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<h3>Job Description</h3>
Job DescriptionAbout Rezo TherapeuticsRezo is a different kind of biopharma company.&nbsp; Our mission is to dramatically increase the success rate of drug development by building a disease-agnostic, fully-integrated, network biology platform that will redefine our understanding of human disease and ability to treat it. &nbsp; Our Founders and members of the Board are a group of esteemed, world-class scientists from the University of California, San Francisco: Nevan Krogan, Kevan Shokat, Sourav Bandyopadhyay, Natalia Jura, as well as renowned biotech executives George Scangos and Norbert Bischofberger. These leaders bring with them a strong track record of amazing discoveries and scientific breakthroughs, leading to very successful companies and many FDA approved drugs.&nbsp; Capitalizing on our Series A of $78M from top-tier investors, we are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches. Located in San Francisco’s vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities.&nbsp;We recognize that realizing our mission depends as much on our people as it does on our science and are building a workplace that fosters collaboration, respect, and diversity where contributing to your team’s success is valued as highly as individual achievements. &nbsp;If you’re passionate about team science and breaking down barriers to progress in drug development, please consider joining us!&nbsp; If you do not see a job listing that matches your specific background, please apply to this posting as we will be looking for exceptional individuals in the following areas: Proteomics
<ul>
<li>Develop industry scale assays using in-house mass spectrometers</li>
<li>Execute platform projects centered on PPI mapping, proximity labeling, post-translational modification and abundance proteomics</li>
<li>Support drug discovery campaigns and develop target-based screens</li>
</ul>
Genetics
<ul>
<li>Develop multimodal single and combinatorial genetic screens using CRISPR technologies</li>
<li>Collaborate with target discovery teams to provide genetic support for targets and drug MOA</li>
</ul>
Chemical Biology and Protein Sciences
<ul>
<li>Develop HTS small molecule screening campaigns and create robust target assays for drug development</li>
<li>Drive enzymology, biophysics and protein binding analysis efforts</li>
<li>Help build out the structural biology platform (including crystallography &amp; Cryo-EM)</li>
<li>Develop chemical biology tools to map ligandable pockets and aid in drug development</li>
</ul>
Cancer Biology
<ul>
<li>Implement cutting edge molecular and cellular techniques to determine target functions in cell-based solid tumor models</li>
<li>Develop data packages to prioritize targets and nominate candidates to the drug discovery stage&nbsp;</li>
<li>Individuals with expertise in oncogene/tumor suppressor pathways and/or drug resistance are especially encouraged to apply</li>
</ul>
Computational Biology, Data Science
<ul>
<li>Develop novel algorithms and apply deep learning-based approaches to network and proteomics datasets&nbsp;</li>
<li>Implement cloud infrastructure, pipelines, and UI/UX for data analytics</li>
<li>Conduct bioinformatic and statistical analyses of large, multimodal datasets</li>
</ul>
Compensation at RezoActual starting salary will be determined based on multiple job-related factors including a candidate’s skills, education, and experience, the level at which they are hired, market demand, business needs, and internal parity.&nbsp; All full-time roles are eligible for participation in our Annual Discretionary Bonus Plan (based on individual and company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.&nbsp; All full-time positions are also eligible for the benefits detailed below. Benefits at RezoMedical (HMO or PPO), dental, and vision insuranceDiscretionary time off policyCompany holidays (including summer and winter shutdown)401(k) retirement savings programCommuter / Mass Transit Benefit ProgramHealthcare Flexible Spending Account (FSA)Dependent care Flexible Spending Account (FSA)Parental leaveCompetitive compensationFlexible work schedule EEOCAt Rezo we value a diverse, equitable, inclusive workplace and provide equal employment opportunity to all persons without regard to race, color, sex, gender identity, gender expression, religion, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.&nbsp; This statement covers all facets of employment and is especially important when it comes to growing our team.&nbsp; If you are wondering if you’ll belong at Rezo, or are worried that you don’t meet 100% of the qualifications for this role, take a chance on us and yourself — please apply! SF Fair Chance OrdinancePursuant to the San Francisco Fair Chance Ordinance, Rezo considers qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Open Application for Scientists and Research Associates

<h3>Job Description</h3>
Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries.&nbsp;Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for&nbsp;high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI&nbsp;pioneers. The Role As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.Key Responsibilities
<ul>
<li>Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration.</li>
<li>Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility.</li>
<li>Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases.</li>
<li>Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines.</li>
<li>Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes.</li>
<li>Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS).</li>
<li>Contribute to design/code reviews and foster engineering best practices in a high-performance research environment.</li>
<li>Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems.</li>
<li>Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.</li>
</ul>
Academic Qualifications
<ul>
<li>Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.</li>
<li>PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.</li>
</ul>
Minimum Professional Experience
<ul>
<li>Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction.</li>
<li>Strong Python development skills with a focus on research-grade code and scalable data pipelines.</li>
<li>Familiarity with collecting and processing large-scale datasets from open-source and web resources.</li>
<li>Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).</li>
<li>Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.</li>
<li>Effective communication and collaboration skills for working in cross-functional teams.</li>
</ul>
Preferred Professional Experience
<ul>
<li>Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines.</li>
<li>Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing).</li>
<li>Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP).</li>
<li>Familiarity with performance constraints in production environments and the trade-offs in model and data design.</li>
<li>Prior contributions to open-source ML research or data tools.</li>
</ul>
Visa SponsorshipThis position is eligible for visa sponsorship. Benefits Include*Comprehensive medical, dental, and vision benefits&nbsp;&nbsp;*Bonus*401K Plan*Generous paid time off, sick leave and holidays*Paid Parental Leave*Employee Assistance Program*Life insurance and disability

Research Scientist

<h3>Job Description</h3>
Job DescriptionOur MissionOur mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. We aim to advance athletic intelligence to new heights by leveraging simulation-based methods like Reinforcement Learning, augmenting them with model information. Reinforcement Learning Research Scientists will have proven hands-on research or industry experience focusing on one or more of these key areas: Learning-based locomotion, loco-manipulation, or ultra-mobile systems. Having practical hardware experience is essential for this role. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you! This is a senior role. We are looking for experienced industry candidates. Ideally, looking for candidates who have experience working with Humanoids, Legged Robots, Quadrupedal, Locomotion and RL technology.Requirements
<ul>
<li>MS / PhD or equivalent industry experience in robotics, computer science, or related fields</li>
<li>Minimum of 2 years exp. 6+ years of experience in research and development</li>
<li>Ability to demonstrate technical proficiency in Reinforcement Learning, Control, Robotics, or Imitation Learning</li>
<li>Experience with sim-to-real for robotic hardware specifically legged robots or highly dynamic mobile vehicles.</li>
<li>Experience in working with perception-based control</li>
<li>Advanced programming skills in Python or C++</li>
<li>Expertise with deep learning frameworks such as PyTorch and robotic simulation</li>
<li>Proven track record in top-tier conferences and journals in Machine Learning, Robotics, Control, or related fields</li>
</ul>
Bonus
<ul>
<li>Knowledge of Model Predictive Control</li>
<li>Experience in combining model-based and data-driven approaches</li>
<li>Experience in working with Isaac-Gym, Isaac-Sim, or Orbit</li>
<li>Experience in working with ROS or ROS2</li>
<li>Experience with Docker, cloud computing, or similar applications</li>
<li>Experience with parallel programming (e.g., CUDA)</li>
</ul>
&nbsp;These attributes are great to have but not required. Candidates who lack these should not be discouraged from applying. We provide equal employment opportunities to all employees and applicants for employment and prohibit 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.

Research Scientist - Reinforcement Learning

<h3>Job Description</h3>
Job DescriptionSundance Consultants, a part of True Environmental and its partner firms, have united their strengths to establish the nation's premier environmental and engineering services consulting firm. This powerhouse organization offers an extensive range of services aimed at revolutionizing the built environment and preserving the natural one. Its diverse expertise encompasses environmental remediation, urban planning, engineering iconic coastal and marine structures, developing sustainable energy sources, and pioneering resource extraction methods. Explore further at Sundance-inc.com and True-Environmental.com to discover the full scope of our capabilities.&nbsp; This is an on-call Temporary field technician position who will be directly responsible for fulfilling all duties and responsibilities associated with archaeological fieldwork throughout thePacific North West. The pay for this role is $20-25/hr, based on experience.What you'll do
<ul>
<li>Conducting archaeological pedestrian surveys</li>
<li>Archaeological data collection (GPS, photographs, site forms, site sketch, artifact sketch)</li>
<li>Subsurface testing or artifact identification</li>
<li>Measuring and fully recording artifacts </li>
<li>Preparing high-quality field notes</li>
<li>Working as a team member, or independently, as the job may require</li>
<li>Other duties as requested</li>
</ul>
Minimum Requirements
<ul>
<li>Bachelor’s Degree in Archaeology, Anthropology or related field </li>
<li>At least 6 months of archaeological field experience or field school experience</li>
<li>Experience performing archaeological survey and excavation</li>
<li>Ability to work in diverse, often difficult terrain, that will involve hiking long distances to and from project areas (up to 5 to 10 miles per day)</li>
<li>Excellent verbal and written communication skills</li>
<li>Ability to work well with others and be a proactive part of a project team</li>
<li>Excellent attention to detail and detailed note taking skills</li>
<li>A valid driver's license </li>
<li>Ability to operate GPS units and navigate using USGS maps/aerial photography, and compass preferred.</li>
<li>Ability to work outdoors in all weather conditions</li>
<li>Must understand and comply with company safety standards </li>
<li>Access to a laptop or computer to complete timesheets, expense reports, and office tasks</li>
<li>As a federal contractor that is subject to Executive Order 14042, Sundance requires all employees to be fully vaccinated against COVID-19 as a condition of employment, subject to accommodations for bona fide medical and religious exemptions.</li>
<li>Ability to lift and move materials and equipment up to 50 -pounds on occasion.</li>
<li>Ability to pass pre-employment drug screen</li>
</ul>
Work Environment
<ul>
<li>This is a temporary, part-time, non-exempt, hourly wage position. Approximately 45 to 50 hours per week.</li>
<li>Overnight and day travel as needed to support field work.</li>
<li>Ability to work outdoors in variable weather conditions, including inclement weather.</li>
<li>Per Diem is often on a GSA rate and is based on the location of the fieldwork. Per Diem is generally never less than $50 per day. </li>
<li>Hotel or lodging is covered by Sundance and is not part of per diem</li>
<li>Some projects may require long-term remote camping to be executed.&nbsp; </li>
<li>Opportunities for post-field office work are often available; however these are at the Project Field Director and Principal Investigator’s discretion. Interest in a temporary post-field office position should be communicated to the field director or crew chief.&nbsp;</li>
</ul>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Archaeology Field Technician- Oregon

<h3>Job Description</h3>
Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries.&nbsp;Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for&nbsp;high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI&nbsp;pioneers. Role OverviewBuild and scale distributed pre-training frameworks·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).Turn mathematical ideas into fast production code·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Convert them into efficient CUDA/Triton kernels with custom gradients and tests.Boost training efficiency and stability·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.Accelerate research velocity·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Build logging, metrics, and other experiment-tracking tools for rapid iteration.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Design ablation studies and statistical tests that validate—or refute—new ideas.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Mentor interns and junior engineers through clear async design docs and code reviews.You’ll work side-by-side with researchers, ship production code, and shape the future of large language models.Why You’ll Love This Job·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.Key Responsibilities·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.QualificationsMust-Haves·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 + years combined industry or hands-on research experience with large-scale deep-learning training.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Led at least one large-scale transformer pre-training run·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with distributed training at scale (100+ GPUs).·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong software engineering skills on large ML codebases·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Clear written communication (design docs, RFCs, post-mortems).Nice-to-Haves·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Background in numerical computing.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to translate math and·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; build high-perf CUDA/Triton kernels.Total compensation target:$300 K – $600 K (base salary + target bonus up to 30 %), commensurate with experience.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits Include*Comprehensive medical, dental, and vision benefits&nbsp;&nbsp;*Bonus*401K Plan*Generous paid time off, sick leave and holidays*Paid Parental Leave*Employee Assistance Program*Life insurance and disability

Research Scientist - Distributed Machine Learning

<h3>Job Description</h3>
Job DescriptionRadical AI, Inc.&nbsp;is an artificial intelligence company that is accelerating scientific research &amp; development. We are at the forefront of innovation in the field of materials R&amp;D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&amp;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&amp;D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityThe vision for this opportunity is to create an intelligent system that operates in an experimental material science setting. Your core responsibility will be to lead the development of an agentic system for materials development, enhancing reasoning and planning throughout the development process, encompassing data acquisition, model evaluation, pre- and post-training, supervised fine-tuning, reward modeling, and reinforcement learning to drive overall performance of the system. Your expertise will contribute to the broader research community through publications in top-tier AI/ML venues like NeurIPS, ICML, and ICLR, alongside active participation in conferences and workshops. This role offers the unique opportunity to mentor and guide junior members of our technical team and research interns, fostering a culture of growth and innovation. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission
<ul>
<li>Drive the development of a system that can pursue complex, multi-objective goals in materials design with limited direct supervision, leveraging agents and multi-agents that can interact with third-party and in-house integrations, including APIs, code interpreters, and hardware components.</li>
<li>Leverage various LLM architectures and models to balance reasoning and continuous adaptation towards intelligent decision-making.</li>
<li>Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of models in various stages.</li>
<li>Work in collaboration with various teams, in particular the experimental materials science team.</li>
<li>Develop and apply reliable evaluation methods to analyze model performance at different stages, uncover the mechanisms and origins of their capabilities, and leverage these insights to enhance model development.</li>
<li>Contribute to the AI and materials science research community through publications and active engagement in top-tier AI/ML venues like NeurIPS, ICML, ICLR, and our company blog, alongside active participation in conferences and workshops.&nbsp;</li>
<li>The ability to tackle challenging problems with new and different ideas, creativity and contrarian thinking.</li>
<li>Mentor and guide junior team members and interns, promoting an environment of continuous learning and innovation.</li>
</ul>
About you
<ul>
<li>Ph.D., M.S., or B.S. in Computer Science, AI, Machine Learning, Applied Maths, or a closely related field, with a strong focus on LLMs.</li>
<li>At least 3 years of research experience in AI, with a proven track record of designing agentic systems.</li>
<li>Familiarity with large-scale model training.</li>
<li>Proficiency in Python and relevant ML libraries (e.g., PyTorch).</li>
<li>Strong publication record in top-tier AI/ML conferences or journals.</li>
<li>Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.</li>
</ul>
Pluses
<ul>
<li>Passionate about leveraging ML for science related problems and&nbsp;a commitment to doing world-class research.</li>
<li>Domain knowledge of materials and/or molecules.</li>
<li>Familiarity with large-scale model training.</li>
<li>Experience with LLM engineering.</li>
<li>Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.</li>
</ul>
What we offer
<ul>
<li>A competitive compensation package also includes the best in benefits:</li>
<li>Medical, dental, and vision insurance for you and your family</li>
<li>Mental health and wellness support</li>
<li>Unlimited PTO and 14+ company holidays per year</li>
<li>401K&nbsp;</li>
<li>Work closely with a team on the cutting edge of AI research.</li>
<li>A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.</li>
</ul>
+ Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.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.

AI Research Scientist - Agentic Systems

<h3>Job Description</h3>
Job Description
Imagine Learning creates engaging educational software to teach language, literacy, and mathematics to grades K–12. The Educational Research Analyst will work closely with the research manager as a member of the research and assessment team in performing a wide range of tasks including designing and conducting educational research, analyzing data, writing research reports, creating materials for marketing, and analyzing internal data to create customized reports for school districts.
This position is based in our Provo, Utah, office.
Qualifications
Education/Certification
<ul>
<li>Master’s degree in statistics, instructional psychology and technology, psychology, educational research and evaluation, or a related field.</li>
</ul>
Experience 
<ul>
<li>Experience designing and conducting research and working with large data sets. </li>
</ul>
Skills/Abilities 
<ul>
<li>Excellent verbal and writing skills.</li>
<li>Proficient in data analysis techniques such as multiple regression. </li>
<li>Proficient in using data analysis software/programs such as R or STATA.</li>
<li>Strong quantitative analysis skills.</li>
<li>Proficient at cleaning data.</li>
<li>Familiarity with educational research methods.</li>
<li>Understanding of educational assessments. </li>
<li>Advanced skills in Excel preferred.</li>
<li>SQL experience a plus.</li>
</ul>
Essential Functions and Basic Duties
<ol>
<li>Coordinates with schools and area sales managers to organize and execute studies.</li>
<li>Coordinates and collaborates with internal groups in analyzing data to answer research questions.</li>
<li>Monitors implementation fidelity during studies.</li>
<li>Cleans data and documents data cleaning processes.</li>
<li>Analyzes internal (Imagine Learning) and external data (data provided by school districts).</li>
<li>Write internal and customer facing reports for studies conducted.</li>
<li>As needed, write materials for marketing such as summaries of research conducted.</li>
<li>When appropriate, submits reports of studies for publication in peer reviewed journals.</li>
<li>When appropriate, submits reports of studies for review by What Works Clearinghouse and other such entities.</li>
<li>Other duties as assigned.</li>
<li>Regular and consistent attendance.</li>
</ol>
For Candidates in the European Union: As part of any recruitment process, Imagine Learning collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. For a copy of our Job Applicant Privacy Notice, please contact <a href="mailto:info@imaginelearning.com" target="_blank">info@imaginelearning.com</a>.

Educational Research Analyst

<h3>Job Description</h3>
Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&amp;D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Key Responsibilities
<ul>
<li>PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.</li>
<li>Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.</li>
<li>Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.</li>
<li>A strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models ground up.</li>
<li>A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.</li>
<li>Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).</li>
<li>Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.</li>
</ul>
Nice to Have
<ul>
<li>3+ years of post-PhD experience in an industry or postdoc role</li>
<li>Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).</li>
<li>Hands-on prior experience working at the intersection of AI and Biology.</li>
<li>Experience in large-scale distributed training and inference, ML on accelerators.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with cell-level data, particularly single-cell RNA-sequencing data.&nbsp;</li>
<li>Experience with tissue-level data, particularly spatial transcriptomics, spatial proteomics, or microscopy (e.g. H&amp;E, IF, IHC).&nbsp;</li>
<li>Experience with methods development for afore-mentioned data types.</li>
<li>Experience with multimodal or multiscale models (even in other domains, e.g. remote sensing, medical imaging).&nbsp;</li>
<li>Deep knowledge of one or more of the following: variational autoencoders (especially biological variants like scVI), vision transformers, graph neural networks, neural fields, diffusion models, and self-supervised learning.&nbsp;</li>
</ul>
Join us as we embark on this journey to redefine the future of biology and medicine.We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Research Scientist (AI) - Cell & Tissue Modeling

<h3>Job Description</h3>
Job DescriptionThe Principal Scientist will lead process development activities to scale up and define the processing space of oral solid pharmaceutical products as they advance through stage 1 of process validation. Success in this role also includes a smooth transfer of technical knowledge to the commercial operations team, participation in stage 2 process validation, and provision of ongoing support throughout the product lifecycle. The Principal Scientist will interface with different departments within the company to ensure project success and will serve as the technical point of contact for the project sponsors.&nbsp;The Principal Scientist is expected to provide hands-on experimental support, to efficiently solve problems, and to mentor and train team members. This role requires the individual to blend strong fundamental knowledge with practical, risk-based decision making to identify solutions that meet quality and schedule expectations for the project sponsors.Duties and Responsibilities
<ul>
<li>Achieves results with a high level of independence and uses judgement to solicit guidance</li>
<li>Leads technical aspects of projects, and may act as a subject matter expert to provide support and guidance for other projects</li>
<li>Develops broader technical strategy and specific experimental work plans</li>
<li>Performs and/or supervises experimental execution as appropriate to ensure quality of the results</li>
<li>Analyzes data, draws conclusions, and proposes next steps to meet project milestones</li>
<li>Authors and reviews technical reports and presentations</li>
<li>Interfaces with clients through verbal and written communications</li>
<li>Effectively communicates with internal stakeholders to manage project timelines and strategy</li>
<li>Adapts approach to evolving project requirements</li>
<li>Mentors, and may manage employees</li>
<li>Coordinates the work of other team members</li>
<li>Provides technical guidance and mentorship</li>
<li>May have direct reports and provide constructive and timely performance evaluations</li>
</ul>
<ul>
<li>Responsibilities may increase in scope to align with company initiatives &nbsp;</li>
</ul>
<ul>
<li>Performs related duties as assigned</li>
</ul>
Required Skills and Abilities
<ul>
<li>Demonstrated experience with pharmaceutical product and process development, with a focus on oral solid dosage forms</li>
<li>Expertise with common unit operations for blending, milling, granulation, compression, fluid bed coating, and encapsulation</li>
<li>Understanding of formulation concepts and material properties of common excipients</li>
<li>Demonstrated experience in process development activities that support process validation, and familiarity with appropriate regulatory expectations and industry practices </li>
<li>Demonstrated experience with transfer of manufacturing processes into GMP environments and / or process transfer between different manufacturing sites</li>
<li>Demonstrated experience with principles of risk-based decision making and common tools for risk analysis</li>
<li>Ability to apply rigorous scientific and engineering principles to guide practical decisions</li>
<li>Advanced laboratory and data analysis skills</li>
<li>Excellent verbal and written communication skills</li>
<li>Excellent time management skills, with an ability to prioritize and / or delegate tasks appropriately to meet deadlines</li>
<li>Excellent leadership and collaboration skills</li>
<li>Ability to function well in a high-paced and at times stressful environment</li>
</ul>
Required Education and Experience
<ul>
<li>B.S. in Science or Engineering discipline with 10+ years of experience&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </li>
<li>M.S. in Science or Engineering discipline with 8+ years of experience</li>
<li>Ph.D. in Science or Engineering discipline with 3+ years of experience</li>
</ul>
 Combination of degree and experience required, and:
<ul>
<li>3+ years of experience on projects where the key deliverables required GMP execution</li>
</ul>
Physical Requirements
<ul>
<li>Adheres to consistent and predictable in-person attendance</li>
<li>Prolonged periods of sitting or standing at a desk and working on a computer</li>
<li>Must be able to lift up to 25 pounds regularly</li>
<li>Motor skills required for basic laboratory operations (pouring liquids, using utensils to transfer powders, visual assessments)</li>
</ul>
Visit&nbsp;<a href="https://www.seranbio.com/careers&nbsp;to" target="_blank">https://www.seranbio.com/careers&nbsp;to</a> learn more about company culture and the community of Bend, Oregon. Applicants must be authorized to work for an employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Benefits Summary:Serán employees accrue over four weeks of paid time off annually. Employer contributions to a retirement account begin after 90 days and do not require an employee match or vesting period. Various health plans allow employees to find the best coverage for their individual or family needs with minimal employee contributions. Serán covers each employee with basic life and long-term disability, giving access to increase or add coverage. An Employee Assistance Program provides support for all things related to our employees’ wellbeing, along with access to pet insurance. The Corporate Headquarters of Serán BioScience are located at&nbsp;63047 Layton Ave, Bend, OR 97701
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Principal Scientist (Process Definition and Scale-Up)

<h3>Job Description</h3>
Job Description
The role of the Research Assistant is responsible for performing a wide variety of administrative and clinical tasks to support the study site. The Research Assistant supports all study related activities to ensure that the study is completed accurately per study protocol. The Research Assistant is an integral role to assist with the flow of the clinic.&nbsp;
To consistently embody AMR Clinical’s Core Values:
<ul>
<li>United We Achieve</li>
<li>Celebrate Diverse Perspectives</li>
<li>Do the Right Thing</li>
<li>Adapt and Persevere</li>
</ul>
The Research Assistant reports to the Site Manager/Team Lead.
Classification: Non-Exempt
Primary Responsibilities:
<ul>
<li>Effectively prioritize tasks and meet deadlines in a fast-paced environment.</li>
<li>Maintain a strong emphasis on compliance responsibilities, including timely identification and reporting of protocol deviations, serious adverse events (SAEs), and adherence to regulatory and site-specific requirements.</li>
<li>Monitor &amp; Report Adverse Events – Recognize and promptly report AEs, protocol deviations, and safety concerns to the clinical team. Document AEs and Serious Adverse Event reporting in compliance with FDA, IRB, and sponsor requirements, ensuring timely follow-up and resolution.</li>
<li>Ensure Compliance with Study Protocols &amp; Regulatory Guidelines – Adhere to Good Clinical Practice (GCP), FDA regulations, and site SOPs when conducting study-related activities.</li>
<li>Assist in Subject Retention Efforts – Support ongoing engagement, communication, and compliance to enhance subject retention throughout the study.</li>
<li>Perform Inventory Management – Track and manage study supplies, lab kits, and investigational products (if applicable) to ensure readiness for study visits.</li>
<li>Assist in maintaining accurate, timely, and audit-ready documentation of all study-related activities.</li>
<li>Perform Laboratory Responsibilities with Accuracy – Ensure proper labeling, handling, storage and shipment of specimens per protocol and regulatory requirements.</li>
<li>Strong problem-solving skills and ability to adapt to evolving study requirements.</li>
<li>Ability to handle confidential and sensitive information with discretion.</li>
<li>Ability to follow detailed instructions and maintain high levels of accuracy.</li>
<li>Establish and maintain patient rapport during clinical drug trials to include management of subjects
<ol>
<li>Clinical data collection such as vital signs, EKG recording, subject weights, etc.</li>
<li>Medical record retrieval and review when required</li>
<li>Subject interviews</li>
<li>Phlebotomy</li>
<li>Filing and pulling study records</li>
<li>Answering and triage of research office calls</li>
<li>Subject check in and out process</li>
</ol>
</li>
<li>Study preparation, such as screening packets, preparing informed consents, pulling charts for the next business day, etc.</li>
<li>Filing study documents in the subject’s chart.</li>
<li>Develop rapport with study sponsors, monitors, study participants, etc.&nbsp;</li>
<li>Assist monitors during onsite visits</li>
<li>Maintain accurate enrollment/ICF logs</li>
<li>Assist the clinical team to complete study activities. The clinical team includes but is not limited to CRCs, Laboratory, Data management, etc</li>
<li>Educate subjects on diaries as studies require.&nbsp;</li>
<li>Accurate and timely documentation</li>
<li>Unblinded duties as assigned.</li>
<li>Position may require occasional weekend and/or overtime hours.&nbsp;</li>
<li>Other duties as assigned</li>
</ul>
Desired Skills and Qualifications:
<ul>
<li>Medical office experience, medical certificate, or equivalent work experience preferred.&nbsp;</li>
<li>Phlebotomy skills are preferred</li>
<li>Excellent attention to detail</li>
<li>Strong listening, verbal and written communication skills</li>
<li>Excellent task management and organizational skills</li>
<li>Ability to multi-task in an always evolving fast paced environment.&nbsp;</li>
<li>Demonstrate proficient knowledge of operating office equipment and software.&nbsp;</li>
<li>Ability to be ambulatory most of the workday.</li>
<li>Ability to lift/transfer/push/manipulate equipment and patients, which requires strength, gross motor and fine motor coordination.</li>
</ul>
AMR Clinical does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, retaliation, parental status, military service, or other non-merit factor.
** This job description is intended to be a representative summary of the major responsibilities and accountabilities of the staff holding this position. The staff may be requested to perform job-related tasks other than those stated in this description.
 
Compensation details: 20-23 Hourly Wage
 
PI4a869fcaa9a3-25405-38778206

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