machine learning research scientist / engineer, reasoning Jobs in San Francisco

machine learning research scientist / engineer, reasoning

machine learning systems engineer Jobs in San Francisco

machine learning systems engineer

scientist 2- 202505-110898 scientist 3, translational medicine (immunology and respiratory) Jobs in San Francisco

scientist 2- 202505-110898 scientist 3, translational medicine (immunology and respiratory)

senior data scientist, reliability Jobs in San Francisco

senior data scientist, reliability

senior software engineer Jobs in San Francisco

senior software engineer

machine learning research scientist engineer reasoning

Scale AI

<div><p><b>About Scale</b></p>
<p>
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.</p>
<p><b>
About This Role</b></p>
<p>
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. <b>You will contribute to impactful research on language model reasoning</b>, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.</p>
<p><b>
Ideally, you'd have:</b></p>
<ul>
<li><p>Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.</p>
</li>
<li><p>A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).</p>
</li>
<li><p>At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.</p>
</li>
<li><p>Strong written and verbal communication skills, along with the ability to work effectively across teams.</p>
</li>
</ul><p><b>Nice to have:</b></p>
<ul>
<li><p>Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.</p>
</li>
<li><p>Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.</p>
</li>
<li><p>Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.</p>
</li>
<li><p>Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.</p>
</li>
<li><p>Proficiency in cloud-based ML development, with experience in AWS or GCP environments.</p>
</li>
</ul><p>Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. <b>We do not conduct LeetCode-style problem-solving assessments.</b></p><div><p><b><i>
PLEASE NOTE: </i></b><i>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.</i></p>
<p><b>
About Us:</b></p>
<p><i>
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.</i></p>
<p><i>
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.</i></p>
<p><i>
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 accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></p>
<p><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></p>
<p><b><i>
PLEASE NOTE: </i></b><i>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 </i><i>privacy policy</i><i> for additional information.</i></p></div></div>

Machine Learning Research Scientist / Engineer, Reasoning

Cambio AI Inc.

<div><p>Cambio is a software platform that enables world-class real estate decarbonization. We help commercial real estate owners and tenants bring their real estate portfolios to net-zero using a machine learning-driven, end-to-end real estate sustainability platform. Our mission is to take the real estate industry into the climate action era.</p><p>
We are proud to be the fastest growing startup in our category, with world-class partners and investors including Y Combinator, Google, the U.S. Department of Energy, Stanford University and Fifth Wall. We are seeking team members who are passionate about building transformative products, enthusiastic about problem-solving, and excited to work at the forefront of climate and real estate technology. Join us on our mission to achieve net zero by 2050.</p><p></p><p><b>
The Role</b></p><p>
As a Building Engineer at Cambio, you will play a critical role in collaborating with our customers to implement their net-zero strategy for building sustainability. You will work alongside our Data Science team and our decarbonization machine learning models to analyze and implement best-in-class, energy-saving retrofit recommendations at our customers&rsquo; properties. Your expertise in building science and engineering will not only help ensure that our model-recommended solutions are practical, effective, and aligned with industry standards but also push forward the capabilities of our automated decarbonization platform.</p><p></p><p><b>
What You Will Be Doing</b></p><ul><li><p><b>
Building Retrofit Analytics:</b> Apply Cambio&rsquo;s best-in-class ML models to generate energy conservation measures at hyper-scale for our real-estate customer</p></li><li><p><b>
Customer Collaboration:</b> Work closely with commercial real estate owners to understand their needs and develop their path to net zero across their portfolios.</p></li><li><p><b>
Compliance and Regulatory Analysis:</b> Assist in delivering retrofit projects which comply with local, state, and federal regulations and help improve Cambio&rsquo;s automated regulatory analytics.</p></li><li><p><b>
Performance Monitoring:</b> Monitor the performance of retrofitted buildings and help analyze pre- and post-retrofit energy outcomes, cost savings, and carbon impact to further improve Cambio&rsquo;s impact for customers.</p></li><li><p><b>
Data Science Collaboration:</b> Work alongside our Data Science team to expand and refine the physics-based building science models underlying the Cambio decarbonization platform, e.g., by integrating data from building science datasets to improve the accuracy and effectiveness of model retrofit recommendations.</p></li></ul><p></p><p><b>
Impact</b></p><p>
In this role, you will achieve the following key accomplishments in your first 12-18 months:</p><ul><li><p>
Successfully help our customers implement retrofit projects that significantly reduce energy consumption and carbon emissions across their portfolios.</p></li><li><p>
Establish strong relationships with top real estate investor customers, serving as a trusted advisor as they deploy capital assets to decarbonize commercial real estate.</p></li><li><p>
Improve Cambio&rsquo;s machine learning models by applying building engineering expertise to enhance model effectiveness.</p></li><li><p>
Contribute to the development of best practices and standards for building decarbonization within Cambio.</p></li><li><p>
Provide insights and feedback to our product and engineering teams to continuously improve our platform.</p></li></ul><p></p><p><b>
Qualifications</b></p><ul><li><p><b>
Educational Background:</b> Bachelor&rsquo;s degree in Building Science, Engineering, or a related field. Professional Engineer (P. Eng or P.E.) designation strongly preferred.</p></li><li><p><b>
Experience:</b> 5+ years of experience in building engineering, with a focus on retrofit projects and energy efficiency. Experience signing &amp; sealing projects as engineer of record (EOR) strongly preferred.</p></li><li><p><b>
Technical Skills:</b> Proficiency in building systems analysis and construction implementation, including systems design, site evaluation, energy modeling, and cost estimation.</p></li><li><p><b>
Analytical Ability:</b> Outstanding analytical skills with the ability to interpret complex data from various sources and make data-driven recommendations.</p></li><li><p><b>
Project Management:</b> Proven experience in managing retrofit projects from conception to completion.</p></li><li><p><b>
Regulatory Knowledge:</b> In-depth knowledge of building codes, standards, and regulations related to energy efficiency and decarbonization.</p></li><li><p><b>
Communication Skills:</b> Excellent written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.</p></li><li><p><b>
Team Collaboration:</b> Enthusiastically works collaboratively with cross-functional teams, including product, engineering, and customer success.</p></li></ul><p></p><p><b>
Logistics:</b></p><ul><li><p><b>
Work Authorization:</b> Authorization to work in the United States or Canada is required.</p></li><li><p><b>
Location:</b> This will be a hybrid role, and we generally hire out of 3 hubs: San Francisco, New York and Toronto. Being located in or near one of these cities is highly preferred.</p></li><li><p><b>
Compensation:</b> This role is currently set at a salary range of ~$140,000-170,000.</p></li></ul><p></p><p><b>
What We Offer</b></p><p>
We are a lean, growing, and high-performing team that works hard and is passionate about the climate problems we&rsquo;re working on. At Cambio we promise:</p><ul><li><p>
Fast-growing startup experience: You will be responsible for foundational work that will have a significant impact on decarbonizing the commercial real estate industry.</p></li><li><p>
Competitive compensation and founding startup equity.</p></li><li><p>
Work with the best: Our team members come from top organizations in their sectors, including OMERS, Goldman Sachs, Faire, One Medical, Google, and Bain.</p></li></ul><p>
If you thrive on delivering exceptional results to highly qualified customers to have a disproportionate impact on the real estate industry&rsquo;s path to net zero, we invite you to join our team as a Building Engineer at Cambio. Apply now to embark on this journey with us.</p></div>

Building Engineer

UCSF Health

<p></p><div><div><div><div><p>Performs test procedures in Transfusion Service. Performs and reports test results (manually and automated). Operates laboratory instrumentation &amp; equipment to accurately generate test results. Initiates troubleshooting of errant laboratory instrumentation &amp; equipment as needed. Follows established quality control procedures and participate in all associated tasks in the section. The final salary and offer components are subject to additional approvals based on UC policy.</p><p>
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)</p><p>
Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.</p><p>
The final salary and offer components are subject to additional approvals based on UC policy.</p><p>
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.</p><p>
The salary range for this position is $65.53 - $81.63(Hourly Rate).</p><p>
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html</p></div>
</div><div><p><b>Required Qualifications</b></p>
<div><div><ul><li>Bachelor of Science degree</li><li>
A valid California Department of Health Clinical Laboratory Scientist license or a limited license in Immunohematology</li><li>
Maintain active license and follow Clinical Lab CLS licensure policy</li><li>
Recent experience performing clinical lab testing in Transfusion Service</li><li>
Must be able to work in a high volume setting</li></ul></div></div>
</div><div><p><b>Preferred Qualifications</b></p>
<div><ul><li>Prefer two years&rsquo; Blood Bank or Transfusion Service experience in a high volume lab within the past five years, to include, but not exclusive of, experience in:<ul><li>
Selection and crossmatch of blood for the sensitized or problem recipient</li><li>
Antibody identification and titers</li><li>
Serologic follow-up of transfusion reactions</li><li>
Blood Bank quality control procedures</li><li>
Problems associated with transfusion of the neonate</li><li>
Use of hospital and laboratory information (computer) systems</li><li>
Experience performing testing on an automated platform</li></ul></li></ul></div><br>
</div><div><p><b>License/Certification</b></p>
<div><ul><li>California Clinical Laboratory Scientist (CLS) license</li></ul></div>
</div><div><p><b>About UCSF</b></p>
<div>At UCSF Health, our mission of innovative patient care, advanced technology and pioneering research is redefining what&rsquo;s possible for the patients we serve &ndash; a promise we share with the professionals who make up our team.
<br>
<br>
Consistently ranked among the top 10 hospitals nationwide by U.S. News &amp; World Report &ndash; UCSF Health is committed to providing the most rewarding work experience while delivering the best care available anywhere. In an environment that allows for continuous learning and opportunities for professional growth, UCSF Health offers the ideal atmosphere in which to best use your skills and talents.</div>
</div><div><p><b>Pride Values</b></p>
<div>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 &ndash; also known as our PRIDE values.
<br>
<br>
In addition to our PRIDE values, UCSF is committed to equity &ndash; 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 diversity.ucsf.edu
<br>
<br>
Join us to find a rewarding career contributing to improving healthcare worldwide.</div>
</div><div><p><b>Equal Employment Opportunity</b></p>
<div>The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.</div>
</div><div><p><b>Organization</b></p>
<div>Health</div>
</div><div><p><b>Job Code and Payroll Title</b></p>
<div>008940 CLIN LAB SCI
</div></div><div><p><b>Job Category</b></p>
<div>Allied Health, Clinical Labs</div>
</div><div><p><b>Bargaining Unit</b></p>
<div>University Professional and Technical Employees - Health Care Professionals Unit (UPTE-HX)
</div></div><div><p><b>Employee Class</b></p>
<div>Career</div>
</div><div><p><b>Percentage</b></p>
<div>60%</div>
</div><div><p><b>Location</b></p>
<div>San Francisco, CA
</div></div><div><p><b>Campus</b></p>
<div>Parnassus Heights (SF)
</div></div><div><p><b>Work Style</b></p>
<div>Fully On-Site</div>
</div><div><p><b>Shift</b></p>
<div>Variable</div>
</div><div><p><b>Shift Length</b></p>
<div>8 Hours
</div></div><div><p><b>Additional Shift Details</b></p>
<div>Monday-Friday; Weekends</div></div></div></div><div></div>

Clinical Lab Scientist - Part Time

CodeRabbit

<div></div><div><div><div><div><p>Location</p><div>
Bay Area, CA</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Hybrid</div></div><div><p>
Department</p><div>
Engineering</div></div><div><p>
Compensation</p><ul><div><p>
$175K &ndash; $275K &bull; Offers Equity</p></div></ul></div></div><div><div><p>
</p></div><p></p><div><div><div><b>
About CodeRabbit</b></div><p>
CodeRabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.</p><p></p><p><b>
Overview</b></p><ul><li><div>
As a Senior Software Engineer on CodeRabbit&rsquo;s Enterprise Engineering team, you'll be contributing to the development of advanced applied AI systems that revolutionize code review processes. You'll work at the intersection of intelligent systems and software engineering, creating tools and features that empower developers to ship high-quality code faster. Your expertise will be crucial in developing solutions that enhance code quality, scalability, and developer productivity. You&rsquo;ll work alongside other motivated engineers, AI researchers, infrastructure specialists, and product thinkers to build reliable, intelligent backend systems that power our developer tools at scale.</div></li><li><div>
The Enterprise Engineering team focuses on building features and systems tailored for large organizations, ensuring that our platform meets the unique needs of enterprise customers. This includes developing and maintaining the self-hosted deployment, robust security measures, compliance features, scalable architectures that can handle the demands of large-scale deployments, and unique integrations with existing enterprise tools and workflows.</div></li></ul><p></p><p><b>
Responsibilities</b></p><ul><li><div>
Design, develop, and maintain enterprise features for CodeRabbit&rsquo;s platform.</div></li><li><div>
Build industry leading enterprise systems and features that are highly available, intuitive, scalable, and secure.</div></li><li><div>
Work with product managers, designers, and other engineers to create systems and features that cater to large enterprise customers, both existing and prospective.</div></li><li><div>
Conduct design and code reviews to ensure scalability, performance and alignment with standards and best practices.</div></li><li><div>
Follow release management policies to ensure data integrity, compliance and system stability.</div></li><li><div>
Interface with customers and internal stakeholders to gather requirements, provide technical support, and ensure successful deployment of enterprise features.</div></li><li><div>
Mentor junior engineers and contribute to a culture of continuous learning and improvement within the team.</div></li></ul><p></p><p><b>
Qualifications</b></p><ul><li><div>
Bachelor&rsquo;s (or equivalent) degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.</div></li><li><div>
4+ years building backend systems and distributed infrastructure. Requires experience in a production environment, ideally with SaaS or enterprise software. Requires experience with the following:</div></li><li><div>
Programming languages commonly used for backend development - TypeScript (Node.js), Go, Java, or a similar modern backend stack</div></li><li><div>
Experience building and maintaining APIs (REST, GraphQL)</div></li><li><div>
Microservices, async job queues, and event-driven architectures</div></li><li><div>
Relational databases (PostgreSQL, MySQL)</div></li><li><div>
Cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability</div></li><li><div>
Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows</div></li><li><div>
Thoughtful about trade-offs, user experience, and fast iteration</div></li></ul><p></p><p><b>
As a bonus, experience with:</b></p><ul><li><div>
Code search, code graphs, tree-sitter, or static analysis tools, and an understanding of how to apply them in real-world engineering environments</div></li><li><div>
Integrating AI/LLM-based systems into product workflows</div></li><li><div>
Open-source or community projects</div></li><li><div>
Designing or implementing agent-based systems or AI products involving autonomous or task-driven agents</div></li></ul></div></div></div></div></div><p></p>

Senior Software Engineer - Enterprise Engineering

Substack

<div><p>Substack is building a new economic engine for culture, giving the brightest, most interesting, and most creative people on the internet the power of their own publishing platform. The terms of our culture should not be set by gate-keeping legacy media or chaos-fueling social media, but by the people who make and participate in that culture. Substack's model, based on direct subscriptions, has fueled an explosion of independent publishing. It empowers creators with economic autonomy, creative ownership, and a direct connection to their most engaged audiences.</p><p>
As a <b>Systems Engineer</b> on Substack's ML Team, you will be responsible for building and maintaining the infrastructure that powers our machine learning capabilities. You will focus on the systems, pipelines, and platforms that enable our ML team to develop, deploy, and scale machine learning solutions effectively. This role offers an exciting opportunity to architect the foundational ML infrastructure that will support Substack's growing AI/ML initiatives.</p><p><b>
Responsibilities</b></p><ul><li><p>
Design and build scalable ML infrastructure including model serving systems, feature stores, and training pipelines</p></li><li><p>
Develop and maintain robust data pipelines for ML workflows, from data ingestion to model deployment</p></li><li><p>
Implement MLOps best practices including CI/CD for ML models, monitoring, and automated retraining pipelines</p></li><li><p>
Build and optimize model serving infrastructure to support real-time and batch inference at scale</p></li><li><p>
Collaborate with ML engineers and data scientists to understand infrastructure requirements and translate them into reliable systems</p></li><li><p>
Monitor and optimize ML system performance, reliability, and cost efficiency</p></li><li><p>
Establish infrastructure standards and tooling to accelerate ML development workflows</p></li><li><p>
Own the deployment and operational aspects of ML models in production</p></li></ul><p><b>
Requirements</b></p><ul><li><p>
5+ years of relevant experience building and maintaining data/ML infrastructure systems</p></li><li><p>
Strong programming skills in Python or TypeScript and experience with infrastructure-as-code tools</p></li><li><p>
Experience with ML infrastructure components such as feature stores, model registries, and serving systems</p></li><li><p>
Solid understanding of distributed systems, containerization (Docker/Kubernetes), and cloud platforms</p></li><li><p>
Experience with data pipeline orchestration tools (e.g., Airflow, Prefect, or similar)</p></li><li><p>
Independent and autonomous. We're too small to micromanage, and expect that every person at the company owns their work and can be a leader</p></li><li><p>
Hold yourself and others to a high standard when working on production systems</p></li><li><p>
Enjoy collaboration with a diverse group of stakeholders while bringing your own unique experience and background to the team</p></li></ul><p><b>
Nice to have</b></p><ul><li><p>
Experience with ML serving frameworks (e.g., TensorFlow Serving, MLflow, Ray Serve)</p></li><li><p>
Knowledge of monitoring and observability tools for ML systems</p></li><li><p>
Experience with cloud ML platforms (AWS SageMaker, Modal, or similar)</p></li><li><p>
Understanding of ML model lifecycle management and MLOps practices</p></li><li><p>
Experience with consumer web applications at scale</p></li><li><p>
Familiarity with ML frameworks like PyTorch and Tensorflow</p></li><li><p>
Familiarity with JavaScript/TypeScript</p></li></ul><p>
Substack&rsquo;s compensation package includes a market-competitive salary, equity, and exceptional benefits. Our cash compensation salary range for this role is $200,00-250,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.</p><p>
Substack is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity or transgender status), age, national origin, veteran or disability status. We&rsquo;re seeking people passionate about enabling independent expression and building a better business model for creators. If you want to see what media, communities, and content can become when unmoored from advertising models, and you have the skills and experience to contribute, we&rsquo;d love to meet you.</p><p>
Please see our Privacy Notice for details regarding Substack's collection and use of personal information relating to the application and recruitment process by clicking here.</p></div>

Machine Learning Systems Engineer

Genentech

<div><div><div>THE POSITION</div><p>
We advance science so that we all have more time with the people we love.</p><p></p><div><div><div><div><p><b>
Who we are:</b></p><p></p><p>
The Department of Translational Medicine leads biomarker discovery and development efforts for programs in Early Stage Research through Phase III clinical trials for the disease areas of Ophthalmology, Metabolism, Neuroscience, Immunology and Infectious Diseases (TM-OMNI). Biomarker scientists within our department are responsible for conducting translational research to study the molecular and cellular pathways driving disease to generate novel target and biomarker approaches. We develop biomarker strategies, design and implement biomarker assays, and interpret biomarker results. We use relevant pharmacodynamic biomarkers to evaluate target-engagement and mechanism of action of candidate therapies, as well as prognostic and predictive biomarkers to guide patient selection and personalized healthcare strategies.</p></div></div></div></div><p></p><p>
The Respiratory group in Translational Medicine at Genentech is seeking a highly talented, driven and motivated lab-based Scientist to support our research and clinical development activities in immunology and respiratory diseases. Our department is responsible for defining and executing biomarker strategies in our clinical trials, and using human clinical translational research to generate novel target and biomarker approaches. Through our clinical trials, as well as our translational research efforts, our group identifies and implements biomarkers to evaluate disease heterogeneity, target engagement, mechanism of action, and disease modification.</p><p></p><p>
The successful candidate will be expected to work independently and collaboratively supporting clinical development and translational research for immunology and respiratory diseases, providing scientific and technical expertise and generating high quality data through rigorous scientific approaches. Excellent communication skills will facilitate fruitful and open collaborations with other functions including Research, Bioanalytical Assay Science, Diagnostics, Clinical Pharmacology, Clinical, Biostatistics and Computational Sciences. The successful candidate will be expected to present their work to the department, cross-functional teams, internal review committees and external conferences.</p><p></p><p><b>
The Opportunity:</b></p><p>
As an integral member of this dynamic team, you will be:</p><ul><li><p>
Discovering and evaluating candidate targets or biomarkers</p></li><li><p>
Developing and implementing biomarker assays in preclinical models and clinical trials</p></li><li><p>
Evaluating new technologies as potential novel biomarker assay platforms</p></li><li><p>
Analyzing large data sets using available analysis tools</p></li><li><p>
Documenting experiments and studies in lab notebook</p></li><li><p>
Communicating findings to their manager and key stakeholders</p></li><li><p>
Coordinating interdepartmental and/or external collaborations</p></li><li><p>
Performing other duties as assigned</p></li></ul><p></p><p><b>
Who you are:</b></p><p></p><p>
Strong candidates for this position will meet most of the following requirements:</p><ul><li><p>
BS or MS degree, in respiratory, immunology, pharmacology, molecular biology, biochemistry or related field (BS Degree with 2-5 years; Master&rsquo;s degree with 0-2 years research/professional experience in relevant fields)</p></li><li><p>
At least 3 years of relevant experience in immunology, inflammation and/or respiratory disease research, or related diseases.</p></li><li><p>
Familiarity with a broad spectrum of laboratory techniques, such as cell culture, ELISA, qPCR, cytokine profiling, molecular biology, transcriptomics, LC/MS, flow cytometry, NGS, iPSC/organoid or other complex in vitro culture systems, and/or human whole blood assays, and handling human / preclinical samples is required</p></li><li><p>
Familiarity in assay development is required</p></li><li><p>
Preferred candidates will have experience with bioinformatics analysis of laboratory-generated data, including high-dimensional data such as genome sequencing, scRNA-seq, TCR-seq, CITE-seq or spatial transcriptomics.</p></li><li><p>
Able to independently design, execute and interpret experiments in a lab-based setting.</p></li><li><p>
Excellent written and oral communication skills, as evidenced by publication or internal/external presentations and a seminar during candidacy.</p></li><li><p>
Excellent time management skills and willing to work in a collaborative environment.</p></li></ul><p>
Relocation benefits are not available for this job posting.</p><p></p><p>
The expected salary range for this position based on the primary location of California is . 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.</p><p></p><p>
Benefits</p><p></p><p>
#TMOMNI</p><p>
#TM</p><p></p><p>
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<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Biology
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Sep 4th 2025
</p></div><div><b>Job ID</b><b>
</b><p>202509-122352</p></div></ul></div></div></div></div><p></p>

Scientist 2- 202505-110898 Scientist 3, Translational Medicine (Immunology and Respiratory)

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