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Job Description Job Title: Scientist 2, Research & Development Location: Summit, NJ Duration: 03 months Job Description: Batch Preparation: Formulate and prepare batches of consumer health products according to established protocols and specifications. Conduct experiments and trials to optimize formulations and improve product quality. Documentation & Compliance: Maintain comprehensive and accurate documentation of batch formulations, processes, and results in compliance with regulatory standards and company policies. Ensure all records are up-to-date and easily retrievable for audits and quality assurance reviews. Quality Control: Monitor and evaluate batch quality throughout the production process, ensuring adherence to safety and quality standards. Collaborate with the quality assurance team to investigate and resolve any discrepancies or product issues. Collaboration: Work closely with cross-functional teams, including R&D, quality assurance, and production, to streamline processes and enhance product development. Participate in team meetings and contribute to ongoing improvements in laboratory practices and methodologies. Research & Development: Assist in the development of new products and formulations by conducting research and analyzing market trends. Stay current with industry advancements and best practices to incorporate innovative techniques into the batch preparation process. Laboratory Techniques, documentation, formulation development, quality control methods, attention to detail, problem-solving, communication skills, teamwork and collaboration, adaptability, time management. Bachelor's of Science

Job DescriptionAbout Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needsProblem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical visionLeadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Compensation Base salary range: $150,000 – $240,000 per year. The salary range represents Dyania Health's good-faith estimate of the base compensation for this position at the time of posting. Actual compensation will depend on factors such as experience, qualifications, skills, and other job-related considerations. This position may also be eligible for participation in Dyania Health's employee stock option plan. Benefits Benefits available to eligible employees include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Life and disability Insurance Work Arrangement Hybrid position requiring approximately 3–4 days per week in our Jersey City, NJ office, with approximately 1 day per week remote.

Job DescriptionApplied AI Researcher New Jersey, Jersey city GenAI / NLP / Agentic AI / Applied Machine Learning LevelResearch-focused Individual ContributorTarget / alternate titlesApplied Scientist; Research Scientist - NLP; AI Research Scientist; ML Researcher; NLP Scientist; GenAI Researcher; Applied ML ScientistCore keywordsapplied research, LLM, NLP, transformers, RAG, retrieval, model evaluation, experiments, robustness, embeddings, synthetic data, multimodal, PyTorch, Hugging Face, banking AI, AWS AI, AIRPRecruiter red flagsAcademic-only profile with no applied delivery; weak experimental design; cannot translate research into AIRP-ready business or engineering requirements; no awareness of regulated data constraints. Role purpose Bridge advanced AI research and practical enterprise use cases by validating models, methods, and prototypes that can become production-grade AIRP solutions. The role focuses on measurable business value, rigorous experimentation, model behavior, and safe translation of research into banking-relevant applications. Client-specific emphasis • Research must be grounded in enterprise business use cases, not generic AI experimentation., • Candidates should understand how model, retrieval, data, evaluation, latency, cost, and safety decisions affect production delivery on AIRP., • Cloud/AWS awareness is valuable because successful research outputs must be handed off to engineering teams building on AWS-hosted AIRP.Primary ownership, • Applied research agenda for LLMs, NLP, RAG, evaluation, multimodal AI, and agentic workflows relevant to enterprise use cases., • Prototypes, experiments, benchmark design, model-selection recommendations, and production-readiness evidence., • Research-to-production handoff with AI engineering, AIRP platform, product, risk, and governance teams.Key responsibilities, • Conduct applied research in LLMs, GenAI, NLP, information retrieval, multimodal AI, synthetic data, and agentic AI., • Design experiments to evaluate model performance, robustness, safety, scalability, interpretability, enterprise usefulness, and production feasibility., • Prototype AI solutions for KYC, credit underwriting, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening., • Develop evaluation methodologies using golden datasets, adversarial testing, offline benchmarks, human review, business outcome metrics, and risk-specific acceptance criteria., • Assess prompt optimization, RAG, fine-tuning, instruction tuning, synthetic data generation, distillation, and model adaptation techniques., • Document model limitations, data assumptions, hallucination patterns, bias risks, performance boundaries, and control recommendations for regulated deployment., • Collaborate with engineers to convert prototypes into production-ready AIRP requirements, including latency, cost, observability, security, and AWS/cloud deployment considerations., • Track emerging AI research and translate relevant advances into practical recommendations for the enterprise.Must-have candidate profile, • Advanced degree preferred, usually MS or PhD in AI, ML, computer science, statistics, computational linguistics, mathematics, or related field., • Strong foundation in machine learning, deep learning, NLP, transformers, information retrieval, and generative AI., • Hands-on experience with LLMs, embeddings, RAG, model evaluation, and applied GenAI experimentation., • Python skills with PyTorch, TensorFlow, Hugging Face, scikit-learn, or equivalent research frameworks., • Ability to design rigorous experiments and communicate findings to technical, product, business, risk, and governance stakeholders., • Ability to translate research results into production requirements suitable for an AWS-hosted enterprise platform.Preferred experience, • Research or applied science experience in banking, finance, compliance, risk, legal, operations, financial crime, sanctions, or enterprise knowledge systems., • Experience with AWS Bedrock, SageMaker, vector search, MLflow, Databricks, model evaluation tooling, or cloud-based experimentation environments., • Publications, patents, internal research contributions, open-source AI contributions, or prior research-to-production handoffs., • Familiarity with Responsible AI, model validation, privacy constraints, audit documentation, and regulated deployment environments. Regards, Sr. Technical Recruiter Shubham Chandra Shubham.c@echoitsol.com

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world. Join us in our mission to help companies make smarter pay decisions they can trust! About the role Join Syndio to sell mission‑driven, category‑defining tech. We help companies get pay right. For almost a decade, we have led in pay equity software and now, with Decisions, we are delivering instant, explainable guidance for offers, promotions, and adjustments right where work happens. Decisions embeds fairness with policy‑aligned recommendations and auditable guardrails, helping customers hire faster, reduce attrition, strengthen compliance, and improve performance. You'll help the world's largest employers move from fixing pay once a year to getting it right every time by partnering with CHROs, Heads of Total Rewards, Legal, and Talent Acquisition. Because we're creating a category, we need AE comfortable with ambiguity: testing new approaches, learning fast, and folding what works into your talk track. Expect high impact, true enterprise rigor, and a product you can be proud to sell. Why this job is exciting • Own the full sales cycle, from generating pipeline to close. You'll partner with our ADRs and Marketing, and when there are gaps, you fill them and advocate for what your territory needs., • Define and execute territory plans and account plans to ensure you exceed your goals., • Build and manage a healthy pipeline of complex, multi-stakeholder deals, navigating buying committees and RFPs that can involve 10–15 people., • Quarterback the demo: run core product demos yourself, and partner with our Solutions Engineering team to tailor deeper demos around the value, business case, and story each buyer needs to hear., • Participate in the RFP process for prospects, including qualifying leads to ensure a good fit and providing a final review of all responses., • Operate with the mentality that sales is a team sport, and bring in Syndio SMEs (e.g. lawyer, labor economist, data scientist, testifying expert, CEO) to help you win and exceed your goals., • Get in front of customers: we're building a stronger in-person motion, with travel about 1–2 times per quarter for onsites, executive meetings, and events., • Operate as a self-directed owner of your territory in a fully remote, distributed team. You'll build your own structure and cadence rather than wait to be told what to do next.About you, • You have more than 7+ years experience in sales, and 5 years as a closer, • Consistent overachievement in complex enterprise sales, where complexity means the deal, not just the deal size: multiple departments, long cycles, and many steps to close, • You multi-thread naturally, building relationships with 3–5+ core stakeholders on a deal and selling to executives, with a tailored value story for each, • You've sold somewhere scrappy. When something wasn't built yet, or a client asked a question you couldn't answer, you figured it out instead of waiting for a team to do it for you, • You forecast accurately because you know your deals: you spot what's missing and work with your manager to close the gap, • You can run a confident product demo and tell the story behind it, and you know when to bring in a Solutions Engineer, • You have experience in outbound prospecting and generating leads in your territory, • You are proficient in Salesforce, LinkedIn Sales Navigator, Outreach (or equivalent), and Gong. You use AI tools (e.g. Claude/ChatGPT, Gong AI, Clay) as a normal part of how you research accounts, prep for calls, and personalize outbound, not as a novelty, and you bring ideas for where technology can help the team, • You have a highly disciplined approach to selling, • You are savvy, capable of curating a thoughtful approach to pay equity, diversity and inclusion, and workplace fairness for each individual client, • You're comfortable operating in ambiguity, building your own playbook when one doesn't fully exist yet, rather than waiting for one, • You bring a positive attitude, hustle, and persistence to your role, • You are an excellent communicator, able to build relationships quickly with your colleagues, clients, and prospects, • You're consultative, not scripted. You're curious, a great listener who knows where to poke and prod with prospects to inspire them to take action and drive organizational change, • You know how to drive a deal and proactively lead prospects and customers (rather than reacting to their requests), • You are proficient with spreadsheets, presentation, and project management business applications, • You are committed to our mission of workplace equity and passionate about Syndio productsExtra credit, • Experience selling to compensation and total rewards professionals, • Overall understanding of the HR technology landscape, • Background selling compensation, HR, Business Intelligence/Analytics solutions, • Experience selling an AI-native or AI-augmented product, where the pitch itself has to explain how the AI works, not just what it does, • A track record of in-person, field-based selling: onsites, coffees, and events that build relationships beyond ZoomRole progression We're rebuilding onboarding with AI built in across every function, so new AEs ramp faster, with a ramped quota through your first year. • Within 2 months, you'll know the core of Syndi, understand Essentials and Decisions, the pay equity and compensation space, and the vocabulary our buyers use. You'll be leading discovery calls and core demos, and you'll have a territory plan., • Within 3–6 months, you'll be building pipeline across your territory through outbound, events, and in-person meetings, and leading sales efforts at large enterprise accounts with SE support., • Within 6 months, you'll be confident in your role and will provide input into other areas of the business (e.g. marketing & product) based on what you're hearing from prospects. For reference, our most recent AE hire closed their first deal within 6 months and exceeded quota the first year.Why you'll love it here:, • ???? Competitive Compensation. For this role our base salary is targeted at $145,000- $150,000 base per year with a $290,000 - $300,000 at target earnings, with no cap. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • ???? Syndio Equity. So you can share in Syndio's success., • ???? Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave., • 16 weeks of paid parental leave, • ???? Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • ???? Life Insurance & Disability. Syndio covers the full premium., • ???? 401(k). To help you save for your future., • ????Remote-first working model, with travel about 2-3 times per quarter #LI-Remote The Interview overview Below you'll find an outline of the interview plan for our Account Executive position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min interview with a member of our Talent Team, • 45 minute zoom interview with the Hiring Manager, • 45 minute zoom interview with a sales leader and one of our Account Executives, • Zoom interview with a member of our executive team, • Final presentation to a panel - 60 minutes, • In person meet & greet At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Important information: To be immediately considered, please send an updated version of your resume to somp767@kellyservices.com. Title: Data Scientist – Formulation & Product Development Location: Clark, NJ ((Hybrid – Onsite 3 days per week) Duration: 6 months possibility of extension W2 Contract (No C2C) Pay rate: $57 per hour Key Traits / Profile • More autonomous and proactive, • Understands the problem, not just the data, • User-facing and comfortable working with business stakeholders, • Suggests solutions and drives outcomes, • Not passive; takes initiative and ownership, • Data Scientist with 3+ years of experience Job Summary We are seeking a highly motivated Data Scientist to transform complex data into actionable insights by developing both predictive machine learning models and GenAI-based solutions that support business decision-making. The ideal candidate will take ownership of projects from problem definition through deployment, working autonomously, proactively, and with a solution-oriented mindset. 📋 Responsibilities • Design, develop, and deploy predictive machine learning models, including regression, classification, clustering, time series, and forecasting solutions on structured data., • Design and deploy GenAI-based solutions, including retrieval-augmented generation (RAG), AI agents, prompt engineering, model adaptation, and fine-tuning., • Select the most appropriate approach for each business problem, whether predictive ML or GenAI, based on performance, cost, and business value., • Evaluate and monitor models in production, including performance, drift, hallucinations, bias, and cost., • Explore, clean, and analyze large structured and unstructured datasets in collaboration with Data Engineers., • Translate business requirements into measurable solutions and present findings through dashboards and effective storytelling., • Proactively identify opportunities and recommend new data and AI use cases. 🛠 Requirements • Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field., • 3+ years of hands-on Data Science experience, including both predictive machine learning and GenAI implementations in production environments., • Predictive ML: Strong Python skills, solid statistical knowledge, feature engineering, model validation, and experimentation experience., • GenAI: Experience with prompt engineering, retrieval-augmented architectures, vector databases, GenAI frameworks, and evaluation of generated outputs., • Advanced SQL skills, data visualization tools (Power BI, Tableau, or equivalent), and Git., • Fluent English communication skills; French is a plus. ➕ Nice to Have • Experience in a scientific domain, preferably pharmaceuticals or cosmetics (e.g., R&D, formulation, ingredients, clinical studies, consumer research, or regulated environments)., • Experience with fine-tuning, agentic workflows, MLOps, and GenAIOps., • Experience with cloud platforms (Azure, GCP, AWS) and Spark/Databricks. 🌟 Soft Skills • Autonomy: Effectively manages priorities and delivers results with minimal supervision., • Proactivity: Anticipates needs, takes initiative, and proposes solutions rather than waiting for direction., • Communication: Clearly explains complex analytical results and AI limitations to both technical and non-technical audiences., • Collaboration & Curiosity: Works effectively across cross-functional teams and stays current with rapidly evolving AI technologies., • Problem-Solving Mindset: Focuses on understanding business challenges and driving practical solutions, not just analyzing data.

Job Description: Insight Global is looking for a Formulation Scientist to join the team Research and Development organization with one of our largest consumer healthcare companies. This individual will be responsible for batching, stability testing, and compliance documentation within electronic systems. They will be supporting an ongoing compliance initiative and will be focusing on laboratory activities including formulation and testing. The ideal candidate will have industry experience within the personal care or cosmetics industry in a laboratory environment. Paid Holidays and PTO included. **They will be utilizing equipment such as homogenizers, mixers, and scales. **Product Types: Washes, Lotions, Shampoos, Oils, Creams, and Powders. Must-haves -Bachelor's degree in Chemistry, Chemical Engineering, Biology, Pharmaceutical Sciences, or a related scientific field. -2+ years of experience in an R&D, formulation, product development, or laboratory environment. -Experience within consumer products, personal care, cosmetics, OTC, medical device, or pharmaceutical industries. -Experience with stability testing, emulsions, cleansers, creams, lotions, or topical products.

Applied Scientist (Remote | $245–$280/hr) Position: Applied Scientist Type: Contractor Compensation: $245–$280 per hour Location: Remote About the Opportunity An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. Key Responsibilities • Design and execute statistical analyses to uncover insights from complex datasets., • Develop, validate, and evaluate machine learning models for business and research objectives., • Apply data modeling techniques and manage data transformations using Python and Pandas., • Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes., • Document methodologies, findings, and recommendations clearly and accurately., • Review peer contributions and provide constructive technical feedback., • Deliver reproducible code and organized analytical reports., • Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning., • Create expert-level prompts, datasets, and reference solutions., • Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning., • Provide structured feedback to improve AI model performance. Required Qualifications • Strong proficiency in Python and data analysis., • Knowledge of machine learning, statistics, experimentation, and data modeling., • Experience with Pandas and related data science tools., • Strong analytical, problem-solving, and quantitative reasoning skills., • Excellent written and verbal communication skills. Preferred Qualifications • At least one year of experience at a leading company in technology, finance, or research., • Proficiency with Python libraries such as Pandas and scikit-learn., • Demonstrated experience in applied statistics, experimental design, and machine learning., • Experience developing, tuning, and evaluating machine learning models., • Ability to work with structured and unstructured data., • Experience collaborating on cross-functional or open data science projects., • Advanced academic background or practical experience in data science, applied mathematics, or a related field. Compensation • Hourly compensation of $245–$280., • Remote, contractor-based engagement. Application Process The application process was not specified in the provided listing.

All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected char

The Associate Research Scientist specializes in implementation science, qualitative and mixed methods research, and applied health services research. A successful Associate Research Scientist typically advances to Research Scientist in one to three years. This role requires experience in designing a

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence.Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care.With one of the largest proprietary radiology report datasets in the world,

We are hiring experienced clinical and research scientists, including clinical laboratory scientists, translational researchers, assay development scientists, postdoctoral researchers, and advanced doctoral candidates, for a contract project that tests whether frontier AI agents can carry out real w

We're Hiring: Senior Research Scientist | LLMs, Conversational AI & Applied Machine Learning An exceptionally well-funded, high-growth AI unicorn is looking for a Senior Research Scientist to join its research team and help shape the next generation of intelligent AI systems. Backed by some of the world's most prominent venture capital investors, this company is building sophisticated AI agents that are already transforming how major industries operate. This is a rare opportunity for an accomplished researcher to move beyond purely academic research and own ambitious research initiatives, influence the technical roadmap, and see their work deployed into real-world AI products at scale. What You'll Be Working On • Leading cutting-edge research across large language models, conversational AI, machine learning, and AI safety., • Developing novel ML approaches, predictive models, and advanced evaluation methodologies., • Taking research from initial hypothesis and experimentation through to production deployment., • Helping define the company's long-term research direction and technical strategy., • Collaborating with exceptional researchers and engineers to solve complex, open-ended problems. Who We're Looking For • PhD in Computer Science, Mathematics, Theoretical Physics, or a closely related quantitative discipline., • 5+ years of postdoctoral research experience in academia or industry., • Strong academic research credentials, ideally with publications at leading conferences or journals., • Exceptional mathematical foundations, statistical reasoning, and programming ability., • Researchers who thrive on intellectual challenges and want greater ownership over the impact of their work. Why This Opportunity Stands Out • Research ownership: Shape the research agenda rather than simply execute someone else's roadmap., • Real-world impact: Work on AI systems already solving meaningful problems in production., • Exceptional financial backing: Join a rapidly scaling AI unicorn with significant resources and long-term ambition., • High-caliber environment: Work alongside ambitious researchers in a fast-moving, technically demanding organization., • Career acceleration: An opportunity to influence both scientific direction and product development as the company continues to scale.

Applied Scientist (Remote | $245–$280/hr).An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning.Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quali

Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4–6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics • Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics., • Design and execute advanced statistical analyses to identify business trends, risks, and opportunities., • Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets., • Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization., • Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues., • Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development • Design and implement end-to-end machine learning pipelines from data ingestion to deployment., • Perform feature engineering, feature selection, and data transformation to improve model performance., • Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies., • Optimize machine learning algorithms for scalability, accuracy, and interpretability., • Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration • Partner with data engineering teams to build scalable data pipelines and analytical data models., • Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms., • Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication • Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics., • Present analytical findings, model results, and recommendations to both technical and non-technical audiences., • Translate complex data science concepts into business-friendly insights and actionable recommendations., • Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting • Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools., • Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: • MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field., • 5+ years of applied machine learning, data science, or AI experience in a professional setting., • Demonstrated experience owning projects or major workstreams from initial problem definition through delivery., • Excellent programming skills in Python to include strong overall OOP experience., • Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks., • Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider., • Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI., • Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining., • Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar., • Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services., • Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous., • Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams., • Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders., • High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: • Hands-on experience with the C3 AI platform., • Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role., • Experience delivering AI solutions for large enterprises or Fortune 500 clients., • Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries., • Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization., • Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

An established global trading firm is opening a new chapter in AI.Having built one of the most respected proprietary trading businesses in the world, it is now creating a dedicated AI group and expanding the central team behind it.The group’s research covers deep learning, foundation models, gener

Strong professional or research experience in machine learning. Experience at an established technology company, AI laboratory, or research organization.

PhD talent recruitment and R&D empowerment.We cooperate with leading global tech innovators to build an elite, flexible research platform for doctoral talents.Centering on high-potential fields including AI, New Energy and Advanced Manufacturing, we connect industrial cutting-edge R&D needs with out

Experience at an established technology company, AI laboratory, or research organization. Strong professional or research experience in machine learning.

The successful candidate will work closely with investment and technology professionals to translate advanced machine learning research into actionable trading signals, operating within a collaborative environment where scientific rigour and independent thinking are highly valued. Collaborate with r

Artificial Intelligence | Advanced Manufacturing | New Materials | Biotechnology & Pharmaceuticals | New Energy | Electric Vehicles | Data Science | Life Sciences | Environmental Science | Digital Economy | Strategic Technologies.

Noetive is a research lab building recursive self-improvement to develop intelligence for the physical economy.At Noetive, you'll push the frontier of what foundation models can do across language, vision, and world model development, designing and running experiments on pre and post-training, reas

Working directly with leading frontier AI organizations, the team develops novel evaluation frameworks, applied AI systems, and real-world data that help advance the capabilities of frontier models. Seed-stage frontier AI infrastructure company with offices in San Francisco and New York building the

ML Engineer (MSc. or PhD) (Remote | $60–$120/hr) Position: ML Engineer (MSc. or PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents. Key Responsibilities • Develop and validate machine learning models, training pipelines, and inference systems., • Implement model components, data pipelines, evaluation systems, and numerical methods., • Build reproducible workflows using Python and command-line tools., • Debug numerical and system-level issues and optimize memory usage and performance., • Create, solve, review, and validate challenging machine learning engineering tasks. Required Qualifications • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field., • Strong professional or research experience in machine learning., • Practical proficiency in Python and experience using coding agents., • Ability to implement, debug, and validate complex machine learning workflows. Preferred Qualifications • Experience at an established technology company, AI laboratory, or research organization., • Exceptional academic or open-source engineering experience demonstrating relevant expertise. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

As The Mark Foundation continues to expand its global research portfolio, we are seeking an accomplished scientist to join our team as a Scientific Director or Senior Scientific Director, depending on the candidate’s experience and qualifications, to help shape the future of cancer research and ex

As a Senior AI Research Scientist, you will bridge cutting-edge AI research with production engineering to build intelligent systems that create measurable business impact. Rather than conducting research in isolation, you will be responsible for transforming advanced AI capabilities into scalable,

STEM Expert (MSc./PhD) (Remote | $60–$120/hr) Position: STEM Expert (MSc./PhD) Type: Contractor (Part-Time, approximately 15 hours/week) Compensation: $60–$120/hour Location: Remote (Worldwide) About the Opportunity This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows. Candidates need deep expertise in at least one relevant scientific or quantitative field; expertise across all STEM disciplines is not required. Key Responsibilities • Solve complex scientific, mathematical, and technical problems within your area of expertise., • Review AI-generated solutions for scientific, mathematical, and factual accuracy., • Identify incorrect assumptions, reasoning errors, and overlooked constraints., • Use Python or other programming languages for calculations, simulations, and validation., • Provide rigorous, technically accurate solutions and feedback. Required Qualifications • Strong expertise in at least one STEM field, such as chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics., • Practical proficiency in Python or another programming language., • Strong scientific, mathematical, or quantitative problem-solving skills., • Experience using coding agents in technical workflows. Preferred Qualifications • Familiarity with scientific tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or relevant domain-specific libraries., • Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work. Compensation • $60–$120/hour, with output-based payment for tasks meeting project specifications., • Approximately 15 hours per week with a flexible schedule., • Immediate availability preferred; first task expected within 24–48 hours after onboarding. Application Process • Apply for the role and complete the screening questions., • Complete an AI interview of approximately 30 minutes., • Complete the hiring manager review., • If selected, complete onboarding and begin the first task within 24–48 hours.

This opportunity is for experienced.AI research and evaluation project.You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through.You'll create research prompts, build supporting data rooms using real source-grounded i

Join occasional expert calls of 30 to 60 minutes with research teams who want to understand how experts approach a specific problem. Write realistic problems from your own area of expertise, along with reference solutions that show the reasoning a skilled scientist would follow, not only the final a

Relevant expertise gained through academic research, industry, teaching, engineering, or independent technical work.

Drug Discovery Scientist Position: Drug Discovery Scientist Type: Hourly Contract Compensation: $60–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Drug Discovery Scientists to contribute to an advanced AI research and evaluation project focused on pharmaceutical research and development. You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through incomplete, indirect, and potentially misleading scientific evidence. You'll create research prompts, build supporting data rooms using real source-grounded information, develop rigorous grading frameworks, and validate the resulting tasks. The role is ideal for experts who can distinguish genuine scientific reasoning from pattern matching and confidently evaluate the quality of complex research conclusions. Responsibilities • Design challenging, realistic drug discovery research problems based on authentic scientific workflows., • Develop research scenarios where the correct conclusion must be derived from multiple pieces of evidence rather than directly stated., • Build comprehensive data rooms using real, source-grounded scientific data and documentation., • Ensure every decisive scientific value and piece of evidence can be traced back to a reliable source., • Create detailed grading documents and evaluation rubrics that assess scientific reasoning and substantive conclusions., • Evaluate AI-generated research outputs for scientific accuracy, logical consistency, and defensibility., • Run verification and calibration processes to ensure tasks are reproducible, appropriately difficult, and objectively scorable., • Identify weaknesses in task design, evidence, or evaluation criteria and revise them accordingly., • Provide expert judgment on scientific questions, task difficulty, and the quality of AI reasoning., • Collaborate with project reviewers and other domain experts to refine research tasks. Required Qualifications • Professional expertise in one or more of the following areas:, • Mechanistic enzymology, • Structure-guided peptide design, • Structure-guided antibody design, • Fragment-based drug discovery, • Structure-based medicinal chemistry, • PhD or equivalent industry experience in drug discovery, medicinal chemistry, chemical biology, biochemistry, or a closely related field., • Strong understanding of drug discovery research methodologies and scientific evidence evaluation., • Ability to construct complex scientific problems with defensible conclusions., • Strong analytical and critical-thinking skills., • Ability to evaluate scientific reasoning quality, not simply final answers., • Strong scientific writing and documentation skills., • Comfortable working independently in a remote research environment., • Ability to commit at least 20 hours per week. Preferred Qualifications • Experience designing or evaluating drug discovery research strategies., • Strong background in structure-based drug design, protein–ligand interactions, enzymology, or molecular discovery., • Experience working with scientific literature, experimental datasets, structural data, and research documentation., • Experience developing research assessments, scientific benchmarks, or evaluation frameworks., • Familiarity with open-source scientific tooling and computational research workflows., • Experience evaluating AI-generated scientific research or technical outputs is a plus., • Strong ability to distinguish defensible scientific conclusions from unsupported assumptions or superficial reasoning. Compensation • Competitive compensation of $60–$90/hour., • Hourly contract engagement., • Fully remote., • Minimum commitment: 20 hours/week., • Up to 40 hours/week available., • Claude Max subscription required for the project and fully reimbursed., • Work conducted through a browser-based research studio and Claude Code. Application Process • Apply to the role, • Complete the required screening questions, • Provide details about your drug discovery and scientific research experience, • Complete the relevant scientific assessment, • Participate in the evaluation/interview stage, • Complete onboarding and tooling setup, • Begin designing and evaluating drug discovery research tasks

You'll apply your scientific expertise to design realistic, evidence-driven drug discovery problems that require AI models to reason through. Strong background in structure-based drug design, protein–ligand interactions, enzymology, or molecular discovery. Provide details about your drug discovery

Contractor (Part-Time, approximately 15 hours/week).This opportunity is for STEM and scientific-domain experts to contribute to AI training through technical problem-solving, scientific reasoning, data analysis, and Python-based workflows.Candidates need deep expertise in at least one relevant scien

What we are looking for Verasight is building the future of survey research with unparalleled data quality and a re-imagined respondent experience. Our team recognizes the importance of high-quality data for our customers to make key decisions that affect national policy, academic research, the direction of Fortune 500 companies, and important public conversations. We are looking for a Data Scientist to help us expand our capacity to field high quality surveys for our clients. This role will apply and expand Verasight’s code base to execute rigorous and replicable data collection, analysis, quality control, and reporting methods. We are a scrappy team and you will have an opportunity to help expand access to high quality survey data. We depend on colleagues who are diverse, team oriented, novel thinkers, and passionate about redefining the data landscape. Verasight works to create a welcoming community in which all individuals are respected and included. Meet the Verasight team here: https://www.youtube.com/watch?v=WC3Zx3TKZzc How to Apply Does this position sound like a good fit? Email us at • Include this role's title in your subject line (it'll help us to sort through the emails), • Include your CV/Resume, a one-paragraph statement of interest, and a link to your GitHub profile (if available) Responsibilities • Leverage Verasight’s data pipelines and processing procedures to own the data collection and quality process from end to end, including: building contact lists and sampling frames, monitoring survey fielding, cleaning and analyzing survey response data, writing methodology documentation, and preparing client deliverables, • Manage multiple simultaneous projects throughout all stages of the project life cycle, identifying potential roadblocks early and proactively proposing solutions, • Contribute, in collaboration with the Verasight team, innovative methods of automation and expand the data science team “toolbox” to suit a wide variety of data needs, • Conduct internal experimentation and research to hone Verasight’s approach to survey research, • Bring a creative and solutions-oriented mindset Required Qualifications • Experience coding in R, including writing custom functions, package development, REST API integration, and writing reusable and well documented code, • Enthusiasm for bringing AI tools (such as Claude Code) to survey research, • Knowledge of quantitative survey research methodologies, statistical concepts, and the ability to apply them to solve novel problems, • Innovative, independent mindset and a willingness to learn new technical and statistical skills when needed to tackle emerging challenges, • Strong communication skills to suit a highly-collaborative fast-paced remote work environment, • Experience managing multiple ongoing projects with competing deadlines, • Commitment to working in an inclusive environment Preferred Qualifications • Experience with commonly used survey software platforms, such as Qualtrics, • Familiarity with GitHub for collaborative code development, • Practical experience using voter file data (e.g., L2, Catalist, TargetSmart), • Knowledge of survey weighting practices, including population benchmark data (e.g., Census) and poststratification techniques (e.g., raking), • Experience writing SQL, • Familiarity with JavaScript, • 2+ years of survey or social science research experience Benefits • Competitive salary based on experience, • Health insurance, • 401k with company matching, • Opportunity to travel to represent Verasight at conferences, • Gain experience working directly with government agencies, nonprofits, academic researchers, and corporations, • Remote work About Us Founded by Peter Enns (Cornell Professor of Government & Public Policy) and Ben Leff (Stanford GSB and ex. Goldman Sachs), Verasight was built by and for academic researchers. Our customers include national media organizations, Fortune 500 companies, national and state government agencies, investors, brands, and researchers. We are looking for bold leaders to join our team to re-invent what it means to collect and analyze survey data.

The Principal Scientist/Director, Value & Implementation (V&I) Outcomes Research, position resides in the V&I organization, which includes Global Medical and Scientific Affairs as well as Outcomes Research. Under the guidance of a senior leader, this position supports value evidence outcomes research plans and real-world evidence activities for in-line and pipeline products in prostate and kidney cancers to meet the value evidence needs of clinicians, payers, policymakers, health technology assessment (HTA)/reimbursement agencies and health systems globally. Types of studies executed include prospective and retrospective observational studies to characterize disease burden and epidemiology, treatment patterns, health-care resource utilization and costs, physician and patient satisfaction surveys, clinical and patient-reported outcomes assessments, systematic reviews and meta-analyses, and economic modelling. Key responsibilities also include development of American Managed Care Pharmacy (AMCP) dossiers for U.S. payers and Global Value Dossiers for use by local subsidiaries in their HTA submissions. The incumbent is expected to contribute to product development and marketing strategies throughout the lifecycle to ensure that product value is defined and developed to achieve optimal market/patient access and reimbursement. The incumbent is expected to work cross-functionally with clinical development, medical affairs, biostatistics, market access, commercial, and country affiliates and may have direct interactions with HTA agencies, reimbursement decision makers, and national immunization technical advisory groups. Responsibilities and Primary Activities • Partners with Medical Affairs counterparts to develop, execute and deliver on the Value and Implementation (V&I) plan., • Helps achieve / sustain reimbursement and market access for the program and indications under their responsibility., • Critically assesses drivers and barriers to reimbursement and market access, and provides input into clinical, regulatory, payer/access, marketing and evidence generation strategies and programs., • In collaboration with internal teams and external partners, designs studies; authors study protocols; and develops measurement questionnaires, case report forms, data analysis plans, final study reports, scientific presentations, and publications., • Responsible for study-related contracting, budgets, and vendor/partner management and ensures study conduct is aligned with company Policies and standard operating procedures (SOPs) and world-wide regulations and standards, including Good Pharmacoepidemiology Practice (GPP) for applicable work., • Develops American Managed Care Pharmacy (AMCP) dossiers for U.S. payers and Global Value Dossiers., • Develops supplementary clinical data package in close partnership with markets and HTA statistics group for submission to HTA agencies., • Supports country affiliates to understand local evidence generation needs, adapts health economic evaluations, and customizes outcomes research documents, such as protocols and reimbursement dossiers, according to local requirements., • Works closely with cross-functional teams to effectively communicate outcomes research and health economic modelling data internally and to external stakeholders., • Maintains awareness of new scientific and methodological developments within therapeutic area., • Builds relationships with scientific experts worldwide., • Presents outcomes research data at national and international congresses and publishes articles in scientific journals. Required Qualifications, Skills and Experience • Doctoral degree (PhD, MD, DrPH, ScD, or PharmD with fellowship in relevant discipline (Health services research, Outcomes research, Epidemiology, Public health, Health economics, Pharmacoeconomics, Pharmacy administration), • Four or more years of experience post-doctoral degree or 7+ years of experience post master's degree in life science industry conducting NIR and generating Value Evidence, • Oncology experience The following skills and knowledge are needed to be successful in this role: • Decision making: Identifying and understanding problems and opportunities by gathering, analyzing and interpreting quantitative and qualitative information; choosing the best course of action by establishing clear decision criteria, generating and evaluating alternatives, and making timely decisions; taking action that is consistent with available facts and constraints and optimizes probable consequences., • Emotional intelligence: Meeting the personal needs of individuals to build trust, encourage two-way communication and strengthen relationships. Ability to work with difficult stakeholders while achieving business results., • Networking and partnerships: Building partnerships; developing and leveraging relationships within and across work groups to achieve results., • Innovation: Creating novel solutions with measurable value for existing and potential customers (internal or external); experimenting with new ways to solve work problems and seize opportunities that result in unique and differentiated solutions., • Knowledge of evolving payer and reimbursement environment: Educate the asset teams on impact of US Value Assessment and other key market HTA requirements on the asset and possible mitigation strategies. Required Skills: Data Analysis, Data Management, Emotional Intelligence, Evidence Gathering, Health Economics, Market Assessments, Market Opportunity Analysis, Observational Studies, Outcomes Research, Pharmacoeconomics, Product Management Strategy, Qualitative Analysis, Researching, Research Reporting, Stakeholder Negotiations, Stakeholder Relationship Management, Strategic Planning, Study Design, Value Propositions, Values Assessment Preferred Skills: Real World Evidence (RWE)

Biomarker Development, Biomarker Discovery, Biomarker Identification, Biomarker Qualification, Biomarkers, Clinical Development, Clinical Research, Dermatology, Gastroenterology, Gastrointestinal Disease, Immunogenicity, Immunology Research, Immuno-Oncology, Inflammatory Diseases, Omics, Personalize

Required Skills: Biomarker Development, Biomarker Discovery, Biomarker Identification, Biomarker Qualification, Biomarkers, Clinical Development, Clinical Research, Dermatology, Gastroenterology, Gastrointestinal Disease, Immunogenicity, Immunology Research, Immuno‑Oncology, Inflammatory Diseases,

Employee Status: RegularRelocation:No relocationVISA Sponsorship:NoTravel Requirements:10%Flexible Work Arrangements:HybridShift:Not IndicatedValid Driving License:NoHazardous Material(s):N/AJob Posting End Date:10/19/2026*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job p

Employee Status: RegularRelocation:DomesticVISA Sponsorship:NoTravel Requirements:25%Flexible Work Arrangements:HybridShift:Not IndicatedValid Driving License:NoHazardous Material(s):n/aJob Posting End Date:10/29/2026*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job postin

Supervise the activities of Clinical Scientists in the execution of clinical studies. Developing clinical development strategies for investigational drugs and planning clinical trials (design, operational plans, settings) based on these clinical development strategies. Clinical Development, Clinical

Cancer Research, Clinical Development, Clinical Research, Clinical Studies, Clinical Trials, Medical Monitoring, Oncology. Oversee the execution of clinical studies by working closely with Clinical Scientists in daily medical monitoring activities;. The Clinical Director (Principal Scientist) has pr

Breast Cancer Research, Clinical Medicine, Clinical Research, Clinical Research Management, Clinical Trial Development, Cross-Functional Teamwork, Drug Development, Oncology Research. Supervise the activities of Clinical Scientists in the execution of clinical studies. Analyzing and summarizing the

Rutgers University’s Rutgers Biomedical and Health Sciences in Newark and New Brunswick seeks a Research Scientist III to lead data analyses and contribute to NIH-funded projects on maternal and cardiometabolic health.

Position Details Position Information Recruitment/Posting Title: Research Scientist III Job Category: Staff & Executive - Research (Laboratory/Non-Laboratory) Department: SHP - Clinical & Preventive Nu Overview: New Jersey's academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes

Prior direct management experience leading a team of PhD-/MD-level scientists with a demonstrated passion for and track record of talent development requiredPrior experience in drug discovery in oncology strongly preferredRequired Skills: Antibody Drug Conjugates (ADC), Biomarkers, Clinical Oncology

You'll build the systems that make reinforcement learning work at frontier scale — coupling policy optimization with large fleets of inference workers, agentic environments, and the reward and verification systems that turn model behavior into learning signal.

Maintain comprehensive and accurate documentation of batch formulations, processes, and results in compliance with regulatory standards and company policies. Assist in the development of new products and formulations by conducting research and analyzing market trends. Monitor and evaluate batch qual

A health technology company in Jersey City is hiring a Staff or Senior Staff Research Scientist to lead AI/ML and LLM model development.

Postdoctoral Fellow - Natural Language Processing (NLP) and Artificial Intelligence (AI)Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight from unstructured textEnsures life cycle management of code is maintained through version control and ass