Trabajos scientist en San Francisco, California - Page 2Crear alertas

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

PLEASE NOTE:This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems-while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. • ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs., • HFC Community: Beyond the work, you'll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains., • Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers-boosting your academic visibility and professional recognition(e.g., ___, ___, ___)., • Education:PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field., • Professional Background:1-3+ years of experience as a Machine Learning Engineer or Data Scientist., • Skills: Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow).Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus., • Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration., • Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology., • Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions., • Flexible Schedule: Set your own schedule, with flexible 10-40 hour weeks that fit around your life and other commitments., • Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location., • Apply: We review applications on a rolling basis., • Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. Are you passionate about applying GenAI to improve efficiency and accelerate business execution-grounded in strong data foundations? Join Pinterest's IT Enterprise Systems team to build analytics engineering and GenAI capabilities that power our go-to-market and corporate operations. You'll create trusted data models and pipelines across core enterprise platforms and layer in LLM-enabled workflows with clear evaluation, observability, and guardrails. What you'll do: • Build production-grade GenAI-enabled analytics solutions that integrate enterprise data sources (e.g., Salesforce, Gong, Oracle, IBM Planning Analytics, and other SaaS platforms)., • Establish end-to-end LLM pipelines (retrieval/orchestration) with evaluation frameworks, observability, and validation guardrails to ensure reliability and safety., • Lead technical scoping for GenAI use cases, assessing feasibility, accuracy expectations, risk, and ROI-then translating into clear technical plans., • Design and own analytics-ready data models, including dimensional modeling (star schemas, fact/dimension tables, SCD Type 2) that support reporting, forecasting, and downstream applications., • Develop and maintain robust data pipelines and orchestration (Airflow and/or dbt or similar), including data quality checks, SLAs, monitoring, and failure recovery., • Write and optimize complex SQL for transformation and analysis across enterprise datasets (joins, window functions, CTEs, performance tuning)., • Partner closely with business stakeholders, turning ambiguous questions into well-scoped requirements, success metrics, and deliverables; communicate tradeoffs and constraints clearly., • Use AI tools to accelerate development responsibly (e.g., drafting SQL/Python, iterating on prompts, summarizing findings), while applying rigorous testing and verification., • Define best practices for GenAI in analytics engineering, including prompt patterns for analytics tasks, model selection, and cost/latency optimization. What we're looking for: • 8+ years in analytics engineering, data engineering, data science, or related roles (or equivalent experience)., • Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or a related field (or equivalent experience)., • Strong understanding of LLM fundamentals and practical tradeoffs, including:, • Capabilities, limitations and common failure modes., • Tokenization, context windows, latency/cost considerations., • RAG vs. fine-tuning vs. prompting/tools for use cases., • Expert SQL skills (complex joins, window functions, CTEs, query optimization)., • Hands-on experience with dimensional modeling (star schemas, SCD Type 2) and workflow orchestration tools such as Airflow, dbt., • Demonstrated ability to validate AI-assisted output., • High integrity and ownership to handle sensitive enterprise data appropriately and remain accountable for final outputs., • Strong stakeholder communication with the ability to explain technical constraints to non-technical partners., • Experience with GenAI coding tools (e.g., Cursor, Claude Code) to accelerate development while maintaining code quality and maintainability. Relocation Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. In-Office Requirement Statement: • This role will need to be in the office for in-person collaboration 1-2 times/quarter every 6-months and therefore can be situated anywhere in the country., • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Position Title: Scientist, Complex in Vitro Systems (Lung Focus) Work Location: South San Francisco, CA, 94080 Assignment Duration: 12 Months Work Arrangement: Onsite (M-F, 8 h a day) Position Summary: The Complex in Vitro Systems (CiS) Lab within the Department of Translational Safety is seeking a highly motivated Scientist to develop, characterize, and qualify advanced complex in vitro models to support The Organization's mission of delivering safe and efficacious medicines. The CiS group partners closely with colleagues across Development Sciences, Translational Medicine, and Research to establish and implement innovative platforms that enable target assessment, lead optimization, and safety evaluation across a dynamic portfolio, novel modalities, and emerging therapeutic areas. Background & Context: In this lab-based role, you will provide scientific and technical expertise to support the development and implementation of human lung complex in vitro models (CIVM), including lung organoids, air-liquid interface (ALI) cultures, and lung microphysiological systems for drug development. Key Responsibilities: • Development, qualification, and implementation of innovative in vitro lung model systems (e.g., airway and alveolar organoids, ALI cultures, lung-on-a-chip co-culture platforms) to support disease modeling and lung safety risk assessment., • Designing and executing experiments to characterize lung models, including evaluation of cell viability, morphology, and barrier integrity and function, using techniques such as cytotoxicity assays, confocal and high-content imaging, transepithelial resistance/permeability assays, and transcriptomic and proteomic analyses., • Collaborating closely with cross-functional teams within and outside gRED to align on complex model building with therapeutic strategies and program needs., • Analyzing, interpreting, and clearly communicating study results to collaborators and stakeholders, and contributing to internal and external scientific presentations as appropriate., • Maintaining comprehensive electronic documentation in accordance with departmental Standard Operating Procedures (SOPs) and contributing to study reports, safety assessments, and final deliverables., • Culturing and characterizing state-of-the-art lung CIVM models, designing and executing model qualification and characterization studies (e.g., advanced imaging, transcriptomics, and functional and phenotypic assays), analyzing and interpreting complex datasets., • Sharing scientific insights across functional teams, contribute to cross-disciplinary collaborations, and support internal and external publication efforts. Qualification & Experience: • PhD in Bioengineering, Cell Biology, Molecular Biology, Toxicology (or related fields) with 0-5 years of experience post-PhD with hypothesis-driven research in industry or academia., • Experience in culturing multiple lung cell types, including relevant lung primary cells and cell lines., • Proven expertise in developing, qualifying, and applying airway or alveolar organoids, co-culture systems, and microphysiological or microfluidic platforms, to support drug discovery and translational research., • Proficiency with quantitative and qualitative characterization techniques such as qRT-PCR, RNA-seq, proteomics, immunofluorescence and confocal microscopy, live-cell and time-lapse imaging, high-content imaging/screening, and analysis of data generated from these assays., • Strong experimental design skills, with demonstrated ability in troubleshooting, method development, and protocol optimization for complex in vitro systems., • A collaborative, team-oriented scientist who prioritizes shared objectives and communicates effectively across disciplines, with a strong work ethic grounded in scientific rigor, attention to detail, and a commitment to excellence. Preferred Qualifications: • Experience lung biology and immunology is a strong plus., • Advanced proficiency in MATLAB and/or Python for image processing, algorithm development, and large-scale data analysis.

Title: Associate Scientist Location: South San Francisco, CA Duration: 12 months (Possibility of extension) Note: • 100% onsite in South San Francisco, CA., • Flexible scheduling available (typical core hours around 9:00 AM-5:00 PM; earlier schedules such as 7:00 AM-4:00 PM or 6:00 AM-3:00 PM acceptable). Responsibilities • Prepare key tissues and samples for transcriptomic and proteomic assays, • Culture in vitro models including cell lines and organoids for discovery efforts, • Prepare and implement molecular and biological tools for experimental studies, • Contribute to profiling experiments, including transcriptomics, proteomics, imaging, and cytometry-based assays, • Make actionable decisions as a technical expert, • Collaborate closely with other team members on experimental design and execution, • Master's degree strongly preferred. Top 3 Must Have Skill Sets: • Tissue culture, • RNA/DNA molecular biology, • Strong tissue culture experience required., • Molecular biology background required, including RNA/DNA handling., • Flow cytometry experience required., • Experience supporting high-throughput tissue culture environments strongly preferred., • Familiarity with 96-well plate-based assays preferred., • Tissue culture, • RNA purification and processing Red Flags: • 1:1s with 3-4 team members, • Preference for 2 interview rounds (video-based)., • Possible panel/team interview format.

We are seeking a highly motivated Flow Cytometry Specialist to support daily cytometry operations in a fast-paced, shared laboratory environment. This role requires strong technical expertise combined with a service-oriented mindset, as the individual will work closely with scientists to ensure successful experiment execution. The ideal candidate will have hands-on experience with flow cytometry analyzers and cell sorters, including instrument setup, maintenance, troubleshooting, and user support. Reliability and punctuality are critical, as instruments must be operational by ~10:00 AM daily. • Operate and maintain flow cytometry analyzers and cell sorters, • Perform instrument startup and shutdown procedures, • Monitor cell sorting runs and ensure optimal performance, • Conduct routine and monthly maintenance (fluidics, PBS/saline systems), • Clean instruments and manage cytometer waste (up to ~25 lbs), • Troubleshoot clogs and technical instrument issues, • Support analyzer-only cytometers, • Assist scientists in completing experiments successfully, • Provide hands-on user training and technical guidance, • Design and optimize multiparameter panels (conventional & spectral), • Ensure compliance with BSL-2+ safety standards, • Proactively engage with lab users to provide support, • Education:, • Doctorate degree OR, • Master's degree + 2 years of experience OR, • Bachelor's degree + 4 years of experience, • Technical Skills:, • Hands-on experience with flow cytometry, • Cell sorting setup and operation experience, • Experience with analyzers and sorters, • Knowledge of conventional and spectral cytometry, • Basic troubleshooting of cytometry instruments, • Multiparameter panel design experience, • Soft Skills:, • Strong communication and interpersonal skills, • Ability to work in a collaborative, service-based lab environment, • Ability to support multiple users in time-sensitive situations, • Proactive and customer-service-oriented mindset, • Experience with instruments such as:, • BD FACSAria Fusion, • BD FACSymphony, • Cytek Aurora, • Experience training users in a shared-resource lab setting, • Familiarity with BSL-2+ lab environments, • Flow cytometry operation (especially cell sorting), • Experience training users in a shared lab environment (BSL-2+), • Multiparameter panel design (conventional & full-spectrum), • Start up and calibrate cytometers, • Monitor and manage multiple sorting instruments, • Perform quality control and routine maintenance, • Support users with experiment setup and execution, • Train lab users on instrument operation and best practices, • Troubleshoot real-time instrument issues, • Opportunity to work in a cutting-edge cytometry environment, • High exposure to diverse scientific projects and researchers, • Collaborative and dynamic lab setting, • Step 1: Phone Interview, • Step 2: Onsite Interview with Team, • Lack of experience training or supporting others, • Frequent job changes without clear justification, • Inability to explain cytometry concepts clearly, • Weak understanding of spectral vs. conventional cytometry, • Poor punctuality or reliability, • Disinterest in routine/manual lab tasks, • Strong preference for candidates local to South San Francisco (within ~30-45 minute commute), • Role requires consistent onsite presence and morning reliability

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on Frontier Risk Evaluations, you will design and create evaluation measures, harnesses and datasets for measuring the risks posed by frontier AI systems. For example, you might do any or all of the following: • Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;, • Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies., • Experience with red-teaming or adversarial testing of AI systems. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do: • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love, • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners, • Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development, • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we're looking for: • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data, • Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields, • Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn, • A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output, • Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), • Excellent communication skills and ability to explain learnings to both technical and non-technical partners, • A team player who's able to partner with cross-functional leadership to quickly turn insights into actions, • Bachelor's degree in Computer Science, a related field or equivalent experience Relocation Statement: • This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: We are seeking a highly motivated Visiting Scientist (Postdoctoral Researcher) to join our AI Research (AIR) team for a one-year residency. In this role, you will work directly with Dr. Mirela Tulbure during her sabbatical at Planet to develop our proprietary geospatial foundation models (GFMs). While Planet has historically leveraged external models, we are now focused on building in-house models specifically trained on our unique imagery. As a postdoctoral researcher, you will be the primary technical engine behind creating temporally dense embeddings that capture the dynamic and ephemeral nature of our planet-such as rapid flooding and disaster impacts. You will collaborate with "Planeteers" across data pipelines and analytics to bridge the gap between academic research and operational AI/ML solutions. Impact You'll Own: • GFM Implementation: Contribute to the design and training of a foundation model specifically optimized for Planet imagery, focusing on the integration of time-series data., • Technical Benchmarking: Execute the systematic evaluation of existing GFM architectures (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to identify performance bottlenecks and transferability., • Prototype Development: Build and test workflows for detecting short-lived events, such as floods and fires, using high-cadence embeddings., • Multi-Sensor Data Fusion: Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover., • Research to Production: Work closely with Planet's research scientists to transition experimental prototypes into scalable, operational products., • Academic Foundation: A recently completed PhD in Geospatial Analytics, Computer Science, Remote Sensing, or a related field., • Research Track Record: Demonstrated experience in building AI-based models for environmental change or satellite image analysis., • AI/ML Fluency: Hands-on experience with foundation models, contrastive learning, and deep learning frameworks (PyTorch/TensorFlow)., • Advanced Technical Stack: Expert-level Python skills and proficiency with the geospatial scientific stack (e.g., xarray, Dask, Rasterio, GeoPandas)., • Data Engineering Aptitude: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets., • Specialized Domain Knowledge: Prior research in flood-extent mapping, water dynamics, or disaster response., • GFM Fine-Tuning: Direct experience fine-tuning or modifying specific GFM architectures like TerraMind, Prithvi, or Clay. Application Deadline: August 12, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office) The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range$144,500—$180,600 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the ___, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Job Search Feeling Like Guesswork? Applied to 200+ Jobs and Still No Interviews? Applied Everywhere? Still No Interviews or Offers? Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective. That means only the most prepared, polished, and employer‑ready candidates get through.If you’ve sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn’t mean you’re not capable. It usually means your profile isn’t lining up with how companies filter, shortlist, and interview candidates right now. In today’s market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper , sound confident in interviews , and demonstrate hands-on ability in the tools teams actually use. That’s exactly what SynergisticIT solves—because the real challenge isn’t learning in isolation. The real challenge is translating learning into interviews and offers . Since 2010 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair , and many more—often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove . Here’s the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That’s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become “AI experts” overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us You don’t need more random applications. You need a job-ready plan. Start smarter—start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume. A lot of jobseekers assume they must become “AI experts” overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us

Open date: April 10, 2025 Next review date: Sunday, May 31, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Saturday, Oct 10, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. THE DEPARTMENT OF MEDICINE AT THE UNIVERSITY OF CALIFORNIA SAN FRANCISCO (UCSF) is recruiting for the position of Research Scientist in the Division of Geriatrics. The appointment will be made at the level of Assistant, Associate, or Full Adjunct Professor. Candidates should have an MD and/or PhD. Physician candidates should be ABIM certified in Geriatrics and/or Palliative Medicine or ABIM board-eligible for Geriatrics and/or Palliative Medicine by having completed a Geriatrics and/or Palliative Medicine fellowship and have demonstrated competence in the practice and teaching of clinical geriatrics and/or palliative medicine. Candidates also should have demonstrated excellence in patient-oriented research or biology of aging research. Applicants are expected to have extramural funding and/or career development award funding and to ultimately develop an independent research program in aging research. Candidates must also have recognized skills in teaching and mentoring in an academic and scientific based institution. PLEASE APPLY ONLINE AT: . Applicants' materials must list current and/or pending qualifications upon submission. The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5. The minimum base salary range for this position is $127,000-$333,700. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter * Statement of Research (Optional) * Statement of Teaching (Optional) * Misc / Additional (Optional) Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: October 25, 2025 Most recent review date: Monday, Nov 24, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Sunday, Apr 25, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The Department of Radiology and Biomedical Imaging of the University of California, San Francisco is expanding the breadth and depth of its research programs and invites candidates to apply for the position of MR Imaging Scientist. The selected candidate will be appointed at the rank of Assistant, Associate, or Full Professor in the In Residence or Adjunct series, depending on qualifications and interests. Faculty are expected to develop an independent research program of excellence and must be motivated and successful as an independent investigator with a strong focus on ultra-fast, high resolution, quantitative imaging. An interest in Musculoskeletal imaging, focused on Orthopedics and Sports Medicine, in addition to other focus areas, is preferred. Other responsibilities include close interaction with basic scientists and clinical researchers in planning, conducting, and evaluating data. Faculty are required to teach residents, fellows, medical students, and master's students. Candidates must have a PhD, MD/PhD, or equivalent degree in Electrical and Computer Engineering, Biomedical Engineering, Physics or Related Field, and with postgraduate or postdoctoral training and research experience since obtaining their PhD, preferably at least two years combined. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all of the qualifications at the time of appointment. The UCSF Department of Radiology & Biomedical Imaging offers faculty salaries that are highly competitive with the national radiology benchmarks. The University of California provides employees with comprehensive health and retirement benefit packages, in addition to many other benefits. For more information, please visit: The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5. The minimum base salary range for this position is $131,200-$344,400. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation. Please apply online with CV and cover letter at . In the cover letter, please include a brief description of prior teaching and research experience. Document requirements * Cover Letter - In the cover letter, please include a brief description of prior teaching and research experience. * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Statement of Research (Optional) * Statement of Teaching (Optional) As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Job Description Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. * Develop contextualized feature sets using sports specific domain knowledge. * Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online experimentation. * Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. * Adhere to software engineering best practices and contribute to shared code repositories. * Document modeling work and present to stakeholders and other technical and non-technical partners. Requirements: * Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years * Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting * Experience with relational SQL & Python * Experience with source control tools such as GitHub and related CI/CD processes * Experience working in AWS environments etc * Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions * Excellent communication skills to both technical and non-technical audiences Base salary: Starting at $140,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job DescriptionBusiness Development Representative - AI Co-Scientist PlatformPerfect for New Graduates with Biology or Related Science Backgrounds About Mithrl We're accelerating the pace of scientific discovery. Our vision: novel drugs and therapies reaching patients in months, not years. Mithrl has built the world's first commercially available AI Co-Scientist—a discovery engine that transforms messy biological data into actionable insights in minutes. Scientists ask questions in natural language and receive real analysis, novel targets, and patent-ready reports. No coding required. No bioinformatics bottlenecks. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes Why This Role is Perfect for New Science Graduates This is your chance to bridge the gap between cutting-edge science and real-world impact. You'll use your scientific background to communicate with leading researchers while building essential business skills that will accelerate your career. Our BDRs are experiencing some of the fastest pipeline growth and deal velocity in biotech. As a new graduate, you'll get unparalleled exposure to how biotech companies operate, from early-stage startups to Big Pharma R&D teams. You'll initiate conversations with the same caliber of scientists you've studied under, uncovering critical pain points in drug discovery and opening doors to breakthroughs that could lead to life-saving therapies. What You'll Do Core Responsibilities: * Research and identify high-potential biotech and pharma companies (Series A+ biotechs, mid-cap pharma, academic research institutions) * Craft compelling outbound campaigns targeting scientists, bioinformaticians, and R&D leaders—using your scientific background to speak their language * Qualify inbound leads and schedule meetings for our sales and science teams * Collaborate with founders and commercial leadership on messaging optimization and market expansion What We're Looking For Educational Background: * Bachelor's degree in Biology, Biochemistry, Molecular Biology, Genetics, Bioinformatics, or related life sciences field * Master's degree preferred (MS, PhD candidates welcome) Core Skills & Attributes: * Exceptional written and verbal communication skills with ability to translate complex scientific concepts for diverse audiences * Strong research abilities and scientific curiosity * Comfortable with ambiguity and rapid iteration in a startup environment * Active listening skills and ability to identify genuine scientific pain points Mindset: * Intellectual curiosity about the intersection of science, technology, and business * Persistence and resilience—essential for both scientific research and business development * Discipline Wins: Our social currency is consistent hard work. We tackle complex problems that require long-term thinking and daily discipline * Desire to make a meaningful impact on drug discovery and patient outcomes What You'll Gain Professional Growth: * Transform your scientific knowledge into business acumen * Front-row seat to AI transformation in drug discovery * Competitive base salary designed for new graduates * Performance-based commission structure with significant upside potential * Work alongside elite scientists, engineers, and commercial professionals * High-autonomy, results-driven culture that values scientific rigor * Beautiful SF office with in-person collaboration and mentorship

Job DescriptionAbout Marathon Fusion Marathon Fusion is building the engineering technologies needed to scale fusion from breakeven experiments into real power plants. While much of the industry is focused on proving new fusion devices, our focus is on the practical systems that will make fusion deployable at climate-relevant scale. We develop core fuel cycle and plant-level technologies for stable isotope production, fuel cycle closure, and advanced blanket systems that enable both energy generation and high-value co-products. Founded in 2023, Marathon Fusion is building the components and systems that will help fusion become a practical, abundant, and reliable energy source for the 21st century. Culture at Marathon Fusion We are a startup environment characterized by a need for focus, adaptability and prioritization in a shifting landscape. Thriving in this environment requires excellent proactive communication across roles and backgrounds, the ability to build and maintain trust between team members, and the willingness to learn and develop new skills on the job. We place particularly high weight on each team member's ability to be self-directed. About the Role We're looking for a world-class blanket scientist who has contributed directly and substantially to the development of cutting-edge systems. Most likely this means a PhD in Plasma Physics and publications or industry experience on a record-setting reactor. Compensation Cash compensation range is $160,000 - $210,000. All compensation packages for full-time employees include equity ownership in Marathon Fusion. Benefits We offer the following benefits, subject to applicable eligibility requirements: * Medical and dental insurance * Generous paid time off and sick leave * 401(k) plan with 4% employer match * Commuter benefits * Stocked office kitchen Marathon Fusion considers all qualified applicants equally for employment. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Compensation Range: $160K - $210K

Job Description ABOUT MITHRL We envision a world where novel drugs and therapies reach patients in months, not years, accelerating breakthroughs that save lives. Mithrl is building the world’s first commercially available AI Co-Scientist—a discovery engine that empowers life science teams to go from messy biological data to novel insights in minutes. Scientists ask questions in natural language, and Mithrl answers with real analysis, novel targets, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. WHAT YOU WILL DO Build and own an AI-powered ingestion & normalization pipeline to import data from a wide variety of sources — unprocessed Excel/CSV uploads, lab and instrument exports, as well as processed data from internal pipelines. Develop robust schema mapping, coercion, and conversion logic (think: units normalization, metadata standardization, variable-name harmonization, vendor-instrument quirks, plate-reader formats, reference-genome or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data-engineering tools to structure “semi-structured” or messy tabular data — extracting metadata, inferring column roles/types, cleaning free-text headers, fixing inconsistencies, and preparing final clean datasets. Ensure all transformations that should only happen once (normalization, coercion, batch-correction) execute during ingestion — so downstream analytics / the AI “Co-Scientist” always works with clean, canonical data. Build validation, verification, and quality-control layers to catch ambiguous, inconsistent, or corrupt data before it enters the platform. Collaborate with product teams, data science / bioinformatics colleagues, and infrastructure engineers to define and enforce data standards, and ensure pipeline outputs integrate cleanly into downstream analysis and storage systems. WHAT YOU BRING Must-have * 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data. * Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar). * Excellent experience dealing with messy Excel / CSV / spreadsheet-style data — inconsistent headers, multiple sheets, mixed formats, free-text fields — and normalizing it into clean structures. * Comfort designing and maintaining robust ETL/ELT pipelines, ideally for scientific or lab-derived data. * Ability to combine classical data engineering with LLM-powered data normalization / metadata extraction / cleaning. * Strong desire and ability to own the ingestion & normalization layer end-to-end — from raw upload → final clean dataset — with an eye for maintainability, reproducibility, and scalability. * Good communication skills; able to collaborate across teams (product, bioinformatics, infra) and translate real-world messy data problems into robust engineering solutions. Nice-to-have * Familiarity with scientific data types and “modalities” (e.g. plate-readers, genomics metadata, time-series, batch-info, instrumentation outputs). * Experience with workflow orchestration tools (e.g. Nextflow, Prefect, Airflow, Dagster), or building pipeline abstractions. * Experience with cloud infrastructure and data storage (AWS S3, data lakes/warehouses, database schemas) to support multi-tenant ingestion. * Past exposure to LLM-based data transformation or cleansing agents — building or integrating tools that clean or structure messy data automatically. * Any background in computational biology / lab-data / bioinformatics is a bonus — though not required. WHAT YOU WILL LOVE AT MITHRL * Mission-driven impact: you’ll be the gatekeeper of data quality — ensuring that all scientific data entering Mithrl becomes clean, consistent, and analysis-ready. You’ll have outsized influence over the reliability and trustworthiness of our entire data + AI stack. * High ownership & autonomy: this role is yours to shape. You decide how ingestion works, define the standards, build the pipelines. You’ll work closely with our product, data science, and infrastructure teams — shaping how data is ingested, stored, and exposed to end users or AI agents. * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $150K - $200K

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description Position overview: Biotherapeutics and Genetic Medicine (BGM) sits within AbbVie’s Discovery Research organization and supports discovery and optimization across biotherapeutic and genetic medicine modalities, including monoclonal antibodies, multispecifics, proteins, conjugates, AAV, LNPs, and siRNA. The Principal Data Architect will shape the cloud-native data foundation that enables predictive and generative AI/ML solutions in discovery scientist workflows. This role owns the architecture, adoption, and continuous improvement of a scalable data platform that connects laboratory data across dozens of assays, supports machine learning development and deployment, and improves how scientific data is used across the organization. The position reports to the Head of AI/ML in BGM and serves as a trusted advisor to senior leadership. This is a technical leadership role on the individual contributor track, with potential to expand into people management in the future. It requires close partnership with wet lab scientists, ML engineers, software engineers, data engineers, automation teams, and data governance partners. The role is central to building a robust, resilient, and scalable data foundation for BGM’s AI/ML strategy. Responsibilities: • Define and drive the architecture for a scalable, cloud-native data platform that supports AbbVie’s AI/ML strategy in BGM., • Design data models and integration patterns that connect datasets generated across multiple lab groups and establish certified datasets for downstream scientific, operational, and machine learning use., • Partner with wet lab scientists and automation engineers to maximize the value of data captured through lab automation workflows., • Work with data scientists and deployment engineers to ensure data pipelines support both model development and production deployment., • Advance FAIR data practices and data stewardship in alignment with BGM strategic priorities., • Champion connected data, data-as-a-product, and cloud-first architecture principles across the organization., • Partner with data infrastructure and governance experts to ensure data policies are implemented effectively., • Align BGM data infrastructure initiatives with broader AbbVie efforts such as Convergence and ARCH., • Communicate platform impact through user stories, metrics, and KPIs that show the value of the data platform to AbbVie’s therapeutic program pipeline. Qualifications, • MS with 14+ years’ or PhD with 8+ years’ experience in machine learning, computer science, applied mathematics, data science, computational biology, or a closely related field., • 6+ years of experience in data architecture after completion of graduate studies, with a track record of designing enterprise data platforms, • Graduate degree in computer science, data science, computational biology, computational chemistry, computational biophysics, or a related field., • Experience designing enterprise data platforms., • Strong technical skills in data modeling, data integration, data storage solutions, data pipelines, and AI/ML integration., • Production programming experience in SQL, Python, or Java., • Experience building cloud data infrastructure on AWS, Azure, or GCP., • Ability to work across wet lab and dry lab scientific workflows., • Experience collaborating across functions and building stakeholder alignment., • Strong communication and interpersonal skills., • Ability to apply data governance principles in day-to-day decision-making., • Experience leading cross-functional technical teams across reporting lines and multiplying their impact through best practices., • Hybrid role based in Worcester, MA, South San Francisco, CA or Cambridge, MA., • On-site presence required 3 days per week. Relocation is available., • This is an individual contributor role. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future., • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description A Bit About Us: We're Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and engage with the broader scientific community. The Opportunity: Arcadia is studying biology with evolution as our guide. Our tools, methods, and frameworks probe the tree of life to identify innovations, novelties, and organisms that accelerate our basic and translational research. We're seeking a scientist with deep experience in protein evolution to substantially expand our platform. The Platform Scientist will be part of a collaborative team developing approaches to investigate protein evolution in an integrative way, considering amino acid sequences, protein structures, and protein functional variation. Scientists in this role will develop novel approaches to map and predict protein biology over macroevolutionary timescales. These contributions will be instrumental in developing new tools, validating existing tools, testing novel hypotheses, identifying knowledge and dataset gaps, and driving the creation of new computational approaches for studying protein evolution at Arcadia. Top candidates are inventive scientists with deep experience addressing evolutionary questions related to protein characteristics to unlock novel insights. They're excited to explore new and challenging datasets, familiar with developing novel analysis pipelines, and thrive in collaborative, open research environments. Enthusiasm and participation in open science are also required as we routinely share our findings via our open-source pubs. Key Responsibilities: * Produce and analyse workflows to interrogate and integrate protein information across non-model clades. * Identify existing data gaps and help develop strategies to address these to better capture and study protein variation across scales. * Develop approaches to infer evolutionary shifts in protein composition, structure, and function over time. * Conceptualize and prototype novel computational tools using protein information to expand Arcadia’s organism and target selection capabilities. * Troubleshoot computational challenges independently and creatively. * Collaborate with cross-disciplinary teams to validate computational tools, contribute to shared research goals, and accelerate broader scientific efforts. * Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work. Qualifications: * Ph.D. or equivalent experience in Evolutionary Biology, Molecular Biology, Computational Biology, or a related field. * At least 1 year of full-time relevant scientific experience post-PhD. * Demonstrated expertise in analyzing protein features across biological e.g., amino acid sequence, protein structure, protein function, and evolutionary scales. * Demonstrated expertise in the inference of evolutionary processes. * Comfort working with data from non-model organisms and ideally across clades. * Experience with a range of computational biology approaches, including the analysis of genomic data, phylogenetics, and protein structures (experience with protein structural inference, and/or protein language models is a plus). * Familiarity with data analysis using tools like Python or R. * Ability to align with the team to achieve organization-wide goals and organize effective collaborations. * An excellent verbal and written science communicator for both general and technical audiences. Successful applicants can expect to be compensated between $130,000-$180,000 with benefits and a competitive equity offering, depending on experience level. The position will require the individual to be on-site at our Emeryville, California headquarters. Application Process: Interested applicants should send a resume and a one-page cover letter that address their interest and qualifications for the position. When applying, be sure to answer all questions found within the online portal. Arcadia Science is an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work. Please note that an offer of employment from Arcadia is contingent upon the successful clearance of a reference and background check.

Job Description Cameron-Cole is searching for an Environmental Specialist/Technician (CG02) to join our team. The ideal candidate will have core competencies in health & safety, policies and procedures, attention to detail, and utilization. With direct supervision of senior staff, the Environmental Specialist performs environmental field sampling including collection of groundwater samples from monitor wells, collection of surface and subsurface soil samples, and assist with data analysis and development of presentations. Candidates with an academic or professional background in geology or engineering are strongly preferred due to upcoming project needs. This role will be out of our Alameda, CA office. This position will report to a Project Manager. This is a Full-Time in-office position. This role is an evergreen position, meaning we are always looking for talented individuals to join our team. Applications for this position are continuously accepted and reviewed on a rolling basis. Compensation: $23.00 - $32.00 We offer competitive salaries based on experience, education, and location. We have robust benefits with opportunities for personal and professional development for qualified employees. Want to work in a collaborative, creative work environment where you can provide meaningful contributions while being challenged to grow on the job? If so, you are encouraged to apply! Compensation and Benefits Example: Full-time, regular employee - Escalating PTO schedule and up to 10 company holidays • Full health care package:, • Up to 100% employer-paid employee medical and 55% eligible dependent coverage*, • 80% employer-paid dental and vision, • Employer-paid Life and AD&D insurance, • Short- and Long-term Disability insurance, • Employee Assistance & Wellness Program, • 401k & Roth with a 6% discretionary match Duties and Responsibilities • Collect soil and groundwater samples for laboratory analysis while accurately following identified SOPs, field sampling plans, and Cameron-Cole guidelines and procedures, • Calibrate & Decontaminate field equipment, including handling potentially hazardous waste, • Review lab analytical reports for accuracy and tabulate environmental data, • Develop site maps of groundwater contour and chemical iso concentration, • Assist with the preparation of draft reports and presentations, including tables, chart's and graphs assemble approved reports for distribution, • All other duties as assignedEducation and Experience, • Higher education in Engineering, Geology preferred, • 40-hour OSHA HAZWOPER, • Valid Driver’s License, • early career opportunity for professional consulting experience in Site Assessment, Characterization, and Remediation The position will be exposed to all weather conditions and terrain. The position requires working outdoors and travel to and from project sites. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear; have hand/finger dexterity; and reach with hands and arms. The employee will spend extended periods of time in front of a computer/laptop. Specific vision abilities required by this job include close vision, distance vision, and ability to adjust focus. Completing field monitoring surveys requires the physical endurance to walk over a variety of terrains and in a variety of weather conditions, including extreme heat, while caring equipment and/or a pack. Additional physical requirements for the position include the ability to bend and kneel for long periods of time, lift at least 15 lbs. and walk/hike sometimes multiple miles per day. Information Security Adhering to all policies, guidelines, and procedures pertaining to the protection of information of the organization, employees must maintain confidentiality of all sensitive information to which they are given access. They are also responsible for reporting actual or suspected events or incidents, including vulnerabilities or breaches, that may affect the confidentiality, integrity, and availability of information to members of the Management Team. Mutual respect is fundamental. Fundamental to our teams. Fundamental to our clients. Fundamental to the communities we serve and live in. Fundamental to the landscapes we work within. We need you and your unique talents, history, and background to become the Company we aspire to be. We insist upon a culture of common respect, expect transparency, and celebrate the fundamental value and dignity of all individuals. Our mutual equality as humans is the path to innovative collaboration. We cultivate integrity, driving us to growth, and allowing us to achieve more together than we could ever hope to as individuals.

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content. Key responsibilities: * Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity * Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content * Design and conduct rigorous experiments to validate new ideas and evaluate model performance * Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences * Contribute to the research community through high-quality publications and open-source contributions * Mentor junior researchers and foster a culture of innovation within the research team * Work closely with product teams to align research directions with user needs and market opportunities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models * Extensive experience implementing and optimizing large-scale generative models for image or video tasks * Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Proven ability to work collaboratively in a team environment * Ideal candidate will have: * Postdoctoral or industrial research experience in generative AI for video * Hands-on experience with text-to-video generation projects * Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video * Experience working with large-scale datasets and distributed computing environments * Track record of successful collaboration with product teams on technology transfers * Familiarity with video codecs, compression techniques, and perceptual quality metrics * Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Job Description Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is hiring Basketball Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. We're hiring a Data Scientist to support our Sports Data Models Duties: * Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. * Develop contextualized feature sets using sports specific domain knowledge. * Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online experimentation. * Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. * Adhere to software engineering best practices and contribute to shared code repositories. * Document modeling work and present to stakeholders and other technical and non-technical partners. Requirements: * Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred * Demonstrated experience developing models at production scale for Basketball or sports betting * Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting * Experience with relational SQL & Python * Experience with source control tools such as GitHub and related CI/CD processes * Experience working in AWS environments etc * Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions * Excellent communication skills to both technical and non-technical audiences Base salary: Starting at $130,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job Description Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients. Job Description Swish Analytics is looking for a Tennis Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products. * Develop contextualized feature sets using sports specific domain knowledge. * Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models. * Strive to constantly improve model performance using insights from rigorous offline and online experimentation. * Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts. * Adhere to software engineering best practices and contribute to shared code repositories. * Document modeling work and present to stakeholders and other technical and non-technical partners. Requirements: * Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ years * Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods * 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting * Experience with relational SQL & Python * Experience with source control tools such as GitHub and related CI/CD processes * Experience working in AWS environments etc * Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions * Excellent communication skills to both technical and non-technical audiences Base salary: $135,000 - $190,000 Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

Job DescriptionJoin the Sleep Fitness Movement At Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it. The Role We’re seeking a Data Scientist to join our Data & Analytics team within the Growth organization. This isn't a typical analyst role - you'll be the lead growth data scientist at Eight Sleep, owning complex forecasting challenges that directly impact our supply chain, marketing spend, and business growth. The ideal candidate has deep experience with time series forecasting, experimentation design, and translating ambiguous business problems into data-driven solutions. What You'll Build * Advanced demand forecasting models to solve our biggest operational challenge: eliminating stock-outs during peak periods (Black Friday, holidays) while avoiding overcommitting capital on inventory * Marketing spend optimization algorithms that go beyond our current Prophet model, incorporating seasonality, macro trends, and cross-channel effects to improve our CAC targeting * Experimentation frameworks for incrementality testing across our marketing channels (Meta, Google, YouTube) with proper statistical rigor * Marketing attribution models that handle our complex customer journey and multi-touch attribution challenges What You'll Need to Succeed * 5+ years of data science experience with demonstrable impact on business-critical forecasting and optimization problems * Forecasting expertise - you've built production models that handle seasonality, growth trends, and external factors. Bonus points if you've worked with Prophet and know its limitations * Strong experimentation background - you can design proper A/B tests, understand incrementality measurement, and have experience with marketing mix modeling * Advanced Python/R skills plus expert SQL - you'll be building production pipelines and complex models, not just ad-hoc analysis * High ownership mentality - comfortable with ambiguous problems and 60+ hour weeks during critical periods. This is a startup where your work directly impacts our trajectory * Business acumen - you can translate between technical solutions and business stakeholders (Growth, Finance, Operations teams) * Strong written and verbal communication - you can translate complex findings into actionable insights. Your written and verbal communication skills are excellent * High sense of agency - you are an independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility We will hire for this role anywhere in the US, but working hours will be EST. Note: Employees approved for remote work must perform their duties from a single, company-approved based location #LI-Remote Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with*: * Full access to health, vision, and dental insurance for you and your dependents * Supplemental life insurance * Flexible PTO * Commuter benefits to ease your daily commute * Paid parental leave *List of benefits may vary depending on your location

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply. You will...- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. - Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points:- Previous experience in self-driving technology. - Experience in shipping machine learning features/models into production.- Proven track record of mentoring junior researchers or engineers.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Data Scientist San Francisco, CA Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time. We integrate with all major US healthcare IT systems and tap into comprehensive medical data for 300+ million individuals. We've found product-market fit with multi-million ARR, 100+ customers (including Amazon One Medical, Strive Health, Circle Medical, and Brightside Health), backing from top VCs, and years of runway. We're ready to scale. We're a tight-knit, high-performing team of mostly former founders (including two YC alumni). We're engineering-heavy, operate with minimal bureaucracy and high autonomy, and hire based on competence, not prestige. We push hard—founders work six days a week from our SF office—but give everyone freedom to craft their schedule. We measure output and we're committed to sustainable intensity. About You We're looking for a data scientist who thrives in ambiguity and cares as much about getting the fundamentals right as building the next model. At Metriport, you won't be handed a clean dataset and a well-scoped problem — you'll be building the data foundation alongside our engineering team while applying science to some of the messiest, most impactful data in healthcare. * You're entrepreneurial-minded, with an olympian-level work ethic. * You are obsessed with data integrity. If a metric is off by 1%, it keeps you up at night until you find the root cause. * You believe that high-quality clinical data is the bedrock of excellent healthcare, and you're excited to work at the intersection of ML and patient records. * You have a strong sense of ownership and the ability to lead cross-functional initiatives with minimal direction. * You care about impact over sophistication. You'd rather ship a logistic regression that changes a workflow than a transformer that lives in a notebook. * You're excited to go wide. In a small team, the best data scientist is also a great analyst — and you see that as a feature, not a compromise. * You're a hacker at heart, and you're comfortable writing production-grade code to get the job done. What You'll Be Doing After quickly ramping up on our clinical data domain, your goal is to be the person who owns clinical intelligence within Metriport's stack — turning massive volumes of clinical records into predictions, insights, and automated decisions. Day to day, this looks like: * Applying AI/ML to Clinical Data: Building and deploying models to predict patient outcomes, identify gaps in care, or surface anomalies across our data warehouse. * Normalizing Clinical Data at Scale: Using NLP, LLMs, or rule-based systems to transform messy, unstructured clinical records into structured, searchable, trustworthy data. * Owning Analytics When It Matters: You'll share ownership of our analytics stack and data quality alongside the team. When a customer needs an accurate report or the team needs a reliable metric, you're just as accountable as anyone. * Productizing Intelligence: Designing and shipping data-science-powered features as core parts of the Metriport platform — not just internal experiments, but things customers use. * Building the Data Foundation: Contributing to data modeling, warehouse design, and tooling (dbt, DWHs, PostHog, etc.) as we scale our data infrastructure. Science without solid foundations is noise. * Team alignment: Participating in a daily 30-minute remote standup at 7:30 AM PST Mon–Fri (our only regular mandatory meeting). Requirements * 4+ years of experience in a data science role, ideally at a high-growth or startup company where you wore multiple hats. * SQL mastery: You can write complex, performant queries in your sleep. * ML/statistical modeling: Practical experience building and deploying models (classification, regression, clustering, NLP) — not just prototyping. * Coding proficiency: Strong in Python (pandas, scikit-learn, and ideally some experience with LLM APIs or frameworks). TypeScript proficiency is a plus — our stack is TypeScript-heavy. * Analytical chops: You're comfortable owning dashboards, data quality, and ad-hoc analysis. You see this as part of the job, not beneath it. * Location: San Francisco / Bay Area (or willing to relocate). Nice to Have * Experience with healthcare data is strongly preferred — FHIR, HL7, or clinical data. Understanding how a patient moves through the healthcare system is the core of what we do. * Experience with data modeling tools (dbt or similar) and product analytics platforms (PostHog, Mixpanel, Amplitude). * Experience integrating models into backend services or APIs (not just notebooks). Benefits * Competitive equity + compensation package 🚀 * Full family Platinum health insurance, dental, and vision coverage 🦷 * 401(k) retirement plan + matching 💰 * Flexible work from home or in-office 🏢 * Healthy lunches are complimentary when working in-office (and breakfast + dinners as needed) 🍏 * Quarterly company off-sites with the team ⛷️ * MacBook provided by us 💻 * Unlimited PTO (we work hard, but trust you to take time you need to be at your best) 🧘️‍♂️ Our tech Our data lives in PostgreSQL, DynamoDB, S3, Snowflake, and a FHIR server. We use dbt for transformations and Posthog for product analytics. Our infrastructure is managed via AWS CDK, and our core platform is written in TypeScript and Python. We are looking for a generalist who can jump into any part of this stack to extract value. Metriport provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Compensation Range: $160K - $190K

Job DescriptionIrvine Clinical Research, a research site specializing in late phase CNS clinical trials, is seeking applicants for a Clinical Scientist in our enrollment core. The clinical scientist will work on prescreening and screening potential candidates for outpatient Phase II/III clinical trials in Neurology and Psychiatry. Study participants are generally adults with concerns about memory (e.g. MCI and Early-Mild AD), although our site also conducts research on drugs to treat depression and other illnesses.Job Duties • Assess potential and returning study participants using clinical judgement as well as psychological, neurological, and psychiatric clinical rating scales, • Conduct clinical interviews to collect psychological/medical information and to effectively screen potential participants for appropriate research opportunities at our centers, • Educate participants about the potential benefits and risks of our clinical trials through the informed consent process and outreach events, • Communicate with investigators, coordinators, and study teams about participants, • Assist with scientific initiatives, study operations, and participant enrollment as neededJob Requirements, • MA/MS/MSW/PhD/PsyD in psychology, neuroscience, or related field, • Experience with cognitive assessments and/or experience working with older adults with memory concerns, Mild Cognitive Impairment, or Early/Mild/Moderate Alzheimer’s Disease, • A command of professional spoken and written EnglishThe starting salary for this position is approximately $85,000 per year. Higher salary is negotiable with candidates who have experience with Psychometrician / Psychological Rater experience in pharmaceutical clinical trials. This is a full-time employment position based in-person at one of our clinics. The company pays for 100% of health/dental/vision individual insurance costs for eligible full-time employees. Vacation (PTO) is earned at a rate of 3 weeks per year.

Job Description OPPORTUNITY Mammoth Biosciences seeks an experienced Senior Clinical Scientist to advance pre-clinical research into clinical trials. This role encompasses both tactical and strategic responsibilities, including the design and execution of clinical trials, as well as meticulous monitoring of data for accuracy and integrity to ensure regulatory compliance. The incumbent will collaborate closely with the medical monitor, operations team, CRO partner, and study sites to ensure an efficient recruitment and follow-up of subjects in accordance with study protocols. Reporting to the VP, Clinical Development, the Senior Clinical Scientist will be responsible for the compilation and analysis of study data for various internal and external reports, as well as for key meetings. KEY RESPONSIBILITIES * Trial Design and Execution: participate in protocol development, develop study CRFs, ICFs and databases * Data Analyses and Monitoring: monitor clinical trial data for accuracy and integrity * Compliance: ensure all study activities adhere to regulatory and ethical guidelines * Collaboration: act as a bridge between medical monitor, operations, CRO and study sites to ensure efficient communications, subject recruitment and trial management * Reports: write study reports, plans, and make data presentations for internal and external meetings * Other duties as assigned REQUIRED QUALIFICATIONS * Master’s degree/PharmD/PhD in a relevant life science field * Minimum of 5 years experience in the pharmaceutical or biotechnology industry, with at least 2 years experience in clinical science/clinical development * Demonstrated experience in the design, execution, and reporting of global Phase 1-3 clinical trials * Strong proficiency in data analysis, interpretation of clinical trial results, and presenting data * Deep knowledge of Good Clinical Practice (GCP), ICH guidelines, and global regulatory requirements for clinical trials (FDA, EMA, etc.) * Excellent verbal, written, and presentation skills with proven ability to communicate with multiple stakeholders * Ability to travel internationally for site visits as needed PREFERRED QUALIFICATIONS * Experience managing or directly overseeing clinical monitoring and data management processes * Prior experience in a clinical scientist role within a high-growth, fast-paced biotechnology environment * Demonstrated success in leading cross-functional teams and managing external partners (CROs) * Strong collaborator with strategic planning and independent problem-solving skills * Experienced in patient safety guidelines * Knowledgeable about clinical trial ethics and regulatory standards * Strong follow-up skills * Ability to manage multiple conflicting priorities BENEFITS * Company-paid health/vision/dental benefits * Unlimited vacation and generous sick time * Company-sponsored meals and snacks * Wellness, caregiver and ergonomics benefits * 401(k) with company matching Actual base salary will be determined by relevant professional experience, applicable skills, and internal equity. COMPANY Mammoth Biosciences is a biotechnology company focused on leveraging its proprietary ultracompact CRISPR systems to develop long-term curative therapies, as well as other applications such as decentralized precision diagnostics. Founded by CRISPR pioneer and Nobel laureate Jennifer Doudna and Trevor Martin, Janice Chen, and Lucas Harrington, the company’s ultracompact proteins are designed to enable in vivo gene editing in difficult to reach tissues utilizing both nuclease applications and new editing modalities beyond double stranded breaks, including base editing, gene writing, and epigenetic editing. The company is building out its pipeline of potential in vivo gene editing therapeutics and capabilities and has partnerships with leading pharmaceutical and biotechnology companies to broaden the reach of its innovative and proprietary technology. Mammoth’s deep science and industry experience, along with a robust and differentiated intellectual property portfolio, have enabled the company to further its mission to transform the lives of patients and deliver on the full promise of CRISPR technologies. It is our policy and intent to provide equal opportunity to all persons without regard to race, color, religion, political affiliation, sex/gender (including gender expression/identity, pregnancy, childbirth and related medical conditions), marital status, registered domestic partner status, sexual orientation, age, ancestry, national origin, veteran status, disability, medical condition, genetic characteristics, and/or any other basis protected by law. This policy covers all facets of employment including, but not limited to: recruitment, selection, placement, promotions, transfers, demotions, terminations, training, and compensation. Mammoth Biosciences requires that all employees be vaccinated against COVID as a condition of at-will employment, with exceptions for medical or religious reasons in compliance with local, state, and federal law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Septerna is a biotechnology company based in South San Francisco, CA on a mission to develop life-changing medicines for patients with the vision to become the industry-leading G protein-coupled receptor (GPCR)-focused drug discovery company. The company's Native Complex Platform™ recapitulates GPCRs with their native structure, function, and dynamics outside of the cellular context. This approach enables novel access to modern structural and screening technologies used in industrial-scale drug discovery for the entire class of GPCRs. Septerna has an emerging pipeline of GPCR-targeted small molecule programs with potential for growth to target many GPCRs that have been undruggable and unexploited to date. We are excited to expand our multidisciplinary team of individuals focused on creating revolutionary medicines to address the unmet needs of patients. At Septerna we strive to embrace diversity of thought, expertise, and background through collaboration. To join our ambitious team, be prepared to bring your real self to work every day; grow and learn from a talented team of drug hunters, scientists, and business professionals; and contribute your passion, creativity, and energy to accomplish our mission. We share a fearless pursuit of ground-breaking innovations and cultivate an environment where our employees succeed by learning from each other and working as a team. We are committed to the development of meaningful therapeutics for patients with indications of high unmet need. This is a tremendous opportunity to work with talented individuals on the frontlines of therapeutic discovery and development. You will directly help move therapies through preclinical research, positioning them for success in the clinic. The successful candidate will add their passion, unique talents, and expertise to a dynamic team motivated to discover new disease-modifying therapeutics for patients in a fast-paced environment. For more information see: . THE ROLE We are seeking an experienced Staff Scientist with expertise in formulation development to support our small molecule pipeline. They will ensure that fit for purpose formulations are used for nonclinical in vivo studies. They will design, execute, manage, and analyze studies to develop and deliver formulations that support nonclinical DMPK, pharmacology, and toxicology studies. They may also support the development of clinical formulations. This position reports to the Director of Pharmaceutical Development is an onsite position requiring in-person collaboration with cross-functional teams. Responsibilities • Develop early formulation strategies and serve as an SME to deliver fit-for-purpose formulations supporting PK, PD, efficacy, and safety preclinical studies through discovery to candidate selection across research programs., • Design, manage, and execute early formulation screening studies to enable high-quality in vivo data, including solubility assessments, excipient compatibility, enabling approaches, and stability., • Implement early formulation development and preparation workflows, tools, templates, and best practices internally and in partnership with CDMOs/CROs to support preclinical studies., • Represent early formulation on cross-functional research teams, presenting data and recommendations to ensure aligned and timely support., • Author and review technical documents to support early formulation activities and preclinical studies, including development reports and study protocols., • A PhD, MS, or BS in Pharmaceutics, Pharmaceutical Sciences, Chemical Engineering, or a related field with a minimum of 6 years, 10 years, or 12 years, respectively, of relevant industry experience in small molecule formulation development., • Demonstrated success delivering formulation strategies to support preclinical research studies using data-driven, risk‑based strategies., • Experience in small molecule formulation development across multiple routes of administration, including powders, solid dosage forms, solutions, suspensions, nanoparticles, and lipid‑based systems., • Hands-on experience with analytical techniques to support small molecule formulation development, including UPLC/HPLC and solid-state characterization techniques (e.g., particle size analysis, DSC, DVS, PLM, and XRPD)., • Working knowledge and practical application of current industry and compendial standards and regulatory authority guidance and expectations, including ICH, FDA, MHRA, and EMA guidelines and USP-NF, Ph. Eur, BP, and JP compendia., • Ability to manage and collaborate with external partners, including consultants and CDMOs/CROs., • Excellent interpersonal and communication skills (written and oral) with the ability to effectively prepare high-quality technical documentation and concisely present data to peers, management, and external groups., • Exhibited strong organizational and critical thinking skills with an attention to detail and data integrity enabling sound, technically driven decision making. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Note to Employment Agencies: Please do not forward any agency resumes. The company will not be responsible for any fees related to resumes that are unsolicited. Note to Employment Agencies: Please do not forward any agency resumes. The company will not be responsible for any fees related to resumes that are unsolicited. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Septerna participates in the E-Verify program. California Consumer Privacy Act Privacy Notice For Job Applicants. If you are a California resident, click here for our CCPA Notice.

Job Description R&D Partners is seeking to hire a Scientist I in South San Francisco, CA. Your main responsibilities as a Scientist I: · Study Management: Contribute to outsourcing PK study design, monitoring, and execution. · Laboratory Support: Perform lab-related activities including dose material preparation and possible sample/tissue preparation (note – this is a very minor component of the role) · Data Analysis & Informatics: Conduct PK data analysis and maintain/update departmental databases. · Coding & Reporting: Utilize coding techniques to streamline data entry, perform statistical analysis, and generate study reports. · Communication: Actively participate in department interactions and deliver department presentations regarding study findings. What we are looking for in a Scientist I: · A BS or MS degree in Biological and/or data science or similar. · Experience: 1–2 years of hands-on preclinical R&D experience preferred, preferably within a biotech or pharmaceutical setting. · Technical Knowledge: Basic understanding of animal physiology and cell culture. · Data & Coding: Strong proficiency in data analysis and the ability to apply coding techniques to manage large datasets is preferred. · Experience with database entry and management. Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: • Medical insurance – PPO, HMO &, • Dental & Vision insurance, • 401k plan, • Employee Assistance Program, • Long-term disability, • Weekly payroll, • Expense reimbursement, • Online timecard approval Pay Scale: $74,817 – $99,673 Dependent on Experience) R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer. Company DescriptionR&D Partners is a national staffing firm focused in the areas of: Scientific, Clinical Research and Engineering. Our team offers well over 200 years of combined staffing experience providing consulting, direct hire & outsourcing solutions with our west coast offices in San Francisco, Redwood City and San Diego, CA and our east coast offices located in Harrisburg, PA and Tampa, FL. The cornerstone of our success: a knowledgeable and experienced recruiting team. Our life sciences recruiters, clinical research recruiters and engineering recruiters are uniquely specialized. After a detailed assessment of our clients’ needs, we can then identify appropriate candidates utilizing our established network of professionals. R&D Partners takes a proactive approach to recruiting, establishing relationships with experienced passive candidates so when the time is right, we can combine our candidates’ talents with our clients’ opportunities.R&D Partners is a national staffing firm focused in the areas of: Scientific, Clinical Research and Engineering. Our team offers well over 200 years of combined staffing experience providing consulting, direct hire & outsourcing solutions with our west coast offices in San Francisco, Redwood City and San Diego, CA and our east coast offices located in Harrisburg, PA and Tampa, FL.\n\nThe cornerstone of our success: a knowledgeable and experienced recruiting team.\n\nOur life sciences recruiters, clinical research recruiters and engineering recruiters are uniquely specialized. After a detailed assessment of our clients’ needs, we can then identify appropriate candidates utilizing our established network of professionals. R&D Partners takes a proactive approach to recruiting, establishing relationships with experienced passive candidates so when the time is right, we can combine our candidates’ talents with our clients’ opportunities.

Job Description R&D Partners is seeking to hire an Oligonucleotide Scientist II in South San Francisco, CA. Your main responsibilities as an Oligonucleotide Scientist II: · The candidate will work in an oligonucleotide therapeutic drug discovery research lab and interface across different therapeutic areas, including neuroscience, immunology and oncology, to help build a comprehensive therapeutic discovery strategy. · Good understanding and also troubleshooting experience in oligonucleotide synthesis, impurity profiling is a plus. · Collaborate with other scientists to maintain common lab equipment such as oligo synthesizers, HPLC and desalting units. · Perform literature reviews, propose, and execute nucleic acid chemistry plans, coordinate chemistry and biology data to support oligonucleotide compoundprogression. · Establish methods for scaled-up synthesis of lead molecules and coordinate material delivery for preclinical studies. What we are looking for in an Oligonucleotide Scientist II: · The candidate must have hands-on experience in oligonucleotide synthesis using automated oligo synthesizers, novel nucleic acid chemistry, oligonucleotide purification and characterization using HPLC and mass spectrometry. · The qualified individual will possess a BS/MS in Organic Chemistry or related discipline. · The pharmaceutical or biotechnology industry experience in research and development of RNAi therapeutics is preferred. · A good understanding of nucleic acid therapeutic modalities, modification chemistries, sequence selection, and mechanism of action is preferred. · Relevant experience in oligonucleotide therapeutics, large molecule drug discovery, oligonucleotide delivery or bio-conjugation is desirable. Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: • Medical insurance – PPO, HMO &, • Dental & Vision insurance, • 401k plan, • Employee Assistance Program, • Long-term disability, • Weekly payroll, • Expense reimbursement, • Online timecard approval Pay Scale: $68,224– $95,333 Dependent on Experience) R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer. Company DescriptionR&D Partners is a national staffing firm focused in the areas of: Scientific, Clinical Research and Engineering. Our team offers well over 200 years of combined staffing experience providing consulting, direct hire & outsourcing solutions with our west coast offices in San Francisco, Redwood City and San Diego, CA and our east coast offices located in Harrisburg, PA and Tampa, FL. The cornerstone of our success: a knowledgeable and experienced recruiting team. Our life sciences recruiters, clinical research recruiters and engineering recruiters are uniquely specialized. After a detailed assessment of our clients’ needs, we can then identify appropriate candidates utilizing our established network of professionals. R&D Partners takes a proactive approach to recruiting, establishing relationships with experienced passive candidates so when the time is right, we can combine our candidates’ talents with our clients’ opportunities.R&D Partners is a national staffing firm focused in the areas of: Scientific, Clinical Research and Engineering. Our team offers well over 200 years of combined staffing experience providing consulting, direct hire & outsourcing solutions with our west coast offices in San Francisco, Redwood City and San Diego, CA and our east coast offices located in Harrisburg, PA and Tampa, FL.\r\n\r\nThe cornerstone of our success: a knowledgeable and experienced recruiting team.\r\n\r\nOur life sciences recruiters, clinical research recruiters and engineering recruiters are uniquely specialized. After a detailed assessment of our clients’ needs, we can then identify appropriate candidates utilizing our established network of professionals. R&D Partners takes a proactive approach to recruiting, establishing relationships with experienced passive candidates so when the time is right, we can combine our candidates’ talents with our clients’ opportunities.

Job DescriptionCompany Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. Job Description Genetic, Environmental, and Occupational Toxicology (GEO Tox) is a diverse team of scientists with the goals of supporting patient, environmental, and employee safety. The candidate will complete risk assessments supporting occupational, environmental, manufacturing, and regulatory filings. The position will support programs across AbbVie’s therapeutic areas and involve a broad range of modalities across all stages from early discovery throughout development to marketed products. We are seeking an experienced toxicologist with a risk assessment background to join our team in Development Sciences, Pre-clinical Safety. This is an onsite role based out of the South San Francisco, CA location. Responsibilities: • Critically evaluate literature and toxicology reports/summaries and utilize tools such as read-across and in silico data to generate toxicology product risk assessments. This includes toxicology support for extractables and leachables, health-based exposure limits (HBELs) including permitted daily exposure limits (PDEs) and occupational exposure limits (OELs), environmental risk assessments (ERA), and other contaminants., • Successful collaboration with multi-functional teams to align on safety banding for implementation throughout the company., • Engage in related external working groups to help drive industry standards and stay informed of upcoming regulations., • Provide guidance and mentorship to junior team members in GEO Tox and adjacent departments., • Plan and monitor studies at contract research organizations (CROs) for environmental assessments to support regulatory filings., • Plan and monitor studies at contract research organizations (CROs) for worker safety studies to occupational safety and handling., • Support evaluation/implementation of relevant new approach methodologies (NAM), • Provide technical support for occupational health (hazard) categorizations and chemical registrations, including Globally Harmonized System of Classification and Labelling of Chemicals GHS/CLP, and Safety Data Sheets (SDS).Qualifications, • Sr. Scientist II Qualifications: Bachelor’s Degree in toxicology or related discipline and typically 12 years of experience OR Master’s Degree in toxicology or related discipline and typically 10 years of experience OR PhD in toxicology or related discipline and typically 4 years of experience., • Proven record of successfully evaluating safety risks, • Excellent collaboration, multi-tasking, and communication skills, • Excellent oral and written communication and attention to detail, • Occupational Exposure Banding, Performance-based exposure control limits, or evaluating toxicity data for Safety Data Sheets, • Risk assessment authoring, • In depth knowledge and experience with regulatory guidance, i.e., ICHQ3C, ICHQ3D, ICHQ3E, ICHM7, ISO-10993-X, • Toxicity data mining in databases and literature, • Broad range of software proficiency as well as in silico predictive tools for toxicity, i.e., QSAR, OECD, • Board-certification preferred but not required Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Role overview: We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values. Key responsibilities: * Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent * Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models * Develop robust evaluation frameworks to measure model alignment, safety, and output quality * Create and optimize data collection pipelines for human feedback and preferences * Design and conduct experiments to validate alignment techniques and their scaling properties * Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline * Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment * Mentor junior researchers and foster a culture of responsible AI development * Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities Qualifications: * Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field * Must have: * Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models * Extensive experience implementing and optimizing large-scale training pipelines using PyTorch * Deep understanding of reinforcement learning techniques, particularly RLHF * Experience with distributed training systems and large-scale experiments * Proven track record in designing and implementing robust evaluation frameworks * Excellent communication skills with the ability to explain complex technical concepts to diverse audiences * Strong software engineering skills and experience with complex shared codebases * Ideal candidate will have: * Experience with diffusion models or other generative architectures * Background in fine-tuning large language models or generative models * Experience working with human feedback data collection and annotation pipelines * Strong aesthetic sense and understanding of video quality assessment * Familiarity with alignment techniques such as constitutional AI or debate * Track record of successful collaboration with product teams * Experience with perceptual quality metrics and human evaluation design * Contributions to open-source projects in AI alignment or generative AI Additional Information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. We are looking for a passionate and strategic Senior Product Manager, Growth - Performance Marketing to lead one of our most important acquisition channels on the Growth team. Each month, the Growth team helps over 600M people around the world find their inspiration on Pinterest. You'll fully own the vision, strategy and execution for Pinterest's paid growth channels, driving efficient and scalable user acquisition. Reporting to the Group Product Manager (Growth Acquisition), you'll lead high-impact initiatives from ideation through delivery. You'll partner closely with Engineering, Data Science and Marketing to build and ship a roadmap of bold changes in service of creating a best-in-class user experience for current and future Pinners. You'll tackle challenging, complex problems at scale and your work will help bring the inspiration and joy of Pinterest to more people around the world, more efficiently than ever before. What you'll do: • Lead the product vision, strategy, and execution for performance marketing, owning outcomes for scalable, efficient growth across paid channels., • Drive clarity, alignment, and prioritization across a broad crossfunctional team in an ambiguous, complex product area with substantial impact on topline growth. Influence senior stakeholders and contribute to long-term strategy for acquisition., • Partner closely with Marketing, Engineering, and Data Science to build and evolve the core systems, experimentation, measurement infrastructure, and optimization tools that improve how we plan, execute, and scale paid marketing., • Leverage strong analytical skills to dig into data, identify the highestimpact opportunities in the paid marketing lifecycle, and help the organization make better, faster, and more confident investment decisions. What we're looking for: • Demonstrated success in product management at fast-growing companies., • Strong technical background (or prior work experience as a software engineer/data scientist) that lets you dive deep into data and complex technical problems alongside your engineering team., • Working knowledge of performance marketing mechanics (e.g., attribution, incrementality testing, bidding and budgeting, targeting, and funnel measurement)., • Strong analytical skills to define product strategy and drive decision making., • Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication., • Prior experience with machine learning, recommendation systems, or generative AI a plus., • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-REX At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found ___. US based applicants only$139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

Open date: March 26, 2025 Most recent review date: Monday, Apr 27, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Saturday, Sep 26, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Bapat Lab - Specialist in an Immunology, Metabolism, and Genomic Editing Lab at the University of California, San Francisco (UCSF) The Bapat Lab is seeking a scientist to help anchor a small lab pursuing research that seeks to understand how shifts in systemic and cellular metabolism affect immune responses, specifically focusing on T cells. It is anticipated that the successful candidate will have proven experience in a broad range of techniques commonly used in immunology research, which includes fluency with flow cytometry, mouse husbandry/colony management, cell culture, basic molecular biology and biochemistry techniques (e.g. transfections, cloning viral expression vectors, western blots), and a willingness to learn and become adept in new techniques in the areas of DNA cloning/sequencing, viral transduction, and advanced microscopy among others. The expectation will be that this individual will be able to pursue a scientific line of inquiry via direct experimentation and intellectual contribution. This individual should have proven experience in setting up experiments with proper controls, acquiring and analyzing data, and synthesizing the data into actionable next steps. This individual will perform key tasks related to lab management and administration including purchasing/ordering supplies required for experiments for the lab, ensuring lab safety, animal, and other protocols are in good order, and working with lab members to solve other administrative tasks as they come up. This individual will report to the lab head, but a proven ability to work and make decisions independently, with regards to research projects and lab management is desired. Required Qualifications: • Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) or at least four years of relevant research experience., • Specialists appointed at the Assistant rank must possess a Master's degree (or equivalent degree) or baccalaureate degree with three or more years of research experience., • Specialist appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of experience in the relevant specialization., • Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of experience in the relevant specialization., • Research experience in Biology, Molecular Biology, Immunology, Genomics, Metabolism, or related scientific field., • Strong writing skills with experience designing/formatting figures for presentations and publication., • Excellent and demonstrated verbal and written communication skills., • Ability to multi-task and prioritize with superior organizational skills., • Exposure to handling/manipulating mice for experimental work, • Exposure to CRISPR-based genetic engineering techniques, T cell biology, experiments involving metabolism, and next-generation sequencing, • Exposure to manipulation of mammalian cells via viral transduction, • Desire to attend research seminars and engage intellectually in the rich academic research community See Table 24B for the salary range for this position. A reasonable estimate for this position is $53,100-$188,200. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter (Optional) * Misc / Additional (Optional) As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: February 5, 2025 Most recent review date: Thursday, Apr 30, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Wednesday, Aug 5, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Assistant/Associate/ Full Specialist on Bioinformatics/ Computational Biology study selective vulnerability in human neurodegenerative diseases Job Summary We are seeking a Bioinformatician to join a multidisciplinary lab focused on neurodegenerative disease. The ideal candidate will bring a strong background in bioinformatics, computer science, or computational biology, as well as general experience in the life sciences. Working with neuropathologists, neurologists, and neuroscientists, the candidate will help design and implement analyses of high dimensional data (e.g., [single-cell] RNA sequencing, genotype or WGS data, proteomics, digital pathology, etc.) from human brain tissue, utilizing bioinformatics tools and databases to reach biologically meaningful insights. Successful candidates should be scientifically motivated self-starters, comfortable working in a highly productive academic environment, and keen on modeling biological processes using rich datasets. This position presents an outstanding training experience for a computational/bioinformatics scientist seeking to break into the neurodegenerative disease field. Neurodegenerative conditions, including Alzheimer's disease and frontotemporal lobar degeneration, selectively target specific neuronal subpopulations, making the identification of molecular signatures of these vulnerable populations imperative for developing new treatments. The appointment will be with the Seeley Lab, which is part of the Memory and Aging Center at UCSF. Required Qualifications: • Assistant Specialist - Master's degree or a baccalaureate degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related field with three or more years of research experience., • Associate Specialist - Master's degree (or equivalent degree) in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related field or five to ten years of experience in the relevant experience., • Full Specialist - terminal degree (or equivalent degree) in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related field or ten or more years of experience in the relevant experience., • Strong experience with pipeline development, bioinformatic tools, and data management, and demonstrated competence in programming languages such as R or Python for bioinformatics analyses., • MS or PhD degree For other inquiries, please contact: . See Table 24B for the salary range for this position. A reasonable estimate for this position is $61,300-$188,200. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter - letter of interest * Misc / Additional (Optional) Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: August 4, 2025 Most recent review date: Friday, Dec 5, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Thursday, Feb 4, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Junior Specialist Position - University of California, San Francisco The Department of Radiation Oncology at UCSF, in the laboratory of Dr. Anwar, is seeking a highly motivated scientist for a Junior Specialist position running imaging studies across in vitro and in vivo systems. This role is ideal for individuals who are passionate about advancing cancer imaging research. Position Overview: The Specialist will assist in the testing of cancer imaging platforms developed in the Anwar Lab. We are looking for an organized, reliable individual to organize and execute imaging experiments, coordinate with vendors, graduate students/post-docs/lab members, and staff in the preclinical therapeutics cord. These experiments will include testing of imaging devices, microscopy, and conducting animal students. Specialist will collaborate with other lab members, actively participate in lab meetings, and handle additional assigned tasks. The responsibilities will also include performing data analyses and preparing presentations for lab meetings. Preparation of manuscripts is encouraged. We aim to provide valuable experience to prepare candidates for future career growth. Required Qualifications: • BS or BA in materials science or electrical engineering or physics., • Laboratory experience; preferred: Experience in microfabrication., • Proficiency working with PC Board level electronics., • Strong written and verbal communication skills. Key Responsibilities: • Maintain detailed records and documentation of experiments and data., • Collect, analyze, and present results to the research team., • Perform testing of imaging platforms and manage in vitro and small animal imaging studies., • Collaborate effectively with other lab members to ensure project progress and organization. See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000-$58,600. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter * Statement of Research (Optional) * Statement of Teaching (Optional) Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

The Department of Surgery, Division of Surgical Oncology, University of California, San Francisco (UCSF) is seeking outstanding candidates for a full-time academic colorectal surgeon to be the Section Chief of Colorectal Surgery and Associate/Full Professor of Surgery. The Opportunity * Summary of the ideal candidate: Triple threat; a great scientist, a great surgeon, and a great educator. * Reporting to Ajay Maker, MD, Chief for the Division of Surgical Oncology, the Section Chief of Colorectal Surgery leads all clinical, academic, research, and administrative activities in the Section of Colorectal Surgery. This includes leading a team of nationally recognized surgeons and healthcare professionals, promoting innovative surgical techniques, advancing research in malignant and benign colorectal surgery, and providing exceptional patient care. The selected candidate will also collaborate with other departments and divisions to promote interdisciplinary approaches to patient care, research, and education. * Primary Location: UCSF Medical Center at Mission Bay. * This role represents a blend of both Administrative and Clinical/Surgical responsibly. Critical Candidate Credentials & Experiences * Board Certified. * American Board of General Surgery and have completed a fellowship in Colon and Rectal Surgery. * or * Complex General Surgical Oncology with a dedicated fellowship in colorectal surgery. * History of achievement with all the following: * Program development (strategic growth). * Program leadership (administrative oversight of personnel & facilities). * National reputation and rigor for clinical excellence and scholarship in colorectal disease, including prominent publication. * Research interest, with record of productivity. * Academic interest, with record of achievement. Why UCSF Diverse Clinical Opportunities: We provide compassionate and effective Surgical and Oncological treatment across San Francisco, Oakland, and Northern California. Our experts are dedicated to providing outstanding care for all ages and social groups. Leadership & Growth: Ideal for candidates who aspire to influence program development, quality improvement, and hold administrative roles that shape the future of care at UCSF. Academic Excellence: Collaborate with world-class researchers and educators in a vibrant academic environment dedicated to innovation and compassionate care. Our department is nationally recognized for its many outstanding educational programs in medical school, residency programs and clinical fellowships, research fellowships, and continuing medical education. What We Offer * Faculty appointment in the UCSF School of Medicine (rank and step commensurate with experience). * Competitive compensation and UC benefits, including pension and health coverage. * Access to premier facilities, cutting-edge technologies, and UCSFs integrated health system. * A culture of innovation, teamwork, and academic excellence. * Opportunities to grow in leadership, education, and research. Why Live & Work in the San Francisco Bay Area A Physicians Perspective Living in the Bay Area means being part of one of the most dynamic and collaborative medical communities in the country. Whether you're rounding at UCSF Parnassus, working in Mission Bays biotech corridor, or practicing in the East Bay or Peninsula, youre surrounded by institutions that value innovation, equity, and excellence in care. Parnassus offers a quiet, residential vibe with leafy streets and historic homes nestled near Golden Gate Park. Mission Bay is sleek and forward-looking a hub for clinical research, startups, and interdisciplinary collaboration. Across the Bay Area, youll find neighborhoods that match your lifestyle, whether thats walkable and serene or urban and energetic. But life here isnt just about medicine. The Bay Area is rich in culture from the symphony and ballet to street festivals, galleries, and live music. You can grab Burmese noodles in Oakland, fresh oysters in Marin, or dim sum in the Richmond. The diversity of the region shows up in its food, its people, and its stories. Nature is never far. You can hike Mount Tam, bike the Bay Trail, surf at Pacifica, or simply unwind in Golden Gate Park. Whether youve got a free afternoon or just 30 minutes between shifts, theres always a way to recharge outdoors. Transit is efficient and flexible. BART, Caltrain, Muni, ferries, and bike paths connect the region, making it easy to live where you want and still get where you need to be. Whether youre commuting to clinic, heading to a conference, or catching a flight, the Bay Area makes it work. Most importantly, theres a sense of purpose and community. Youre not just another physician in a big city youre part of a network of people who care deeply about their work, their patients, and each other. Thats what makes practicing here special. Compensation The posted UC salary scales set the minimum pay determined by rank and step at appointment. See [Table 5] (). The minimum base salary range for this position is $190,600 - $405,900. This position includes membership in the [health sciences compensation plan] () which provides for eligibility for additional compensation. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. Misconduct means any violation of the policies or laws governing conduct at the applicants previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. UC Sexual Violence and Sexual Harassment Policy: UC Anti-Discrimination Policy: APM - 035: Affirmative Action and Nondiscrimination in Employment: Compensation Information: $190600.00 / Annually - $405900.00 / Annually

Open date: March 9, 2026 Next review date: Monday, Jun 1, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee. Final date: Thursday, Sep 9, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Women's Reproductive Health Research Scholar Position PHYSICIAN SCIENTIST, Women's Reproductive Health Research Scholar DEPARTMENT OF OBSTETRICS, GYNECOLOGY AND REPRODUCTIVE SCIENCES UNIVERSITY OF CALIFORNIA The Department of Obstetrics, Gynecology, and Reproductive Sciences at the University of California, San Francisco (UCSF) is recruiting a Physician Scientist Scholar for our UCSF Women's Reproductive Health Research (WRHR) K12 Career Development Program. This position is for an obstetrician-gynecologist committed to becoming an independent clinical, translational, and/or basic science researcher in women's reproductive health. It includes 2- to 5-years of intensive mentored research combined with patient care. Click here to see potential focus areas and mentors. Successful candidates will have experience formulating and conducting research studies, publishing manuscripts, and in some cases, applying for funding with a focus on women's reproductive health. Appointed WRHR Scholars will be expected to formulate and conduct research studies, publish manuscripts, and apply for independent funding that is focused on women's reproductive health. Required Qualifications: Applicants must be planning an academic career and: • Be a physician holding a M.D. or D.O. degree, • Have completed or be in the final year of postgraduate residency training in obstetrics-gynecology, • Have completed or be in the final year of postdoctoral fellowship training in obstetrics and gynecology, if the candidate has chosen to subspecialize, or in the final year of advanced training in clinical research, • Identify mentors with extensive research experience, • If selected, be able to devote at least 75% effort to conducting research and research career development Click Here to Apply Online with the following application materials: 1. Cover letter, 2. Curriculum vitae, 3. Application, which includes the following sections: Overview of candidate (0.5 page); Track record to include previous training, accomplishments/productivity to include presentations and publications (0.5 page); Research plan with specific aims (2 pages); Proposed training plan to include mentors (0.5 pages); and Career potential (0.5 pages). Click here to see a full description of these application components., 4. Statement of Teaching, 5. Statement of Research, 6. 2 letters of recommendation, at least one of which should be from a faculty member who has direct knowledge of your research track record Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all of the qualifications at the time of appointment. Document requirements * Cover Letter * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Application, which includes the following sections: - Overview of candidate (0.5 page); Track record to include previous training, accomplishments/productivity to include presentations and publications (0.5 page); Research plan with specific aims (2 pages); Proposed training plan to include mentors (0.5 pages); and Career potential (0.5 pages). Click here to see a full description of these application components. * Statement of Teaching * Statement of Research Reference requirements As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Provides services of both a technical and non-technical nature in the laboratory service areas. Performs routine and complex laboratory tests in the cytogenetics department of the clinical laboratory to provide physicians with rapid and accurate laboratory test results. Tests include conventional cytogenetics and advanced technology testing, for example microarray testing. Some of the duties include: analysis of microarray data, processing of specimens in the laboratory; performance of waived, moderate, and highly complex analytical process; ability to recognize human chromosome banding patterns; manual dexterity to use common laboratory equipment and perform sterile techniques as required; establishing, performing and documenting quality assurance, quality control and equipment maintenance; recognizing problems and identifying causes; developing alternatives and determining solutions; confirming and verifying results through an in-depth knowledge of techniques, principles, and instruments; correlating and interpreting data based on knowledge of factors affecting test results; initial, harvest, stain, microscopically analyze, photograph, print, karyotype and summarize analyses on cytogenetics specimens; data handling and input; answering the telephone; other duties as assigned. The employee is expected to work efficiently and should be able to determine the most effective use of time, such as overlapping procedures, organizing an individual work schedule, and setting priorities in order to meet required turnaround times (TAT) for case completion. He/she should also determine, according to established guidelines, proper methods necessary for specimen processing and analysis. A new employee must accomplish the following tasks within the six-month probationary period or within the first six months from hiring date, if a probationary period does not apply. The following described performance standards are expected of all employees hired at this level. Attaining these performance standards will require instruction from the supervisor and/or persons designated by the supervisor and initiative by the employee. In addition, the employee must adhere to all UCSF Medical Center and departmental policies. Percentage of Time Spent Specimen Log-in and Accessioning 5% Enter all incoming cytogenetic (including array) samples on TC logbooks and spreadsheet which will provide section accurate records of receipt and sample conditions. Label specimens, reagents and worksheets with required information in a legible and neat manner with ink pen. Specimen Processing, Maintenance and Harvest 35% Achieve good chromosome growth by setting up all cytogenetics samples including amniotic fluids, chorionic villi, and products of conceptions, peripheral blood, bone cores and bone marrows according to established written lab protocols. Perform chromosome harvest, slide making and banding according to lab protocols. Maintain a clean and neat work area. Replenishes supplies and prepares reagents as needed. Process array samples; perform hybridization procedures and fluorescent microscopy. Send-outs 5% Provide outside referral labs with correct sample requirements and paperwork by proper communication with the send-out department and section supervisor. General QC and Media Preparation 5% Provide accurate results by proper preventive maintenance of equipment and handling of reagents used in the section. Validate new lot and ensure new reagents pass QC before use. Accurate monitoring the supply of chemicals and reagent preparation is required. Correctly makes dilutions following the dilution protocol for the assay. Assist with receiving of media or supply, unpacking, and storage of reagents and supplies. Notify a supervisor whenever results of assays on QC are out-of-range. Troubleshoot issues as assigned. Cytogenetics Data Analysis and interpretation 50% Analyze, digitize, and karyotype chromosome spreads (including fluorescent microscopy) and analyze microarray data. Interpret results and generate cytogenetics preliminary reports including FISH and microarray reports. Summarize case studies using proper ISCN nomenclature. Perform workups according to lab protocols. Never alters patient test results in any way after they have been released to the LIS except through accepted procedure with documentation. Report abnormal results, as indicated in the procedures to supervisor and/or resident in a timely manner (if designated by supervisor). Legibly record the results on worksheets in ink. OTHER FUNCTIONS AND RESPONSIBILITIES The followings are incorporated into each of the tasks listed above. CLS specialists are expected to perform all the above procedures assigned to the shift in an accurate and efficient manner. Learn to perform any new procedure within a reasonable time frame. Perform procedures in a manner, which does not deviate from the step-by-step procedure write-up. Any deviation from the procedure must be reviewed with a supervisor. Complete test procedures and transmit results in the laboratory computer system within established turn-around times (TATs). Monitor TAT for incomplete cases and follow up to ensure testing is performed and completed. Check sample arrivals in pending log. Record malfunction and corrective action in service logbooks. Notify supervisor and/or bench staff via email of pending service calls. Document malfunction in appropriate log sheets. Be responsible for procedural updates by reviewing procedures in master control in a timely manner, checking posted and emailed updates, and by reading and initialing all meeting notes. Communicate across shifts in regard to patient and instrument problems, and pending tests. Follows Hand Off Procedure. Complete required training and competency assessments within the assigned time frames. Apply proper PPE (include wearing buttoned lab coat and gloves) and precautions when handling patient samples for protection from health hazards. Refrain from smoking, drinking, or eating in and around work areas. Take full responsibility for errors when committed, notify required personnel and completes appropriate documentation. Integrate assigned tasks in order to complete the assignments by the end of the work shift. Accept a reasonable increase in the workload when necessary or assigned by a supervisor. Perform special procedures or projects when added to routine procedure run or when assigned separately. Assist in the training of new CLS Specialists, trainees and students. Assist coworkers when own tasks are completed. Assist with answering phone calls or in-lab inquiries. Maintains a respectful and professional attitude at all times. Report laboratory problems to supervisor including errors, injuries and/or variances from standard procedure. Specific percentage of duties will be based on daily workload and lab staffing. Perform other duties as assigned by the Sr. Supervisor or General Supervisor. Required Qualifications: • Previous experience in a fast-paced clinical laboratory setting (minimum 1yr), • Basic computer skills (Word, Excel - 0-1yrs), • 1 yr. recent experience as a CLS or Cytogeneticist in a clinical laboratory or Graduation from a CA-approved Clinical Laboratory or Cytogenetics training program., • Familiarity with laboratory quality assessment and quality control, • Must be willing to handle biohazards specimens Preferred Qualifications: • Microarray experience, FISH or COG experience Requied Licenses/Certification: Required Qualifications: • Previous experience in a fast-paced clinical laboratory setting (minimum 1yr), • Basic computer skills (Word, Excel - 0-1yrs), • 1 yr. recent experience as a CLS or Cytogeneticist in a clinical laboratory or Graduation from a CA-approved Clinical Laboratory or Cytogenetics training program., • Familiarity with laboratory quality assessment and quality control, • Must be willing to handle biohazards specimens Preferred Qualifications: • Microarray experience, FISH or COG experience Requied Licenses/Certification: • California licensure as a Clinical Laboratory Scientist (CLS) or limited CA licensure as Clinical Cytogeneticist Scientist (CCS)

Open date: October 6, 2025 Most recent review date: Wednesday, Nov 5, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday, Apr 6, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Retina Clinician-Scientist The Department of Ophthalmology at the University of California, San Francisco is seeking a Retina Clinician-Scientist to fill a full-time faculty position who will be appointed at the Assistant, Associate or Full Professor Level. In addition to research, the candidate will provide retina clinical services at one or more of our multiple Bay Area clinical sites, and participate in medical student, resident, and fellow education. Requirements: The successful candidate is required to develop or advance an internationally recognized, independent and extramurally funded research program in the basic, translational, or clinical sciences relevant to vitreoretinal disease. Candidates must hold an MD or equivalent degree and have a CA medical license or be eligible for full, unrestricted licensure, and have completed fellowship training in medical or surgical retina. Applicant must have all requirements met by time of hire. Applicant's materials must list (pending) qualifications upon submission. Demonstrated teaching competency as well as demonstrated success in clinical, translational, or laboratory research are essential. We encourage applications from junior clinician-scientists who are eager to pursue mentored research training supported by an NEI K12 (), K08 or K23 Award, or a VA Career Development Award (). Please apply online with a Curriculum Vitae, Cover Letter, Statement of Research, Statement of Teaching, and the contact information of three references at . The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5: . The minimum base salary range for this position is$140,600 - $369,000. The total negotiated salary for this position will include another component at the time of hire. This position includes membership in the health sciences compensation plan () which provides for eligibility for additional compensation. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter * Statement of Research * Statement of Teaching Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: March 31, 2026 Most recent review date: Thursday, Apr 30, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Thursday, Sep 30, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. The Department of Biochemistry and Biophysics is seeking a Scientist for a full-time faculty position. The selected candidate will be appointed to the rank of Associate or Full Professor in the Adjunct series depending on qualifications and interests. Faculty in the Adjunct series are individuals who are predominately engaged in research or other creative work and who participate in teaching, or individuals who contribute primarily to teaching have a limited responsibility for research or other creative work; these individuals may be professional practitioners of appropriate distinction. The individual will be responsible for mentorship and guidance of early career faculty and/or Fellows, as well strategic guidance of internal grant making programs. Appointees within this series also engage in University and public service consistent with their assignments. Required Qualifications: • PhD or PhD/MD, with at least 20 years of post-graduate academic, nonprofit, and/or industrial experience in biomedical sciences, with a strong record of academic mentorship, interdisciplinary research team building, grant program design, implementation, and scientific review., • Must have held one or more positions with at least two or more direct reports., • Experience with funding initiatives for early career scientists and physician scientists, including grant and publication tracking, support, and guidance, as well as IP disclosure guidance, and scientific career advancement. Please click here to apply with a cover letter, CV and contact information for two references. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all of the qualifications at the time of appointment. Document requirements * Cover Letter * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Statement of Research (Optional) * Statement of Teaching (Optional) Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: March 13, 2026 Most recent review date: Friday, Apr 17, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Monday, Sep 13, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Process Development Scientist The Department of Laboratory Medicine at the University of California, San Francisco(UCSF) is seeking a motivated Process Development Scientist to join our Investigational Cellular Therapy (ICT) group. The ICT program aims to accelerate the development and delivery of promising new cell and gene therapies targeting cancer, autoimmunity, infectious disease, and inherited hematologic and immune disorders. ICT has established collaborations with UCSF research groups and a variety of academic and industrial partners to develop new cell and gene therapy technologies, platforms, and products. The successful candidate will lead cellular engineering activities within a highly skilled process development team and collaborate closely with partner functions such as pre-clinical research, GMP manufacturing, analytical development, quality control, quality assurance, operations/facilities, and regulatory affairs to advance pipeline programs. Key Responsibilities: • Design and execute complex process development efforts using genomic and epigenomic engineering tools and platforms., • Analyze, interpret, organize, and present data to internal and external groups in clear and concise manner., • Author and review experimental proposals, SOPs, and technical reports for scientific publications and regulatory filings., • Ensure data integrity, maintain laboratory record and prepare protocols and reports in a GMP-compliant manner., • Work closely with internal and external partners to support technology transfers and implementation of new process technologies., • Collaborate with and participate in teams to facilitate IND-enabling studies., • Participate in GMP manufacturing campaigns for in-house products. This position will occasionally involve long hours and some weekends and holidays. Scientific independence and attention to detail are critical to success in this position. The candidate will have the opportunity to contribute to scientific publications. Required Qualifications: • For Associate Specialists - A Master's degree (or equivalent degree) in Immunology, Biological Sciences, Biomedical Engineering, or related field or five to ten years of relevant experience is required., • For Full Specialist - A PhD (or equivalent degree) in Immunology, Biological Sciences, Biomedical Engineering, or related field or ten or more years of relevant experience is required., • Working knowledge of basic scientific principles and methods in order to independently design and perform experiments of moderate scope and complexity., • Hands-on experience with aseptic tissue culture techniques and flow cytometry., • Experience with genome editing techniques (e.g. CRISPR/Cas9 editing, base editing, prime editing, etc.), • Experience working with GMP-compatible or automated cell processing platforms and equipment (e.g., electroporation systems, closed-system cell processing devices, automated cell culture or cell washing platforms)., • Organizational abilities and decision-making to prioritize work assignments., • Effective written and verbal communication skills with internal and external collaborators., • Ability to work in a collaborative manner, to assist in identifying any challenges or barriers. Preferred Qualifications: • Familiarity with Design of Experiments (DoE) approaches for process optimization., • Experience working in regulated environments supporting IND-enabling studies, process qualification, or clinical manufacturing., • Experience with analytical methods such as flow cytometry, ddPCR/qPCR, or next-generation sequencing for characterization of edited cells. Applicants must apply online with a CV, cover letter, and the contact information of 3 references. Applicants' materials must list pending qualifications. Candidates must have required qualifications by time of hire. See Table 24B for the salary range for this position. A reasonable estimate for this position is $75,600 - $194,800. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Job Locations US-CA-San Francisco ID 2026-19106 Job Function Sales Bruker is one of the world's leading analytical instrumentation companies enabling scientist to make breakthrough discoveries and develop new applications that improve the quality of human life. Our high-performance products and high-value life science and diagnostic solutions are trusted by leading businesses, institutes, and scientists worldwide. Today, more than 8,500 employees at over 90 locations are working on this permanent challenge to make the world a better place. Bruker Spatial Biology, a division of Bruker Corporation, provides industry-leading spatial biology, genomics, proteomics, and cellular analysis solutions consisting of instruments, assays, software, and services to empower life sciences researchers around the world. Bruker Spatial Biology is comprised of the former Nanostring, Canopy Biosciences, and Berkely Lights product offerings. Essential Functions: Establish relationships with current and new accounts that achieve assigned sales quotas including monthly and quarterly targets. • Drive the entire capital equipment sales cycle from initial customer engagement to closed sales including pilot projects., • Prospect for potential customers using various direct methods such as calling and face to face meetings, and indirect methods such as networking and partnering with Field Application Scientists and other sales roles., • Qualify prospects against company criteria for ideal customers and sales stage gating., • Consult with prospect about business challenges and requirements, as well as the range of options and value proposition of each., • Maintain a high level of relevant domain knowledge related to the Spatial Biology platforms to have meaningful conversations with prospects., • Identify and present to key decision makers including senior executives and managers., • Work with technical support and marketing product specialists where required to address customer requirements., • Develop and maintain territory plans with marketing and the applications team, which outline how sales targets will be met on an ongoing basis., • Develop and maintain account plans that identify opportunities for company to deliver value, strategic motivators, main stakeholders, buying processes and forecasted sales., • Highly effective CRM management including detailed notes on prospect and customer interactions and funnel management to enable forecasts on best case and most likely sales revenue for current and next quarter., • MS or BS in Molecular Biology, Biochemistry or related field, • A strong understanding and familiarity with Spatial genomics and proteomics technologies is strongly preferred, • A minimum of 5 or more years of field experience with a proven track record of success selling capital equipment and consumables., • Excellent communication skills, as well as a pre-existing knowledge of the life sciences market and accounts in the territory preferred., • Ability to create and deliver highly effective presentations., • Strong working knowledge of the sales process (quoting, purchasing, revenue recognition) as well as a good understanding of the Miller Heiman selling process and terminology required., • Highly self-motivated with a desire to participate in the growth and success of the commercial team., • Effective organizational and administration skills including CRM and process documentation experience with a focus on accuracy and efficiency., • Exceptional communication skills, both verbal and written., • Excellent time management and project management skills., • An ability to travel 50%- 75% of the time (territory dependent). At Bruker, base salary is part of our total compensation. The estimated base salary range for this full-time position is between $91,000 and $162,000 provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on a several job-related factors, including, but not limited to education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more. Bruker is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions #LI-RM1

Perform laboratory functions that support solid organ and blood & marrow transplant programs. Functions include on-call responsibilities for the deceased donor transplant programs; perform infectious disease testing; data entry of patient and sample information into various systems, prepare cell subsets; isolate DNA; HLA type by various methods; crossmatch by flow cytometry method; test and identify HLA antibodies; chimerism monitoring and other HLA-related tests; assist in managing samples (store, retrieve, and aliquot samples); perform quality control and routine maintenance of various laboratory equipment; analyze and report laboratory data; order supplies, repairs, and other services; answer phones and perform other duties as assigned. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $69.50 - $86.57 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ___ Required Qualifications: • Graduation from college with a major in an appropriate scientific field, possession of a clinical laboratory Scientist's license or a similar license of equal or higher level issued by the California Department of Health; and knowledge and abilities essential to the successful performance of duties assigned to the position., • Current California Clinical Laboratory Scientist (CLS) Generalist or Clinical Histocompatibility Scientist license., • Relevant laboratory experience and/or a degree in life science or related course., • Must be able to perform on-call duties including reporting to the laboratory within an hour of notice or call., • Must be able to work variable shifts as required by laboratory operations including weekends, nights, and early mornings., • Accurate and be able to process multiple samples without switches., • Be able to work with personal computers., • Must be effective as a member of a team., • Proven record of being reliable and be able to multi-task., • Must be able to work independently with minimum supervision., • Proficient in communication and interpersonal skills to communicate effectively, both verbally and in writing., • Tidy and orderly. Preferred Qualifications: • Advance degree (Masters or doctorate) in a relevant field (e.g., immunology, blood banking, and biochemistry)., • Experience with QC/QA/QS in a clinical laboratory setting. Required Qualifications: • Graduation from college with a major in an appropriate scientific field, possession of a clinical laboratory Scientist's license or a similar license of equal or higher level issued by the California Department of Health; and knowledge and abilities essential to the successful performance of duties assigned to the position., • Current California Clinical Laboratory Scientist (CLS) Generalist or Clinical Histocompatibility Scientist license., • Relevant laboratory experience and/or a degree in life science or related course., • Must be able to perform on-call duties including reporting to the laboratory within an hour of notice or call., • Must be able to work variable shifts as required by laboratory operations including weekends, nights, and early mornings., • Accurate and be able to process multiple samples without switches., • Be able to work with personal computers., • Must be effective as a member of a team., • Proven record of being reliable and be able to multi-task., • Must be able to work independently with minimum supervision., • Proficient in communication and interpersonal skills to communicate effectively, both verbally and in writing., • Tidy and orderly. Preferred Qualifications: • Advance degree (Masters or doctorate) in a relevant field (e.g., immunology, blood banking, and biochemistry)., • Experience with QC/QA/QS in a clinical laboratory setting., • Working knowledge of antigens and genetics of the HLA system and be able to interpret results correctly.

Open date: January 14, 2026 Most recent review date: Wednesday, Apr 8, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Wednesday, Jul 14, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Assistant/Associate Professor of Surgery - Vascular Surgeon Division of Vascular and Endovascular Surgery Department of Surgery University of California, San Francisco The Department of Surgery, Division of Vascular and Endovascular Surgery at the University of California, San Francisco, is seeking outstanding candidates for a full-time, academic surgeon to provide clinical care and to develop a productive research program. Candidates must be board-certified or board-eligible in Vascular Surgery by the time of hire. Applicants must have completed an accredited vascular surgery fellowship or integrated residency program by the time of hire. Candidates must be well-trained in both open and endovascular interventions. Applicants' materials must list current, eligible, and/or pending qualifications upon submission. The successful candidate will develop a nationally recognized research program in vascular disease prevention or treatment, which may be basic, translational, clinical, or health services in nature. This is an outstanding opportunity for an aspiring surgeon-scientist to develop an academic career, targeting recent graduates or early career faculty. Clinical responsibilities include a primary role staffing the clinical vascular service at the San Francisco Veterans Administration Medical Center (SFVAMC) and participating in the divisional call schedule that includes weekday/weekend coverage across campuses. Adequate protected time and support will be provided for the development of an independently funded research program, dependent on the candidate's specific goals and qualifications. Candidates must have recognized skills in the education of surgery residents and medical students and will be expected to be active participants in the Department's undergraduate and graduate level educational programs, including providing scheduled lectures as part of the division's didactic educational programs. The UCSF Division of Vascular and Endovascular Surgery provides comprehensive, state-of-the-art care for patients with vascular disorders including peripheral artery disease, aortic aneurysm/dissection, carotid artery disease, hemodialysis access and venous disease. Faculty treat a diverse population of patients at the main UCSF campus, the SFVAMC, several affiliated hospitals, and outreach clinics across the Bay Area. Our division is noted for its longstanding research and training programs that have broadly impacted the specialty. UC San Francisco seeks candidates whose experience, teaching, research, and community services that have prepared them to contribute to our commitment to excellence. The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5. The minimum base salary range for this position is $154,700 - $240,500. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter * Statement of Research * Statement of Teaching Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: November 4, 2025 Most recent review date: Sunday, Jan 4, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday, May 4, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Faculty Position Director, Benioff Initiative in Prostate Cancer Research The Helen Diller Family Comprehensive Cancer Center (HDFCCC) at the University of California, San Francisco (UCSF), one of the nation's leading NCI-Designated Comprehensive Cancer Centers, seeks a recognized leader in the field of prostate cancer research to serve as the next Director of the Benioff Initiative for Prostate Cancer Research (BIPCR). This is a unique opportunity to lead a cross-institutional research program, founded by the late Felix Feng, MD, dedicated to understanding the fundamental biology underlying aggressive prostate cancer and developing strategies to cure metastatic disease. The ideal candidate will be an internationally recognized physician-scientist with an outstanding track record in basic and translational cancer research. As a requirement the candidate must possesses an MD, MD-PhD or equivalent. Their research should be largely laboratory and translational in nature, with their research portfolio and funding focused on prostate cancer. They will demonstrate a strong history of peer-reviewed research funding and publications in leading peer-reviewed journals and in addition a track record in leading and managing large research projects/collaborations beyond their own laboratory. A demonstrated track record in and commitment to mentoring early-career scientists, and the ability to communicate effectively with external stakeholders are also prerequisites. UCSF offers a highly competitive startup package. As Director of the BIPCR, the selected candidate will be appointed as the George and Judy Marcus Distinguished Professor. Candidates with the appropriate qualifications may also be considered for leadership roles in the UCSF Prostate Cancer SPORE (NCI P50 Grant) and/or the HDFCCC Cancer Center Support Grant (CCSG, NCI P30 Grant)-funded Prostate Cancer Program. The incumbent will be appointed at the Associate or Full Professor rank. Applicants should apply online at: . The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5. The minimum base salary range for this position is $150,200 - $319,800. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter * Statement of Research (Optional) * Statement of Teaching (Optional) Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: July 16, 2025 Most recent review date: Friday, Aug 22, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Saturday, Jan 16, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Bose Lab - Specialist The lab of Rohit Bose, MD, PhD at UCSF ( ) is searching for exceptionally motivated and enthusiastic research specialists. A practicing physician-scientist runs the lab, focusing on understanding how tumors evolve in different therapeutic environments. The lab uses clinically relevant immunocompetent cancer models to develop & test novel therapeutic strategies. Although primarily a lab-focused position, the candidate will also interface with clinical teams regarding patient data & samples. The specialist will be an integral member of the research team. Thus, the position will require a degree of independence but is still under general supervision. This type of experience is a superb preparation for graduate or medical school. This a full-time in-person position with no remote component. It is a balancing act and requires an organized person with a talent for multitasking, as there are three components: • The primary responsibility is to ensure the smooth day-to-day running and operation of the lab., • The secondary responsibility is to collaborate with other members on research projects., • Junior Specialist - Baccalaureate degree (or equivalent degree) or at least four years of research experience., • Assistant Specialist- Master's degree or a baccalaureate degree with three or more years of research experience., • Associate Specialist - Master's degree (or equivalent degree) or five to ten years of relevant research experience., • Full Specialist - terminal degree (or equivalent degree) or ten or more years of relevant research experience., • Flexibility to receive scheduled clinical samples which can arrive after hours., • Ability to perform repetitive tasks precisely (plating cells, loading samples, etc.), • skills (verbal and written), • Willingness and ability to learn new methods and skills for changing research priorities., • Ability to work independently and as a member of a research team, • Ability to prioritize tasks, coordinate work tasks with others, and meet multiple deadlines., • Candidates must meet the required qualifications at the time of appointment., • Prior lab experience from academic or industry (beyond coursework) Please apply online at , with a CV, a cover letter summarizing prior/current research experience, the corresponding principal investigator's names, and desired career goal in 3-5 years' time, and two references. See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000-$194,800. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter - summarizing prior/current research experience, the corresponding principal investigator names, and desired career goal in 3-5 years' time Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy

Open date: July 28, 2025 Most recent review date: Thursday, Aug 28, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Thursday, Jan 28, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Open Physician Scientist Faculty Positions in Basic Science Research University of California San Francisco Department of Medicine The Department of Medicine at the University of California San Francisco is recruiting for physician scientists engaged in basic science research. Candidates must have an MD or MD and PhD and be board certified in Internal Medicine, preferably with board eligibility or certification in a subspecialty, and must have demonstrated strong potential to conduct independent research of importance and high quality. Successful candidates will be appointed in a relevant division of the Department at the level of Assistant, Associate, or Full Professor of Medicine, depending on the past experience of the individual. Successful candidates will be eligible for faculty membership in the UCSF Biomedical Sciences graduate program. Outstanding research space and generous start-up packages will be provided. The Division of Hematology and Oncology is not participating in this recruitment and researchers working in those fields should consider the department's other open searches seeking that specialty. Please apply online at: and submit a curriculum vitae, together with a one-page statement of your research plans, cover letter, and the contact information for three references. Applicants' materials must list current and/or pending qualifications upon submission. For questions, please contact the chair of the search committee, Julie Zikherman, MD () or the administrator for the search, Ilona Paredes (). For positions that are 51% effort or more: The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5. The minimum base salary range for this position is $127,000-$333,700. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation. For positions that are 50% effort or less: See Table 2 for the salary range for this position. A reasonable estimate for this position is $90,700-$238,300. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter * Statement of Research * Statement of Teaching (Optional) Reference requirements The University of California 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, age, protected veteran status, or other protected status under state or federal law. UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer., • UC Sexual Violence and Sexual Harassment Policy, • UC Anti-Discrimination Policy