientific reasoning prompts Improving cutting-edge AI models using your experience in research and experimentation What you'll bring Experience working as a Research Scientist or in a closely related research role A strong understanding of scientific methodology, experimental design, and data analysis A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A Paypal account to receive payment from our clients* Why Prolific is a great platform to join as a Domain Expert participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breadth and the best of humanity. *Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Invitae, part of Labcorp, is looking for a Variant Scientist III to join its team! The Variant Scientist will contribute to a high-performing team that supports variant interpretation and clinical reporting across our product portfolio. The position will be responsible for curating genetic content across different clinical areas to enhance our offerings. Additionally, the role supports development and implementation of processes and tools to improve and scale variant interpretation and clinical reporting. Please note: this position has the option to be 100% remote in the US, or physically located at our laboratory in San Francisco, CA. The schedule for this position will be Monday-Friday, 8am-5pm local time zone. Responsibilities: Up to 75% of your time performing variant interpretation (aka variant curation) using our validated in-house genetic evidence system to generate clear and concise clinical reports Critically analyze and interpret clinical and genetic information, including published literature, public and private databases, functional studies and modeling, as well as patient clinical records Develop, curate, and refine genetic content for a broad range of genetic disorders to support our operations and clinical offerings Achieve and maintain technical and clinical competency through initial and ongoing training in a fast-paced and dynamic environment Receive and provide case-related and performance-related feedback in a direct and supportive setting Participate in development and refinement of tools for analyzing genetic data Support implementation of process improvements to optimize and scale clinical reporting operations Engage with Manager/Senior Manager to support team and departmental objectives Develop and maintain standard operating procedures (SOPs) and address internal and client-facing queries regarding variant interpretation and clinical reporting Other duties as assigned Requirements: Ph.D. in Life Sciences (Genetics / Molecular Genetics /Human Genetics) with minimum 1 year of variant interpretation experience OR Master's degree in Genetic Counseling, biological sciences, molecular genetics, human genetics or a related field with a minimum of 3 years of relevant variant interpretation experience OR Bachelor's degree in Genetics, biological sciences, molecular genetics, human genetics or related field with minimum 5 years of relevant variant interpretation experience Preferred Requirements: Experience in a CLIA diagnostic laboratory, familiarity with next-generation sequencing, genetic variant curation, interpretation of clinical relevance, and knowledge of advanced methods of copy number detection and copy number variant interpretation Experience in one or more of the following areas: hereditary pediatric disorders, ophthalmology, and/or carrier testing Skills and Competencies: Excellent written, verbal, and interpersonal communication skills Ability to adapt to significant change that is inherent in development and innovation Desire to work in and contribute to a fast-paced, highly collaborative environment Demonstrated ability to understand, synthesize, and coherently evaluate complex genetic information. Strong critical thinking skills and ability to work independently. Application Window Closes: 1/27/26 **Salary Range: $119,000 - $172,000 / year All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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

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

University of Colorado Anschutz Medical Campus Department: Linda Crnic Institution for Down Syndrome Job Title: Research Associate #: - Requisition #:37925 The Linda Crnic Institute for Down Syndrome has an opening for a Bioinformatics Analyst / Data Scientist at the Research Associate level to work at the University of Colorado Anschutz Medical Campus in Aurora. The successful applicant will be an integral member of a collaborative team researching various aspects of Down syndrome using multiple omics-based approaches. Current areas of focus include: * The Human Trisome Project (***************** a large cohort study designed to understand why individuals with Down syndrome have a different clinical risk profile compared to the typical population. * Studying the role of immune dysregulation and hyperactive interferon signaling in Down syndrome. * Understanding molecular and genomic features of co-occurring conditions in individuals with Down syndrome. This position is responsible for performing rigorous analysis and integration of multiple -omics datasets in collaboration with other scientists on the team. The successful candidate will have extensive computational and analytical skills and a demonstrated ability perform the tasks outlined below. The duties and responsibilities of the position include, but are not limited to: * Working collaboratively with other members of the team to provide high-level, professional, and scientifically rigorous data management and bioinformatic analyses. * Developing and implementing complex analysis pipelines, programming, and data visualization techniques for multi-layered -omics datasets with a particular focus on single cell RNAseq and CyTOF analysis of peripheral and tissue-resident innate and lymphoid immune cell populations. Application of these techniques for more broad analysis of the transcriptome, metabolome, proteome, and epigenome will also be expected. * Creatively and effectively integrating data from multiple sources to accelerate discoveries. * Thinking independently and creatively to identify and implement best-practice bioinformatic and data management solutions. * Creating and disseminating tools for all team members to access relevant clinical and sample data. * Collaborating with other team members to co-author abstracts, oral and poster presentations, and scientific manuscripts. Work Location: Remote - this role is eligible to work remotely, but the employee must be in the United States. Why Join Us: The Linda Crnic Institute for Down Syndrome is the largest academic home for Down syndrome research. The Crnic Institute collaborates with prominent scientists and leaders around the globe to enable precision medicine approaches to improve health outcomes in Down syndrome. Learn more at: ******************************************************* Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including: * Medical: Multiple plan options * Dental: Multiple plan options * Additional Insurance: Disability, Life, Vision * Retirement 401(a) Plan: Employer contributes 10% of your gross pay * Paid Time Off: Accruals over the year * Vacation Days: 22/year (maximum accrual 352 hours) * Sick Days: 15/year (unlimited maximum accrual) * Holiday Days: 10/year * Tuition Benefit: Employees have access to this benefit on all CU campuses * ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage. Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. * Education: Ph.D. in Immunology, Bioinformatics, Molecular Biology, Computational Biology, or a related field such as Biostatistics. * Experience: Three or more years of experience applying bioinformatic tools to next-generation sequencing data (e.g. RNA sequencing, ChIP-seq, microbiome) and/or related omics-level data. * Special Skills: Strong programming skills in common languages/packages used for bioinformatic and statistical analysis and (e.g. R/Bioconductor/Tidyverse, Python, Perl). * Special Skills: Strong knowledge of statistical principles relevant to biomedical research. Preferred Qualifications The following preferred qualifications will be highly valued in potential candidates: * Experience working with complex high-dimensional data sets in the field of immunology, including sc RNA-seq, CITE-seq, CyTOF, spacial transcriptomics, and spectral flow cytometry of immune cells subsets. * Extensive knowledge of various immune cell subsets including myeloid cells, innate lymphoid cells, T cell subsets, and tissue-resident lymphoid cells. * Special Skills: Strong knowledge of statistical principles relevant to biomedical research. Knowledge, Skills, and Abilities To be successful in this position, candidates will need the following: * Competency with UNIX-based command line tools and shell scripting. * Experience running and troubleshooting jobs in high performance and/or cloud computing environments. * Ability to analyze and solve complex problems and apply quantitative analytical approaches. * Familiarity with principles of reproducible data analysis and good coding practice. * Proven self-initiative and ability to catalyze new projects or ideas. * Exceptional organizational and time management skills, ability to manage multiple projects and analysis requests. * Excellent written and verbal communication skills, as evidenced by publications and/or presentations. * Experience analyzing and mining clinical data, cancer genomics, and related data sets. * Advanced statistical knowledge as applied to bioinformatics / genomics. How to Apply: For full consideration, please submit the following document(s): 1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position 2. Curriculum vitae / Resume 3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at ********************** Questions should be directed to: Anne Fiala, ************************* Screening of Applications Begins: Immediately and continues until position is filled. For best consideration, apply by October 20, 2025 Anticipated Pay Range: The starting salary range (or hiring range) for this position has been established as HIRING RANGE: $62,000-$90,000 The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator: ***************************** ADA Statement: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at ******************************. Background Check Statement: The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Vaccination Statement: CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

NATIONAL LEADERS IN PEDIATRIC CARE Ranked among the top 10 pediatric hospitals in the nation, Children's Hospital Los Angeles (CHLA) provides the best care for kids in California. Here world-class experts in medicine, education and research work together to deliver family-centered care half a million times each year. From primary to complex critical care, more than 350 programs and services are offered, each one specially designed for children. The CHLA of the future is brighter than can be imagined. Investments in technology, research and innovation will create care that is personal, convenient and empowering. Our scientists will work with clinical experts to take laboratory discoveries and create treatments that are a perfect match for every patient. And together, CHLA team members will turn health care into health transformation. Join a hospital where the work you do will matter-to you, to your colleagues, and above all, to our patients and families. The work will be challenging, but always rewarding. It's Work That Matters. Overview This is 100% remote position. CHLA requires a primary residence in California prior to start date. Schedule: Per Diem, Days Purpose Statement/Position Summary: Under the supervision of the Research Associates/Research Managers, recruits project participants and administers structured and/or interview survey materials. May be responsible for data collection, data entry, and/or study documentation. May be responsible for coordinating small research and evaluation projects and staff. Duties are performed with supervision, feedback and guidance from principal investigators. May be responsible for tracking study participants throughout the project life. Minimum Qualifications/Work Experience: 2+ years of qualitative and/or quantitative interviewing experience required. * Experience using CASI interviewing tools preferred. * Experience working with children, youth, and families preferred. * Experience using Microsoft Word, Excel, and Access preferred. Education/Licensure/Certification: High school diploma or equivalent. College education in related discipline preferred. Pay Scale Information USD $44.30 - USD $44.30 CHLA values the contribution each Team Member brings to our organization. Final determination of a successful candidate's starting pay will vary based on a number of factors, including, but not limited to education and experience within the job or the industry. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. CHLA looks forward to introducing you to our world-class organization where we create hope and build healthier futures. Children's Hospital Los Angeles (CHLA) is a leader in pediatric and adolescent health both here and across the globe. As a premier Magnet teaching hospital, you'll find an environment that's alive with learning, rooted in care and compassion, and home to thought leadership and unwavering support. CHLA is dedicated to creating hope and building healthier futures - for our patients, as well as for you and your career! CHLA has been affiliated with the Keck School of Medicine of the University of Southern California since 1932. At Children's Hospital Los Angeles, our work matters. And so do each and every one of our valued team members. CHLA is an Equal Employment Opportunity employer. We consider qualified applicants for all positions without regard to race, color, religion, creed, national origin, sex, gender identity, age, physical or mental disability, sexual orientation, marital status, veteran or military status, genetic information or any other legally protected basis under federal, state or local laws, regulations or ordinances. We will also consider for employment qualified applicants with criminal history, in a manner consistent with the requirements of state and local laws, including the LA City Fair Chance Ordinance and SF Fair Chance Ordinance. Qualified Applicants with disabilities are entitled to reasonable accommodation under the California Fair Employment and Housing Act and the Americans with Disabilities Act. Please contact CHLA Human Resources if you need assistance completing the application process. Our various experiences, perspectives and backgrounds allow us to better serve our patients and create a strong community at CHLA. PRA Kipke Lab

in disease ecology at Purdue University Description Applications are invited for a full-time postdoctoral position in the laboratory of Dr. Catherine Searle, Department of Biological Sciences, Purdue University: ************************************** This is a 12-month appointment that begins as soon as possible. In person is preferred, but remote work can be accommodated. Projects will involve quantifying host competence and characterizing biodiversity-disease relationships with a focus on how these variables change seasonally. This work primarily involves amphibians infected with the fungal pathogen, Batrachochytrium dendrobatidis, but work on a Daphnia-fungus system or other systems is possible. Project specifics will depend on the candidate's expertise and interest. Compensation $50,000-$60,000, commensurate with experience Application Please apply by emailing the following to Dr. Catherine Searle (******************) with "Postdoctoral position application" in the subject: 1) A resume or CV 2) A document or email that describes a. A brief (~1 paragraph) description of previous research experience b. Explanation of why you are interested in this position c. Details on when you could start and whether you would like to be in person or remote d. A list of 2-3 references (will only be contacted after initial screening) Education Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Experience Qualifications Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Preferred: * Expertise in disease ecology, aquatic host-pathogen systems, analyses of infectious disease data, community ecology * Strong quantitative and writing skills * Ability to work independently and collaboratively * Enthusiasm and interest in disease ecology * Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote work) FLSA Status Exempt Apply now Posting Start Date: 12/12/25

A Postdoctoral Fellow/Research Associate position is available in the fields of operations research and supply chain management. The position is funded by Dr. Mahmoudi's recently awarded NSF fund. The postdoctoral fellow will design and implement an optimization-based decision-support model to size and operate the reusable-container pool for a Whirlpool refurbishment center, enabling a smooth transition from single-use to reusable packaging. The successful candidate will primarily work with Dr. Monireh Mahmoudi from the School of Packaging, College of Agriculture and Natural Resources, at Michigan State University, and Dr. Leandro Coelho from the Operations and Decision Systems Department at Université Laval, Canada. This position is contingent upon completion of your Ph.D. degree and receipt of appropriate employment authorization from the U.S. Citizenship & Immigration Services, U.S. Department of Homeland Security. The appointee will be responsible for 1) conducting research and taking leadership in writing research papers and grant proposals; and 2) developing collaboration with other research teams and industry partners. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Operations Research, Industrial Engineering, Supply Chain/Operations Management, Applied Mathematics Minimum Requirements Requirements: Ph.D. in Operations Research, Industrial Engineering, Supply Chain/Operations Management, Applied Mathematics, or a related field (completed or very near completion by the start date). Advanced knowledge of mathematical optimization (e.g., linear and mixed-integer programming, network/flow models, inventory/lot-sizing, and, ideally, stochastic or robust optimization). Hands-on experience formulating and solving models with Gurobi and/or IBM ILOG CPLEX. Strong coding and data skills in Python and R for analysis and model pipelines. Clear, professional communication-strong academic writing and presentation skills; ability to prepare manuscripts and stakeholder-facing reports. Required Application Materials As part of the application process, please submit your application on line or send the following application materials to Dr. Monireh Mahmoudi (mahmou18@msu.edu). Current/Up-to-date full curriculum vitae Sample research papers (published, accepted, and/or working) Contact information of two references (please include email addresses and phone numbers). Special Instructions The search committee will review applications on the 15th of each month, starting from October 15, 2025, until the position is filled. Review of Applications Begins On 10/15/2025 Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website www.packaging.msu.edu Department Statement School of Packaging (College of Agriculture and Natural Resources) at Michigan State University: The School of Packaging (SoP) holds the prestigious reputation of being the first, the largest, and the most comprehensive packaging school in higher education. The school educates students to thrive in careers such as packaging engineering, design, manufacturing, research and development, and sales. Our graduates can be found across most industries and global Fortune 500 companies, and our Ph.D. graduates teach at universities around the world. Students graduate with foundational knowledge across all aspects of packaging, positioning them to work in multiple capacities for top global companies. MSU SoP graduates have developed a strong alumni network, are leaders at all organizational levels, and are thought leaders shaping today's sustainable packaging solutions. Operations and Decision Systems Department at Université Laval, Canada: FSA ULaval is located in Québec City, a UNESCO-designated World Heritage Site. As part of a select group of business schools that hold the prestigious AACSB International and EQUIS accreditations while also being a signatory member of the PRME initiative of the United Nations Global Compact, FSA ULaval is proud of its high-quality education and research, as well as its international reputation for technology-enhanced pedagogical innovation. FSA ULaval ranks among the most dynamic and innovative faculties and business schools in Canada, with 26 research chairs, groups, laboratories and centres MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

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.

The Forensic Psychology Postdoctoral Fellowship at Eastern Louisiana Mental Health System is offered through the Forensic Neuropsychiatry division of the Tulane Department of Psychiatry and Behavioral Sciences. The goal of the fellowship is to enhance and broaden the fellow's forensic assessment skills. Under supervision, fellows will conduct forensic evaluations at an inpatient forensic hospital (Eastern Louisiana Mental Health System - ELMHS) and in private cases. Fellows will perform a wide variety of forensic mental health assessments with forensic patients, incarcerated individuals, as well as those in the community. A wide range of evaluations are requested at the ELMHS forensic state hospital and include: competency to stand trial (CST) evaluations, evaluations for malingering, psychodiagnostic clarification, intellectual and cognitive evaluations, and violence risk evaluations. Evaluees are justice-involved individuals who have been adjudicated not guilty by reason of insanity (NGRI) or deemed incompetent to stand trial by the court. Fellows will be responsible for selecting, administering, scoring, and interpreting psychological tests with the goal of writing high-quality integrated forensic reports. Additional forensic assessment opportunities are available through conducting private evaluations in person in the greater New Orleans area and as a remote evaluator. The scope of evaluation questions are broad and come from referrals from attorneys, courts, and medico-legal professionals. Typical forensic cases will encompass both criminal and civil areas, although the majority of referrals are for criminal evaluations. Referrals include competency to stand trial evaluations, violence risk assessments, mitigation/resentencing evaluations, and trauma and PTSD evaluations in both federal and state court. A large portion of case referrals are for criminal responsibility evaluations. Fellows will also have the opportunity to participate in administrative and clinical meetings, conduct forensic research, and when possible, supervise other trainees under the umbrella supervision of a licensed psychologist. Fellows will attend forensic training seminars and scheduled didactics, including landmark case seminars and expert witness seminars. The forensic fellow is responsible for leading the ACGME-required Forensic Journal Club/Research Seminar. Participation in the annual mock trial conducted jointly with the Tulane Law Clinic and the Tulane Forensic Psychiatry Fellowship is expected. Additionally, opportunities to observe a board-certified psychologist testify and receive supervision on report writing for court and discussion of expert witness skills is a frequent activity. REQUIRED EDUCATION AND EXPERIENCE: * Completion of a Psy.D. or Ph.D. in Clinical Psychology with a concentration in forensic psychology at an APA-accredited program by the start of the fellowship. * Completion of an APA-accredited internship with an emphasis on forensic psychology by the start of the fellowship. * Eligibility for state or provincial licensure or certification for the independent practice of psychology by the start of the fellowship. REQUIRED KNOWLEDGE, SKILLS, ABILITIES/COMPETENCIES TYPICALLY NEEDED TO PERFORM THIS JOB SUCCESSFULLY: 1. Ability to use and interpret forensic psychological assessment instruments and the ability to obtain relevant data through third-party data gathering and a comprehensive forensic interview. 2. Ability to integrate results and formulate interpretations consistent with data, relevant to the conclusions related to the legal question. 3. Excellent forensic report-writing skills, including the ability to write an accurate, comprehensive, and defensible integrated forensic report focused on the referral/psycholegal issue. 4. Experience in reviewing and summarizing case records. 5. Excellent time management, organizational, and self-management skills, including the ability to self-manage remote work. 6. Ability and willingness to travel/commute when required. 7. Excellent communication skills, flexibility, and the ability to work in high-stress situations. 8. Working knowledge of, and practice consistent with, the Specialty Guidelines for Forensic Psychologists and the APA's Ethical Principles and Code of Conduct for Psychologists. 9. Ability to initiate and manage forensic research projects and perform empirical literature searches. PREFERRED QUALIFICATIONS: 1. Strength in assessment, particularly knowledge and experience with administering and interpreting forensic assessment instruments. 2. Interest and ability to provide expert testimony in a clear, articulate manner, consistent with ethical and practice guidelines. 3. Eligibility for board certification in Forensic Psychology by the American Board of Professional Psychology (ABPP) at the conclusion of the fellowship. 4. Interest in conducting forensic research. Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities. Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at ************ or by email at *************.

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 .

The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales. You will develop machine learning methods to extend our predictive and generative platform You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models You will analyze and integrate large-scale biological datasets Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology. Who We're Looking For You have a PhD in a biological field and strong programming skills in Python You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening You have experience working with Protein or Chemical Language Models You like to work collaboratively in a fast-paced startup environment You are passionate about using data science to unlock the secrets of biology You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty You have excellent communication skills and can clearly articulate complex technical concepts You will be expected to travel periodically for in-person team meetings at our NYC HQ Bonus Points You have hands-on experience building AI/ML using PyTorch and Lightning You have experience with cloud computing platforms like AWS You have hands-on biology laboratory experience You have contributed to peer-reviewed publications in computational biology You have knowledge of machine learning techniques applied to biological data Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage

Job Title: Bioinformatics Scientist The Gladstone Infectious Disease Institute is seeking an experienced Bioinformatics Scientist for the development of an AI platform for phage and viral evolution projects, as well as virome characterization and analysis, and to develop a computational pipeline for detecting biomarkers related to viral diseases using novel CRISPR technologies. The ideal candidate will have a strong background in bioinformatics, novel AI/ML approaches, a basic knowledge of virus biology, and experience with next-generation sequencing technologies, especially PacBio, combined with the ability to collaborate closely with experimental scientists in a highly interdisciplinary environment Responsibilities: * Analyze next generation sequencing data to identify and characterize viral variant sequences * Develop and apply machine-learning algorithms and work iteratively with a lab-based approach to refine algorithm and predictions * Design primers or guide RNA for virus sequences for use in PCR, CRISPR-Cas and other molecular biology techniques * Collaborate with other experimental and computational scientists to develop new bioinformatics tools and methods * Stay up-to-date on the latest bioinformatics technologies and techniques * Write scientific reports and manuscripts * Present research findings at conferences and other scientific meetings Qualifications: * Master's degree or more in bioinformatics, computational biology, or a related field * 3+ years of experience in bioinformatics * Strong programming skills in R, Python, or other bioinformatics programming languages * Experience with next generation sequencing technologies especially analysis of Illumina and PacBio data * Experience in machine learning, especially language models * Basic knowledge of virus biology * Excellent communication and presentation skills * Ability to work independently and as part of a team Additional Information: * Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. * Remote working is an option. * Title and salary will be commensurate with education and experience. * Association with vibrant computational environment at Gladstone * Gladstone is an equal opportunity employer. Salary Range: $92K - $108K Gladstone Perks & Benefits * People-work with talented, committed, and supportive teammates within an organization that values each member of its community. * A meaningful place to grow and learn-whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and excellent environment. * Healthy work/life balance-you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work. * Compensation-competitive salary. Title and salary will be commensurate with education and experience. * Excellent benefits-generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation. Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.

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