Research fellow jobs in California

We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

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

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

Veteran-Owned Firm Seeking DSP Communications Research Scientist with TS/SSBI/SCI for a Role in Monterey, CA My name is Stephen Hrutka. I lead a Veteran-Owned management consulting firm in Washington, DC. We specialize in Technical and Cleared Recruiting for the Department of Defense (DoD), the Intelligence Community (IC), and other advanced defense agencies. At HRUCKUS, we support fellow Veteran-Owned businesses by helping them recruit for positions across organizations such as the VA, SBA, HHS, DARPA, and other leading-edge R&D-focused defense agencies. We seek to fill a DSP Communications Research Scientist role in Monterey, CA. The ideal candidate should possess a TS/SSBI/SCI clearance, hold an M.S. in a relevant field (Ph.D. preferred), and have at least 2 years of professional experience, with 5 years being highly desirable. If you're interested, I'll gladly provide more details about the role and discuss your qualifications further. Thanks, Stephen M Hrutka Principal Consultant HRUCKUS LLC Executive Summary: HRUCKUS seeks a DSP Communications Research Scientist with TS/SSBI/SCI for a role in Monterey, CA. Position Description: We seek a highly qualified research engineer/scientist to solve challenging technical problems in signal processing that are critical to national security. Our client has a national reputation for delivering uniquely capable solutions to very challenging problems and a long track record of consistent innovation and success against the most difficult issues faced by their customers. These problems typically involve processing of signals in very stressful RF conditions, including low signal-to-noise ratio, high levels of interference, and non-stationary environments. Position Duties: Research, design, and implement advanced signal processing algorithms in software for various RF applications. Work as an individual principal investigator or part of a small team of engineers. Perform RF signal and data analysis, reverse engineering, simulation, and modeling. Implement new algorithms in C/C++ and Python. Support transition of algorithms to real-time, high-performance production computing environments. Communicate effectively, verbally and in writing, on complex technical subjects to customers, end-users, and partners at varying levels appropriate to each audience. Translate customer objectives to technical requirements, manage performance and schedule expectations, and communicate project status and technical performance evaluations. Required Expertise and Experience: An outstanding background in signal processing, digital communications, detection and estimation theory, remote sensing, radar signal processing, adaptive antenna array processing, or navigation/geolocation. Demonstrated programming skills and experience in scientific programming are required. The ideal candidate has experience implementing signal processing algorithms in C/C++ and Python. The successful applicant will have extensive expertise and experience in one or more of the following fields: Signal processing Digital communications Detection and estimation theory Remote sensing Radar signal processing Adaptive antenna array processing Navigation/geolocation Desired Qualifications: Some experience with Linux and open-source tool chains is desirable. Experience with software-defined radio (SDR), baseband architecture, RF architecture, and/or wireless propagation and modeling is desirable. Experience with modern communications protocols, including LTE, WCDMA, GSM, 802.11, or 802.16, is desirable. Knowledge of numerical linear algebra is a plus. Good customer communication and presentation skills (written and verbal) are essential. Required Education and Experience: An M.S. in a related field is required, and a Ph.D. is desirable. U.S. Citizenship is required with an in-scope Top Secret/SSBI. A minimum of two years of work experience is required; five or more years is desirable. Details: Job Title: DSP Communications Research Scientist. Locations: Monterey, CA. FULL RELOCATION PAID. Security Clearance Requirement: TS/SSBI/SCI. Assignment Type: Full-time. Salary Range: $126,000 to $174,000 per year.

Research Scientist We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

SUPERCOMPUTING AI LAB W/ MULTIMODAL GENERAL AGENT AI STARTUP - SERIES A $1.2B VALUATION Goliath Partners has exclusively teamed up with an early stage startup AI Lab in SF currently valued at over $1B just after announcing their Series A. The firm has fundamental research bets on next-gen model architectures for long term memory and continual learning. Have lots of GPUs and are planning to get to frontier soon on the model side. Funding wise, their Series A was led by none other than Jann Tallinn. Jann has only led two other Series A's in the past - DeepMind and Anthropic! The team includes ex-DeepMind, Nvidia, Anthropic and Twitter professionals, and they are operating at the cutting edge of the AI space. They're hiring an ML Research Engineer to: Design and implement autonomous agents that can code, reason, and self-verify across real software environments Build full-stack infrastructure for prompt routing, task planning, retrieval, and sandboxed execution Apply post-training techniques (SFT, DPO, RLHF) and build eval benchmarks for multi-step reasoning and coding tasks Total Comp: $300-325k from a base perspective. Equity will also be involved at anywhere from .1% - 1% (equaling $1-10M in equity). If this sounds interesting, I'd love to share more. Please apply with an updated copy of your resume and Goliath will get in touch!

Role: Founding Applied Researcher Commitment: Full-Time, In Person Salary: up to $300k + 2% equity Must have previous AI/Multimodal/Generative systems experience About the Role Our client are building a fast-growing marketplace connecting elite creative talent award-winning artists, filmmakers, designers, and musicians with leading AI labs developing next-generation generative media models (e.g., state-of-the-art video, audio, and multimodal systems). A small, high-talent-density team with backgrounds from top universities and research-driven organizations, backed by founders and senior researchers from frontier AI labs and industry-leading research groups. They value initiative over instruction, autonomy over consensus, and reward exceptional talent with exceptional upside both in compensation and impact. Role Overview As a Founding Applied Researcher, you will design and build the next generation of generative media benchmarks evaluations that meaningfully push the boundaries of what foundation models can understand, generate, and perform. You will collaborate directly with researchers at frontier labs and fast-moving startups, helping define evaluation standards for multimodal and generative systems. This is a rare opportunity to own critical research efforts from day one, work on deeply novel challenges, and shape the direction of the field. What You'll Do Design, develop, and validate new benchmarks that test advanced real-world capabilities in generative media models Create novel evaluation methodologies, including dataset construction, task formulation, and scoring frameworks Collaborate closely with researchers at leading AI labs to identify gaps in existing evaluation pipelines and define new standards Prototype and iterate rapidly, balancing scientific rigor with practical constraints Influence research direction and help define best practices for a growing applied research organization What We're Looking For Academic & Research Background Master's degree or PhD in Machine Learning, NLP, Computer Science, or a related field Exceptional undergraduates with strong research track records are also encouraged to apply Demonstrated research excellence through publications at venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, or similar Technical Skills Strong proficiency in Python for research, prototyping, and experimentation Experience with evaluation, benchmarking, or model analysis Familiarity with multimodal systems, generative models, or foundation model behavior is a plus Mindset & Attributes Strong initiative and comfort operating autonomously Eagerness to tackle open-ended problems with no established playbook Ability to collaborate with industry researchers and clearly communicate findings Compensation & Ownership Competitive equity package with true founding-level ownership Opportunity to define foundational research culture and influence product direction from inception

In Thousand Oaks, the Automated Screening Platforms/ High-Throughput Assays group in the Lead Discovery & Targeted Protein Degradation organization is seeking a temporary contract worker for a laboratory based on-site role to provide assay reagent preparation for screening assay delivery. The desired team member will primarily contribute to a high demand for routine cell culture (expansion, banking and quality-control) of various mammalian cell lines. Responsibilities will also include collaborating with robotic platform operators to execute high-throughput cell-based & biochemical assays, in support of small molecule therapeutic discovery research pipeline & platform projects. Additional tasks include general laboratory maintenance activities such as preparing media & buffers, ordering/ stocking reagents & consumables. Training will be provided to use assay information management software applications (electronic lab notebook) and as needed utilization of laboratory instrumentation to deliver on job responsibilities. Daily activity will vary day-to-day but in scope activities include: 1. Perform routine maintenance of mammalian cell lines (expansion, aliquoting, cryobanking) 2. Routine preparation of assay reagents to support screening on automated screening platforms 3. Order, prepare, and maintain laboratory reagents & consumables to perform assays 4. As needed, offline assay validation experiments in 384- and 1536-well plate format An ideal candidate will have experience with mammalian cell culture techniques. Additionally, candidates should be detail-orientated, highly motivated, team player and a quick learner with a strong background in life sciences, molecular & cellular biology, and/or biochemistry. Experience in a laboratory setting developing and performing microtiter plate based biochemical & cell-based assays, including familiarity with luminescence-based, TRF, ALPHA, &/or high-content imaging assays is preferred. Experience with software programming skills (Python), or using AI agents (Copilot, ChatGPT) are beneficial but not required. MS or Bachelor in biological sciences.

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

Title: Research Associate - Cell Image Analysis Duration: 12-18 months Part time: 20 hours weekly - flexible shift but needs to work within business hours. Hybrid - can be flexible on days that they are working in office. Job Posting Description Join an interdisciplinary team within Client CTO organization to develop cutting-edge AI image analysis software solutions. In this role, you will leverage your expertise in cell biology to: This is a part-time (50%) hybrid position based in Santa Clara, CA. Select, classify, annotate, and correct mammalian cell imaging data to support the development and improvement of AI image analysis tools. Collaborate closely with software engineers and scientists to assess tool performance and identify areas for enhancement. Assist with data transfer, organization, and tracking to ensure smooth workflow. Document and communicate findings clearly to team members through written reports and oral presentations. Preferred: B.S./B.A. in Biology, Biotechnology, Bioengineering, or equivalent. Hands-on research experience in cell biology, including mammalian cell culture. Strong communication and teamwork skills. Demonstrated attention to detail. Computer proficiency, including Microsoft Office. Solid data analysis capabilities and experience with Excel. Proficiency in optical microscopy or automated cell imaging of mammalian cells. Experience with MATLAB and basic scripting. Prior industrial research experience.

About our team: Our team is dedicated to revolutionizing B2B e-commerce through the development of a groundbreaking AI search product. Leveraging cutting-edge LLM technology, we're creating a brand new AI search engine and streamline the entire purchasing process for B2B customers. Responsibilities ● Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation. ● Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications. ● Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators. ● Identify undefined problems in existing technology and engage stakeholders and leaders to address them. Qualifications ● PhD, Master's, or Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields. ● Ability to implement and verify state-of-the-art NLP or Computer Vision algorithms. ● Experience in successfully applying machine learning approaches to real-world personalization problems. ● Experience with building large language models. ● Knowledge of statistical methods, with strong mathematical skills. ● Excellent problem-solving and programming skills in Python. The pay range for this position at commencement of employment is expected to be between $196,500/year and $325,500/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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About the team The team is at the core of Li Auto's long-term vision to redefine intelligent mobility through Physical AI. As part of the Intelligent Driving division, we focus on two strategic pillars: Technical Foresight - Continuously tracking and decoding global innovations in embodied intelligence, world models, autonomous agents, and real-world foundation models. Frontier Research - Conducting exploratory studies and developing foundational capabilities that empower the next generation of autonomous systems. Our mission is to anticipate breakthroughs, translate them into actionable insights, and steer the organization's roadmap in AI planning, decision-making, and simulation. We closely monitor the progress of industry leaders like Tesla and Waymo, while also contributing to top-tier academic outputs. This is a team for researchers who think beyond today's limitations and are driven to architect the AI systems of tomorrow. Duties and responsibilities Strategic Leadership: Research and formulate the development of AI technology and business strategies, covering areas such as autonomous driving, embodied intelligence, physical AI, generative AI, etc. Drive cross-functional collaboration to identify emerging opportunities and define roadmaps for AI adoption and innovation. Technology Trend Analysis: Monitor global AI advancements, competitive landscapes, and regulatory changes (e.g., AI ethics, compliance frameworks) to inform strategic decision-making. Evaluate cutting-edge technologies (e.g., LLMs, reinforcement learning, multimodal AI) and assess their potential business impact. Ecosystem Development: Build partnerships with academia, industry consortia, and startups to foster co-innovation and leverage external expertise. Establish and maintain collaborative relationships with research institutions, industry associations, and other key stakeholders, and represent the company at conferences, technical committees, etc. Insight Delivery: Produce strategic and technical insight reports and presentations for executive leadership to inform global perspectives for business planning, and translate insights into strategic recommendations. Requirements Education/Experience Master's degree or higher in Artificial Intelligence, Robotics, Computer Science, Data Science, Electrical Engineering, or a related field. 3+ years of professional experience in autonomous driving and/or AI industries, with in-depth knowledge of technology trends, application scenarios, and technical foresight. Proven experience in technology foresight, strategy consulting, or academic research related to areas is highly preferred. Knowledge Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. Familiar with AI ethics, standards, and governance frameworks. Awareness of global industry and academic trends in intelligent mobility, robotics, etc. Skills and Competencies Strong analytical, synthesis, and strategic thinking capabilities to balance technical feasibility, market demands, and ROI. Exceptional communication skills to articulate complex AI concepts to non-technical stakeholders. Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. Bonus: Experience in AI-related product/technology R&D (e.g., AD/ADAS). Bonus: Proficiency in Chinese communication and writing for global collaboration. About Li Auto We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.

Please Note: Review of applications will begin on December 3, 2025. The Institutional Effectiveness & Research office serves the University as the principal source of analysis and reporting on a broad array of institutional topics to fulfill Cal State East Bay's commitment to student success. The incumbent will work to help build and sustain a campus culture of inquiry and data-informed decision making. As integral thought partners with campus colleagues, the Research Associate strengthens our campus' capacity to collect, interpret, and act on data to inform strategic planning and institutional effectiveness. In collaboration with staff at the Office of Institutional Effectiveness & Research, the incumbent has responsibility for data quality assurance, addressing data requests, complex analysis and research of institutional and survey data, and reporting. The Research Associate will interpret, monitor, and analyze data regarding policies, procedures, demographics, and operational outcomes yielding actionable information to guide decisions in wide-ranging areas. The Research Associate collaborates closely with colleagues across the university to analyze and determine meaning behind the data and meets the needs of campus stakeholders. This role serves as a key campus resource in advancing institutional effectiveness by integrating diverse data sources, ensuring data integrity, and translating analyses into strategic insights for senior leadership. Responsibilities Data Integrity and Quality * Ensures that institutional and survey data (historical and current) are managed and maintained with integrity and quality. * Plans, develops and implements new methods and systems for data collection, validation, and management. * Develops and implements data governance procedures and automated validation protocols to ensure consistency and accuracy across institutional databases. * Advises on data definitions and standards to align institutional data practices with CSU system requirements. Data Collection, Analysis, and Reporting * Collects, analyzes, interprets, and reports on institutional and survey data for projections, planning, and evaluation to inform conversations and planning of institutional initiatives. * Responds to requests for data and analyses from both internal (CSUEB) and external agencies including WSCUC and the CSU Chancellor's Office, as well as higher ed-related surveys. * Conducts analyses to identify trends in student enrollment patterns, student experiences, and student success. * Designs and executes research studies using advanced statistical and predictive modeling techniques to inform decision-making on enrollment management, student outcomes, and academic program performance. * Synthesizes complex findings into actionable recommendations for senior administrators, incorporating contextual interpretation and policy implications. * Ensures analytical methodologies and interpretations adhere to institutional and CSU data governance policies. Dashboard and Data Resource Design * Designs data resources and dashboards to enhance user accessibility and understanding of data for campus colleagues. * Preparation of major administrative and analytical dashboards in support of student success in student retention and graduation, implementation and assessment of high impact practices, curriculum offerings including freshman year programs, and information needed for university initiatives. * Leads the conceptualization and development of interactive data dashboards, collaborating with IT and campus partners to enhance usability, accessibility, and data literacy across units. * Implements visualization best practices to ensure clarity, transparency, and effective communication of key performance indicators. Minimum Qualifications Knowledge, Skills, and Abilities * Thorough and advanced knowledge of research methodologies, statistical analysis, and data visualization techniques. * Ability to develop and validate assessment instruments (e.g., for surveys, focus groups, interviews), and administration strategies, (e.g., sampling, timing, incentives). * Advanced project planning and organizational skills to plan, organize, and manage multiple projects and deadlines simultaneously. * Advanced communications and interpersonal skills to build partnerships and communicate effectively in a diverse environment. * Advanced problem solving and analytical skills in order to evaluate and interpret data to develop sound conclusions and recommendations. * Advanced technical skills with proficiency in using statistical software and data visualization tools. * Advanced skills in survey design, administration, and analysis. * Thorough knowledge of higher education policies, accreditation processes, and data privacy regulations. Demonstrated competence in independently applying advanced judgment to solve difficult and complex problems and issues. * Ability to effectively lead or mentor the work of others. Experience and Education * Equivalent to a bachelor's degree in a related field and four years of relevant experience. * Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown above may be substituted for the required education on a year-for-year basis. * An advanced degree in a related field may be substituted for the required experience on a year-for-year basis Required Qualifications * Four years of professional experience conducting analyses and research, data quality management, and reporting, preferably in a university setting or relevant technical field experience solving analytical problems using quantitative approaches. * Evidence of experience in statistical analyses and research methodologies with large complex datasets on a statistical software package (SPSS, STATA, R, etc.). * Excellent verbal and written communication skills. Possesses interpersonal and communication skills to positively convey findings to senior leadership and faculty and general audience. * Exemplary critical thinking and problem-solving skills. * Interest and/or ability to work in a multicultural/multiethnic environment. Preferred Skills and Knowledge * Masters/Doctoral degree in related fields focusing on quantitative analysis. * Demonstrated experience using SQL to query, analyze, and summarize large data sets. * Experience developing reports and dashboards using Tableau visualization software. * Experience with institutional research and assessment experience in higher education. * Knowledge and understanding of key concepts in higher education highly desired. Condition(s) of Employment Satisfactory completion of a background check (including LiveScan, as appropriate), that may include, but is not limited to: criminal records check, verification of academic credentials, licenses, certificates, credit history, professional references and/or verification of work history is required for employment. Cal State East Bay will issue a conditional offer of employment to the selected candidate, which may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Unsatisfactory results may also affect the continued employment of current Cal State East Bay employees who were conditionally offered the position. All background checks are conducted through the university's third party vendor, Accurate. LiveScan is conducted through the University Police Department. EEO Statement All university programs and activities are open and available to all regardless of race, sex, color, ethnicity or national origin. Consistent with California law and federal civil rights laws, Cal State, East Bay provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Our commitment to equal opportunity means ensuring that every student and employee has access to the resources and support they need to thrive and succeed in a university environment and in their communities. The CSU complies with Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California's Proposition 209 (Art. I, Section 31 of the California Constitution), other applicable state and federal anti-discrimination laws, and CSU's Nondiscrimination Policy. We prohibit discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of discrimination, harassment, and retaliation in all university programs, policies, and practices. Other Information All California State University campuses, including Cal State East Bay, are smoke and tobacco-free. For more information, please visit our website here. In compliance with state and federal crime awareness and campus security legislation, including The Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act, the Cal State East Bay Annual Campus Security Report is available here. Sponsorship Cal State East Bay is not a sponsoring agency for Staff or Management positions and we are not an E-Verify employer. Mandated Reporter The incumbent in this position may be considered a mandated reporter under the California Child Abuse and Neglect Reporting Act and will be required to comply with requirements set forth in the CSU Executive Order 1083 as a condition of employment. Advertised: Nov 18 2025 Pacific Standard Time Applications close:

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Reporting directly to the Director of the Digital Experience Marketing and Integrated GTM Strategy, this role will drive high-impact marketing initiatives that leverage agentic capabilities to align Adobe's enterprise go-to-market (GTM) strategy with customer needs, sales plays, and product innovation. The ideal candidate will bring a strong mix of strategic thinking, cross-functional leadership, and operational rigor to drive measurable business outcomes across the funnel. What You'll Do You'll work cross-functionally to drive strategic initiatives that span AI-assisted Marketing Capabilities, Integrated GTM Strategy & Alignment, and Translating Account, Persona & Content Strategy into Actionable Insights, Vision-setting and Storytelling. This is a high-visibility role with exposure to senior leadership and opportunities to shape how Adobe delivers experiences to enterprise customers. Key contributions: * Develop AI-Driven Marketing Capabilities: Collaborate on initiatives to develop agentic capabilities for Business Development Reps and Marketers; scoping use cases and translating data into actionable insights and next-best-action recommendations. Support Proof-of-Concept testing to improve agentic capabilities and recommendations. * Foster Integrated GTM Strategy & Alignment: Support the development of strategies to deliver unified customers experiences by synthesizing data from multiple sources (CRM, web, campaign, sales). Partner with Product Marketing, Sales Strategy, and Analytics to shape our unified approach to customers and ensure alignment with sales plays, product priorities, and customer personas. * Translate Account, Persona, & Content Strategy and Actionable Insights: Contribute to the creation and evolution of marketing scorecards and dashboards (e.g., Power BI, CJA B2B), helping teams translate data into actionable insights to inform GTM prioritization. Assist in building and maintaining dashboards, heatmaps, and prioritization tools to support targeted engagement strategies. * Cross-Functional Leadership: Lead cross-functional workstreams with stakeholders across Enterprise Marketing, PMM, Sales, Content Strategy, ACS, and DX Products to drive alignment and execution. Experience We're seeking a highly analytical and strategic thinker to join our Integrated GTM Strategy & PMO team. This role is ideal for someone with a strong foundation in marketing, data analytics, decision sciences, or strategy consulting, and a passion for driving business impact through customer-centric, data-informed marketing strategies. * Currently enrolled in a full-time MBA program graduating between December 2025 - June 2026 * Exceptional analytical and quantitative problem solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations * Exceptional written and verbal communication skills with the ability to influence both peers and leaders * Experience in B2B marketing, GTM strategy, or marketing operations preferred * Proven ability to lead cross-functional initiatives and influence senior stakeholders. * Familiarity with AI-powered marketing tools, CRM systems (e.g., Salesforce), and campaign orchestration platforms preferred * Excellent communication and storytelling skills, with a track record of translating complex data into compelling narratives. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $87,300 -- $167,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $115,500 - $167,250 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice Dec 31 2025 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

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

Assistant Professor School/Department Name: Department of Biological Sciences Compensation: Commensurate with qualifications, experience, and rank as established by the CSU Salary Schedule. Anticipated hiring academic year annual salary range: $135,000 - $143,000 Faculty employee benefits are very competitive for the higher education sector. See the CSU Employee Benefits Summary for details about the CSU's excellent benefits package. Target Start Date: January 2026 Application Deadline: September 30, 2025. Applications will be accepted until the position is filled or closed. Position Description The Department of Biological Sciences at San José State University invites applications for an Assistant, Associate, or Full Professor in the area of Clinical Laboratory Science. We are a team of dedicated teacher-scholars recognized for our commitment to excellent teaching, engaging students in research projects, and promoting equity, diversity, and inclusion in CLS, Biology, and in STEM disciplines. The incumbent will serve as Director for both the Clinical Laboratory Scientist (CLS) Training Program and the Clinical Genetic Molecular Biologist Scientist (CGMBS) Training Program, and will be expected to teach in these programs in their area of specialty. The Department of Biological Sciences offers degrees in Microbiology, Molecular Biology, Ecology and Evolution, Systems Physiology, General Biology, Marine Biology, and is the home department for both the Clinical Laboratory Scientist (CLS) Training Program and the Clinical Genetic Molecular Biologist Scientist (CGMBS) Training Program. There are approximately 1000 undergraduate majors, 65 Master's students enrolled in Biology, 59 CLS students, and 16 CGMBS students enrolled. Facilities include: a new, state of the art Interdisciplinary Science Building, molecular and microbiology research and teaching labs (BSL2 capable); imaging with confocal laser microscope (Zeiss 700), flow cytometry (FACSCalibur & FACScan); cell culture; Proteomics (QTOF LC/MS/MS, 2D Gel, TYPHOON Imager, and AKTA FPLC systems); anatomy and physiology research and teaching labs; bioinformatics and general computing labs; greenhouses, herbarium, plant growth chambers, and museums. There is technical support for laboratory courses and equipment maintenance. Opportunities for collaboration with biotechnology companies and local research-intensive universities are supported. The Department of Biological Sciences and San José State University value diversity, equity, inclusion, and belonging. Our excellence in research, teaching, and service can only be fully realized by faculty, students, and staff who share our commitment to these values. SJSU enrolls more than 36,000 students, many of whom are historically underserved, and around 45% are first-generation and 38% are Pell-recipients. SJSU is a Hispanic Serving Institution (HSI) and Asian American and Native American Pacific Islander (AANAPISI) Serving Institution. The university's commitment to social justice extends from its vibrant, inclusive campus to an international network of over 275,000 alumni. As such, San José State is committed to increasing the diversity of its faculty so our disciplines, students, and the community can benefit from multiple ethnic and gender perspectives. Successful candidates will demonstrate evidence of a commitment to equity and inclusion through their research, teaching, and/or service. We invite all applicants to include a Statement of Inclusive Excellence (or incorporate it into your cover letter) to share how your lived and professional experiences will contribute to the SJSU community-particularly in relation to student success and inclusive education. A guide to writing this statement can be found at SJSU Inclusive Excellence Statement Guidelines. Required Qualifications Insert required qualifications here. Includes terminal degree requirement and other qualification items. Be specific and clear, carefully considering how these qualifications contribute to student success and how candidates will demonstrate these in their application materials and interviews. Please note that hire decisions must be based primarily on the items denoted as required. Fewer, broader required qualifications lead to more diverse applicant pools. Doctoral degree in education, microbiology, or a related field. M.S. in biology or a related field may be considered with appropriate experience. Current CA CLS Generalist license Current (ASCP or ASCPi) Generalist certification as a medical laboratory scientist Three years of teaching experience Knowledge of education methods and administration as well as current NAACLS accreditation procedures and certification procedures Applicants must demonstrate an awareness of and sensitivity to the educational goals of a socially and economically diverse student population as might have been gained in cross-cultural study, training, teaching, and other comparable experience. Preferred Qualifications Priority will be given to candidates who possess one or more of the following: Expertise or teaching experience in one or more of the following: Hematology, Medical Microbiology, or Immunology Five years of practical experience in clinical laboratory work Management/supervisory experience leading and supervising personnel and projects Budgeting/fiscal experience Key Responsibilities The successful candidate is expected to manage the operations of the CLS and CGMBS programs, including budget and fiscal activities, evaluation of applications, academic personnel, recruitment of teaching staff, facility coordination, promotion of the program, and curriculum planning and development. The candidate will ensure accreditation, licensing, safety and risk management requirements are met, update changes in standards for accreditation, and track all required statistics annually for accreditation purposes. Teaching duties may include hematology, medical microbiology, or immunology modules in the CLS/CGMBS curriculum. The candidate will participate in shared governance, usually in department, college, and university committees and other service assignments. The candidate must demonstrate awareness and experience understanding the needs of a student population of great diversity - in age, abilities, cultural background, ethnicity, religion, economic background, primary language, sexual orientation, gender identity, and academic preparation - through inclusive course materials, teaching strategies and advisement. Other Duties Note that all San José State University employees are considered mandated reporters under the California Child Abuse and Neglect Reporting Act and are required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act) and CSU systemwide policy, some faculty duties may lead to designation as a Campus Security Authority (CSA). CSAs are required to complete Clery Act training and to immediately report Clery incidents to the institution. Faculty employees must complete CSU employee training as assigned and required based on their role (e.g., Data Security, FERPA, Preventing Discrimination and Harassment, Title IX, Health and Safety). The President may recommend or require compliance with safety measures that decrease the likelihood of COVID-19 transmission or illness and allows the core mission and activities of the campus to continue. Application Procedure Select Apply Now to complete the SJSU Online Employment Application and attach the following documents: letter of interest curriculum vitae Optional statement of inclusive excellence (limit two pages) Statement of teaching interests/philosophy (limit 2 pages) that describes the applicant's pedagogical approach, teaching experiences, and their view of the role of faculty in student success Names and contact information for three references who are willing to provide letters of reference upon request. Inquiries may be directed to the Department Chair or Search Committee Chair: Dr. Rachael French (rachael.french@sjsu.edu) Conditional Offer The work for this faculty position is located in the State of California and requires commuting to the campus Employment is contingent upon US residence and proof of eligibility to work in the United States. Satisfactory completion of a background check (including a criminal records check) is required for employment. SJSU will make a conditional offer of employment, which may be rescinded if the background check reveals disqualifying information, and/or it is discovered that the candidate knowingly withheld or falsified information. Failure to satisfactorily complete the background check may affect the continued employment of a current employee who was conditionally offered the position. San José State University: Silicon Valley's Public University Located in the heart of Silicon Valley - one of the most innovative regions in the world - San José State University is the founding campus of the 23-campus California State University (CSU) system and the first public university in the West. Recognized as a leading transformative educational institution, San José State is an essential partner in the technological, economic, cultural, and social development of Silicon Valley, the Bay Area, and California. SJSU is a top-200 school nationally in research funding and second highest in research productivity in the CSU system. Cutting-edge research, world-class scholarship, student-centered learning, diverse communities, and commitment to social justice, allow SJSU to provide life-changing opportunities and advance the public good locally and globally. Equal Employment Statement San José State University prohibits discrimination on the basis of Age, Ancestry, Caste, Color, Disability, Ethnicity, Gender, Gender Expression, Gender Identity, Genetic Information, Marital Status, Medical Condition, Military Status, Nationality, Race, Religion, Religious Creed, Sex, Sexual Orientation, Sex Stereotype, and Veteran Status. This policy applies to all San José State University students, faculty, and staff as well as University programs and activities. Reasonable accommodations are made for applicants with disabilities who self-disclose. Campus Security and Fire Safety Notification Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the Annual Security Report (ASR) is also now available for viewing at https://www.sjsu.edu/clery/docs/SJSU-Annual-Security-Report.pdf. The ASR contains the current security and safety-related policy statements, emergency preparedness and evacuation information, crime prevention and Sexual Assault prevention information, and information about drug and alcohol prevention programming. The ASR also contains statistics of Clery crimes for San José State University locations for the three most recent calendar years. A paper copy of the ASR is available upon request by contacting the Office of the Clery Director by phone at 408-924-1501 or by email at clerycompliance@sjsu.edu. Pursuant to the Higher Education Opportunity Act, the Annual Fire Safety Report (AFSR) is available at https://www.sjsu.edu/clery/docs/SJSU-Annual-Fire-Safety-Report.pdf. The purpose of this report is to disclose statistics for fires that occurred within SJSU on-campus housing facilities for the three most recent calendar years, and to distribute fire safety policies and procedures intended to promote safety on Campus. A paper copy of the AFSR is available upon request by contacting the Housing Office by phone at 408-795-5600 or by email at uhs-frontdesk@sjsu.edu.

The Opportunity State-of-the-art technologies that measure multiple cellular aspects of in-vitro biology are at the heart of insitro's efforts to accelerate drug development. Computational biology is key to elucidating the relationship between these phenotypes and human disease and translating them into actionable outcomes. We are looking for an expert in omics data analysis, including deep understanding of cell biology and single cell transcriptomics, and fluent with state-of-the-art analysis techniques. Your expertise will help the team navigate the complexities developing disease relevant cell models and analyzing high throughput phenotypic screens, and ensure that the tools being developed are calibrated and effective, and that analyses are performed to the highest rigor and in line with best practices in the broader scientific community. In this role, you will collaborate closely with experimental biologists and machine learning scientists, support the identification of novel phenotypes, the development of new screening paradigms, and advance our understanding of disease. You will utilize diverse machine learning and bioinformatic methods to perform diverse downstream analyses, including integrating with other data modalities, including imaging and human cohort data in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. This role will be reporting to the Head of Computational Biology and ML-Omics . This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week. You will be joining a vibrant biotech startup that has many opportunities for significant impact. You will work closely with a highly talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients! Responsibilities * Analyze and interpret omics datasets from disease-relevant in-vitro models to identify potential therapeutic targets from perturbation screens * Partner with experimental biologists to design, troubleshoot, and optimize high-throughput experiments and workflows * Integrate insights from multimodal data (bulk/single-cell RNA-seq, microscopy, spatial proteomics, human cohort data) to understand disease mechanisms and generate therapeutic hypotheses * Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions * Communicate findings clearly to cross-functional stakeholders through reports, visualizations, presentations, and publications About You * Ph.D. in computational biology, systems biology, bioengineering, machine learning, or a related discipline, with 3+ years of working experience post graduation * Extensive hands on experience analyzing single-cell and bulk RNA-seq data * Experience working with functional genomic assays data (RNA/ATAC/ChIP-seq, etc) * Experience analyzing data from perturbational screens (e.g. perturb-seq) * An understanding of systems biology, molecular biology, or disease biology (e.g. neurological disorders, metabolic disorders) * Experience with spatial proteomics and/or transcriptomics * Strong programming skills and proficiency with Python scientific packages (i.e., numpy, pandas, scanpy) * Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions * Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review) * Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues Compensation & Benefits at insitro Our target starting salary for successful US-based applicants for this role is $175,000 - $200,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: * 401(k) plan with employer matching for contributions * Excellent medical, dental, and vision coverage as well as mental health and well-being support * Open, flexible vacation policy * Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) * Quarterly budget for books and online courses for self-development * Support to attend professional conferences that are meaningful to your career growth and role's responsibilities * New hire stipend for home office setup * Monthly cell phone & internet stipend * Access to free onsite baristas and cafe with daily lunch and breakfast for employees who are either onsite or hybrid * Access to free onsite fitness center for employees who are either onsite or hybrid * Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at ****************. #LI-Hybrid About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro's approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit ****************

Research Biologist needs 2-3 years experience Research Biologist requires: Degree in biology Laboratory equipment and procedures. MS Office Lab techniques Research Biochemistry Cell biology Experience in running biochemical and immunological assays. Research Biologist duties: Ø Conduct experiments to identify and validate drug targets. Ø Support assay design, optimization, validation, and data analyses. Ø Design and execute molecular and cell biology experiments. Ø Troubleshoot and analyze complex data in support of drug discovery projects. Ø Presentation of results and conclusions both orally and written.