Research scientist jobs in Berkeley, CA

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

Applied Scientist Package - > $200 - 250k Cash + Benefits A scaling, SOTA Generative AI Startup operating with a world class team (Founders have multiple prior exits) with talent from Open AI, IBM, MIT and several top orgs, focused on pioneering work and advancements in large language models (LLMs), code generation, and code translation. Their projects directly involve industry leading partners where they're applying advanced AI to solve meaningful, practical challenges with real-world impact. Broad Responsibilities: Design, execute, and analyze experiments with a high degree of independence Contribute to core models and frameworks Create high-quality datasets (both in-the-wild and synthetic) Perform literature reviews and implement new techniques from papers Contribute to publications, present at conferences and workshops, etc. Requirements: Ph.D. in Computer Science or another STEM subject Prior LLM research experience Comfortable programming in Python and familiar with frameworks such as PyTorch and HuggingFace Preferred Qualifications: Publications at peer-reviewed conferences such as NeurIPS, ICLR, ICML, etc. Experience with large-scale LLM training, particularly in a distributed computing environment Get in touch today for more details and immediate consideration / interview!

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

Series A company looking to hire a Sr. Applied RS with a good background in multi-agent reinforcement learning. The related challenge is figuring out how to use feedback from an objective function on (consumer) pricing to reinforce a multi-agent enterprise system (many components). Qualifications: Applied Research with MS or PhD in a technical field and 4 + years relevant industry experience Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production Please note: Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide).

San Francisco Insight are representing an early-stage AI startup who are fundamentally changing how media content is produced. They are building a cutting-edge multimodal AI platform capable of generating complex content across text, image, and audio. Key Responsibilities: Design, implement and evaluate novel deep learning architectures. Collaborate directly with the Eng team to translate research prototypes into prod systems. Drive the optimization of models for maximum scalability during training and inference. What we're looking for: PhD (or equivalent experience) in CompSci, ML, or similar. Proven record of developing and publishing research in Gen AI, particularly within video, image, or sequence modeling. Deep expertise in frameworks such as PyTorch/TensorFlow and extensive experience with large-scale transformer models. Please apply to hear more!

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

⚡ Research Scientists/Engineers (all levels) 🔍 Focus on Vision Data Infrastructure 🤖 Fundamental AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $250,000 - $600,000 salary + annual bonus Come join one of the only research institutions globally with resources to compete with top AI companies =>10s of 1000s of GPUs to explore state-of-the-art research in LLMs, Multimodal and Agentic AI. Currently seeking AI talent with expertise in building scalable pipelines for vision data to support both image/video generative training and multi-modal alignment. You'll design high-performance pipelines for large-scale image and video datasets, enabling efficient pretraining, alignment, and simulation-based data generation. Responsibilities: Vision Data Sourcing & Curation Collect and organize image and video data from open datasets and the web. Handle data cleaning, filtering, deduplication, and metadata generation. Ensure ethical and compliant data collection at scale. Processing & Augmentation Build high-throughput pipelines for vision data preprocessing (frame extraction, resolution normalization, format conversion, latent caching). Implement GPU-accelerated augmentation and distributed data loading (WebDataset, TFRecords, Parquet). Synthetic & Simulation-Based Data Generation Use simulation tools (e.g., Unreal Engine 5, Isaac Sim, Unity) to generate high-quality synthetic vision data. Create specialized datasets for VLM training, visual reasoning, and agent interaction. Requirements: Strong experience with data engineering, computer vision, or machine learning infrastructure. Expertise in building and scaling ETL/data pipelines for large unstructured datasets. Proficiency with Python, PyTorch, and distributed data frameworks (e.g., Ray, Spark, Dask). Experience with WebDataset, TFRecords, Parquet, or similar high-throughput data formats. Familiarity with GPU-accelerated preprocessing, NVIDIA DALI, or equivalent systems. Understanding of image/video codecs, data compression, and cloud storage optimization. Preferred Experience: Prior work with simulation-based or synthetic data generation using Unreal Engine, Isaac Sim, or Unity. Experience curating datasets for multimodal or vision-language model training. Knowledge of data ethics, privacy, and compliance frameworks for large-scale AI datasets. Experience contributing to open datasets or data-centric AI research. Why apply: Opportunity to join a fast-growing core team that are already pushing AI breakthroughs Highly competitive salary package Work alongside ambitious and bright superstars from tech and academia Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

AI/ML Scientist - Build the Future of Physics AI- $250,000 to $275,000 Salary You will be part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation. The platform is built on massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. This foundation unlocks something big, enabling the generation of large scale datasets that power the next generation of ML models across industries. You will be on the front lines of building and productizing new machine learning approaches for physics based problems, from CFD to thermal simulation. Your work will not just live in a paper, it will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what is possible in Physics AI. You know that rush when your work goes from experiment to production, when the models perform, the results hold up, and you can see the impact firsthand? That is what this role is about. Ready to shape the future of Physics AI? Let's talk. No up to date resume required.

Senior Machine Learning Scientist - Traveler Engagement & Loyalty team (San Jose) Introduction to the Team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond. Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia's AI-first vision. In this role, you will: Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data Design and analyze A/B experiments to validate model performance and drive product decisions Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes Stay current with advancements in recommendation research, deep learning architectures, and personalization systems Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment Minimum Qualifications: PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience 8+ years of related industry experience Experience building production-grade recommendation or personalization systems Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference Proficiency in Python and ML frameworks such as TensorFlow or PyTorch Experience with distributed systems like Apache Spark Familiarity with A/B testing and experimentation methodologies Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy Excellent communication skills for both technical and non-technical audiences Preferred Qualifications: Experience in the travel or e-commerce industry Familiarity with cloud platforms (AWS, GCP, Azure) Publications in top-tier ML conferences or journals Contributions to open-source ML projects Experience in personalization systems or CRM-focused ML applications Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams

One of our partner company, are not just building AI-they're redefining what's possible at the nexus of physics, programming, and machine learning. As an Applied Scientist on their team, you'll tackle real-world scientific and coding challenges-developing novel reinforcement-learning algorithms and physics-informed models that accelerate breakthroughs in logic, coding, and semiconductor design. If you thrive on pushing the envelope of research and translating cutting-edge ideas into production-grade systems, this is your stage. What you'll do Prototype and validate new algorithms. Design, implement, and empirically evaluate novel RL, supervised, and unsupervised methods-especially those that leverage physics priors or logical constraints. Bridge research and production. Collaborate closely with ML Engineers and infrastructure teams to integrate experimental models into scalable pipelines, ensuring reproducibility, observability, and sub-second performance. Build robust experimentation platforms. Develop and maintain data-processing pipelines, training orchestration, and evaluation frameworks to accelerate iteration on large-scale experiments. Analyze and iterate. Dive deep into large datasets-experimental logs, simulation outputs, and user interaction traces-to diagnose model behavior, surface failure modes, and drive evidence-based improvements. Publish and present. Document findings in technical reports, contribute to open-source projects, and present work internally (and externally, when appropriate) to help shape the broader AI research community. What You Bring PhD or Master's in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a closely related field, with a strong focus on machine learning, reinforcement learning, or scientific computing. Hands-on experience developing and evaluating ML/RL algorithms-ideally demonstrated via publications, open-source contributions, or applied research projects. Proficiency in Python and deep-learning frameworks (PyTorch or TensorFlow), with solid coding practices for collaborative research. Excellent communication skills: able to distill complex technical ideas into clear narratives for both technical and non-technical audiences. Bonus Points (Not required, but great to have): Prior work on physics-informed neural networks, scientific simulations, or logic-based learning. Demonstrated expertise in reinforcement learning for combinatorial optimization, theorem proving, or code generation. Background in semiconductor design flows, EDA tools, or hardware-in-the-loop experimentation. What it's like here We're a rapidly growing, VC-backed startup where “raw talent and collaborative spirit over ego” isn't just a motto-it's how we work every day. You'll be surrounded by teammates who have built companies from zero to IPO, led teams at Google and Amazon, and earned medals in international science Olympiads. We value relentless curiosity, humble problem-solving, and a bias toward action. Logistics Redwood Shores, CA (U.S.) and Toronto, ON (Canada) Schedule: four days in our beautiful office, one day remote Visa Sponsorship: We welcome H-1B transfers and other employment-based visas

Scientist, In Vivo Pharmacology - Permanent - Palo Alto, CA Where curiosity meets purpose-join us in shaping the future of science. Primary Responsibilities: Proclinical is seeking a highly motivated, dynamic Scientist to support in vivo research on our cutting-edge pipeline and discovery programs. You will be involved in the preparation and execution of murine animal experiments and the collation of data. The Scientist of In Vivo Pharmacology will: Preparation for and execution of translational experiments such as in vivo pharmacology and disease model experiments, including experiments in knockout and transgenic mice Animal handling during murine experiments, and handling of murine tissues resulting from animal experiments Management of relationships with third-party vendors on mouse breeding and shipping Identification, ordering, organization, storage, and proper disposal of laboratory reagents required for studies In collaboration with the Laboratory Biology team, aid in maintaining laboratory space and inventory Recording and filing data, preparing technical reports, and study summaries Report progress of projects in a timely and concise manner to supervisor May independently lead the development and implementation of new assays to support research projects; may independently execute experiments and perform data analyses of moderate complexity; may have responsibility for specific method or study. Occasionally provides assistance to and/or mentoring other technical staff, new research staff or interns Manages personal experimental timelines to meet project and personal goals Presents findings at the scientist, department, and site-level. Function as part of a collaborative team to support research needs Contribute to the optimal functioning of the research team, including implementation of new tools and technologies. Skills & Requirements: S. and 7+ years of laboratory experience (academic and/or industry) or M.S. with 5+ years of laboratory experience (academic and/or industry) Degree must be in a life sciences discipline, preferably cellular and/or molecular biology, biochemistry, and/or microbiology/immunology 3+ years of hands-on experience with in vivo murine research required, with mouse pharmacology and inflammation disease model experiments highly desired Experience in experimental techniques such as handling of animal tissue, cell culture, qRT-PCR, flow cytometry, and ELISAs/MSDs is required Experience in immunology research, including research with primary immune cells, would be valuable Must be highly organized, punctual, and precise both in regards to performing laboratory experiments as well as maintenance of the laboratory space. Ability to work independently and occasionally during non-traditional work hours as may be required by some experiments and will need to be comfortable in a laboratory and animal facility setting. Possesses effective problem-solving, organizational, and communication skills Experience with Microsoft software suite (Word, Excel, PowerPoint), and other commonly used computer applications (Zoom, MS Teams, Box, etc.) Clear and effective communicator across verbal, written, and interpersonal settings If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.proclinical.com/privacy-policy

located in San Francisco, CA Responsibilities of the Scientist/Sr. Scientist-Stem Cell Biology/Embryology: Design and execute experiments in stem cell differentiation, organoid generation, and tissue engineering. Innovate then execute experiments to generate and differentiate human stem cells, develop functional assays, assess and interpret experimental workflows Perform mammalian embryo dissections, tissue isolations, and culture experiments to study and model developmental processes. Apply principles of developmental biology and embryology to guide tissue maturation and patterning. Collaborate with biomaterials and engineering teams to integrate cells and tissues. Develop and optimize protocols for reproducible tissue generation and maintenance. Test novel stem cell culture conditions, sort, screen, expand and differentiate hi PSCs according to latest protocols and newly developed approaches. Requirements of the Scientist/Sr. Scientist-Stem Cell Biology/Embryology: PhD in biological sciences, stem cell biology, genetics or related field. 2+ years hands-on expertise in stem cell culture (iPSCs/ESCs). Hands-on experience with mammalian embryos, including dissections and culture. Experience in molecular biology and strong problem solving skills.

Pay Rate Range: $50.00/hr. - $55.24/hr. Target Pay Rate: $55.24/hr. Duration: 3 Months Onsite Shift (if applicable): M-F 8:00 AM - 5:00 PM JOB DESCRIPTION SUMMARY/JOB PURPOSE: The Scientist II will be joining the Biotherapeutics Translational Pharmacology team to support our research programs. This position is primarily responsible for developing, optimizing and reporting out data for Bioanalytical assays for Antibody Drug Conjugates (ADC) to include ELISA, LC-MS and hybrid LC-MS techniques. This job will require the candidate to have excellent organization, communication, and teamwork skills, as well as flexibility and versatility, to meet tight deadlines in a dynamic, fast-moving environment. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Responsible for running analytical samples from nonclinical PK studies using ELISA, LC-MS and hybrid LC-MS techniques * Operation and troubleshooting of automated instrumentation * Collaborates with Biotherapeutics team members to support project advancement. * Maintains electronic laboratory notebook in a complete, consistent, and timely manner in accordance with company intellectual property policies and practices. * Prepares and organizes data for presentation. May present data and status reports at individual, group, and departmental research meetings under general supervision. * Adherence to excellent health and safety practices and compliance with applicable EH&S safety rules and participates in mandatory safety training programs. * Other responsibilities as assigned SUPERVISORY RESPONSIBILITIES: * No supervisory responsibilities EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: * Bachelor's degree in related discipline and a minimum of four years of related experience; or * Master's degree in related discipline and a minimum of two years of related experience; or, * Equivalent combination of education and experience. Experience: * Drug discovery experience is necessary with hands-on bioanalytical assay development with an excellent understanding of fundamental processes. * Experience with ELISA, LC-MS and Hybrid LC-MS is required * Experience using WinNonlin and PRISM applications are preferred. Knowledge/Skills: * Highly self-motivated with exceptional attention to detail is required. * Thorough knowledge of activities related to bioanalytical assay development and data generation * Excellent verbal and written communication skills with the ability to follow written instructions and SOPs. * Ability to multi-task and excellent time management skills. * Excellent work ethic, working effectively in both a team environment and independently. * Thorough proficiency in MS Word, MS PowerPoint and MS Excel is required. WORKING CONDITIONS: * Primarily working in laboratory and office environment. * Potential handling of hazardous materials, and brief periods of working in both 4°C and -20°C environments. * May be required to work weekends as needed. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Senior Decision Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor' and a ‘Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Position Overview: Fractal is looking for a proactive and driven Senior Decision Scientist to join our Decision Science Consulting team in the San Francisco, CA area. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting edge GenAI, Data Science, Engineering and Behavioral Science capabilities This is a perfect opportunity for someone, who is looking to combine best-in-class data science and analytics skills, strong problem-solving, effective communication and thought leadership to help our clients solve their most strategic business problems Responsibilities: Drive business decision making by deeply analyzing clickstream and other structured data, building machine learning/ statistical models to uncover actionable insights, and developing presentations to communicate the findings and recommendations Manage project roadmap by discussing potential analytics ideas, prioritizing based on estimated benefit vs. effort, documenting and planning for risks and blockers and periodically sharing status updates Contribute to the analytical foundations by documenting data and business understanding, sharing knowledge with broader team and coming up with new opportunities such as automating repetitive tasks, researching and applying new approaches/ techniques and bringing in ideas from other disciplines such as consumer psychology, brand, economics, competitive analysis, etc. Qualifications: Bachelors or equivalent experience in statistics, computer science, engineering, informatics, data science, or related field; additional business degree is a plus 8+ years of data science/ analytics experience with demonstrable hands-on expertise 3+ years of leading complex projects working with (or supervising) analysts, data scientists, AI engineers, designers, etc. Familiarity or natural interest towards management activities (project management, product management, team management) is strongly preferred Excellent communication and presentation skills are a must Strong proficiency with data manipulation is required (SQL + Python) Strong familiarity with ML development and testing in Python is required Must display strong learning agility to know the latest and greatest techniques across Statistics, ML and GenAI (Preferred) Demonstrated experience working with digital marketing functions e.g. purchase funnel optimization, digital product enhancement, email/ push marketing, etc. Hands-on experience in one, or more of the following is strongly preferred: regression, classification, clustering, time series forecasting, NLP Familairity with Adobe Analytics and Snowflake is a plus Salary Range: $130,000 - $155,000 (bonus and benefit eligible) Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Yoh is looking for a skilled and driven Senior Research Scientist, Biophysics with hands-on experience in small molecule drug discovery to join our collaborative Lead Discovery team. This is a lab-based role focused on the biophysical and mechanistic characterization of small molecule-protein interactions to support our drug discovery pipeline. This candidate must have hands on experience with designing and executing binding characterization studies using SPR. Industry: Discovery and Development Location: South San Francisco, CA Key Responsibilities: Design and execute binding characterization studies using SPR (Biacore S200 and 8K+). Conduct routine compound screening and mechanistic studies using biophysical assays (e.g., nano DSF, DLS, Spectral Shift). Manage and coordinate outsourced biophysical studies with CROs. Analyze and interpret data to support SAR and lead optimization across multiple projects. Maintain detailed experimental records and present findings in internal meetings and reports. Qualifications: PhD in Biophysics, Biochemistry, or a related field. Minimum 3 years of relevant industry experience in small molecule drug discovery biophysics. Proven expertise in SPR assay development and data interpretation. Demonstrated expertise in designing, developing, and interpreting biophysical characterization of small molecule-protein interactions by SPR. Strong familiarity with additional biophysical techniques (TSA, DLS, Spectral Shift, NMR, ITC, etc.). Proficiency with data analysis and graphing tools is a plus. #IND-SPG Estimated Min Rate: $70.00 Estimated Max Rate: $80.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

Job Title: User Research Moderator Duration: Contract - Begins 11/17 thru the Holidays, extensions are very likely Schedule: Full-Time (Monday - Saturday shifts) - 40 hours per week Pay: $35/hr Must Have Requirements Previous roles in UX research, human-computer interaction, psychology, or a related field. Experience moderating user research studies, facilitating training groups or teaching sessions. Microsoft Teams proficiency Job Description: Overview: The ideal candidate will facilitate user research sessions, ensuring participants are comfortable and engaged to gather valuable insights on consumer product devices. This is an in person research study with participants using wearable technology devices. As a moderator, you will run multiple 1:1 sessions daily to train participants on the device, ask series of questions and document the findings of the study. Day to Day: Provide instructions to participants on wearable devices Guide participants through various activities to ensure accurate data collection Ask follow-up questions and probing for insights as needed. Ensure participant sessions run smoothly by managing timing, recording, and troubleshooting any technical issues. Take detailed notes and document participant feedback accurately during and after sessions. Collaborate with UX researchers to achieve research objectives and methodologies. Maintain a professional and empathetic demeanor to create a positive participant experience in person.

We are a group of people united by a strong purpose. We want you to get to know us, and Giuseppe, our very own artificial intelligence. We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants. Our recipe has three mega-important components: science, technology, and of course, disruptive talents who work daily to create a better future. At NotCo we are not and do not seek to be the perfect company, but rather the right one. We are here to produce changes, and that is why we dare, fail, and sometimes achieve incredible successes. We are currently looking for a Product Development Scientist for our NotCo B2B Research & Development located in San Francisco, California, requiring an active on-site presence. This position will report to our R&D Sr. Team Lead and the incumbent will work cross-functionally to ensure R&D activities are successfully deployed locally. Responsible for the: Independently conducts day-to-day product development activities as directed by the manager across multiple projects. This includes supporting activities related to the full product lifecycle process (from product concept to successful commercial launch as needed)and supporting process development, scale-up and technology transfer Supports the design and execution of bench-top tests, pilot-plant trials and full-scale formulations to deliver high-quality food products that meet and exceed the sensory, cost, and other performance targets Proactively proposes and uses sensory and analytical analysis to guide and validate the development process Maintains detailed documentation, experiment tracking and outcomes, and documents finished goods and ingredient specifications Provides feedback to project lead regarding relevant technical and process information Communicates proactively and effectively with cross-functional teams, clearly articulating perspectives and trade-offs related to new product development goals Utilizes NotCo's proprietary AI technology to develop and improve food products Supports formula validation activities as well as process development, scale-up and technology transfer Engages in client communications and workshops, bringing technical Maintains detailed documentation across all R&D activities in a timely manner Qualifications / Requirements: Bachelor's degree in Food Engineering, Food Science, Engineering in Biotechnology or a similar discipline. 2 + years of Food R&D experience is desired, preferably across both food and beverage categories. Be agile, adaptable, and thrive in a dynamic and changing culture; works relentlessly to overachieve, anticipate obstacles, and create plans to overcome them. Adapts easily to changing priorities and direction based on new project learnings and team priorities. Demonstrated competency to effectively communicate (oral & written) cross-functionally with solid collaboration skills. Comfortable in client-facing situations and able to communicate complex topics clearly and simply. Excel in a startup environment, is excited to create new procedures and processes from scratch and has a strong entrepreneurial mindset. Be a problem solver, have a general manager mindset, and take the initiative to get the job done Possess strong planning, project management, and execution skills, and the ability to articulate where and how you have used them. Rigorous data-driven/analytical capability and ability and presence to present data effectively to a leadership team Work well in teams and cross-functional groups in a matrixed environment, both regionally and globally Possesses strong computer skills, including a high level of proficiency in MS Office, specifically Excel Authorization to work in the U.S. is required Ability to travel up to 50% of the time, including international travel and extended trips. NotCo is committed to fair and equitable compensation practices. The pay range for this role is $65,000 - $75,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. **2\. Key Responsibilities** • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) **3\. Ideal Qualifications** • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics **4\. More About the Opportunity** • Remote and asynchronous - set your own schedule • Expected commitment: 15-20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest **5\. Compensation & Contract Terms** • $65-85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract - independent contractor status **6\. Application Process** • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3-5 business days **7\. About Mercor** • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.