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Do you want to help design the next generation of materials used for batteries, space exploration or water purification? Are you interested in getting a PhD? A position is available in Prof. Jacob Gissinger's group at Stevens Institute of Technology (nanocipher.org), for Fall 2026. The research will involve computational design of polymeric systems, such as polymer electrolytes, or high-performance polymers and composites for use in extreme environments. Prerequisites Applicant must not have a PhD. Applicant must hold a bachelor's degree before Fall 2026. American citizenship required for some projects. Why Stevens? We are a research-intensive university in a prime location. Quiet Hoboken is a 10-minute subway ride from downtown Manhattan. Responsibilities Be excited to do research. Be curious. Be willing to learn. Qualifications • Bachelor's degree in materials science, chemical engineering or related fields, • Programming skills in languages such as Python, • Ability to work in an interdisciplinary and collaborative environment, • Excellent written and verbal communication skills, • Background in computational materials science, machine learning and polymer engineering preferred Please direct any questions to Prof. Gissinger at . For more information about the group, visit nanocipher.org.

About Cellsense Cellsense transforms algae and cellulose into sustainable beads and beaded fabrics for the fashion, jewelry, and beauty industries. Cellsense’s proprietary material replaces sources of microplastics and heavy metal pollution while offering designers a wide range of brilliant colors, clarities, and properties such as fluorescence. Our innovative manufacturing system cuts lead time of customized beaded products from weeks to days by eliminating expensive tooling and tedious manual labor from conventional processes. Currently, we are focused on scaling up our process while engaging in paid pilots with industry partners. We recently closed our pre-seed round and have received inbound interest from 55+ companies. You would be joining at a particularly exciting stage of growth. The Role We're looking for a material scientist to help lead formulation and chemistry development at Cellsense as we scale. You'll work across our biopolymer systems to improve material clarity, surface finish, durability, and processing behavior, and support the transition of formulations from lab to manufacturing. You'll collaborate closely with our founder, engineering team, and technical advisors. As part of a small team, your work won't be limited to the lab. You'll join brand partner meetings, contribute to IP strategy, help evaluate new product directions, and occasionally support grant writing. Your formulations will go directly into commercial production. Responsibilities • Design and refine multi-component biopolymer blends that balance clarity, surface feel, mechanical strength, and durability, • Experiment with fillers, plasticizers, crosslinking chemistry, and processing aids to hit specific optical and mechanical targets, • Characterize material properties using relevant analytical methods to inform formulation decisions, • Translate abstract design briefs from brand partners into measurable material specifications and reproducible protocols, • Optimize rheology so our automated dispensing and molding systems run consistently, • Establish and maintain QA/QC standards across production, • Contribute to grant submissions when required What We're Looking For • MS or PhD in materials science, polymer chemistry, chemical engineering, or a closely related field with at least 2 years of industry experience. Strong candidates with a BS and 3-5 years of relevant industry experience will also be considered., • Experience formulating polymers, hydrogels, or composites; not just characterizing them. You've actually mixed, modified, and scaled materials yourself., • Understanding of biopolymers, crosslinking mechanisms, and phase behavior., • Can independently design experiments, execute protocols, analyze data, and document results so they can be reproduced and scaled., • Comfortable taking initiative and working across disciplines in a startup environment. What We Offer • Competitive salary + equity, • Health insurance and benefits, • Opportunity to work on meaningful environmental impact as part of a tightly knit team, • Ownership of formulation and chemistry development, • Job Type: Full-time, on-site, • Travel: 10-15% (domestic) Apply Send your CV and, if available, a brief summary or portfolio of relevant projects to with the subject line "Material Scientist."

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Manufacturing - Chemical Engineering Expert Type: Contract Compensation: $55$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include process flow diagrams P&IDs PHA / HAZOP reports mass & energy balance models and OSHA PSM documentation., • Design multi-step tasks grounded in real workflows. Require navigation of multiple apps files and stakeholders to challenge frontier AI agents., • Collaborate with other chemical-engineering experts to design the environment and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for chemical-process agent benchmarks. Must-Have • BS / MS / PhD in Chemical Engineering or related discipline., • 3 years of experience at a Fortune 500 chemical petrochemical or specialty-materials company., • Background in process design simulation or scale-up., • Experience in plant operations operations engineering or turnaround planning., • Knowledge of process safety (PHA / HAZOP PSM under 29 CFR 1910.119)., • R&D or product development experience., • Expertise in EH&S emissions compliance or sustainability engineering., • Day-to-day use of CHEMKIN / Aspen Plus ANSYS Fluent / STAR-CCM and Siemens Opcenter or Rockwell FactoryTalk., • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: Employment Type : Full Time Experience: years Vacancy: 1

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Chemistry Expert Type: Contract Compensation: $75$83/hour Location: Remote Commitment: 20 hours/week Role Responsibilities • Author technical tasks to evaluate AI model performance on chemistry problems., • Review and annotate tasks involving reaction schemes spectra (NMR IR MS) and phase diagrams., • Produce original problem sets and write reference solutions., • Apply structured quality checks to ensure task accuracy and relevance. Must-Have • PhD in Chemistry or Chemical Engineering or MS in Chemistry with 3 years research or industry experience or BS in Chemistry with 5 years lab synthesis or QC experience., • Working fluency in at least two of: organic inorganic physical analytical biochemistry., • Comfortable reading and interpreting reaction schemes spectra (NMR IR MS) and phase diagrams., • Hourly contractor, • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: #hiringmercor Employment Type : Full Time Experience: years Vacancy: 1

Requirements: PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field. Collaborate with researchers to refine benchmarks across undergraduate to PhD-level chemistry topics. Strong chemistry reasoning and problem-solving skills across advanced domains.

A leading AI research accelerator is looking for remote PhD candidates in Chemistry, Chemical Engineering, or related fields.You will design advanced chemistry problems to evaluate AI performance and collaborate with researchers on benchmarks.This role offers flexible hours and a pay rate of over $5

Senior Chemist, Digital, Formulation & Open Development - Hair Care, Research & Innovation. A Bachelor's degree in Chemistry, Chemical Engineering, Data Science, or a related scientific field is required (Master's or PhD preferred).

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty level: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide one correct answer and nine plausible but subtly incorrect alternatives to challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Manufacturing - Chemical Engineering Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include process flow diagrams, P&IDs, PHA / HAZOP reports, mass & energy balance models, and OSHA PSM documentation., • Design multi-step tasks grounded in real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents., • Collaborate with other chemical-engineering experts to design the environment and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for chemical-process agent benchmarks. Must-Have • BS / MS / PhD in Chemical Engineering or related discipline., • 3+ years of experience at a Fortune 500 chemical, petrochemical, or specialty-materials company., • Background in process design, simulation, or scale-up., • Experience in plant operations, operations engineering, or turnaround planning., • Knowledge of process safety (PHA / HAZOP, PSM under 29 CFR 1910.119)., • R&D or product development experience., • Expertise in EH&S, emissions compliance, or sustainability engineering., • Day-to-day use of CHEMKIN / Aspen Plus, ANSYS Fluent / STAR-CCM+, and Siemens Opcenter or Rockwell FactoryTalk., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty level: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide one correct answer and nine plausible but subtly incorrect alternatives to challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty level: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide one correct answer and nine plausible but subtly incorrect alternatives to challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis.

Job Description 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 Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Generative AI Research Scientist, you'll work alongside our founders and team members to develop advanced generative models that can synthesize and design biological systems at multiple scales. Building upon our biological reasoning model, you'll focus on creating the generative capabilities that turn insights into innovations. * ⁠You will design and develop cutting-edge generative models specifically for biological data, creating AI systems that can generate novel molecular structures, protein designs, cellular components, and biological pathways. * You will design and implement state-of-the-art generative algorithms including diffusion models, language diffusion models, diffusion transformers, and flow matching approaches and tailor them to biological constraints and properties * You will train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters. * You will solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods. * Your work will span various advanced generative AI architectures, including transformers, diffusion models, and autoencoders, exploring and implementing these techniques to push the boundaries of biological AI. Who We're Looking For: * You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. * You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. * You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). * You have extensive hands-on experience building and training generative models, such as diffusion models, GANs, VAEs, normalizing flows, or autoregressive models. * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges. * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking 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 are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity. Bonus points: * You have experience applying machine learning to biological or chemical problems. * You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics or related fields. * You have experience with multi-modal learning. * You have contributed to open-source machine learning projects. * You have experience in developing efficient code in C/C++. 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 Compensation Range: $120K - $250K

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityWe are seeking a talented and forward-thinking alloys Materials Scientist with expertise in materials research and development to join our innovative team at the forefront of interdisciplinary research. In this role, you will leverage cutting edge experimental techniques to accelerate materials discovery, design, and optimization, contributing to groundbreaking advancements in materials science.Mission • Design and execute experiments to synthesize and characterize materials, leveraging AI algorithms to guide experimental design and interpretation., • Analyze and interpret large datasets generated from experiments, simulations, and external sources to extract valuable insights into materials properties and behavior., • Work closely with AI scientists and engineers to translate materials properties, identify structure-property relationships, and optimize materials performance for specific applications., • Stay current with advancements in materials science theory and experimentation and apply new methodologies and techniques to advance research objectives., • Communicate research findings effectively through technical reports, presentations, and scientific publications, contributing to the dissemination of knowledge and the development of intellectual property.About you, • PhD or Masters degree in Materials Science, Chemistry, Chemical Engineering, Polymers, or a related field, • Strong background in materials science principles, including materials synthesis and characterization., • Deep knowledge of materials characterization and testing, as well as familiarity with laboratory safety protocols., • In-depth industry knowledge of metal synthesis, including potentials, limitations, and key process and equipment suppliers., • Specialized metallurgical knowledge and experience in metallographic and fractographic interpretation, corrosion, oxidation and materials characterization techniques is desired., • Excellent analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns, and draw meaningful conclusions., • Strong written and verbal communication skills, with the ability to convey technical concepts and research findings to diverse audiences.Pluses, • Experience with AI-driven materials research, including machine learning models for materials property prediction, materials informatics, and data-driven materials discovery., • Familiarity with one or more software languages (Python, C++, MATLAB, etc.), • Prior experience in transitioning AI + computational research into production environments.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . Description: The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross-functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full-time, on-site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities: • Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols., • Create and execute product/process enhancement, and new product/process development plans., • Lead material/design/process changes and their implementation with well-documented research/analyses. Process and analyze results,, • Author protocols and reports including engineering studies and design verification/validation activities., • Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes., • Prepare samples as required for manufacturing, testing, or other evaluations and data analysis., • Participate in voice-of-customer (VOC) labs and other user needs assessments., • Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes., • Support process and product transfers to manufacturing or CDMOs., • Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines., • Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions., • Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization. Required Qualifications • Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline., • Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees)., • Proficiency as an adept experimentalist with hands-on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment., • Mathematically inclined with strong analytical and problem-solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross-functionally to expedite the completion of critical project tasks., • Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills., • Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time., • Ability to lead directly and by influence, including strong problem-solving, conflict resolution, and analytical skills., • Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements., • Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required., • Requires excellent written and verbal communication and presentation skills., • Legal authorization to work in the United States is required., • Physical Requirements include:, • Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training., • Wear Appropriate Personal Protective Equipment (PPE):, • Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment., • Ability to speak, listen, and understand verbal and written communication., • Possesses hand-eye coordination and manual dexterity for delicate manipulations., • Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects., • Visual acuity is required for performing close and distant activities. Preferred Qualifications • An advanced technical degree (MS or PhD)., • ·Lab experience in an industry setting within cGMP-regulated environments., • Prior experience developing processes and scaling these up into manufacturing or CDMO, • Mechanical/electrical knowledge with the ability to troubleshoot processing equipment, • Six Sigma green belt or black belt certification preferred., • Experience implementing process and quality improvements in a manufacturing environment, • Work experience with the medical device or pharmaceutical industries, • Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200., • Working knowledge of FDA requirements as per 21 CFR 820. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications, • Paid Vacation, Sick, & Holidays, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%, • Work/Life Employee Assistance Program, • Company Paid Life and Short-Term Disability Coverage, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in chemical engineering, process design, plant workflows, process safety, scale-up, EH&S documentation, and structured process-industry review. This role supports current and upcoming remote consulting opportunities focused on structured chemical engineering review, process documentation, plant workflow analysis, process safety assessment, simulation review, environmental and safety documentation, and high-quality project execution. Selected professionals will apply their chemical engineering expertise to review realistic process-industry scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based engineering workflow tasks. Key Responsibilities Professionals in this role may contribute to: Process Design, Simulation & Scale-Up Review • Review chemical engineering scenarios involving process flow diagrams, P&IDs, mass and energy balance models, process simulations, and scale-up documentation, • Evaluate process design materials against source data, technical requirements, engineering assumptions, and expected workflow outcomes, • Support structured review of Aspen Plus, CHEMKIN, ANSYS Fluent, STAR-CCM+, or similar simulation-related materials, • Review plant engineering scenarios involving production workflows, turnaround plans, process changes, operating procedures, and technical documentation, • Evaluate PHA, HAZOP, OSHA PSM, safety review materials, and process risk documentation against defined requirements, • Support structured review of plant operations, process safety workflows, hazard analysis materials, and engineering control documentation, • Review EH&S scenarios involving emissions compliance, sustainability engineering, environmental documentation, product development, and process-industry reporting, • Evaluate technical documents connected to chemical, petrochemical, specialty materials, R&D, product development, and process engineering workflows, • Support structured review of materials connected to Siemens Opcenter, Rockwell FactoryTalk, Aspen Plus, CHEMKIN, ANSYS Fluent, STAR-CCM+, or similar systems Strong candidates may have: • 3+ years of experience in chemical engineering, process engineering, plant engineering, process design, process simulation, scale-up, process safety, EH&S, sustainability engineering, R&D, product development, or related process-industry roles, • Experience in chemical, petrochemical, specialty materials, energy, industrial manufacturing, EPC, or process-heavy engineering environments, • Background in one or more areas such as process design, process simulation, plant workflows, operations engineering, turnaround planning, PHA, HAZOP, OSHA PSM, product development, emissions compliance, or sustainability engineering, • Familiarity with tools such as Aspen Plus, CHEMKIN, ANSYS Fluent, STAR-CCM+, Siemens Opcenter, Rockwell FactoryTalk, or similar process engineering systems, • Comfort reading and preparing engineering artifacts such as process flow diagrams, P&IDs, PHA/HAZOP reports, mass and energy balance models, turnaround plans, OSHA PSM documentation, technical reports, and workflow summaries, • Strong analytical thinking and written communication skills, • Bachelor's, master's, or PhD degree in chemical engineering, process engineering, materials engineering, environmental engineering, industrial engineering, chemistry, or a related technical field is helpful, • Experience at a chemical, petrochemical, specialty materials, energy, industrial manufacturing, or major engineering/EPC organization, • Familiarity with PHA, HAZOP, OSHA PSM, mass and energy balances, process simulation, turnaround planning, emissions compliance, sustainability engineering, or plant documentation, • Experience preparing or reviewing process flow diagrams, P&IDs, simulation outputs, safety documentation, process reports, plant procedures, or technical workspaces, • PE license, process safety training, Six Sigma, Lean, EH&S, sustainability, or chemical engineering certifications are helpful, • Apply chemical engineering and process-industry expertise to structured remote project work, • Contribute to high-quality process documentation review, safety workflow analysis, simulation assessment, and technical scenario development, • Work on flexible, project-based assignments aligned with your chemical engineering background, • Use your engineering judgment in a focused, detail-oriented technical environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $60–$85 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job DescriptionChemistry & Chemical Engineering - Graduates - AI TrainingAbout 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 Chemistry Experts and Chemical Engineers to join our Expert Network to help train and evaluate cutting-edge AI models using real-world chemical expertise. 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 participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $60 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Chemistry, Chemical Engineering, Biochemistry, or a related Physical Science field., • Professional Experience: experience in laboratory research, industrial chemical processing, pharmaceutical R&D, or academic instruction., • Technical Mastery: deep knowledge of organic, inorganic, analytical, or physical chemistry principles and reaction mechanisms., • Safety & Compliance: a thorough understanding of chemical safety protocols (SDS), GHS standards, and regulatory requirements (EPA, REACH, FDA)., • Analytical Precision: the ability to identify errors in complex IUPAC nomenclature, stoichiometry, molecular geometry, and thermodynamic calculations., • Communication: ability to explain intricate reaction pathways or molecular interactions in clear, technically accurate language., • A PayPal account to receive payment from our clientsWhat you'll be doing in the role, • Evaluate AI-Generated Chemistry: review model responses to advanced chemistry queries for factual accuracy, structural integrity, and logical reasoning., • Fact-Check Reactions & Formulas: validate AI-generated chemical reactions, balancing equations, and ensuring proposed synthetic routes are viable and safe., • Audit Technical Documentation: review model-generated lab protocols, safety summaries, and spectral interpretations (NMR, IR, Mass Spec) for accuracy., • Annotate Molecular Data: identify and correct errors in SMILES strings, 2D/3D molecular representations, and property predictions. 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. 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 personal information.

Job Description 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 Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Machine Learning Research Scientist, Interpretability, you'll work alongside our founders and team members to develop AI systems capable of processing and reasoning across multiple biological data modalities simultaneously. * You will develop specialized methods for understanding our biological reasoning models, reverse-engineering how they represent and process complex biological information. * You will design and conduct experiments to uncover interpretable features across biological scales. * You will address unique challenges in biological model interpretation, such as disentangling the multi-scale, hierarchical representations of biological systems * You will build biology-specific visualization tools that can map model activations to meaningful biological concepts. Who We're Looking For: * You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. * You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields. * You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). * You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: * You have excellent problem-solving skills and the ability to quickly adapt to new challenges. * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking 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 are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity. Bonus points: * You have experience applying machine learning to biological or chemical problems. * You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics, or related fields. * You have experience with multi-modal learning. * You have contributed to open-source machine learning projects/ * You have experience in developing efficient code in C/C++. 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 Compensation Range: $120K - $250K

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in materials science, materials R&D, characterization workflows, process development, reliability analysis, computational materials work, and structured scientific documentation. This role supports current and upcoming remote consulting opportunities focused on structured materials science review, R&D workflow analysis, experimental documentation, characterization report assessment, simulation review, technology transfer materials, and high-quality project execution. Selected professionals will apply their materials science expertise to review realistic research scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based materials R&D workflow tasks. Key Responsibilities Professionals in this role may contribute to: Materials R&D & Experimental Workflow Review • Review materials science scenarios involving experimental write-ups, project proposals, research plans, process development notes, and technology transfer materials, • Evaluate R&D documentation against source materials, technical requirements, experimental constraints, and expected scientific outcomes, • Support structured review of research records, lab documentation, project memos, IP disclosures, and materials development workflows, • Review characterization scenarios involving XRD, SEM/TEM, spectroscopy, thermal analysis, reliability testing, failure analysis, and advanced materials evaluation, • Evaluate characterization reports and test outputs against documented criteria, source data, material properties, and technical requirements, • Support structured review of metals, polymers, ceramics, composites, semiconductor materials, or related materials systems, • Review computational or simulation-based workflows involving DFT, molecular dynamics, process simulations, simulation results, and model documentation, • Support structured review of materials workflows connected to tools such as VASP, Materials Studio, LabVantage, LabWare LIMS, ANSYS Fluent, STAR-CCM+, or similar systems, • Translate materials science workflows into clear, structured task documentation and review criteria Strong candidates may have: • 3+ years of experience in materials science, materials R&D, characterization, process development, computational materials science, reliability engineering, failure analysis, or related scientific roles, • Background in one or more areas such as metals, polymers, ceramics, composites, semiconductor materials, characterization, DFT, molecular dynamics, process scale-up, or advanced materials reliability, • Familiarity with tools and systems such as VASP, Materials Studio, LabVantage, LabWare LIMS, ANSYS Fluent, STAR-CCM+, microscopy platforms, spectroscopy tools, or similar research systems, • Comfort reading and preparing materials science artifacts such as experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and research summaries, • Strong analytical thinking and written communication skills, • Master's or PhD degree in materials science, chemistry, physics, chemical engineering, mechanical engineering, electrical engineering, or a related scientific field is helpful, • Experience in Fortune 500 R&D, national labs, R1 university research groups, semiconductor materials, advanced manufacturing, chemical materials, or industrial materials development, • Familiarity with XRD, SEM/TEM, spectroscopy, thermal analysis, DFT, molecular dynamics, LIMS, process simulation, scale-up, or failure analysis workflows, • Experience preparing or reviewing characterization reports, experimental records, simulation outputs, technology transfer memos, IP disclosures, project proposals, or reliability reports, • Strong attention to detail in scientific, experimental, and documentation-heavy research environments, • Apply materials science and R&D expertise to structured remote project work, • Contribute to high-quality materials workflow review, characterization documentation, simulation assessment, and research scenario development, • Work on flexible, project-based assignments aligned with your scientific background, • Use your materials science judgment in a focused, detail-oriented research environment, • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $60–$85 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Manufacturing - Chemical Engineering Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include process flow diagrams, P&IDs, PHA / HAZOP reports, mass & energy balance models, and OSHA PSM documentation., • Design multi-step tasks grounded in real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents., • Collaborate with other chemical-engineering experts to design the environment and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for chemical-process agent benchmarks. Must-Have • BS / MS / PhD in Chemical Engineering or related discipline., • 3+ years of experience at a Fortune 500 chemical, petrochemical, or specialty-materials company., • Background in process design, simulation, or scale-up., • Experience in plant operations, operations engineering, or turnaround planning., • Knowledge of process safety (PHA / HAZOP, PSM under 29 CFR 1910.119)., • R&D or product development experience., • Expertise in EH&S, emissions compliance, or sustainability engineering., • Day-to-day use of CHEMKIN / Aspen Plus, ANSYS Fluent / STAR-CCM+, and Siemens Opcenter or Rockwell FactoryTalk., • Upload resume, • AI interview based on your resume

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty level: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide one correct answer and nine plausible but subtly incorrect alternatives to challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Chemistry Content Author Type: Contract Compensation: $35–$75/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities • Author original chemistry questions that test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined., • Rate each question's difficulty level: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)., • Provide one correct answer and nine plausible but subtly incorrect alternatives to challenge expert-level solvers., • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format., • Supply 1–5 academic references per question from reputable sources such as peer-reviewed journals or university repositories. Must-Have • PhD or doctoral candidate in Chemistry, Biochemistry, Chemical Engineering, or a closely related field., • Master's degree considered for candidates with exceptional depth in a specific subdomain., • Strong command of graduate-level chemistry concepts, reaction mechanisms, and quantitative analysis.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Requirements: PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field. Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. No AI experience required Role Overview: Help fine-tune large language models (like ChatGPT) using your chemis

Requirements PhD (pursuing or completed) in Chemistry, Chemical Engineering, Biochemistry, or related field. Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. No AI experience required Role Overview Help fine-tune large language models (like ChatGPT) using your chemis

This remote position requires a BS/MS/PhD in Chemical Engineering and 3+ years of experience in a Fortune 500 company. Responsibilities include building digital workspaces and collaborating on task designs for AI benchmarks.

Qualifications Must-Have PhD in Chemistry or closely related field ( Chemical Engineering , Materials Science ). Preferred Strong organic or synthetic chemistry background. Position: [Role Title] Type: [Contract Type] Compensation: $105/hour Location: Remote Role Responsibilities Evaluate the accura

Qualifications Must-Have PhD in Chemistry or Chemical Engineering, or MS in Chemistry with 3+ years research or industry experience, or BS in Chemistry with 5+ years lab, synthesis, or QC experience. Position: Chemistry Expert Type: Contract Compensation: $75–$83/hour Location: Remote Commitment: