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It's what drives us to innovate.To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.Creating a world where we all have more time with the people we love.That's what makes us Genentech, a member of the Roche Group!.The departmen

It's what drives us to innovate.To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.Creating a world where we all have more time with the people we love.This role is in Analytical Data Science, a core function within Product De

Clinical Data Scientist – Hybrid or Remote.

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're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners. What you'll do: • Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel., • Design, implement, and validate advanced causal inference methods for incrementality and lift measurement., • Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power., • Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms., • Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions., • Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions., • Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org., • Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers. What we're looking for: • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA)., • Proficiency in SQL and expertise in at least one scripting language (ideally Python or R)., • Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value., • Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers., • Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams., • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience. 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 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle. Relocation Statement: • 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$164,695—$339,078 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.

We're looking for a Senior Applied Research Scientist to join Procore's AI & Frontier Models organization. In this role, you'll act as the handson technical leader for applied machine learning systems that extract spatial intelligence from construction drawings, BIM, and project data. The primary goal of this role is to design and deliver reliable, scalable ML systems that reduce design risk, improve constructability, and expand the range of spatial problems Procore teams can solve. As a Senior Applied Research Scientist, you'll partner with ML engineers, software engineers, product managers, and construction domain experts to lead daytoday technical execution for spatial intelligence initiatives. Use your expertise in applied machine learning, software architecture, and system design to translate complex, ambiguous problems into highquality production systems. This is an opportunity to remain deeply handson while shaping technical direction and raising the engineering bar for the team-join us and help define how spatial intelligence shows up in real construction workflows. Apply today. This role reports reports into the Manager, Software Engineering, and is based in our San Francisco office, supporting Procore's Datagrid AI Division. Given the collaborative and fast moving nature of this work, we are seeking candidates who are available to work onsite five days per week. This is an immediate opening! What you'll do * Act as the daytoday technical lead for applied ML projects within the Frontier Models & Spatial Intelligence team. * Design, implement, and iterate on machine learning systems that analyze 2D drawings and BIM data to detect clashes, inconsistencies, and constructability risks. * Lead handson development of model training, evaluation, and inference pipelines in close collaboration with other engineers. * Drive proofofconcept and exploratory work to reduce ambiguity and rapidly validate technical approaches. * Ensure the longterm health, performance, and maintainability of the team's ML codebases and supporting systems. * Set and uphold engineering quality standards through code reviews, mentorship, and technical guidance. * Collaborate with partner teams to ensure spatial intelligence systems integrate cleanly into Procore's broader platform and workflows. * Proactively identify technical risks, architectural gaps, or operational concerns and address or escalate them appropriately. What we're looking for * Bachelor's, Master's, or PhD in Computer Science, Engineering, Machine Learning, or a related field, or equivalent practical experience. * 5+ years of professional experience building production software systems, including applied machine learning components. * Strong experience designing, training, and deploying ML models using Python and modern ML frameworks. * Solid foundation in computer science fundamentals, including data structures, algorithms, and system design. * Experience working with complex or highdimensional data such as images, documents, or structured technical datasets. * Demonstrated ability to lead technically through direct contribution, mentorship, and architectural decisionmaking. * Strong systemlevel thinking, with an understanding of reliability, scalability, cost, and operational constraints. * Clear communication skills and the ability to explain technical decisions and tradeoffs to crossfunctional stakeholders. Nice to have experience with technologies such as: * ML & Data: PyTorch, TensorFlow, NumPy, Pandas, HuggingFace, selfsupervised or multimodal learning workflows * Computer Vision & Spatial Data: OpenCV, document understanding pipelines, geometric or graphbased representations, 2D/3D spatial reasoning * Data & Training Infrastructure: Distributed training, experiment tracking, dataset versioning, largescale annotation workflows * Backend & Systems: Pythonbased services, REST or gRPC APIs, batch and streaming data pipelines * Cloud & DevOps: Containerized ML services, Kubernetes, cloud compute and storage (AWS, GCP, or equivalent) * Quality & Operations: Model evaluation frameworks, monitoring and alerting, performance and cost optimization in production Base Pay Range: 194,672.00 - 267,674.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

Job Title R&D Technician II Duration: 6+month with potential extension. Site: San Francisco, CA Description Details We are seeking an experienced and motivated candidate to join our sample management team. The individual will be responsible for ensuring the integrity of biologics (proteins and cell lines) and compound research samples. Key responsibilities include, but are not limited to: sample check-in, fulfilling sample requests, maintaining inventory, and proper handling of all research samples. The successful candidate will work closely with supervisors and team members. Responsibilities • Receive, check-in, and update information in inventory for the biological samples submitted by the scientist., • Store and maintain inventory of compounds and biological samples in LIMS database, • Fulfill dispersal requests (Biologics and Compounds) in a timely manner., • Weigh out compounds using an analytical balance, dissolve powders to prepare DMSO stock solutions, and manually pipette solutions as needed., • Support DMPK screening by dispensing compounds using TECAN D300e, • Utilize sterile techniques to handle samples during re-aliquoting and vial labeling/transfer., • Thaw, expand, bank cell lines (BSL-1, BSL-2) and quality control of cell line banks., • Submit and send out cell line samples for testing for Discovery departments., • Maintain traceability of all biological materials and associated data sets., • Perform routine maintenance of laboratory equipment and replenish consumables., • Report lab and inventory issues to supervisor or appropriate party Qualifications: • BS/MS or equivalent degree in biological sciences with 3+ years of experience in a laboratory setting either in an academia or industry., • Strong multi-tasking abilities to work in a fast-paced, customer focused, dynamic team environment, • Experience in working with automated storage systems and operating/programming various liquid handlers to facilitate sample processing is preferred, • Experience with inventory/request database systems for sample management is highly desirable, • Proficiency in Microsoft Excel is highly desirable, • Competent oral and written communication skills, • Self-motivated, deadline conscious, high degree of organization skill and attention to details; able to adapt to changing priorities and circumstances, • Ability to work in research labs and process biological samples is a strong plus What are the top 3-5 skills, experience or education required for this position: 1. Excellent organizational skills, attention to detail, and strong oral and written communications skills, 2. Multitasking, 3. Aseptic Technique, 4. Proficient in MS Excel, 5. At least 3 years experience in laboratory setting – sample management EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Our On-Demand Talent Solutions team is partnering with our trusted client to identify a Director-level Clinical Scientist. Our client is a biopharmaceutical company developing next-generation targeted therapies for cancer. This role is ideal for a drug development professional passionate about translating innovative science into meaningful clinical outcomes. Summary: The Clinical Scientist will lead aspects of protocol development, study planning, data generation, analysis, and reporting as well as work cross-functionally to deliver high-quality data and insights that move programs forward. Responsibilities: • Lead design and execute clinical deliverables to support the CDP, including INDs, protocols, IBs, and study documents (CRFs, SAPs, data listings)., • Oversee clinical data generation, validation, and review, including query resolution, patient eligibility, and protocol deviation management., • Perform study subject-level data analysis to inform clinical development strategy and reporting., • Partner with medical teams, advisors, and Health Authorities, including support for HA/IRB interactions and responses., • Contribute to therapeutic area research, KOL/investigator engagement, and development of scalable clinical processes. Qualifications: • A minimum of 8 years of relevant experience and an advanced degree (PharmD, MD, MSN, PA, MPH, etc.), • Strong background in small molecule therapies and oncology clinical development., • Experience in early phase clinical trials.

Description: The Position: We are seeking a creative, self-motivated, collaborative Contractor/Scientist-II to join the Nucleic Acid Design and Discovery (NADD) team within ProteinSciences (PS) department. We are looking for a candidate with experience in oligonucleotide discovery and synthesis to support our new oligonucleotide therapeutics discovery group. Experience in delivery of oligonucleotide therapeutics, large molecule drug discovery, would be preferred. The successful candidate will join an interdisciplinary chemistry team working in RNAi biology research and will contribute positively to its developing culture. Key Responsibilities: • 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 compound progression., • Establish methods for scaled-up synthesis of lead molecules and coordinate material delivery for preclinical studies., • Maintaining a high level of productivity in the laboratory setting to meet the timelines for in vitro and in vivo studies. Requirements: • 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., • Good communication and interpersonal skills are essential and will be evaluated during the interview process., • The ideal candidate should be highly motivated and have strong problem-solving, analytical, communication and organizational skills. Pay Rate Range: $30-45/hr depending on experience

Medical Director / Senior Medical Director (Neurology & Early Development) Location: South San Francisco, CA (Onsite) Category: Clinical Sciences / R&D Our client is seeking a Medical Director or Senior Medical Director to lead their Neurological and Neuropsychiatric clinical portfolio. This is a high-impact role reporting directly to the Head of Clinical Sciences. You will be the clinical architect for programs moving from preclinical discovery into human "Proof-of-Mechanism" and "Proof-of-Concept" trials. The Impact You Will Make • Strategic Leadership: Lead high-performing cross-functional teams to translate preclinical data into robust human clinical strategies and biomarker development., • Experimental Medicine: Design and execute innovative "Phase 0" through Phase 2 studies to demonstrate proof-of-mechanism for novel targets in the neuropsychiatric space., • Collaborative Discovery: Act as a key interface between research and drug development, working closely with discovery scientists and external partners to shape disease indication strategies., • Clinical Expertise: Utilize your medical background to guide the development of preclinical models and ensure they align with human clinical needs., • Regulatory & Scientific Content: Author and provide expert medical oversight for protocols, Investigator Brochures (IBs), Clinical Study Reports (CSRs), and regulatory submissions. Who You Are • Physician-Scientist: You hold an M.D. or an M.D./Ph.D. with a deep scientific mindset., • Neurology Expert: Board certification or eligibility in Neurology or Pediatric Neurology is highly preferred., • Proven Industry Veteran: You have 5+ years of translational or clinical drug development experience within biotech, pharma, or a top-tier academic research setting., • Early Phase Specialist: You possess direct experience or a deep working knowledge of early clinical trial methodology (Phase 0, 1, and 2)., • Collaborative Leader: You excel in a matrixed environment, possessing the ability to lead through influence and bring out the best in cross-functional teams. Why This Role? This is not a traditional "late-stage" medical monitoring role. This is a position for a scientist-clinician who wants to be at the forefront of Early Development (Translational), working on novel targets that have the potential to redefine how we treat neurological diseases.

About the company My client is building autonomous AI systems designed to operate in real-world healthcare environments. Their agents function as digital clinicians and care coordinators that support patients across the full care journey, including intake, triage, navigation, post-visit follow-up, side effect monitoring, and medication adherence. These systems maintain contextual memory across interactions and can take bounded clinical actions within defined safety protocols. Their platform is evaluated on safety, continuous improvement, and measurable impact on patient health. Agents operate autonomously within validated clinical scopes, with explicit escalation pathways and human handoff boundaries. As performance is validated across populations, those scopes expand. They are a venture-backed company working in partnership with leading academic medical organizations. Their platform is already supporting high-volume patient interactions and is scaling rapidly. About the role As a Research Scientist, you will define and lead the company’s research strategy around AI agent evaluation and clinical validation. You will design rigorous studies, establish evaluation standards for safety and performance, and publish work that advances the scientific foundation of healthcare AI. This is a senior research leadership role focused on building credibility through reproducible, peer-reviewed science. Healthcare AI research often lacks open benchmarks and strong methodology. You will help change that by setting a higher bar for transparency and rigor. What you’ll do • Lead research on agent evaluation, simulation testing, and safety boundary analysis, • Publish papers and preprints at top academic venues, • Design studies linking agent behavior to clinical outcomes, • Develop frameworks to identify demographic bias and fairness risks, • Coordinate research partnerships with academic medical collaborators, • Ensure datasets and methodologies are publicly accessible and reproducible, • Manage regulatory and ethics review processes (including IRB coordination), • Present research at conferences and represent the company in the scientific community What We're Looking for: • PhD in machine learning, computer science, statistics, computational health, or a related field from a top institution, • Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, AAAI, CHIL), • Experience with evaluation frameworks, benchmarking, or AI safety research, • Track record of reproducible research using public datasets, • Ability to translate research insights into production improvements, • Exceptional scientific writing and communication skills, • Experience collaborating with academic institutions Nice to have • Experience at leading academic or industry AI research labs, • Publications in AI evaluation, fairness, safety, or healthcare ML, • Clinical study design experience or familiarity with IRB processes, • Background in simulation or synthetic data evaluation, • History of successful academia–industry collaboration This role is Onsite in NYC or SF

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are hiring a Lead Data Scientist to be the primary technical engine of our supply chain demand forecasting and root cause analysis platform. This is a hands-on senior individual contributor role with significant ownership — you will implement, validate, and maintain the full ML pipeline, working closely with the US-based Senior Manager. Required Qualifications Experience • 9–12 years of hands-on experience in data science or machine learning — with a strong emphasis on Python-based ML engineering in production environments, • 3+ years of experience with time-series forecasting or supply chain analytics in a commercial context, • Demonstrated experience building end-to-end ML pipelines from raw tabular data through model output and reporting — not just notebook prototyping, • Experience working in cross-functional teams with stakeholders across business, IT, and analytics; ideally in a consulting or professional services environment, • Track record of delivering high-quality, well-documented, reviewable code in a team setting Technical Skills • Expert-level Python: scikit-learn, pandas, numpy, scipy, joblib — able to write production-grade, optimised code for large datasets, • Deep hands-on experience with ensemble methods: gradient boosting (GBM, XGBoost, LightGBM) and Random Forest — including hyperparameter tuning and performance diagnostics, • Proficiency in quantile regression and probabilistic forecasting: building tree-level percentile prediction intervals, measuring PI coverage (Winkler score, pinball loss), and detecting quantile crossing violations, • Strong statistical skills: KS 2-sample tests, ACF/PACF analysis, change-point detection, IQR outlier detection, Pearson/Spearman correlation, • Proficiency with SQL for data extraction, transformation, and validation, • Familiarity with version control (Git), experiment reproducibility (SEED management, config-driven pipelines), and collaborative development workflows Education • Master's degree or PhD in Data Science, Statistics, Computer Science, Machine Learning, Operations Research, or a related quantitative field, • Bachelor's degree with equivalent industry experience in a quantitative discipline considered Privacy Notice Declarations for California based candidates/Jobs::

Kadence is partnered with a AI first healthcare company building agentic systems for medical coding. We are looking for an Applied Scientist with strong LLM reasoning and agents background. We need a coder and platform builder, who also has strong research background. Target Compensation is between $160k-220k base (depending on experience), plus equity. Location is Bay Area, SF (hybrid ) What you’ll do • Improve LLM reasoning using post-training (SFT, RL), • Build agentic systems (multi-step, real-world tasks), • Design evaluation frameworks to measure model quality, • Optimize models for performance + cost efficiency What we’re looking for • Strong ML/NLP background with LLMs or transformers (1.5 years+ industry exp.), • Experience with RL, fine-tuning, or evaluation of models, • Solid Python + PyTorch (or similar), • Track record of turning research into real impact, • Ph.D. required in Computer Science, Mathematics, Physics background or similar Bonus • Synthetic data, retrieval systems, or long-context models, • Experience with scalable ML systems

Lead Data Scientist San Francisco, CA (Hybrid – 3 days/week) Salary: $170-190,000 base + equity Contact: A fast-growing, tech-driven healthcare platform is seeking a Lead Data Scientist (AI/ML) to help build and scale next-generation AI products that support medical professionals at scale. The Opportunity You’ll work with massive, real-world datasets to design, optimize, and evaluate AI-driven products used by healthcare professionals nationwide. This role sits close to product and leadership, with the opportunity to influence both technical direction and product strategy. What You’ll Do • Build, train, and optimize machine learning and AI models powering core product features, • Work with large-scale datasets to generate insights and improve model performance, • Partner with product, engineering, and analytics teams to define and execute data-driven initiatives, • Design and implement experimentation frameworks to evaluate model and product performance, • Translate complex technical outputs into clear, actionable insights for stakeholders, • Contribute to the broader data and AI strategy, helping shape future product direction What We’re Looking For • Strong foundation in statistics, including experimentation, probability, and exploratory analysis, • 5+ years of experience in data science, machine learning, or related roles working with large, complex datasets, • Hands-on experience building and deploying machine learning models in production, • Experience with modern ML techniques, including deep learning and LLMs (e.g., fine-tuning, evaluation), • Proficiency in Python and SQL, with strong coding and data manipulation skills, • Experience with scalable data processing (e.g., distributed systems, large-scale pipelines), • Ability to communicate technical insights clearly to non-technical stakeholders, • Strong product mindset with a focus on driving measurable impact Why This Role? • Work on AI products with real-world healthcare impact, • Access to large-scale, proprietary datasets, • Highly collaborative, product-driven environment, • Opportunity to shape AI strategy at scale, • Competitive compensation: $170K–$248K total comp (base + equity)

Research Scientist, Post-Training | Robotics & AI | SF Bay Area / Boston A frontier AI robotics company building general-purpose robots is hiring a Post-Training Research Scientist to turn large pretrained robot models into reliable real-world systems. The team includes alumni from OpenAI, Boston Dynamics, and Google DeepMind, working on embodied foundation models and robotic dexterity. Role Focus on post-training: fine-tuning and adapting large models for real robotic tasks, improving robustness and controllability, and building evaluation frameworks tied to real-world performance. Work on inference efficiency and close the loop between model outputs and robot behaviour using RL, imitation learning, distillation, synthetic data, and curriculum learning. Looking for Experience fine-tuning large models (RLHF, RL, IL, distillation, domain adaptation), ideally with exposure to embodied AI or real-world ML systems, plus strong evaluation and debugging skills. 📍 On-site: SF Bay Area or Boston 💰 Up to $350k + equity

Senior Research Scientist, Cancer Biology Overview: We are seeking a highly motivated, independent PhD scientist with strong laboratory expertise to contribute to advancing the understanding of target biology and the mechanisms of action of novel small molecule inhibitors for cancer treatment. The Senior Research Scientist, Cancer Biology will focus on designing and executing cell-based studies to address critical scientific questions that support therapeutic development efforts. This is a bench-focused, mechanistic biology role. You will be heavily involved in in vitro work and cancer cell line-based experiments. Industry: Discovery and Development Location: South San Francisco, CA Compensation: $65-$75 per hour (based upon experience) Type: Full-time (12-month Contract, possibility of extension based on performance) Key Responsibilities • Independently design and execute experimental studies, • Conduct in vitro and cell-based assays to investigate mechanisms of action for potential anti-cancer agents and identify novel biomarkers, • Analyze and interpret experimental data, and independently troubleshoot technical challenges, • Collaborate closely with research and project team members to align efforts with key scientific objectives, • PhD in cancer biology, cell biology, molecular biology, or a related discipline, with 2–3 years of relevant experience, • Biotech or pharmaceutical industry experience preferred; 1-5 years, • Strong experience with cancer cell lines and in vitro biology, • Background in cancer epigenetics and gene regulation is preferred; experience with ATAC-seq, CUT & RUN, bulk RNA-seq, or single-cell RNA-seq is a plus, • Hands-on experience designing and performing flow cytometry assays, • Demonstrated commitment to rigorous, innovative laboratory research, • Strong attention to detail and enthusiasm for translating basic science insights into drug discovery strategies, • Extensive experience with mammalian cell culture and aseptic technique, including cell-based assays assessing viability and function using siRNA, shRNA, CRISPR, and overexpression systems, • Proficiency in protein analysis methods such as Western blot, MSD, and ELISA, and gene expression analysis including qRT-PCR and RNA-seq, • Ability to independently develop, optimize, and troubleshoot mechanism of action assays; experience collaborating with CROs is a plus, • Experience with bioinformatics data analysis and visualization is advantageous, • Strong organizational skills with the ability to manage multiple projects and shifting priorities, • Excellent communication and interpersonal skills, with the ability to engage cross-functional teams and lead scientific discussions #IND-SPG Estimated Min Rate: $65.00 Estimated Max Rate: $75.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. 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DIRECT HIRE MUST HAVES: • BS or MS in Immunology, Biochemistry, or a related scientific discipline with 5 or more years of relevant industry experience in a drug development setting, • In-depth understanding and hands-on experience developing quantitative analyte and anti-drug antibody (ADA) assays for protein therapeutics and/or gene therapies, • Antibody-drug conjugate (ADC) experience characterizing immune responses (Immunogenicity) Position Overview We are seeking a highly motivated and creative Scientist to lead the development of bioanalytical and biomarker methods. This role is pivotal in supporting our biopharmaceutical pipeline within the AAV oncology therapeutic area. As a key member of the Non-clinical Development group, you will bridge the gap between early research and IND-enabling regulated studies, ensuring our novel therapies are supported by rigorous, state-of-the-art analytical data. Key Responsibilities In this role, you will be responsible for the technical execution of bioanalytical programs: • Method Development: Develop, characterize, and validate in vitro assay methods to:, • Quantify transgene expression levels across various species and biological matrices., • Detect and characterize immune responses (Immunogenicity) evoked by biotherapeutics (ADA, Luminex)., • Measure biomarkers and conduct biological characterization for regulatory filings., • Sample Analysis: Implement bioanalytical methods in non-clinical studies and perform on-site sample testing, • Data Analysis: Analyze and interpret bioanalytical data, establish validated statistical cutpoints, and perform regression analysis to determine limits of detection or construct standard curves, interpolate sample concentrations and antibody titers, • Timeline Management: Develop and manage timelines and resources to ensure project goals are met with precision., • Mentorship: Supervise and mentor other team members, fostering a culture of technical excellence., • Cross-Functional Collaboration: Work independently and alongside colleagues across various functional areas to support both research and regulated clinical studies., • CRO management: Work with external partners to develop and validate outsourced bioanalytical methods for GLP-regulated studies. Who You Are We are looking for a collaborator who thrives in a rigorous, entrepreneurial environment. You are someone who balances scientific curiosity with the disciplined execution required to bring medicines to patients. Required Qualifications: • Education: BS or MS in Immunology, Biochemistry, or a related scientific discipline., • Experience: A minimum of 5 years of relevant industry experience in a drug development setting, • Technical Mastery: In-depth understanding and hands-on experience developing quantitative analyte and anti-drug antibody (ADA) assays for protein therapeutics and/or gene therapies, • Platform Expertise: Proficiency with state-of-the-art technologies such as MSD, ELISpot, and Luminex., • Communication: Excellent interpersonal and organizational skills, with a proven track record of solving complex bioanalytical problems. Preferred Qualifications: • Specific expertise with AAV therapeutic development, • Familiarity with database and data archival software systems.

Kelly is hiring a Oligonucleotide Scientist II for one of our clients in South San Francisco, CA • Contract until 12/31/26 with potential to extend or convert to perm, • Standard M-F shift, • $45.45/hr The Position: We are seeking a creative, self-motivated, collaborative Contractor/Scientist-II to join the Nucleic Acid Design and Discovery (NADD) team within ProteinSciences (PS) department at Genentech. We are looking for a candidate with experience in oligonucleotide discovery and synthesis to support our new oligonucleotide therapeutics discovery group. Experience in delivery of oligonucleotide therapeutics, large molecule drug discovery, would be preferred. The successful candidate will join an interdisciplinary chemistry team working in RNAi biology research and will contribute positively to its developing culture. Key Responsibilities: ● 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 compound progression. ● Establish methods for scaled-up synthesis of lead molecules and coordinate material delivery for preclinical studies. ● Maintaining a high level of productivity in the laboratory setting to meet the timelines for in vitro and in vivo studies. Requirements: ● 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. ● Good communication and interpersonal skills are essential and will be evaluated during the interview process. ● The ideal candidate should be highly motivated and have strong problem-solving, analytical, communication and organizational skills. Who We Are A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer, and other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset and are dedicated to remaining a great place to work. The next step is yours. To apply today, click on the Apply online button. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page. At Genentech, we share salary ranges with applicants during the recruiting process, if requested. Third party salary estimates may not be accurate or up-to-date.

About Company :: Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many others About the Role We are looking for a Senior Manager of Data Science to lead the end-to-end design, development, and deployment of advanced machine learning solutions for supply chain demand forecasting and root cause analysis. This is a hands-on leadership role — you will architect the analytical framework, guide a cross-functional team of data scientists, and serve as the primary technical interface with senior stakeholders. Required Qualifications Experience • 12–15 years of progressive experience in data science, machine learning, or quantitative analytics — with at least 4 years in a lead or management role, • Proven track record delivering end-to-end ML pipelines in production environments — from raw data through model deployment and monitoring, • Hands-on experience with demand forecasting, supply chain analytics, or operations research in an industrial, manufacturing, or distribution context, • Demonstrated experience leading cross-functional analytics teams, including offshore or distributed team members, • Experience presenting complex analytical findings to C-level and VP-level stakeholders with measurable business impact Technical Skills • Expert-level proficiency in Python: scikit-learn, XGBoost, LightGBM, statsmodels, pandas, numpy, scipy, • Deep expertise in ensemble methods — gradient boosting (GBM, XGBoost, LightGBM) and random forest variants including quantile regression forests, • Proficiency in probabilistic forecasting: quantile regression, prediction interval construction and calibration, Winkler scoring, pinball loss, • Strong statistical foundation: hypothesis testing, KS tests, distribution shift detection, time-series analysis (ACF, PACF, change-point detection), • Experience with feature engineering for time-series and supply chain data: lag features, rolling statistics, Fourier encoding, interaction terms, • Proficiency with experiment tracking and MLOps tooling (MLflow, DVC, or equivalent); familiarity with CI/CD for ML pipelines, • Ability to write and review production-quality Python code; experience with SQL for data extraction and transformation, • Familiarity with cloud platforms (AWS, Azure, or GCP) for model training, deployment, and scheduled execution Education • Master's degree or PhD in Data Science, Statistics, Machine Learning, Operations Research, Industrial Engineering, or a related quantitative field, • Bachelor's degree in a quantitative discipline with equivalent industry experience considered Preferred Qualifications • Experience with intermittent demand modelling: Croston method, Syntetos-Boylan Approximation (SBA), ADI-CV² classification, • Familiarity with Forecast Value Add (FVA) frameworks and multi-layer forecast override governance, • Experience with inflection point detection and structural break analysis in demand time series, • Background in consulting or professional services — experience running client-facing analytical engagements with gate reviews and formal deliverables, • Familiarity with S&OP (Sales and Operations Planning) processes and integrated business planning cycles, • Experience deploying analytical tools in enterprise environments with IT security and compliance constraints, • Publications, conference presentations, or open-source contributions in ML, forecasting, or supply chain analytics People & Delivery Leadership • Lead, mentor, and develop a team of 3–6 data scientists across US and India; provide technical guidance, career development support, and performance feedback, • Define team roadmap, prioritise work streams, and ensure on-time delivery against project milestones — including intermediate client-facing outputs at each analytical phase, • Collaborate closely with the India-based Lead Data Scientist to ensure seamless coordination across time zones; act as the primary technical escalation point for the offshore team, • Conduct design validation workshops, cluster review sessions, and gate reviews with business stakeholders at each phase of the analytical cycle, • Translate complex ML findings into business-language reports and executive presentations, clearly communicating what was found, why it matters, and what action to take Privacy Notice Declarations for California based candidates/Jobs::

🔸 AI / ML Research Scientist | AI for Scientific Discovery (AI x Bio) 🔸 Competitive Base + Meaningful Equity 🔸 Hybrid (San Francisco) 🔸 AI-First Scientific R&D Company 👉 PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER We’re working with a well-capitalized, AI-native company building foundation models and learning systems to accelerate breakthroughs across biology and the life sciences. This team isn’t just applying AI to science - they are rethinking how science itself is done. From training models that can reason over biological systems to developing autonomous workflows that generate and test hypotheses, their work sits at the frontier of AI x Bio. They are hiring AI / ML Research Scientists to push the boundaries of what machine learning can do in real-world scientific discovery. This is a deeply technical, research-driven role with direct impact on how new therapies, insights, and technologies are created. 🔸 What You Will Work On • Develop novel machine learning approaches for modeling complex biological systems, • Train and adapt large-scale models (e.g. foundation models, multimodal systems) on scientific data, • Design systems that can reason, generalize, and generate testable scientific hypotheses, • Work closely with engineers and domain experts to bring research into real-world workflows, • Explore emerging paradigms (e.g. agentic systems, self-improving models, automated science) 🔸 What They’re Looking For • Strong background in machine learning / AI (PhD or equivalent industry experience), • Experience developing and training deep learning models from first principles, • Hands-on experience with modern architectures (transformers, diffusion, multimodal models, etc.), • Strong coding ability (Python, PyTorch and/or JAX) 🔸 Bonus Skills • Experience with biological data (genomics, proteomics, drug discovery, etc.), • Experience with large-scale model training or distributed systems, • Experience with LLMs, reasoning systems, or agentic workflows, • Background in reinforcement learning or generative modeling, • Track record of research (papers, open-source, or impactful industry work) 🔸 Location & Work Environment This is a hybrid role. While remote candidates in the Eastern Time Zone (U.S.) are welcome, there is a preference for individuals able to periodically collaborate in person with the team. Interested candidates should apply via direct message or LinkedIn application.

We are hiring a Senior Associate Scientist to review analytical data and electronic notebook entries for accuracy and adherence to SOPs. This is a fully remote part-time position with flexible working hours that requires strong organizational skills, clear communication, and a high level of attention to detail. This is a 12-month contract position offering 20-30 hours per week. Responsibilities • Review analytical assay data for adherence to SOPs and accuracy., • Review electronic notebook entries for completeness and accuracy., • Track shipping details for vendor-supplied samples., • Draft and update data analysis templates to reflect new and updated analytical methods and for continuous improvement., • Maintain organized records of review status of notebook entries and analytical data., • Contribute to reports, certificates, and other documentation supporting process development., • Collaborate effectively with team members and contribute to cross-functional activities. Qualifications • BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience., • At least 2 years of experience in an analytical development or quality control role., • Prior experience running colorimetric assays is required., • Prior experience with SEC-MALS is required., • Prior experience with SDS-PAGE is required., • Excellent attention to detail, organizational skills, and record-keeping abilities., • Ability to work both independently and collaboratively in a fast-paced environment., • Commitment to integrity, professionalism, and safety in all aspects of work. Pay • $56.00-$62.00/hr 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.

⚡ Recruiting Partner 🌎 San Francisco Bay Area, USA (onsite) 💸 $120,000 - $180,000 salary + bonus The role Recruiting Partner with approximately 8+ years of experience in the technology ecosystem. This is not a typical "recruiter" role; it is a critical operational position that combines high-level PhD/Research Scientist sourcing with the rigorous, high-volume coordination required to scale a top-tier lab. In a high-growth environment, the "bottleneck" is often the schedule. You will be the architect of our candidate experience, ensuring that every interview loop—no matter how complex or cross-continental—runs with "white-glove" precision. Responsibilities: 1. High-Volume Coordination & Scheduling (Primary Focus) • The "Scheduling Engine": Manage the complex, multi-stage interview calendars for all regional and international roles. This includes coordinating across multiple time zones., • Panel Optimization: Work with People Operations and Team Leads to ensure interview panels are balanced, diverse, and technically aligned. -Candidate Experience: Act as the primary point of contact for candidates, ensuring they are briefed, prepared, and supported from initial outreach to offer. 2. Full-Cycle Research Recruiting • Strategic Sourcing & Market Mapping: Conduct deep-market research and mapping to identify and engage world-class PhD talent across core and emerging AI domains, including Reinforcement Learning (RL), Post-training, Vision-Language Models (VLM), Diffusion, World Models, and Infrastructure., • End-to-End Search Management: Lead the full recruiting lifecycle from initial intake sessions with hiring managers to final closing. Develop tailored hiring strategies for niche research roles., • Stakeholder Management: Partner directly with Research Leadership and Team Leads to define role requirements, refine job descriptions, and calibrate candidate profiles through regular feedback loops., • Consultative Candidate Management: Serve as a brand ambassador and consultant to candidates, articulating the lab’s unique mission and technical roadmap to convert high-passive talent. 3. Talent Operations & Infrastructure • Compliance & Audit Readiness: Ensure all recruiting processes, documentation, and data tracking are fully compliant with federal and state labor laws (e.g., EEO, CCPA, and relevant California labor codes). Maintain an "audit-ready" environment for all hiring records and candidate data., • ATS Mastery: Take full ownership of our Applicant Tracking System. Ensure 100% data integrity, manage the referral pipeline, and provide weekly "Health of the Pipeline" reports to leadership., • Process Building: Evaluate and improve our hiring workflows. You will build the templates and playbooks that allow us to scale significantly., • Brand Ambassadorship: Help represent the lab at top-tier conferences to build our local and global talent brand. Requirements: • 8+ Years of Experience: Proven track record in Talent Acquisition, specifically within high-growth AI labs or Tier-1 tech firms., • Research Literacy: You must understand the difference between a "Software Engineer" and a "Research Scientist." Familiarity with the ML research ecosystem and PhD hiring cycles is essential. • Mastery of Complexity: Exceptional organizational skills. You should thrive in the "logistical puzzle" of scheduling multiple complex interview rounds per day without errors. -Communication: Ability to communicate with high-seniority executives and elite academic researchers with professional poise. • Tools: Expert-level proficiency in modern ATS platforms (experience with Lever is a significant plus), LinkedIn Recruiter, and productivity suites. 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

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: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. 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.

Join Yorke Engineering, LLC, an Environmental Consulting leader in California that implements Environmental Engineering and Compliance solutions for our clients throughout California. Our mission is to solve environmental compliance problems for industrial and governmental/infrastructure facilities. We are a growing and dynamic organization of highly respected professionals. Yorke Engineering, LLC has assisted over 1,400 client organizations with their Air Quality and Environmental Compliance, Engineering, and Permitting needs. Our philosophy is to efficiently help government and industrial customers with the complex array of environmental laws and regulations. From simple permits to complex agency negotiations, from small companies to the largest of California’s organizations, Yorke successfully solves our clients’ Air Quality and Environmental challenges. Our team has over 1,000 years of combined environmental experience and consists of engineers and scientists that specialize in Air Quality, Waste, Water, CEQA, Safety, and Industrial Hygiene. We are looking for a sharp Principal Air Quality Engineer/Scientist (Environmental Permitting and Compliance) to join our team in Northern CA. This is a full-time position at 40 hours per week in the bay area. We currently have offices in Berkeley and San Francisco but may open a new office based on candidate location. We offer competitive salaries, a full benefits package including Paid Time Off, Holidays, Full Medical/Dental/Vision, along with a 401k program with a generous company match. Position Summary: The Principal Air Quality Engineer/Scientist (Environmental Permitting and Compliance) performs professional engineering work, leading and executing the compliance and permitting functions in relation to Air Quality Regulations and Compliance. This candidate will be reviewing processes and equipment, analyzing permit-related technical and regulatory issues, and communicating those analyses within Yorke, the client organization, with government agencies and with the public at large. The work is challenging, broad in scope, and variable from project to project. The position involves effective communication, decision-making, and time management. The candidate performs other duties as required or assigned. This is a Principal level position. Positions at this level are assigned to perform the more complex and sensitive duties within air quality consulting. The employee in this position will be assigned to develop business, write proposals, train and mentor other employees, and/or monitor work produced by other employees. The candidate’s experience and qualifications we are seeking include: • 15-25+ years of work experience in the Air Quality and/or Environmental industry in an engineering role (preferably in a consulting environment);, • Experience in the environmental services industry focusing on leading Air Quality services:, • Process and equipment review;, • Air quality permitting under BAAQMD, SCAQMD, SJVAPCD and other Air Districts, including Title V Permitting;, • Annual Emissions Reporting;, • Air Dispersion Modeling;, • Air Quality Assessments including Data Analysis and Emission Inventories;, • General Air Quality Compliance for facilities in CA., • Ability to manage and lead active team members on project teams towards project completion within project scope, budget and schedule and ensure quality work product and deliverables;, • Ability to manage successful relationships with clients, staff, and regulators through effective communication and expertise by fostering a collaborative environment without losing focus of quality;, • Proven track record or desire to engage in successful regulatory work in dealing with the SCAQMD, BAAQMD, SJVAPCD, EPA, CARB and/or other similar regulatory agencies;, • Experience working on-site at client facilities;, • Prepare reports and submissions in timely manner;, • Experience with handling highly technical data and technical data interpretation;, • Highly motivated to continue working in Air Quality environmental field and expand their knowledge and experience;, • CA Regulatory/Compliance experience is required. Job Requirements: • B.S or M.S. degree in Chemical Engineering, Environmental Engineering, or Mechanical Engineering, or other relevant technical degrees from an accredited college;, • Ability to work collaboratively in a team fashion, handle several projects at once, prioritize work, and work efficiently;, • Desire to train and share technical expertise in environmental rules and regulations with clients and team members;, • Excellent oral and written communications skills;, • Experience in conflict resolution and crisis management;, • Track record of successful analysis, interpretation, and application of rules and regulations towards practical solutions;, • Ability to think critically and develop solutions;, • Software Knowledge:, • Strong Microsoft Excel, Word, Outlook, and Powerpoint skills (required);, • Microsoft 365 Applications, including Sharepoint (a plus), • P.E. Certification (a plus).

Senior Environmental Inspector/Biologist About A-T-S: Applied Technology & Science (A-T-S) is an integrated engineering and environmental firm headquartered in San Francisco. Our focus is water and energy infrastructure planning, design, construction management and compliance, natural resource management and data sciences and technology development including the use of geospatial and AI for public and private sector clients. Our portfolio of work includes projects and partnerships with public agencies, municipalities, private and non-profit organizations. A-T-S is accepting applications for an Environmental Inspector (EI)/Project Biologist/Environmental Scientist. As part of the Construction Management Team, the EI inspects, evaluates, verifies, and documents the compliance of construction activities according to environmental conditions and requirements contained in the CEQA documents, Mitigation Monitoring and Reporting Plan (MMRP), federal, state and local permits and construction documents/specifications. As part of the job, the EI, as the client’s representative, also provides recommendations to contractors to keep them in compliance. The EI is expected to understand BMP, storm water management, air quality, dust and noise minimization and coordinate the specialty expertise personnel in these areas. Responsibilities: • Conducts daily or routine inspections of environmental parameters and provides environmental awareness training., • Prepares daily environmental inspection logs and maintains compliance tracking materials., • Works closely with contractors and applies knowledge of permits and other project related documents to make quick decisions., • Establishes relationships with the client, contractors and other stake-holders., • May assist with other tasks as needed, including attending meetings to obtain and provide project updates, monthly and/or annual reporting, and assistance with the development of various plans (e.g., relocation, burrow protection, refueling, contractor submittals)., • May assist with non-EI related projects to perform plant and/or wildlife surveys, vegetation management monitoring, and contractor monitoring. Requirements: • 8+ years of consulting experience in the natural resources management field, 2 years of experience in construction monitoring and inspection., • Bachelor’s degree in Environmental Planning, Biology, Ecology, Environmental Studies, or a related field., • For candidates with biology degree, the experience level to be qualified/approved by CDFW and/or USFWS for species-specific work., • Experience working with and understanding CEQA (California Environmental Quality Act) requirements various environmental regulations., • Knowledge and experience with field data collection practices, data management, and preparation of technical documents., • Excellent communication and organizational skills (both written and verbal)., • Willingness to adapt to schedule changes (e.g., extended hours, shifting start and end times, night work, weekends), sometimes on short notice., • Ability to mentor and supervise junior staff., • Team player, self-directed, and detail oriented., • Can travel to project site(s) within the San Francisco Bay Area. Preferred (but not required) Qualifications: • Experience with various permits and for biologists holding a California Scientific Collector’s Permit, federal recovery permit, and/or a Memorandum of Understanding., • Master’s degree in environmental planning, Biology, Ecology, Environmental Studies, or a related field.

R&D Technician II (Biologics Sample Management) Location: South San Francisco, CA - 100% Onsite Required Contract: 6 Months - possible extension - Based on performance and business needs Hourly Rate: $31-35/hr (individual medical benefits available at a cost) We are seeking a dedicated R&D Technician II specializing in Biologics Sample Management to join our innovative research team. In this role, you will be responsible for managing biological samples, supporting various laboratory experiments, and ensuring compliance with Good Laboratory Practice (GLP) standards. The ideal candidate will possess a strong background in molecular biology, biochemistry, and laboratory techniques, contributing to the advancement of biologics research and development. This position offers an exciting opportunity to work at the forefront of biotechnology, supporting scientific discovery and product development. If you are passionate about advancing biologics research through precise sample management and innovative laboratory techniques, we encourage you to apply today. Join us in contributing to groundbreaking scientific discoveries that impact global health! What are the top 3-5 skills, experience or education required for this position: 1. Excellent organizational skills, attention to detail, and strong oral and written communications skills, 2. Multitasking, 3. Aseptic Technique, 4. Proficient in MS Excel, 5. At least 3 years experience in laboratory setting – sample management Job Details: We are seeking an experienced and motivated candidate to join our sample management team. The individual will be responsible for ensuring the integrity of biologics (proteins and cell lines) and compound research samples. Key responsibilities include, but are not limited to: sample check-in, fulfilling sample requests, maintaining inventory, and proper handling of all research samples. The successful candidate will work closely with supervisors and team members. Responsibilities: • Receive, check-in, and update information in inventory for the biological samples submitted by the scientist., • Store and maintain inventory of compounds and biological samples in LIMS database, • Fulfill dispersal requests (Biologics and Compounds) in a timely manner., • Weigh out compounds using an analytical balance, dissolve powders to prepare DMSO stock solutions, and manually pipette solutions as needed., • Support DMPK screening by dispensing compounds using TECAN D300e, • Utilize sterile techniques to handle samples during re-aliquoting and vial labeling/transfer., • Thaw, expand, bank cell lines (BSL-1, BSL-2) and quality control of cell line banks., • Submit and send out cell line samples for testing for Discovery departments., • Maintain traceability of all biological materials and associated data sets., • Perform routine maintenance of laboratory equipment and replenish consumables., • Report lab and inventory issues to supervisor or appropriate party Qualifications: • BS/MS or equivalent degree in biological sciences with 3+ years of experience in a laboratory setting either in an academia or industry., • Strong multi-tasking abilities to work in a fast-paced, customer focused, dynamic team environment, • Experience in working with automated storage systems and operating/programming various liquid handlers to facilitate sample processing is preferred, • Experience with inventory/request database systems for sample management is highly desirable, • Proficiency in Microsoft Excel is highly desirable, • Competent oral and written communication skills, • Self-motivated, deadline conscious, high degree of organization skill and attention to details; able to adapt to changing priorities and circumstances, • Ability to work in research labs and process biological samples is a strong plus People are our business worldwide Orion Group was founded in 1987 and is now one of the largest, independent, international recruitment companies. We have a network of 200 employees working from 24 offices, delivering a range of services – Talent Acquisition, Recruitment Outsourcing Services, Retained Search, Global Workforce Solutions, Completions & Commissioning and Materials Management – across 68 countries. As a global leader in workforce solutions, we recruit personnel across the Engineering & Technical, Office & Commercial, Scientific and Skilled Trades disciplines, for sectors including Oil & Gas, Life Science, Power & Utilities, Constructions & Infrastructure, Manufacturing and Renewables.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set 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 research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. 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:$273,000—$393,000 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 ___. 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.

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 ___. 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 ___. About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients. What you'll do: • Write production code in Python., • Design, launch, and analyze experiments to optimize ad campaigns., • Create reporting and analytics tools for the Data Science Team's customers., • Translate insights from reporting tools into tvScientific's Data Science Product. What we're looking for: • Ability to write and review production-level code in Python., • Strong statistics and ML fundamentals., • Desire to work in a fast-growing environment-comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process., • Experience defining and measuring the utility of new reporting and analytics tools., • Ability to quickly translate between DS Analytics & DS Product team., • Strong track record of providing high-quality service to the DS team's customers/stakeholders., • Adtech or CTV experience., • Teaching experience is a plus., • Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus., • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review), • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables In-Office Requirement 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. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___page to learn more about our working model. #LI-SM4 #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.

We're looking for a Principal Applied Research Scientist to join Procore's AI & Frontier Models organization. In this role, you'll lead applied research and system development at the intersection of machine learning, spatial reasoning, and construction data to solve some of the industry's most complex and ambiguous problems. The primary goal of this role is to build defensible spatial intelligence capabilities that extract value from drawings, BIM, and site data today while laying the foundation for 3D understanding, autonomy, and robotics tomorrow. As a Principal Applied Research Scientist, you'll partner with ML engineers, software engineers, product leaders, and construction domain experts to design, prototype, and deploy frontier ML systems that translate research into measurable business outcomes. Use your expertise in applied machine learning, largescale data systems, and technical leadership to drive stepchange improvements in constructability, risk reduction, and operational efficiency. This is a rare opportunity to shape Procore's longterm technical direction in spatial intelligence while delivering nearterm ROI-join us and help define the future operating system of construction. Apply today. This position reports into the Engineering Manager and will be based in our San Francisco office. We're looking for someone to join us immediately. * Lead the technical vision, design, and execution of applied research initiatives focused on spatial intelligence across 2D drawings, BIM, and site data. * Design, train, and evaluate machine learning models for constructability analysis, clash detection, and design risk identification. * Build highquality, proprietary annotated datasets and define data strategies that create longterm competitive advantage. * Translate ambiguous research problems into concrete system designs, proofs of concept, and productionready ML pipelines. * Partner closely with engineering and product teams to integrate research outputs into scalable, reliable systems. * Act as a technical SME for spatial intelligence, mentoring senior engineers and researchers across the organization. * Author and review technical documentation, white papers, and design proposals that shape Procore's AI strategy. * Proactively identify gaps in technical strategy and architecture, and independently drive solutions that improve system quality, robustness, and impact. * PhD or Master's degree in Computer Science, Machine Learning, Robotics, Computer Vision, or a related field, or equivalent depth of practical experience. * 12+ years of experience (or equivalent depth) building and leading complex machine learning or software systems in production and/or applied research environments. * Demonstrated ability to set technical direction and independently lead highimpact initiatives across multiple teams or a significant business concern. * Deep expertise in applied machine learning, with a track record of translating research ideas into scalable, reliable systems that deliver measurable outcomes. * Strong foundation in computer science fundamentals, including algorithms, data structures, distributed systems, and system architecture. * Proven ability to operate effectively in highambiguity problem spaces, using data, experimentation, and proofofconcept work to create clarity and alignment. * Experience mentoring senior engineers and researchers, and serving as a technical authority and escalation point across an organization. * Excellent communication skills, with the ability to represent technical strategy, tradeoffs, and outcomes to senior leadership and crossfunctional stakeholders. Nice to have experience with technologies such as: * ML & Model Development: PyTorch, TensorFlow, largescale pretraining or finetuning workflows, multimodal or foundation models * Spatial Intelligence & Perception: Computer vision, document and diagram understanding, geometric or graphbased reasoning, 2D/3D representations * Data & Research Infrastructure: Largescale dataset creation and curation, annotation pipelines, distributed training, experiment management * Systems & Architecture: Designing and evolving MLpowered platforms and services, crossdomain integrations, reliability and performance at scale * Cloud & Compute: GPU/acceleratorbased training and inference, containerized systems, Kubernetes, cloud platforms (AWS, GCP, or equivalent) * Evaluation & Operations: Defining evaluation frameworks, model validation strategies, monitoring, and costaware optimization in production Base Pay Range: 253,552.00 - 348,634.00 USD Annual This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

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:$197,400—$246,750 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 ___. 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.

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 AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • 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 designing control and monitoring experiments for AI systems, building prototype systems, 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 with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). 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:$197,400—$246,750 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 ___. 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.

Title: Scientist III, Computational Pathology Location: Can be Hybrid or remote in South San Francisco, CA Duration: 1 year (possibility of extension) Purpose: The Precision Medicine Pathology team drives the scientific strategy for translational tissue-based biomarker development & discovery target validation/MOA projects, leads pathology collaborative programs, conducts histopathological evaluation & analysis of IHC & spatial biology technologies, and provides technical/scientific leadership to histotechnicians & pathology scientists. The successful candidate will have advanced knowledge and experience analyzing spatial transcriptomics and proteomics data generated on the CosMx SMI and PhenoCycler Fusion platforms. Responsibilities: • Implementation of different scripts and pipelines for spatial transcriptomics data analysis and analysis of high-plex PhenoCycler Fusion (CODEX) images., • Independently performing end-to-end high-plex image analysis (tissue classification, cell segmentation, detection of marker positivity, cell phenotyping, unsupervised clustering, neighborhood analysis, proximity analysis)., • Acting as a subject matter resource and training other team members in spatial analysis tasks., • Collaborating with pathologists and digital pathology scientists to support spatial biology projects., • Presenting the results and findings from spatial biology studies to stakeholders. Qualifications: • MSc, PhD, or equivalent degree in biological sciences / computational biology / engineering / computer science / informatics, • Fluency in Python and R, • Experience in implementing and utilizing open-source scripts and pipelines for high-plex image analysis, • Experience in quantitative digital pathology analysis platforms such as Halo, Visiopharm, QuPath, • Close familiarity with tissue microscopic anatomy and histology (normal and diseased) is a plus, • Excellent verbal communication skills are required including the demonstrated ability to effectively and clearly summarize results for presentation and report generation, • Strong motivation, attention to detail, ability to think independently and fully integrate into a high achieving team environment, • Ability to multi-task and manage multiple projects.

Open date: October 16, 2025 Most recent review date: Friday, Oct 31, 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: Friday, Apr 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. UCSF School of Medicine and UCSF Benioff Children's Hospitals Department of Pediatrics Professional Researcher Series The Department of Pediatrics at the University of California, San Francisco, and UCSF Benioff Children's Hospitals are recruiting candidates for appointment within the Professional Researcher Series at the Assistant, Associate, or Full rank. Rank is commensurate with experience. Candidates appointed in this series will be expected to demonstrate continuous and effective engagement in independent and creative research activity of high quality and significance. Required qualifications: • A candidate for a title in this series must have earned a doctorate or its equivalent. Preferred qualifications: • Demonstrate success in grant submissions., • Demonstrate success in mentorship and training., • Completion of post-doctoral fellowship. Job Description: • Develop and conduct research projects in the laboratory of an established Principal Scientist with minimal guidance., • Maintain productive interactions with laboratory staff members and postdoctoral fellows., • Participate in experimental design, data analysis and interpretation and in preparing and presenting research results in scientific settings. See Table 13B for the salary range for this position. A reasonable estimate for this position is $93,400 - $248,400. The University of California, San Francisco (UCSF) is one of the nation's leading biomedical research institutions. UCSF has consistently ranked among the top public institutions in National Institutes of Health (NIH) funding, reflecting a long-standing commitment to advancing scientific discovery and improving health. The Department's clinical enterprise spans UCSF Benioff Children's Hospital San Francisco, UCSF Benioff Children's Hospital Oakland, Mount Zion, Zuckerberg San Francisco General, and multiple outreach clinics throughout Northern California, providing unparalleled opportunities to serve infants, children, and young adults across the Bay Area. For 2024-2025, UCSF Benioff Children's Hospitals ranked in all 10 children's specialties in U.S. News & World Report. Located in a region renowned for groundbreaking innovation, UCSF and the Department of Pediatrics bridge research and industry to drive the future of medicine. 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

The Position A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Genentech. A postdoctoral fellow position is available for a highly motivated and independent scientist to join the laboratory of Baris Bingol in the Department of Neuroscience at Genentech. The Bingol lab investigates the molecular mechanisms of neurodegeneration, with a particular focus on neuronal and glial proteostasis. This position will center on elucidating the molecular mechanisms of lysosomal and mitochondrial quality control in the context of neurodegenerative diseases, including Alzheimer's Disease, Parkinson's Disease, and Amyotrophic Lateral Sclerosis. This fellowship offers a unique opportunity to contribute to target discovery efforts and to perform mechanistic studies to understand how human genetic variants disrupt organelle and protein quality control pathways. Candidates with a strong track record in mechanistic molecular and cellular neurobiology research are encouraged to apply. The successful candidate will leverage cutting-edge technologies-including proteomics, lipidomics, next-generation sequencing, CRISPR, iPSC-derived and primary culture models, in vivo systems, and AI/ML-supported computational biology-to uncover fundamental disease mechanisms. The Opportunity • Collaborate productively with researchers across departments, present your work to project teams, and publish as first author on scientific publications., • Join a vibrant Neuroscience community that includes leaders in discovering the molecular causes and therapeutic targets for neurodegenerative diseases., • Participate in the Genentech Postdoctoral Program, which provides an exceptional environment for pursuing fundamental scientific questions and driving breakthrough discoveries. Who You Are • Ph.D. in a relevant field with a strong track record of excellence in cellular and molecular neuroscience., • Must have advanced at least one key research project focusing on mechanistic research, as evidenced by a first-author paper published or accepted in a leading peer-reviewed journal., • An independent, resilient scientist with outstanding communication skills and a strong intrinsic drive, who thrives in a collaborative team environment., • Motivated by identifying novel therapeutic targets for neurodegenerative diseases. Preferred Qualifications • Hands-on experience with iPSC-based cultures of CNS cell types, primary rodent cultures, and genetic perturbation methods., • Deep understanding of molecular mechanisms relevant to neurodegeneration, particularly mitochondrial or lysosomal pathways., • Proven track record of success in wet-laboratory experimentation., • Working knowledge of large-scale data analysis (e.g., RNA-seq, proteomics)., • Excellent data organization, presentation, and communication skills. For more information about the Bingol Lab, please see link below: The expected salary range for this position based on the primary location of California is $98,000 to $104,500 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for the benefits detailed at the link provided below. Relocation benefits are available for this job posting. Postdoc Program Elevate your research career to new heights with Genetech's Postdoctoral Program! Join a prestigious community of early career scientists and kick-start your journey toward becoming a scientific leader in biotechnology and bioengineering. With competitive salaries and fully funded research expenses, you can dedicate yourself to groundbreaking research that aligns with Genentech strategic ambitions. The postdoc program is designed to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary to develop into an independent scientist and leader. The___ provides access to world-class seminars, professional development workshops, and networking opportunities. Apply now to the Genentech Postdoctoral Program and unlock your full potential! #LI-PL1 #postdoc Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form ___.

Senior Computational Scientist - Scientific Affairs - REMOTE (USA) As a Senior Computational Scientist in Scientific Affairs, you will work at the interface of product development and evidence generation to advance the performance, clinical adoption, and patient access of Myriad's products, particularly Precise MRD. You will use your computational biology expertise, in collaboration with internal R&D and clinical teams, to carry out studies on existing or nascent Myriad technologies/products. Your focus on quality and innovation will be critical to Myriad's successful partnerships with leading academic centers and biopharma companies and will help our products reach their full potential. Responsibility * Analyze data from research and clinical studies, present results to internal stakeholders and to external partners, and ensure successful completion of the studies * Author and review scientific manuscripts, abstracts, and conference presentations to communicate key findings and innovations from Myriad's research efforts, often in direct collaboration with partners in academia, pharma, and community medicine * Partner with clinical development and biopharma teams to initiate MRD partnerships and prioritize opportunities for the business * Distill learnings from research and clinical data to identify areas of improvement in our assays, and as appropriate, actively implement those improvements * Mentor junior scientists and research associates, guiding the overall path and success of key projects * Use expertise in genomics and oncology to help guide Myriad's strategy for MRD product development and clinical applications Qualifications * PhD with 4+ years of industry experience in applying genomic technologies for clinical applications or product development * Strong computational skills in Python or R for data analysis and presentation * Track record of scientific communication, such as through peer-reviewed publications and presenting at national conferences * Experience developing analysis methods, algorithms, and pipelines, particularly with next generation sequencing (NGS) data * Working knowledge of nucleic acid chemistry and genetics * Preferred experience in R&D with non-invasive technologies, oncology, and regulated clinical diagnostic products (CLIA, FDA) Applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder) We take geographic location into account when determining base salary to ensure equitable and competitive compensation EEO We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. In hiring and all other employment decisions, we prohibit discrimination and harassment on the basis of any protected characteristic, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. #ComputationalBiology #Genomics #Oncology #MRD #PrecisionMedicine #ScientificCareers #BiotechJobs #LifeSciences #DataScience, #MyriadGenetics #LifeAtMyriad #Hiring #ComputationalBiology #Genomics #PrecisionOncology #MRD #BiotechCareers #DiversityInSTEM, #LI-KO1

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 Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's strategy in the Ads space. What you'll do: • Deep strategic analysisto answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?, • Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on ? Write clear, actionable analyses that help teams identify areas of improvement and investment., • Modeling: Build segmentation models to assess supply to inform pricing strategy., • Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc., • Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time)., • Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. What we're looking for: • Bachelor's/Master's degree in a relevant field such as Data Science, or equivalent experience, • 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • Strong fundamentals in statistics, experimentation., • Domain knowledge in ecosystem, ads, or real-time-bidding., • Proven ability to apply scientific methods to solve real-world problems on web-scale data., • Proficiency in SQL/Hive/Python. Relocation Statement: This position is not eligible for relocation assistance. Visit our ___ page to learn more about our working model. #LI-HYBRID #LI-JT6 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$164,428—$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.

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. • Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers., • Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models., • End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation., • Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation., • Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems., • Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology., • 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis)., • Proven track record of shipping high-quality data products, models, or features at scale., • Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions., • Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets., • Ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI., • Excited to join a dynamic, hybrid team in either San Francisco or New York City., • Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant)., • Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems., • Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray)., • Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. 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 ___. 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.

100% Remote! PhD required This Jobot Consulting Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80 - $150 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical. You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research → production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10–15 years of experience in data science, econometrics, or advanced analytics Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical— hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

The Position A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Genentech. Genentech's Department of Human Genetics sits at the center of our precision medicine strategy. We combine large-scale human genetic evidence with rich molecular, cellular, and clinical data to uncover causal disease biology and translate it into actionable targets, biomarkers, and patient stratification strategies. THE OPPORTUNITY We are seeking a Principal Scientist (Bioinformatics track) to lead cutting-edge statistical genetics and AI/ML-enabled "sequence-to-phenotype" research that directly accelerates target discovery and translation-particularly in Neuroscience (e.g., Multiple Sclerosis, Parkinson's disease, ALS). This is a methods-forward role for a scientist who thrives at the interface of human genetics, multimodal genomics, and machine learning, and who wants to see their work influence real therapeutic decisions. In this role, you will: • Lead end-to-end human genetics analyses across array and sequencing cohorts, including rigorous QC, GWAS, fine-mapping, colocalization, gene prioritization, and rare-variant association (e.g., gene-based burden and variance-component approaches), with attention to multi-ancestry and bias/robustness., • Integrate genetics with functional and multimodal genomics, including single-cell and multiome (RNA/ATAC), molecular QTLs, and perturbation datasets to identify causal genes, implicated cell types/states, and mechanistic hypotheses., • Advance and operationalize AI/ML for genomics by evaluating and adapting modern sequence-to-function approaches for coding and noncoding variation-and critically, establishing reliability gating (calibration, uncertainty quantification, and robust benchmarking) so model outputs are decision-ready rather than purely exploratory., • Translate model outputs into genetics-ready quantities (e.g., fine-mapping priors, rare-variant weights, mechanism-linked scores) that improve discovery power and interpretability while enabling systematic, repeatable locus-to-biology workflows., • Anchor evaluation in experimental and real-world evidence, leveraging perturbation ground truth (e.g., reporter assays, CRISPR/base-editing studies, multiplex functional assays) and genetics/omics benchmarks to assess generalizability across cell states and datasets., • Build scalable, reusable software and workflows that make advanced genetics and AI methods broadly accessible-prioritizing reproducibility, documentation, and production-quality standards., • Provide scientific leadership and mentorship, partnering closely with cross-functional computational and experimental teams to shape strategy, communicate results clearly, and drive high-impact deliverables that inform research and development decisions., • Maintain scientific excellence through publications, conference presentations, and contributions to strategic external collaborations. Example focus areas you may lead include: • Building a neuroscience-focused variant interpretation capability that links coding and noncoding variants to molecular function and disease-relevant phenotypes, with confidence scoring and integration into downstream genetics workflows., • Multiomic-first locus interpretation from fine-mapped signals to causal genes, cell states, and regulatory mechanisms, • Structure-guided rare-variant discovery and interpretation frameworks, • Genetics-informed patient stratification and biomarker development using deep phenotyping and clinically relevant outcomes WHO YOU ARE • PhD in Statistical Genetics, Computational Biology, Bioinformatics, Biostatistics, Machine Learning, Computer Science, or a related quantitative field, followed by postdoctoral experience, • Demonstrated scientific impact through high-quality peer-reviewed publications and conference presentations, with evidence of intellectual leadership (e.g., first/corresponding author), • Deep expertise in human/statistical genetics spanning common- and rare-variant methods, study design, and rigorous inference, • Strong statistical and programming skills (e.g., Python and/or R) and commitment to reproducible science (version control, testing, workflow management, documentation), • Experience working with large-scale genomics datasets and modern compute environments (cloud and/or HPC), • Proven ability to lead complex, ambiguous scientific problems end-to-end and deliver robust solutions, • Excellent communication and collaboration skills with the ability to influence across disciplines PREFERRED • Demonstrated track record developing and/or scaling reusable analytics pipelines, platforms, or libraries used by multiple teams, • Strong experience integrating genetics with single-cell/multiome data, molecular QTLs, functional genomics, and perturbation evidence, • Applied experience with ML for genomics, including benchmarking, calibration/uncertainty, model reliability, and transfer/generalization assessment, • Interest or prior experience in neuroscience, neuroimmunology, or neurodegeneration (helpful but not required) Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is $150,700 to $279,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form ___.

Open date: December 9, 2025 Most recent review date: Sunday, Feb 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, Jun 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. The Department of Radiation Oncology at UCSF, in the laboratory of Dr. Alon Witztum (Clinical Automation and Data Driven Insights - CADDI Lab), is seeking a highly motivated scientist/programmer for a Junior Specialist position focused on building the next generation of radiation oncology data infrastructure. Position Overview: The Junior Specialist will assist in developing and automating data pipelines that integrate Epic, ARIA, and departmental databases into a unified informatics environment aligned with the O3 (Operational Ontology for Oncology) data model. We are looking for an organized, detail-oriented individual who can standardize heterogeneous clinical data, support real-time data requests, and contribute to multi-institutional data collaborations. The position will involve preparing datasets for clinical and research initiatives and supporting the development of research-ready databases. This role offers valuable experience at the intersection of clinical informatics, data science, and radiation oncology, preparing candidates for future growth in research, data engineering, or graduate/professional programs. Required Qualifications: • Bachelor's degree in Data Science, Computer Science, Biomedical Engineering, Physics, or a related quantitative field and / or equivalent experience / training., • Proficiency in SQL, including table design, joins, stored procedures, and optimization., • Working knowledge of Python for data manipulation, transformation, and visualization., • Understanding of the concepts underlying relational databases., • Knowledge of secure software development., • Demonstrated software repository skills., • Demonstrated ability to follow software specifications., • Demonstrated effective communication and interpersonal skills., • Demonstrated problem-solving skills., • Strong communication skills, with the ability to translate technical concepts for non-technical users., • Self-motivated, detail-oriented, and capable of working both independently and collaboratively., • Able to learn effectively and meet deadlines. Preferred Qualifications: • Minimum of 1 year of related experience., • Advanced SQL knowledge., • Experience with Health Care related data., • Experience with Epic, Cogito, and/or Clarity., • Familiarity with HL7-FHIR., • Experience with Streamlit, Shiny, or similar front-end tools., • Experience with Tableau or similar self-service analytics tools. Key Responsibilities: • Maintain detailed documentation of data pipelines, workflows, and results., • Extract, clean, and organize clinical data from Epic and departmental databases., • Assist in developing automated scripts and ETL processes aligned with the O3 data model., • Generate descriptive analyses, visualizations, and summary reports for clinical and research teams., • Collaborate effectively with faculty, staff, and trainees to support project progress and data needs., • Contribute to the development of self-service analytics tools., • Ensure adherence to data governance, HIPAA requirements, and UCSF security standards. Please apply online at . Applicants' materials must list current and/or pending qualifications upon submission. 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

Open date: December 3, 2025 Most recent review date: Thursday, Jan 1, 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, Jun 3, 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. Part Time Junior Specialist Position - University of California, San Francisco The Nakamura Laboratory in the Department of Radiation Oncology at UCSF is seeking a motivated scientist interested in human cognition and human-based studies. The part time junior specialist will be working on translational research projects that focus on human cognitive function and developing innovative brain imaging approaches and analyzing molecular biomarkers to study molecular predictors of memory function in adult research subjects Position Overview: The specialist will assist with study coordination and work as a member of a multi-disciplinary team that includes oncologists, neurologists, radiologists, post-doctoral fellows and graduate students. The specialist will assist with coordinating the collection of blood sample tubes from participating study subjects and work with team members to process the blood samples for subsequent genetic and protein analysis. The specialist will handle human blood samples and perform processing steps in the laboratory to isolate DNA and other molecules for analysis. The specialist will help maintain accurate records and inventory of samples and prepare progress reports. We aim to provide valuable experience to prepare candidates for future career growth. Required Qualifications: • BS or BA in a STEM major strongly preferred, • Prior laboratory experience preferred, • Strong written and verbal communication skills. Key Responsibilities: • Maintain detailed records and documentation of experiments and data., • Excellent organizational and communication skills are required, and the ability to work as part of a team., • Coordinate assembly of progress reports. Please apply online at . Applicants' materials must list current and/or pending qualifications upon submission. 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

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

Open date: January 13, 2025 Most recent review date: Friday, Oct 3, 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: Monday, Jul 13, 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 Researcher Positions Available UCSF Department of Pharmaceutical Chemistry The various laboratories in the UCSF Department of Pharmaceutical Chemistry have Assistant/Associate/Full Researcher Positions available immediately. Title and salary will be commensurate with level of experience. The Department of Pharmaceutical Chemistry includes diverse research in the areas of computational and synthetic chemistry, biophysics, chemical biology, systems and synthetic biology, enabling technologies, and drug discovery. Our department is characterized by a culture of collaboration and innovation in biomedical science. We seek creative candidates who will assist in performing studies to address the fundamental questions in diverse areas relevant to our Department. The individual is expected to: • Contribute high-quality data for research grants, manuscripts, and scientific presentations., • Mentor graduate students, post-doctorate fellows, and junior staff and provide guidance on study design, data analysis, and innovative methodologies., • Oversee project progress, coordinate partner efforts, and report outcomes to leadership and funding agencies., • Assists in identifying new funding opportunities, coordinating submission of new project proposals, and preparation of manuscripts. This position requires a scientist qualified for independent research at the level of principal investigator and is for the job classification of Professional Researcher. It is not a faculty research position. Requirements: A doctorate or its equivalent degree. The candidate must have at least one year experience working in a lab and research environment and proven ability to work well as part of a team and have enthusiasm for the practice of science. Candidates must meet the required qualifications at the time of appointment. Candidate's CV and/or cover letter must state qualifications or if pending upon submission. Please apply online and submit your CV, cover letter, and three references through AP Recruit via: See Table 13B for the salary range for this position. A reasonable estimate for this position is $90,200-$240,000. Document requirements * Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.). * Cover Letter * 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

N_IHA-Administration Part Time 88035BR Job Summary Uses skills as a bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. Keep up to date on technological advancements in the areas of clinical data processing, including but not limited to Natural Language Processing, Machine Learning, Advanced Analytics; bring awareness to the technical team of new technologies that could have a bearing on Information Commons features and roadmap. Oversee service delivery on specific projects, user service requests, and operational activities. Key responsibilities: • Research team engagement, collaboration with key researchers, • Management of key projects 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 $101,300 - $216,700(Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ___ Department Description The Institute for Health & Aging (IHA) is the University of California's first campus-wide organized research unit (ORU) devoted to the study of health and aging and is the only ORU in the UCSF School of Nursing. The work of the institute includes extensive and successful research, training and public service in the areas of aging, health and health policy. Since being established in 1985, IHA has been successful in obtaining $326 million in extramural funding and establishing partnerships and collaborations within the university as well as with external groups, particularly with the California Department of Public Health. Research conducted at IHA has contributed to the passage of many policies on important public health concerns including tobacco use and control, Medicaid waivers for community supports and services, chronic care management, breast cancer and cervical cancer screening, and nursing home regulation and oversight. Additionally, research at IHA has bolstered efforts to protect and preserve important public health programs such as Medicare, Medicaid and Social Security. Required Qualifications • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training., • Minimum of 3 years of related experience, • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures., • Thorough knowledge of bioinformatics programming design, modification and implementation., • Understanding of relational databases, web interfaces, and operating systems., • Strong project management skills., • Thorough knowledge of modern biology and applicable field of research., • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization., • Ability to communicate technical information in a clear and concise manner., • Ability to interface with management on a regular basis., • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills., • PhD in Epidemiology, biological science, computational/programming, or related area, • Demonstrated application knowledge of Large Scale data in the field of Health/Medicine data, • Experience working with principal investigators (PI's) in research setting. The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at ___ Join us to find a rewarding career contributing to improving healthcare worldwide. Equal Employment Opportunity 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. Organization Campus Job Code and Payroll Title 005227 BIOINFORMATICS PROGR 3 RP Job Category Technical & Technologist Bargaining Unit Research and Public Service Professionals (RP) Employee Class Limited Appt Percentage 50% Appointment End Date 31-Aug-2026 Location San Francisco, CA Campus Mission Bay (SF) Work Style Flexible Shift Days Shift Length Variable Additional Shift Details M - F, 8am - 5pm

Open date: March 26, 2025 Most recent review date: Monday, Aug 4, 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, 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: 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

The Position The Opportunity We are seeking a creative and highly motivated Principal Scientist, Medicinal Chemist to join our R&D team. This is a primarily lab-based, technical leadership position within the Peptide Therapeutics department. In this lab-based leadership role, you will combine hands-on synthetic expertise with strategic oversight, driving the discovery and optimization of peptide therapeutics across the full development lifecycle. Key Responsibilities 1. Synthetic Execution & Lab Leadership • Primary Bench Driver: Execute the multi-step synthesis of peptides, peptidomimetics, and novel, non-commercial building blocks or scaffolds., • Synthetic Mastery: Utilize expert-level skills in solid-phase peptide synthesis, solution-phase organic chemistry, and specialized macrocyclization or ligation strategies., • Analytical Rigor: Personally oversee high-resolution analysis (HPLC, Mass Spec, NMR) to confirm compound identity and ensure the delivery of high-purity materials. 2. Strategic Design & Technology Innovation • Apply conformational analysis, structure-based design, and computational modeling (e.g., MD simulations) to optimize potency, stability, and pharmacokinetics. Drive polycyclization strategies to improve drug-like properties., • Lead Optimization: Implement strategic SAR plans and Multi-Parameter Optimization to advance candidates from early hits through to IND-enabling studies. 3. Collaborative Leadership • Lead multidisciplinary project teams, serving as the technical bridge between Peptide Therapeutics, Research Biology, Drug Discovery, and Therapeutic Areas., • Supervise and mentor junior scientists directly at the bench, fostering a culture of technical excellence and scientific innovation. Who You Are • Education: Ph.D. in Organic or Medicinal Chemistry (or related field) with 3+ years of relevant postdoctoral or industry experience., • Synthetic Expert: Proven mastery of both SPPS (manual and automated) and complex solution-phase organic synthesis., • Design Savvy: Deep knowledge of macrocyclic peptides, various routes of administration (IV, SC, PO), and library-based screening (e.g., mRNA display, AS/MS, OBOC)., • Computationally Proficient: Experienced in using software (Schrödinger, MOE, Maestro) for molecular dynamics, conformational sampling, and AI/ML-driven sequence optimization., • Effective Communicator: Ability to present complex technical data and strategic roadmaps to global cross-functional stakeholders. Relocation benefits are available for this posting. The expected salary range for this position based on the primary location of California is $143,200 to $265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form ___.