Research fellow jobs in Santa Clara, CA

Job Title: Research scientist (Robotics, AI) Position Type: Full-Time / Permanent Salary range: $200,000/yr - $270,000/yr Job Description: We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated research scientists to join our founding team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA. Responsibilities: Develop new algorithms and methods for training AI models for enhancing the robot dexterity. Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.). Work with large-scale ML systems and large-scale model training/fine-tuning. Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots. Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements: Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience. Passionate about working with robots and building robot products. Excellent analytical, problem-solving, and communication skills. At least 3 years of experience conducting independent research. Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.) A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc. Proficient with Python. Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax. Experience with real robot experiments. Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc. About Us: Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at *************************** Compensation: The compensation offered will depend on various factors, including location, experience, education, and job-related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility.

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

About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. Mountain View, CA - Onsite Long Term Contract Position Description: This job will include 1) contributing to 3GPP standardization, 2) working on research projects for communication technologies for connected mobility, 3) contributing to other standardization, and 4) contributing to other research projects. Based on the phase of the work and the output, academic publications will be considered. PRIMARY RESPONSIBILITIES: The primary responsibilities will include, but are not limited to: Contribute to 3GPP standardization Create invention disclosures Write 3GPP RAN1, RAN2, and/or RAN contributions Attend and contribute to 3GPP RAN1, RAN2, and/or RAN standardization meetings Regularly report and present to the research team and management Propose and lead research projects for communication technologies for connected mobility Propose and conduct research and development with internal and external collaboration partners Create academic publications and invention disclosures Regularly report and present to the research team and management Contribute to other standardization (e.g., SAE, ETSI, IEEE 802) as requested Contribute to other research projects in TMNA R&D InfoTech Labs Requirements: THIS POSITION WILL BE WORKING FROM OUR MOUNTAIN VIEW CALIFORNIA SITE QUALIFICATIONS: Ph.D. holder in Electrical Engineering or Computer Science Being able to travel domestically and internationally for attending 3GPP standardization meetings. International travel will be typically to Asia (Japan, Korea, India) and Europe. There will be around 5 international or domestic travels per year (1 week travel each) 3GPP RAN1 or RAN2 delegate experience is required REQUIRED SKILLS: Research and development experience of wireless communications, preferably in vehicular environments Strong knowledge of wireless communication at Layer 1 and Layer 2 Solid understanding of 4G LTE and 5G NR standards and 3GPP standardization processes Experience of attending 3GPP meetings as a delegate and writing 3GPP contributions, preferably in RAN1 WG Capability to learn and explore new research areas Excellent time management and task prioritization skills Clear and concise presentation skills, both written and oral, with consideration for international audiences Demonstrated ability to work independently as well as within a highly motivated team environment Well-developed interpersonal and communication skills, including ability to respond professionally in all types of situations Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.” It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at ************ Rewards: Medical, dental, vision 401k Term life Voluntary life and disability insurance Optional Pre-paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Work-visa sponsorship Opportunity for advancement Long-term assignment with opportunity for hire by client SELECT AWARDS An INC 5000 company for 10 years Corp! Michigan Economic Bright Spots Crain's Detroit Business Top Staffing Service Companies in Detroit TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions Best of MichBusiness winner in HR Wizards & Partnerships Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest 101 Best & Brightest Companies to Work for in Michigan

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies 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 ************************

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. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

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).

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.

The University of California, San Francisco (UCSF) is dedicated to advancing health worldwide through innovative research, high-quality education, and exceptional patient care. UCSF is recognized for fostering collaboration among its renowned graduate schools, medical center, and research programs. The university is committed to excellence, driving breakthroughs that improve lives. UCSF serves as a hub for scientific discovery and education in the heart of San Francisco, CA. The position is in the group of Drs. Boris Bastian and Iwei Yeh at UCSF's Helen Diller Family Comprehensive Cancer Center, leaders in melanoma genetics and translational research. The lab offers a stimulating, collaborative environment with access to cutting-edge technologies and interdisciplinary expertise. Role Description This is a full-time, on-site role for a Postdoctoral Researcher based in the Melanoma Discovery Lab at the University of California, San Francisco (UCSF) is seeking a highly motivated postdoctoral fellow (MD or PhD) to study systemic immune responses to gene fusion-driven cancers. This project explores how potent oncogenic fusions can initiate neoplastic growth while simultaneously triggering immune surveillance, with Spitz tumors serving as a model. The broader aim is to understand how similar transient, immune-contained lesions may arise in other tissues and be eliminated before clinical detection. The fellow will join a collaborative effort between cancer geneticists/melanoma biologists and genetic immunologists, combining genomic and immunologic approaches to study the systemic response to fusion-driven neoplasms. Qualifications MD or PhD in cancer biology, immunology, genetics, or related fields Strong research background and publication record Experience with molecular, genomic, or immunologic methods preferred Intellectual curiosity about tumor-immune system interactions Proficiency in Laboratory Skills and experience in conducting hands-on experimental work Strong Research and Data Analysis capabilities with attention to detail Experience with publication in peer-reviewed journals is a plus To Apply Send a CV, brief statement of research interests, and contact information for three references to **********************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Reporting directly to the Director of the Digital Experience Marketing and Integrated GTM Strategy, this role will drive high-impact marketing initiatives that leverage agentic capabilities to align Adobe's enterprise go-to-market (GTM) strategy with customer needs, sales plays, and product innovation. The ideal candidate will bring a strong mix of strategic thinking, cross-functional leadership, and operational rigor to drive measurable business outcomes across the funnel. What You'll Do You'll work cross-functionally to drive strategic initiatives that span AI-assisted Marketing Capabilities, Integrated GTM Strategy & Alignment, and Translating Account, Persona & Content Strategy into Actionable Insights, Vision-setting and Storytelling. This is a high-visibility role with exposure to senior leadership and opportunities to shape how Adobe delivers experiences to enterprise customers. Key contributions: * Develop AI-Driven Marketing Capabilities: Collaborate on initiatives to develop agentic capabilities for Business Development Reps and Marketers; scoping use cases and translating data into actionable insights and next-best-action recommendations. Support Proof-of-Concept testing to improve agentic capabilities and recommendations. * Foster Integrated GTM Strategy & Alignment: Support the development of strategies to deliver unified customers experiences by synthesizing data from multiple sources (CRM, web, campaign, sales). Partner with Product Marketing, Sales Strategy, and Analytics to shape our unified approach to customers and ensure alignment with sales plays, product priorities, and customer personas. * Translate Account, Persona, & Content Strategy and Actionable Insights: Contribute to the creation and evolution of marketing scorecards and dashboards (e.g., Power BI, CJA B2B), helping teams translate data into actionable insights to inform GTM prioritization. Assist in building and maintaining dashboards, heatmaps, and prioritization tools to support targeted engagement strategies. * Cross-Functional Leadership: Lead cross-functional workstreams with stakeholders across Enterprise Marketing, PMM, Sales, Content Strategy, ACS, and DX Products to drive alignment and execution. Experience We're seeking a highly analytical and strategic thinker to join our Integrated GTM Strategy & PMO team. This role is ideal for someone with a strong foundation in marketing, data analytics, decision sciences, or strategy consulting, and a passion for driving business impact through customer-centric, data-informed marketing strategies. * Currently enrolled in a full-time MBA program graduating between December 2025 - June 2026 * Exceptional analytical and quantitative problem solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations * Exceptional written and verbal communication skills with the ability to influence both peers and leaders * Experience in B2B marketing, GTM strategy, or marketing operations preferred * Proven ability to lead cross-functional initiatives and influence senior stakeholders. * Familiarity with AI-powered marketing tools, CRM systems (e.g., Salesforce), and campaign orchestration platforms preferred * Excellent communication and storytelling skills, with a track record of translating complex data into compelling narratives. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $84,300 -- $163,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice Dec 31 2025 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice 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. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

+ Client is working on updating a design language to better meet the needs of users and align more with modern expectations. We are looking for a Quantitative User Experience Researcher to help us understand the key needs of the design language using a combination of foundational and tactical quantitative research. **Responsibilities:** + As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers, product managers, and engineers about user needs. + You'll play a critical role in creating useful, usable, and delightful products. + You will investigate user behaviour and user needs using empirical research methods such as survey research and regression analyses. + Work with stakeholders to understand and prioritize research questions. + Define research approach to answering those questions. + Own the entire research lifecycle from research design through analysis and presentation. **Experience:** + 5 years of experience in an applied research setting, or similar + Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go) + Survey research design and analysis + Experience owning and delivering quantitative research + Comfortable working with a variety of stakeholders + Expertise in multivariate statistics and the design of experiments. **Skills:** + Quantitative + Survey + Design + UX + Research **Education:** + Bachelor's degree in human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Clinical Research Investigator (MD/DO) DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our site in San Francisco, CA. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligibility to enroll in studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and complies with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical license (MD, DO) - California 2 years experience as a Clinical Research Investigator (Principal Investigator or Sub-Investigator) Bilingual Spanish a plus Flexible hours - schedule can be tailored as required.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role Thinking Machines builds multimodal-first. We're looking for new team members to advance the science of visual perception and multimodal learning. We think about how vision and language interact at scale. We design architectures that fuse pixels and text, build datasets and evaluation methods that test real-world comprehension, and develop representations that let models ground abstract concepts in the physical world. Our goal is to create multimodal systems that support seamless integration into real-world environments. You'll work at the intersection of visual understanding, multimodal reasoning, and large-scale model training. You'll help develop the architectures, data, and evaluation tools that teach AI to see, understand, and collaborate. The best candidate is curious about multimodal interfaces, has experience running large scale experiments and is comfortable contributing to complex engineering systems. While we are looking for a person with expertise in multimodality, Thinking Machines Lab operates in a unified fashion and expects new hires to work across modalities as one team. This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports. It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns. Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role. What You'll Do Own research projects on training and performance analysis of multimodal AI models. Curate and build large-scale datasets and evaluation benchmarks to advance vision capabilities. Work with our data infrastructure engineers, pretraining researchers and engineers, and product team to create frontier multimodal models and the products that leverage them. Publish and present research that moves the entire community forward. Share code, datasets, and insights that accelerate progress across industry and academia. Skills and Qualifications Minimum qualifications: Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor. Understanding of machine learning fundamentals, large-scale training, and distributed compute environments. Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales. Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding. Clarity in communication, an ability to explain complex technical concepts in writing. Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but at least some: Research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture design. Experience developing evaluation frameworks for multimodal tasks. Publications or open-source contributions in vision-language modeling, video understanding, or multimodal AI. A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs. PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience. Logistics Location: This role is based in San Francisco, California. Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together. Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed. As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Top investment bank seeking an equity research associate to support a rising senior biotechnology analyst covering mid- and small-cap biotech companies. Responsibilities will include: Candidate should understand that the team is highly motivated to become top-ranked in the biotech industry Conducting proprietary research and evaluating drug pipelines by analyzing scientific literature, attending medical conferences, and consulting industry experts Writing research reports for initiations of coverage, deep dive data analyses, competitive landscaping, and industry/ company news Delving into intellectual property and following patent litigation concerning pharmaceuticals Building and maintaining financial models and powerpoint decks Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Key Qualifications: 1-2+ years of experience in healthcare investment research required (sell side, buy side, investment banking, etc). Must be fully licensed. Science background required; MD or PhD preferred Motivated to rise in the sell-side industry in the long-term Hard-working, attention to detail, team player Sharp analytical skills in dissecting preclinical and clinical data Deep understanding of, or experience with, drug development and the FDA-approval process for pharmacologic treatments is desirable High proficiency in written/verbal communication Can type >120 words per minute Has experience writing quality sell side reports, producing powerpoints, and creating detailed financial models (e.g. functioning three-statement models, DCFs, market models, etc) Experience building financial models using excel is a plus Primary Location Full Time Salary Range of $100,000 - $120,000.

Job DescriptionBenefits: 401(k) Bonus based on performance Opportunity for advancement Paid time off Looking for a great career opportunity with potential for advancement? We are a rapidly growing Aerospace Hardware distribution company in the Pt Richmond vicinity seeking an articulate, friendly, detail-oriented, smart and energetic person to assist with general office duties, communicating with customers and vendors, as well as keeping us organized. This person will work closely with the CEO taking direction as well as working independently on daily and weekly tasks. Responsibilities will include Computer work - internet research, MS Office Suite, email; Processing and responding to customer quote requests File and maintain company records; Handle phone calls from customers, vendors, etc.; Write basic business letters and respond to correspondence containing routine inquiries; Assist in orientation of new employees; Maintain and manage customer and vendor records; Perform general duties of office management - order supplies etc.; Special projects and other duties as assigned; Contribute to a positive work environment Required Qualifications Include Outstanding customer service; Great verbal communication and writing skills; Meticulous attention to detail; Computer skills including web research and email skills; Ability to multi task and be flexible in the midst of changing priorities; Able to take both initiative and direction comfortably; Exceptional telephone skills; Customer focused, warm and engaging personality; Great listening skills; Strong problem solving skills; Professional presence; comfortable interacting with all customers and vendors; Consistent and reliable work ethic integrity is critical; Ability to operate computer and other equipment in the office. Must have High School degree or better A valid drivers license, reliable transport and current auto insurance; and At least 2 years experience as an Administrative Assistant or similar'

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description: • Under general supervision, executes on assigned tasks following appropriate laboratory/technical procedures. • Produces competent, reproduce-able results to a high technical standard. • Makes detailed observations and analyzes data to provide an interpretation of results. • Assists with the investigation, creation and development of methods, experiments and/or technologies for project advancement. • Prepares technical reports, summaries, protocols, and/or quantitative analyses. • Maintains accurate and well-organized laboratory records, worksheets and notebooks. • Under general supervision, executes on assigned tasks following appropriate laboratory/technical procedures. • Maintains current training requirements. Maintains compliance to company Environmental Health and Safety policies, procedures and practices. Skills: • Previous hands-on practical laboratory experience is required. • Must have standard protein biochemistry skills, to prepare buffers, run SDS-PAGE gels, perform BCA assays and similar well-defined tasks. • Must have a demonstrated working knowledge of scientific principles. • Must be able to demonstrate good decision-making skills. Must possess good oral and written communication skills. • Must be able to demonstrate sound judgment. • Must have demonstrated problem solving abilities. • Strong organizational skills are required. • Good computer skills are required. • Working knowledge of MS word, Excel, Power point is a plus. • Experience working in an FDA regulated environment is highly desired. • Must be willing to work as part of a team and demonstrate good interpersonal skills. Qualifications Education: • A minimum of a Bachelors degree in a scientific discipline is required. • Equivalent experience may be accepted. • A minimum of 2 years work experience in a research and/or development environment is required. Additional Information For more information, Please contact Sneha Shrivastava ************** Morristown, NJ 07960

About KariusKarius is a venture-backed life sciences startup transforming the way pathogens and other microbes are observed throughout the body. By unlocking the information present in microbial cell-free DNA, we're helping doctors quickly solve their most challenging cases, accelerating industry partners' biomarker discovery and clinical trials, uncovering novel microbes, and ultimately working to reduce patient suffering worldwide. Position SummaryYou are curious, creative, and driven to make a meaningful impact on patients. As a key member of the Computational Biology team, you will develop and improve algorithms that are central to maximizing the value of our data. You'll operate at the cutting edge of computational biology, collaborating across disciplines to solve complex problems and innovate where existing solutions fall short. This role is ideal for a self-starter who thrives in a fast-paced, mission-driven environment and has a passion for scientific rigor and quality. Why Should You Join Us?Karius is dedicated to advancing the understanding and diagnosis of infectious diseases through innovation in genomic sequencing and machine learning. Our platform is delivering unprecedented insights into the microbial landscape, enabling clinicians to identify more than a thousand pathogens directly from blood with a comprehensive test. As part of the Karius team, your work will directly impact patient lives at scale. You'll be surrounded by talented scientists, engineers, and clinicians united by a common mission and a culture of excellence. Reports to: Director, Computational Biology Location: Redwood City, CA (Hybrid) or Remote (USA) Primary Responsibilities• Lead the design, development, implementation, validation and improvement of novel computational methods and algorithms to extract actionable insights from high-dimensional biological data.• Lead the design and development of computational pipelines for analyzing complex, high-dimensional NGS and other biological datasets.• Contribute to strategic planning and scientific direction for computational biology within the company, influencing roadmap decisions and investment in infrastructure. • Drive cross-functional collaboration with colleagues in Assay Development, Analytics, Research, Engineering, Molecular Biology, and Medical Affairs to understand data properties, clinical context, and opportunities for improvement.• Drive data interpretation and biological contextualization of findings; author technical elements of publications, presentations and regulatory submissions. • Stay current on emerging trends in computational biology, metagenomics, statistics, and software engineering, and proactively apply relevant advances to enhance analytical capabilities and scientific rigor.• Explore diverse approaches to modeling and problem-solving across quantitative disciplines.• Share a passion for ensuring the quality of our computational methods. What's Fun About the Job?Karius is operating at the frontier of infectious disease diagnostics, defining what's next in clinical metagenomics. You'll work on novel and impactful scientific problems, applying some of the most advanced technologies available. Whether refining algorithms or designing entirely new methods, your contributions will play a central role in transforming patient care and accelerating scientific discovery. Travel RequirementsAbility to travel to HQ once per quarter for team events, if remote. Physical RequirementsSubject to extended periods of sitting and/or standing, and moderate noise levels. Work is generally performed in an office environment. Position Requirements• Ph.D. or Masters in computer science, statistics, mathematics, physics, or a related field, preferably with a focus on computational biology.• Proven experience in biotech, pharma, or relevant industry settings: minimum required experience with PhD is 5+ years, Masters is 8+ years. • Demonstrated track record of developing novel quantitative models for biological data, as shown through relevant publications.• Expertise and ability to innovate in probabilistic models (e.g., Dirichlet processes). • Expertise with NGS/bioinformatics, statistics, and machine learning tools for analysis of high-dimensional datasets.• Experience in diagnostics is highly desirable, and experience with database technologies is a plus.• Excellent communication skills and ability to thrive in collaborative, cross-functional teams.• Comfortable working in a small, agile team where responsibilities span both research and development, and able to shift focus as needed to meet evolving project goals. Personal Qualifications• Passionate and purpose-driven with a deep connection to Karius' mission.• Comfortable in a hybrid research-development environment.• Detail-oriented, organized, and effective in a fast-paced startup setting.• Eager to grow and help others grow as part of a collaborative, learning-focused team.• Strong scientific curiosity and a drive to solve complex biological problems through data.• Adaptable and resilient in the face of ambiguity and evolving priorities.• Committed to scientific integrity, transparency, and rigor in every aspect of work.• Excellent communicator who can translate technical insights into actionable biological understanding. DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius. Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression, including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify, religion, age, national origin or 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. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.$135,980 - $203,970 a year

The Opportunity State-of-the-art technologies that measure multiple cellular aspects of in-vitro biology are at the heart of insitro's efforts to accelerate drug development. Computational biology is key to elucidating the relationship between these phenotypes and human disease and translating them into actionable outcomes. We are looking for an expert in omics data analysis, including deep understanding of cell biology and single cell transcriptomics, and fluent with state-of-the-art analysis techniques. Your expertise will help the team navigate the complexities developing disease relevant cell models and analyzing high throughput phenotypic screens, and ensure that the tools being developed are calibrated and effective, and that analyses are performed to the highest rigor and in line with best practices in the broader scientific community. In this role, you will collaborate closely with experimental biologists and machine learning scientists, support the identification of novel phenotypes, the development of new screening paradigms, and advance our understanding of disease. You will utilize diverse machine learning and bioinformatic methods to perform diverse downstream analyses, including integrating with other data modalities, including imaging and human cohort data in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. This role will be reporting to the Head of Computational Biology and ML-Omics . This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week. You will be joining a vibrant biotech startup that has many opportunities for significant impact. You will work closely with a highly talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients! Responsibilities * Analyze and interpret omics datasets from disease-relevant in-vitro models to identify potential therapeutic targets from perturbation screens * Partner with experimental biologists to design, troubleshoot, and optimize high-throughput experiments and workflows * Integrate insights from multimodal data (bulk/single-cell RNA-seq, microscopy, spatial proteomics, human cohort data) to understand disease mechanisms and generate therapeutic hypotheses * Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions * Communicate findings clearly to cross-functional stakeholders through reports, visualizations, presentations, and publications About You * Ph.D. in computational biology, systems biology, bioengineering, machine learning, or a related discipline, with 3+ years of working experience post graduation * Extensive hands on experience analyzing single-cell and bulk RNA-seq data * Experience working with functional genomic assays data (RNA/ATAC/ChIP-seq, etc) * Experience analyzing data from perturbational screens (e.g. perturb-seq) * An understanding of systems biology, molecular biology, or disease biology (e.g. neurological disorders, metabolic disorders) * Experience with spatial proteomics and/or transcriptomics * Strong programming skills and proficiency with Python scientific packages (i.e., numpy, pandas, scanpy) * Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions * Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review) * Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $175,000 - $200,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: * 401(k) plan with employer matching for contributions * Excellent medical, dental, and vision coverage as well as mental health and well-being support * Open, flexible vacation policy * Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) * Quarterly budget for books and online courses for self-development * Support to attend professional conferences that are meaningful to your career growth and role's responsibilities * New hire stipend for home office setup * Monthly cell phone & internet stipend * Access to free onsite baristas and cafe with daily lunch and breakfast for employees who are either onsite or hybrid * Access to free onsite fitness center for employees who are either onsite or hybrid * Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is 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. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at ****************. #LI-Hybrid About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit ****************

Ready to redefine what's possible in molecular diagnostics? Join a team of brilliant, passionate innovators who wake up every day determined to transform healthcare. At BillionToOne, we've built something extraordinary-a culture where transparency fuels trust, collaboration drives breakthroughs, and every voice matters in our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we strive to build products that are 10x better than anything that exists today. Our people are our greatest asset: talented scientists, engineers, sales professionals, and visionaries united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion-every innovation you contribute helps remove fear of unknown from some of life's most critical medical moments. If you're driven by purpose, energized by innovation, and ready to help build the future of precision medicine, this is where you belong. We are looking for a Senior Bioinformatics Scientist to join a fast growing team. This person will be responsible for the generation, analysis, and communication of clinical next-generation DNA sequencing data for the Northstar oncology products. Our sample volume is growing extremely quickly, and this role will own the further development of our analysis pipeline to analyze tens of thousands of samples, and be the lead scientist for everything related to our bioinformatics analyses. The Senior Bioinformatics Scientist role is a full-time onsite position and reports to the Senior Manager of Bioinformatics, Oncology. Responsibilities: Develop sophisticated and robust NGS analysis pipelines capable of processing tens of thousands of samples Develop tests and test frameworks for NGS pipelines Analyze and troubleshoot clinical NGS data Analyze assay performance and contribute to publications that demonstrate the clinical validity and utility of our tests Design new quality metrics and processes for clinical molecular diagnostic assays Collaborate with R&D scientists to generate new scientific insights Communicate assay performance and capabilities to clinical personnel at weekly meetings and to other non-clinical stakeholders Qualifications: PhD in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics or related fields 2+ years of experience developing robust and scalable bioinformatics pipelines 2+ years of experience analyzing NGS data Fluency in Python Experience with Linux environment, GitHub and AWS Excellent communication and presentation skills, ability to work across functional teams and with non-experts Nice-To-Haves: Start-up experience Experience working in a regulated environment Experience with CI/CD pipelines and dockerized code deployment Experience with cloud infrastructure management with infrastructure as code such as CDK Benefits And Perks: Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients Open, transparent culture that includes weekly Town Hall meetings The ability to indirectly or directly change the lives of hundreds of thousands patients Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80% Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%) Supplemental fertility benefits coverage Retirement savings program including a 4% Company match Increase paid time off with increased tenure Latest and greatest hardware (laptop, lab equipment, facilities) Free daily on-site lunches provided from top eateries A variety of perks on campus (state of the art gym, restaurant) Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.). For this position, we offer a total compensation package of $244,805 per year, including a base pay range of $156,060 - $176,868 per year. BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For more information about how we protect your information, we encourage you to review our Privacy Policy. About BillionToOne BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA-a breakthrough that's already transformed the lives of over half a million patients worldwide. Our Impact: We've pioneered game-changing diagnostic solutions that are redefining industry standards. Unity Complete™ stands as the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. In oncology, our Northstar liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care. Our Growth: From $0 to $125 million in Annual Recurring Revenue in just four years. We've raised close to $400 million in funding, including a $130 million Series D round in June 2024, achieving a valuation of over $1 billion. This backing comes from world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. Our Recognition: Forbes recently named us one of America's Best Startup Employers for 2025, and we were awarded Great Place to Work certification in 2024-with an incredible 100% of our people reporting they are willing to give extra to get the job done. These honors recognize not just our innovation but the exceptional culture we've cultivated-one that remains authentically collaborative and transparent even as we've scaled. Our Future: Headquartered in Menlo Park with facilities in Union City, California, we're continuing to push the boundaries of what's possible in molecular diagnostics. Recent clinical outcomes data for Unity Fetal Risk Screen and new advances in cancer diagnostics prove we're just getting started. At BillionToOne, you'll join a diverse team of passionate innovators who believe that the best science happens when brilliant minds collaborate openly, think boldly, and never lose sight of the patients whose lives depend on our work. Ready to help us change the world, one diagnosis at a time? Learn more at ********************